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Dissertations / Theses on the topic 'Process machine'
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1
Wilmot, Wessley. "Process and machine improvements and process condition monitoring for a deep-hole internal milling machine." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/process-and-machine-improvements-and-process-condition-monitoring-for-a-deephole-internal-milling-machine(2bb87f60-aa39-4fff-a82a-9360ce36b74c).html.
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Milling is a widely used cutting process, most commonly applied to machining external surfaces of workpieces. When machining operations are required within hard to reach areas of components, or deep within the bore of components, alternative methods of metal removal are generally employed. Typically when milling at extended reaches, difficulties may increase exponentially when trying to achieve distances several meters into a component. Essentially every topic of the milling process becomes difficult and more convoluted. Firstly to generate a stable cutting condition, and ultimately for an operator to be able to understand the cutting conditions, when all normal senses to interpret the machining stability are removed. The aim for the research is, to enable the operation of high slenderness ratio internal milling operations to become a viable technology, by detailing the measures required, to obtain a stable cutting condition. The process needs to be monitored for degradation of the tooling due to wear, and to prevent catastrophic machine damage from tool breakage or machine component failure. This research addresses the lack of knowledge available for milling with extended reaches, and the knowledge gained to overcome the real difficulties that exist for this process. Initial experiments are conducted on a prototype machine to gain experience of the internal machining operation and the many issues that it faced. Establishing requirements of the process via investigation of the tooling and necessary auxiliary equipment, it becomes possible to consider countermeasures to address the errors generated by torsional twisting of the milling arm. A system for applying a counter torque to reduce torsional deflection errors has been employed to successfully reduce the unavoidable issue over such long distances. For the process to become manageable for an industrial operator without a high level of specialist knowledge, the application of tool condition monitoring (TCM) and process condition monitoring (PCM) had to be applied. This addresses a void in available literature and research with respect to internal machining, and enables the process to become practical for an industrial environment. For this reason the research project will concentrate on the application of TCM and PCM onto the machining system. The completion of the research resulted in the process becoming satisfyingly stable, and with a resulting accuracy that satisfies the requirements of the component. Performance of the final system rivalled or achieved better results than had been experienced by the project sponsor.
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Hack, Byron Wallis John 1963. "Man to machine, machine to machine and machine to instrument interfaces for teleoperation of a fluid handling laboratory." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276764.
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The purpose of this thesis is the design of the software necessary for teleoperation of a fluid handling laboratory. It does not include the implementation of this software. The laboratory for which it is designed is being developed at the University of Arizona, and is a model of the fluid handling laboratory aboard Space Station. The software includes man/machine, machine/machine, and machine/instrument interfaces. The man/machine interface is menu driven and consists of high level commands which are independent of the devices in the laboratory. The machine/machine interface is also device independent. It consists of intermediary commands and maps the commands of the man/machine interface into the low level, device dependent, commands and programs of the machine/instrument interface. Although the software is primarily designed for the model laboratory, the needs of a remotely operated fluid handling laboratory aboard Space Station have been considered.
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Habli, Nada. "Nonparametric Bayesian Modelling in Machine Learning." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34267.
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Nonparametric Bayesian inference has widespread applications in statistics and machine learning. In this thesis, we examine the most popular priors used in Bayesian non-parametric inference. The Dirichlet process and its extensions are priors on an infinite-dimensional space. Originally introduced by Ferguson (1983), its conjugacy property allows a tractable posterior inference which has lately given rise to a significant developments in applications related to machine learning. Another yet widespread prior used in nonparametric Bayesian inference is the Beta process and its extensions. It has originally been introduced by Hjort (1990) for applications in survival analysis. It is a prior on the space of cumulative hazard functions and it has recently been widely used as a prior on an infinite dimensional space for latent feature models.
Our contribution in this thesis is to collect many diverse groups of nonparametric Bayesian tools and explore algorithms to sample from them. We also explore machinery behind the theory to apply and expose some distinguished features of these procedures. These tools can be used by practitioners in many applications.
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Weyrauch, Thomas. "The Paperboard Testing-Machine : Development Process." Thesis, KTH, Hållfasthetslära (Inst.), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-92639.
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The design of a paperboard testing machine, developed in order to analyse the mechanical behaviour of paperboard during the combined of out-of-plane shear and compressive loading as in the deepdrawing process, is presented. The methodology to design a paperboard testing machine is discussed and the most appropriate concepts are compared and evaluated. The design process is presented in detail, and some pilot tests are performed to give an overview about the functionality of the manufactured prototype.
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Davis, Tyler A. "Flexible machine tool control for direct, in-process dimensional part inspection /." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd478.pdf.
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UTTAM, SANGEET. "OPTIMAL TOLERANCE SYNTHESIS FOR PROCESS PLANNING WITH MACHINE SELECTION." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin990648438.
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Zhang, Weijie. "Machine-human Cooperative Control of Welding Process." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/45.
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An innovative auxiliary control system is developed to cooperate with an unskilled welder in a manual GTAW in order to obtain a consistent welding performance. In the proposed system, a novel mobile sensing system is developed to non-intrusively monitor a manual GTAW by measuring three-dimensional (3D) weld pool surface. Specifically, a miniature structured-light laser amounted on torch projects a dot matrix pattern on weld pool surface during the process; Reflected by the weld pool surface, the laser pattern is intercepted by and imaged on the helmet glass, and recorded by a compact camera on it. Deformed reflection pattern contains the geometry information of weld pool, thus is utilized to reconstruct its $3$D surface. An innovative image processing algorithm and a reconstruction scheme have been developed for (3D) reconstruction.
The real-time spatial relations of the torch and the helmet is formulated during welding. Two miniature wireless inertial measurement units (WIMU) are mounted on the torch and the helmet, respectively, to detect their rotation rates and accelerations. A quaternion based unscented Kalman filter (UKF) has been designed to estimate the helmet/torch orientations based on the data from the WIMUs. The distance between the torch and the helmet is measured using an extra structure-light low power laser pattern.
Furthermore, human welder's behavior in welding performance has been studied, e.g., a welder`s adjustments on welding current were modeled as response to characteristic parameters of the three-dimensional weld pool surface. This response model as a controller is implemented both automatic and manual gas tungsten arc welding process to maintain a consistent full penetration.
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Loustaunau, Matthieu. "Industrial process error estimation by machine learning." Thesis, KTH, Numerisk analys, NA, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-178069.
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Performing a set-up on a complex machine may be difficult. This problem arises frequently for the industry, especially when the relation between input and output data cannot be defined precisely. Heavy methods of optimization may be used to perform a set-up. This master thesis investigate the possibility to use a machine learning approach on a specific machine. We study the structure of the relation between input and output data. We show the variations are smooth. We define a set of tests to evaluate future models. We design and test several models on simulation data, and select the best one. We design a strategy to use data in the best possible way. The selected model is then tested on actual data in order to be optimized.Att justera ett komplext maskineri kan vara mödosamt. Detta problem uppkommer ofta i industrin när relationen mellan in- och utdata inte kan definieras. Tunga optimeringsmetoder kan användas för justeringprocessen. Dennauppsats undersöker möjligheten att använda en s.k. machine learning approach med ett specifikt maskineri. Vi studerar datastrukturen och relationen mellan in- och utdata. Vi visar på att variationer är släta. Vi definierar en rad av tester för att värdera framtida modeller. Vi formger och testar flera modeller med simulerade data och välja den bästa. Vi designar en strategi för att använda data på bästa sätt, för att sedan testa den utvalda modellen på verklig data för att optimeras.
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Hecker, Rogelio Lorenzo. "Power feedback control in cylindrical grinding process." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/16619.
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El-Mounayri, Hazim A. "Generic solid modelling based machining process simulation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ30083.pdf.
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Wu, Yuting. "Process-Oriented User Behavior Study Based on Machine Learning." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-161819.
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Khan, Muhammad Imran, and Muhammad Junaid Atta. "Process control and automation of a PU moulding machine." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Data- och elektroteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-17588.
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This Thesis Involves the Automation and Control of PU moulding machine. Foam is made by a chemical reaction of ISO and Polyol, when they combined each other by the help of some agitator or with some mixing element, foam starts to grow which can shaped after. Previously there were such companies for foam making moulding machines they designed low pressure machines, because of this foam quality were not good because of low agitation and penetration. This Project is based on the Improvement and enhancement of such moulding machines with high pressure up to 200 Bar.
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Davies, Alexander James. "Effective implementation of Gaussian process regression for machine learning." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708909.
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Snelson, Edward Lloyd. "Flexible and efficient Gaussian process models for machine learning." Thesis, University College London (University of London), 2007. http://discovery.ucl.ac.uk/1445855/.
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Gaussian process (GP) models are widely used to perform Bayesian nonlinear regression and classification tasks that are central to many machine learning problems. A GP is nonparametric, meaning that the complexity of the model grows as more data points are received. Another attractive feature is the behaviour of the error bars. They naturally grow in regions away from training data where we have high uncertainty about the interpolating function. In their standard form GPs have several limitations, which can be divided into two broad categories: computational difficulties for large data sets, and restrictive modelling assumptions for complex data sets. This thesis addresses various aspects of both of these problems. The training cost for a GP has 0(N3) complexity, where N is the number of training data points. This is due to an inversion of the N x N covariance matrix. In this thesis we develop several new techniques to reduce this complexity to 0(NM2), where M is a user chosen number much smaller than N. The sparse approximation we use is based on a set of M 'pseudo-inputs' which are optimised together with hyperparameters at training time. We develop a further approximation based on clustering inputs that can be seen as a mixture of local and global approximations. Standard GPs assume a uniform noise variance. We use our sparse approximation described above as a way of relaxing this assumption. By making a modification of the sparse covariance function, we can model input dependent noise. To handle high dimensional data sets we use supervised linear dimensionality reduction. As another extension of the standard GP, we relax the Gaussianity assumption of the process by learning a nonlinear transformation of the output space. All these techniques further increase the applicability of GPs to real complex data sets. We present empirical comparisons of our algorithms with various competing techniques, and suggest problem dependent strategies to follow in practice.
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Uusi-Hallila, S. (Senni). "Utilizing froth phase behaviour and machine vision to indicate flotation performance." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201404161276.
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Flotation is one of the most well-known mineral separation methods. In flotation process hydrophobicity of the solids is manipulated in order to separate the valuable minerals from the gangue. It is highly complex process because many simultaneous sub-processes and interactions occur within the system. It is essential to have a good understanding and representation of the flotation phenomena in order to design control strategies.
Modern physical froth stability measures have an intrusive nature and therefore they are not practical to provide a continuous online froth stability measurement. Unlike these measures, machine vision is able to measure the key aspects of the froth owing to its non-intrusive nature. Several physical, statistical and dynamical features of froth surface are possible to measure with the machine vision techniques.
The objective of this work was to understand the froth phase behavior better which indicates the flotation performance. Literature review of flotation and measurements used in flotation were performed. Image analysis methods were listed and, regarding to the importance of the froth stability, dynamical features of the froth image analysis were investigated more closely. A primary batch flotation test-work was carried out in University of Oulu. The main batch flotation experiments were executed in University of Cape Town with the wide range of operating conditions. Video captures were analyzed with statistical methods and dependencies between FrothSense™ data and concentration data were discovered. Furthermore, PLS model was formed from FrothSense™ data and process measurements in order to predict water recovery, copper grade and copper recovery.
Online measurements obtained from FrothSense™ with wide range of operating conditions can be used for soft sensors. Soft sensors can estimate the stability of the froth with the robust predictions.
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Naish, Jane Catherine. "Process capability modelling for manufacturing process selection in an integrated simultaneous engineering workstation." Thesis, University of Strathclyde, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366813.
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Das, Suman. "Direct selective laser sintering of high performance metals : machine design, process development and process control /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
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Öberg, Johanna. "Time prediction and process discovery of administration process." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-432893.
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Machine learning and process mining are two techniques that are becoming more and more popular among organisations for business intelligence purposes. Results from these techniques can be very useful for organisations' decision-making. The Swedish National Forensic Centre (NFC), an organisation that performs forensic analyses, is in need of a way to visualise and understand its administration process. In addition, the organisation would like to be able to predict the time analyses will take to perform. In this project, it was evaluated if machine learning and process mining could be used on NFC's administration process-related data to satisfy the organisation's needs. Using the process mining tool Mehrwerk Process Mining implemented in the software Qlik Sense, different process variants were discovered from the data and visualised in a comprehensible way. The process variants were easy to interpret and useful for NFC. Machine learning regression models were trained on the data to predict analysis length. Two different datasets were tried, a large dataset with few features and a smaller dataset with more features. The models were then evaluated on test datasets. The models did not predict the length of analyses in an acceptable way. A reason to this could be that the information in the data was not sufficient for this prediction.
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Zhou, Erping. "An automated in-process measuring system for CCN machine tools." Thesis, Staffordshire University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295291.
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Charatsidou, Elina. "A Machine Learning Approach to the Nuclear Fuel Fabrication Process." Thesis, KTH, Fysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276690.
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Jung, Sung-Oh. "A quantitative man-machine model for cyber security efficiency analysis." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4851.
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The analysis of security defense processes is of utmost importance in the
management of various cyber-security attacks, which are increasing in scope and
rapidity. Organizations need to optimize their resources based on a sound understanding
of the level of their security defense processes' efficiency and the impact of their
investment.
Modeling and characterization of the dynamics of cyber security management are
essential to risk prediction, damage assessment, and resource allocations. This
dissertation addresses the interactions between human factors and information systems.
On the basis of the spiral life cycle model of software development processes, we
develop a realistic, holistic security attack-defense model - Man-Machine Model (M3),
which combines human factors and information systems' (i.e., machine) states under an
integrated analytical framework. M3 incorporates man and machine components. The
man component is comprised of several variables such as Skill & Knowledge (SKKN)
and Teamwork Quality (TWQ). The machine component is composed of variables such
as traffic volume and the amount of downtime. M3 enables the analysis of intrusion
detection and incident response process efficiency, i.e., security defense team
performance.
With data analysis, we formulate and test four major research hypotheses based
on the data collected during security experiments. Through hypothesis testing, we
evaluate regression models to estimate the security defense team performance (i.e.
efficiency) at different levels of human intelligence (e.g., skill and knowledge) and teamwork (e.g., teamwork quality). We assess the fitness and significance of the
regression models, and verify their assumptions. Based on these results, organizations
can hire those who have an appropriate level of skill and knowledge when it concerns
investments to increase the level of skill and knowledge of security personnel. They also
can attempt to increase the level of skill and knowledge of security personnel.
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Khodabandelou, Ghazaleh. "Mining Intentional Process Models." Phd thesis, Université Panthéon-Sorbonne - Paris I, 2014. http://tel.archives-ouvertes.fr/tel-01010756.
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Jusqu'à présent, les techniques de fouille de processus ont modélisé les processus en termes des séquences de tâches qui se produisent lors de l'exécution d'un processus. Cependant, les recherches en modélisation du processus et de guidance ont montrée que de nombreux problèmes, tels que le manque de flexibilité ou d'adaptation, sont résolus plus efficacement lorsque les intentions sont explicitement spécifiées. Cette thèse présente une nouvelle approche de fouille de processus, appelée Map Miner méthode (MMM). Cette méthode est conçue pour automatiser la construction d'un modèle de processus intentionnel à partir des traces d'activités des utilisateurs. MMM utilise les modèles de Markov cachés pour modéliser la relation entre les activités des utilisateurs et leurs stratégies (i.e., les différentes façons d'atteindre des intentions). La méthode comprend également deux algorithmes spécifiquement développés pour déterminer les intentions des utilisateurs et construire le modèle de processus intentionnel de la Carte. MMM peut construire le modèle de processus de la Carte avec différents niveaux de précision (pseudo-Carte et le modèle du processus de la carte) par rapport au formalisme du métamodèle de Map. L'ensemble de la méthode proposée a été appliqué et validé sur des ensembles de données pratiques, dans une expérience à grande échelle, sur les traces d'événements des développeurs de Eclipse UDC.
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Song, Sukhan. "Intelligent machining control for turning process /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
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Constantinides, N. "Adaptive control of the milling process and tool wear measurements." Thesis, University of Sheffield, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294141.
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Berndt, Stephanie. "Manufacturing Analysis and Process Optimization of Welded Parts." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378195880.
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Mendling, Jan, Gero Decker, Richard Hull, Hajo A. Reijers, and Ingo Weber. "How do Machine Learning, Robotic Process Automation, and Blockchains Affect the Human Factor in Business Process Management?" Association for Information Systems, 2018. http://epub.wu.ac.at/6557/1/CAIS%2D2018%2DMendling_et_al%2DHow_do_Machine_Learning%2C_Robotic_Process_Automation_and_Blockchains_affect_the_Human_Factor_in_Business_Process_Management.pdf.
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This paper summarizes a panel discussion at the 15th International Conference on Business Process Management.
The panel discussed to what extent the emergence of recent technologies including machine learning, robotic process
automation, and blockchain will reduce the human factor in business process management. The panel discussion took
place on 14 September, 2017, at the Universitat Politècnica de Catalunya in Barcelona, Spain. Jan Mendling served as
a chair; Gero Decker, Richard Hull, Hajo Reijers, and Ingo Weber participated as panelists. The discussions emphasized
the impact of emerging technologies at the task level and the coordination level. The major challenges that the panel
identified relate to employment, technology acceptance, ethics, customer experience, job design, social integration, and regulation.
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Mendling, Jan, Gero Decker, Hull Richard, A. Reijers Hajo, and Weber Ingo. "How do Machine Learning, Robotic Process Automation, and Blockchains Affect the Human Factor in Business Process Management?" Association for Information Systems, 2018. http://epub.wu.ac.at/6383/1/CAIS%2D2018%2DMendling_et_al%2DHow_do_Machine_Learning%2C_Robotic_Process_Automation_and_Blockchains_affect_the_Human_Factor_in_Business_Process_Management.pdf.
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This paper summarizes a panel discussion at the 15th International Conference on Business Process Management.
The panel discussed to what extent the emergence of recent technologies including machine learning, robotic process
automation, and blockchain will reduce the human factor in business process management. The panel discussion took
place on 14 September, 2017, at the Universitat Politècnica de Catalunya in Barcelona, Spain. Jan Mendling served as
a chair; Gero Decker, Richard Hull, Hajo Reijers, and Ingo Weber participated as panelists. The discussions emphasized
the impact of emerging technologies at the task level and the coordination level. The major challenges that the panel
identified relate to employment, technology acceptance, ethics, customer experience, job design, social integration, and regulation.
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Schiffers, Reinhard, Georg P. Holzinger, and Gernot Huster. "Adaptive process control for stabilizing the production process in injection moulding machines." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-200201.
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Plastic injection moulding machines are a positive example of the possibilities in terms of performance and energy efficiency of modern hydraulic drives technology. In addition to the performance and energy efficiency of the machines, the quality of the plastic mouldings and an easy to use machines control is the focus. To ensure a constant plastics part quality the set process parameters of the injection moulding machines are kept constant by appropriate closed loop control strategies today. Assuming a constant quality of the processed plastic raw material, this strategy is effective. If it comes to a qualitative variation in the processed plastics, which often leads to a change in viscosity of the plastics melt, keeping processing parameters constant will not lead to a constant quality of the moulded parts. The deviations in the plastics viscosity have such a great influence on the moulding process that the relevant process parameters have to be adjusted manually in many cases. Often the stroke of the reciprocating screw system has to be adapted to reach a constant filling volume of the cavity and therefore avoid burr formation or short shots. In this paper an approach for adaptive process control is introduced. This control loop is able to correct the set points of specific machines parameters online within the production cycle and therefore is able to avoid changes in the produced parts quality.
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Ganesan, Rajesh. "Process monitoring and feedback control using multiresolution analysis and machine learning." [Tampa, Fla] : University of South Florida, 2005. http://purl.fcla.edu/usf/dc/et/SFE0001248.
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Davis, Tyler Addison. "Flexible machine tool control for direct, in-process dimensional part inspection." BYU ScholarsArchive, 2004. https://scholarsarchive.byu.edu/etd/139.
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For some time now coordinate measuring machines have been an integral part of the shop floor. The goal has been to make coordinate measuring machines (CMMs) into tools that can easily be used by machinists to improve their manufacturing capabilities. The value of a CMM as a quality control tool is undisputed. Now efforts are being made to further reduce the time and cost of measurement by reducing the physical distance between machining and measuring processes. The ability to reduce that distance to zero and measure a part directly on the chip-making machine has been a goal for many years. Dimensional inspection of parts is primarily conducted by coordinate measuring machines operating on motion instructions from task planning software. The research in direct machining and control (DMAC) at BYU has identified a potential application of CMM technologies on existing machine tools. To prove that a machine tool can be controlled as a CMM with the DMAC controller, this research will integrate the software package PC-DMIS provided by Wilcox Associates, Inc. with a DMAC controller provided by Direct Controls, Inc. to conduct in-process dimensional inspection of parts as they are being machined. This process is referred to as DirectCMM because it will link the DMAC controller directly to PC-DMIS without need for post-processing. This thesis will lay the groundwork for future efforts at developing systems that utilize in-process part inspection to dynamically correct computer aided manufacturing (CAM) process plans. To aid future efforts at dynamic CAM process updating, a software interface specification will be created for passing measurement data between CMM and CAD/CAM software packages. A CMM control specification will also be created to provide a standard method for controlling coordinate measuring machines with the DMAC controller. Possible methods for dynamic CAD/CAM updating will be explored.
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Bageant, Maia R. (Maia Reynolds). "Development of a precision hot embossing machine with in-process sensing." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81732.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 121-123).
Microuidic technologies show great promise in simplifying and speeding biological, medical, and fluidic tasks, but transitioning these technologies from a laboratory environment to a production environment has proven difficult. This work focuses on hot embossing as a process suitable to produce these devices. In this work, a precision micro-embossing machine capable of maintaining precise setpoints in force and temperature input as well as displaying highly linear, repeatable motion and force application is developed and characterized. Additionally, this equipment is then outfitted with additional sensors that allow for three measurements relevant to process physics and product quality to be captured: initial substrate geometry; substrate bulk deformation; and glass transition temperature of the material. These measurements can be captured in-process without modifying the production cycle. The end goal is to incorporate this precision micro-embossing machine into a micro-factory cell and to implement closed-loop cycle-to-cycle process control.
by Maia R. Bageant.
S.M.
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Samuelsson, Peter. "Management of technology in the process industries: Matching market and machine." Doctoral thesis, KTH, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199705.
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The process industries span multiple industrial sectors and constitute a substantial part of the entire manufacturing industry. Since companies belonging to this family of industries are often very asset intensive, their ability to respond to changes is often limited in the short term. The adaptation of the capabilities of existing processes, and conversely finding products and market segments to match the production system capabilities, are an important part of product- and market development activities in the process industry. The importance to companies in the process industry of having a well-articulated manufacturing strategy congruent with the business strategy is second to none. However, to facilitate manufacturing strategy developments, it is essential to start with an improved characterization and understanding of the material transformation system. To that end an extensive set of variables was developed and related measures and scales were defined. The resulting configuration model, focusing on company generic process capabilities in the process industries, is to be regarded as a conceptual taxonomy and as a proposition available for further testing. The usability of the model was subsequently assessed using “mini-cases” in the forestry industry, where the respondents confirmed that the company’s overall strategy could benefit from this kind of platform as a possible avenue to follow. The model was deployed as an instrument in the profiling of company material transformation systems to facilitate the further development of companies' functional and business strategies. The use of company-generic production capabilities was studied in three case companies representing the mineral, food and steel industries. The model was found by the respondents to be usable as a knowledge platform to develop production strategies. In the final analysis of the research results, a new concept emerged called “production capability configuration": A process-industrial company’s alignment of its generic production capabilities in the areas of raw materials, process technology and products to improve the consistency among the variable elements that define operations and improve the congruence between operations and its environment. From the perspective of value creation and capture, firms must be able to manufacture products in a competitive cost structure within the framework of a proper business model. By using the configuration model, the relationship between manufacturing and innovation activities has been studied in the previously mentioned three case studies. In many cases the gap in capability appears as a limitation in the production system, requiring development efforts and sometimes investments to overcome. This is illustrated with two examples from the steel industry, where development efforts of the production system capabilities are initiated to better match the market demands. One example is the increase the volume- and product flexibility of an existing stainless steel melt shop, resulting in a proposed oblong Argon Oxygen Decarburisation (AOD) converter configuration that was subsequently verified using water modelling. The second example is from a carbon steel mill, where the target was to increase the raw material- and volume flexibility of another melt shop, by modifying the capabilities of the Electric Arc Furnace (EAF). Enabling EAF technologies are further described and evaluated using operational data and engineering type of estimates.QC 20170116
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Tuovinen, L. (Lauri). "From machine learning to learning with machines:remodeling the knowledge discovery process." Doctoral thesis, Oulun yliopisto, 2014. http://urn.fi/urn:isbn:9789526205243.
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Abstract Knowledge discovery (KD) technology is used to extract knowledge from large quantities of digital data in an automated fashion. The established process model represents the KD process in a linear and technology-centered manner, as a sequence of transformations that refine raw data into more and more abstract and distilled representations. Any actual KD process, however, has aspects that are not adequately covered by this model. In particular, some of the most important actors in the process are not technological but human, and the operations associated with these actors are interactive rather than sequential in nature. This thesis proposes an augmentation of the established model that addresses this neglected dimension of the KD process. The proposed process model is composed of three sub-models: a data model, a workflow model, and an architectural model. Each sub-model views the KD process from a different angle: the data model examines the process from the perspective of different states of data and transformations that convert data from one state to another, the workflow model describes the actors of the process and the interactions between them, and the architectural model guides the design of software for the execution of the process. For each of the sub-models, the thesis first defines a set of requirements, then presents the solution designed to satisfy the requirements, and finally, re-examines the requirements to show how they are accounted for by the solution. The principal contribution of the thesis is a broader perspective on the KD process than what is currently the mainstream view. The augmented KD process model proposed by the thesis makes use of the established model, but expands it by gathering data management and knowledge representation, KD workflow and software architecture under a single unified model. Furthermore, the proposed model considers issues that are usually either overlooked or treated as separate from the KD process, such as the philosophical aspect of KD. The thesis also discusses a number of technical solutions to individual sub-problems of the KD process, including two software frameworks and four case-study applications that serve as concrete implementations and illustrations of several key features of the proposed process modelTiivistelmä Tiedonlouhintateknologialla etsitään automoidusti tietoa suurista määristä digitaalista dataa. Vakiintunut prosessimalli kuvaa tiedonlouhintaprosessia lineaarisesti ja teknologiakeskeisesti sarjana muunnoksia, jotka jalostavat raakadataa yhä abstraktimpiin ja tiivistetympiin esitysmuotoihin. Todellisissa tiedonlouhintaprosesseissa on kuitenkin aina osa-alueita, joita tällainen malli ei kata riittävän hyvin. Erityisesti on huomattava, että eräät prosessin tärkeimmistä toimijoista ovat ihmisiä, eivät teknologiaa, ja että heidän toimintansa prosessissa on luonteeltaan vuorovaikutteista eikä sarjallista. Tässä väitöskirjassa ehdotetaan vakiintuneen mallin täydentämistä siten, että tämä tiedonlouhintaprosessin laiminlyöty ulottuvuus otetaan huomioon. Ehdotettu prosessimalli koostuu kolmesta osamallista, jotka ovat tietomalli, työnkulkumalli ja arkkitehtuurimalli. Kukin osamalli tarkastelee tiedonlouhintaprosessia eri näkökulmasta: tietomallin näkökulma käsittää tiedon eri olomuodot sekä muunnokset olomuotojen välillä, työnkulkumalli kuvaa prosessin toimijat sekä niiden väliset vuorovaikutukset, ja arkkitehtuurimalli ohjaa prosessin suorittamista tukevien ohjelmistojen suunnittelua. Väitöskirjassa määritellään aluksi kullekin osamallille joukko vaatimuksia, minkä jälkeen esitetään vaatimusten täyttämiseksi suunniteltu ratkaisu. Lopuksi palataan tarkastelemaan vaatimuksia ja osoitetaan, kuinka ne on otettu ratkaisussa huomioon. Väitöskirjan pääasiallinen kontribuutio on se, että se avaa tiedonlouhintaprosessiin valtavirran käsityksiä laajemman tarkastelukulman. Väitöskirjan sisältämä täydennetty prosessimalli hyödyntää vakiintunutta mallia, mutta laajentaa sitä kokoamalla tiedonhallinnan ja tietämyksen esittämisen, tiedon louhinnan työnkulun sekä ohjelmistoarkkitehtuurin osatekijöiksi yhdistettyyn malliin. Lisäksi malli kattaa aiheita, joita tavallisesti ei oteta huomioon tai joiden ei katsota kuuluvan osaksi tiedonlouhintaprosessia; tällaisia ovat esimerkiksi tiedon louhintaan liittyvät filosofiset kysymykset. Väitöskirjassa käsitellään myös kahta ohjelmistokehystä ja neljää tapaustutkimuksena esiteltävää sovellusta, jotka edustavat teknisiä ratkaisuja eräisiin yksittäisiin tiedonlouhintaprosessin osaongelmiin. Kehykset ja sovellukset toteuttavat ja havainnollistavat useita ehdotetun prosessimallin merkittävimpiä ominaisuuksia
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Ramanaiah, Harikishan Veluru. "Relation between Process Capability Indices and Geometric Errors of Machine Tool." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215977.
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CHANDRA, SHANTANU. "CONCURRENT LINEAR OPTIMIZATION MODEL FOR DESIGN AND MANUFACTURING TOLERANCES WITH PROCESS AND MACHINE SELECTION INCORPORATING SCRAP RATES AND MACHINE BREAKDOWN." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1029345023.
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Dunn, Zelda. "Improved feed utilisation in cage aquaculture by use of machine vision." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/2824.
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Thesis (MScEng (Process Engineering))--Stellenbosch University, 2008.With the harvesting of fish and other aquatic organisms from natural waters having reached its upper limit, aquaculture is vital in providing for the ever increasing demand for fishery products (Boyd, 1999). Not surprisingly, aquaculture has seen considerable growth over the last decade or more. With the rising importance of aquaculture, there is an increased emphasis on cost and reducing of waste for environmental reasons. Therefore, attempts to automate or increase efficiency of feeding are constantly being explored. On an aquaculture unit approximately 60% of all costs are for feed; therefore high quality feeding management is essential for all fish farmers. The rainbow trout farm at Jonkershoek Aquaculture Research farm near Stellenbosch currently have a feeding management system which makes use of traditional hand feeding. Handfeeding is not considered optimal, as the feed intake or pellet loss is not closely monitored resulting in higher operating costs. Automation of aquaculture systems will allow the industry to produce closer to markets, improve environmental control, reduce catastrophic losses, minimize environmental regulation by reducing effluents, reduce production costs and improve product quality. The history of automated control in aquaculture has been brief; most of the systems have been custom-designed, personal computer systems. A very popular approach for an automated feeding system is to monitor waste pellets beneath the feeding zone of the fish, with a feedback loop that can switch off the feeder if this waste exceeds a predetermined threshold. Other approaches use hydroacoustics to monitor waste pellets or demand feeders have also been implemented. These approaches however are not considered optimal as automatic feeders do not necessarily ensure optimal feed intake. Social dominance using demand feeders does not allow even feeding distribution among all sizes of fish. In this project it was investigated whether an automated feeding system can be developed based on fish feeding behaviour. After facing problems with poor visibility at the Jonkershoek Aquaculture farm near Stellenbosch, video data were acquired from the Two Oceans Aquarium in Cape Town. Since it was a feasibility study, the focus was rather to investigate whether a predictive model could be generated for fish feeding behaviour in a more ideal environment which can form a foundation for further research. The well-established multivariate methods of principal components
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Hoffman, David William. "Bursting strength control on a linerboard machine." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63326.
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Han, Jae-Hoon. "Formation of part and machine cells with consideration of alternative process plans." Ohio : Ohio University, 1998. http://www.ohiolink.edu/etd/view.cgi?ohiou1176831219.
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Steyn, Marisa. "Attributes and multi-criteria decision analysis in machine selection for process chains." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53308.
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Thesis (MEng)--University of Stellenbosch, 2003.ENGLISH ABSTRACT: The purpose of this project is to find a means to evaluate a number of machines to optimise a process chain. Firstly seven machine types were identified to be included in the study. These machine types include: broach machines, EDM machines, GNG lathes, engine lathes, drilling machines, milling machines and grinders. The information requirements for these machines in terms of attributes for three areas were identified. Functionality, economical and reliability and availability attributes were identified. These attributes were subsequently incorporated into a MS-Access database to provide a database of machine information. Several methods for comparing machines were studied and the decision then fell on one existing method to be used for machine evaluation. A new method was developed to use for evaluating machines. The existing method is the Analytic Hierarchy Process, whereas the new method developed, is called the Quotient Exponential Method. These methods were implemented in the MS-Access database to enable the user to evaluate machines by means of both methods. The results indicate that these methods provide the correct answers according to test values used. It should be noted that the decision methods should, however, only serve as an aid towards an answer and do not necessarily provide the final answer. The AHP process is very time-consuming for this project because of the large number of criteria evaluated.
AFRIKAANSE OPSOMMING: Die doel van hierdie projek is om "n manier te vind om masjiene te evalueer om sodoende "n proses-ketting te optimeer. Eerstens is besluit op die soorte masjiene wat ingesluit gaan word in die projek. Sewe soorte masjiene is gekies en sluit in: RNB draaibanke, masjiendraaibanke, boormasjiene, skuurders, elektriese ontladings masjiene, veelvuldige punt snymasjiene en rubeitelmasj iene. Die inligting-vereistes van die sewe masjiene, in terme van hul attribute vir drie areas, is vervolgens geïdentifiseer. Hierdie drie areas is funksionaliteit, koste, asook beskikbaarheid en betroubaarheid. Hierdie attribute word in "n MS-Access databasis gebruik om "n databasis van masjien-inligting te skep. Verskeie metodes vir die vergelyking en evaluasie van masjiene is bestudeer en daar is op een bestaande metode besluit vir die evaluering van "n aantal masjiene. Daarbenewens is ook "n nuwe metode ontwikkel vir die evaluering van masjiene. Die bestaande metode is die Analitiese Hiërargiese Proses, terwyl die nuwe metode die Kwosiënt Eksponensiële Metode genoem word. Altwee hierdie metodes is in MS-Access geïmplemeteer om die gebruiker in staat te stelom masjiene met albei metodes te vergelyk. Die resultate verkry toon aan dat die korrekte resultaat verkry word volgens die toetsdata wat ingevoer is ten opsigte van die twee metodes. Dit moet in gedagte gehou word dat hierdie metodes egter slegs as "n hulpmiddel tot besluitneming gebruik behoort te word en nie noodwendig die finale antwoord lewer nie. AHP is baie tydsaam gevind, aangesien die masjiene in die projek baie attribute bevat het.
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Lopes, Luís Miguel Barros. "On the design and implementation of a virtual machine for process calculi." Tese, Universidade do Porto. Reitoria, 1999. http://hdl.handle.net/10216/10035.
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Peterson, Kelly(Kelly Nicole). "Personalized Gaussian process-based machine learning models for forecasting Alzheimer's Disease progression." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121678.
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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 81-90).
In this thesis, I address the problem of predicting behavioral and cognitive metrics from highly heterogeneous datasets (e.g. genetic, clinical/patient history, neuropsychological, biohumoral, molecular) with missing or incomplete data, using Personalized Machine Learning (PML) [71, 72]. In specific, my thesis work focuses on exploring the application of personalized machine learning techniques to the problem of predicting behavioral and cognitive metrics given a pre-organized dataset containing multimodal subject data collected from the longitudinal Alzheimer's Disease Neuroimaging Initiative (ADNI) study. Thus, this thesis explores the impact of PML in the context of predicting the progression of Alzheimer's disease (AD) by predicting various cognitive, clinical, and behavioral metrics known to be indicative of AD diagnosis. To do this, we employ Gaussian Process (GP) Regression as a modeling framework. Using this framework, we design and implement two novel methods for personalized prediction of key cognitive metrics associated with the AD progression (e.g., ADAS-Cog13). Our experimental evaluations show that the proposed personalized model yields significant gains in performance over non-personalized ("one size fits all") approaches applied to the target estimation tasks using the ADNI database. The techniques proposed have the potential to advance and revolutionize disease treatment and clinical research in AD and other health-related domains. We also provide an extensive overview of methods that deal with missing data in ADNI dataset, being one of the main challenges when working with real-world data of AD.
by Kelly Peterson.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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Hassler, Curt C. "A Markov process methodology for modeling machine interactions in timber harvesting systems." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/54393.
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Recent advancements in timber harvesting systems analysis have been almost exclusively simulation based. A similar degree of effort in developing analytic models has been conspicuously absent.
That part of timber harvesting analysis where simulation plays its most vital role is the study of machine interactions. The importance of machine interactions lies in determining the proportions of delay, idle and productive time for the interacting machines. This in turn, is important for balancing productivity so that no single component of the interaction is accumulating excessive amounts of delay or idle time.
The objective of this study was to determine the feasibility of applying Markov process theory to the analysis of timber harvesting systems and components. Through modeling the interaction between a fixed location slasher and a grapple skidder, it is shown how a Markov model can be used to obtain proportions of delay, idle and productive time. Unlike the statistical solutions derived from simulation models, the Markov model improves upon this by providing an analytic solution. The Markov model also avoids the problems of correlated output data from simulations by explicitly recognizing that any possible future state is dependent only on the current state of the system and is conditionally independent of the past history of the system.
The methodology for building a Markov model requires dealing with only two probability distributions, the Erlang and mixed Erlang, for modeling time based activities (such as cycle times) of the interacting machines. These probability distributions in turn, provide the necessary data for developing a system of algebraic equations for solving the Markov process model.
While this is the first step in applying stochastic process theory to timber harvesting analysis, the results of this study indicate that the technique has considerable potential for application in timber harvesting system modeling.Ph. D.
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Cheng, Chao-En, and 鄭兆恩. "Time-Based Machine/Process Grouping." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/13307452017709477197.
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碩士國立清華大學
工業工程與工程管理學系
96
The quality of manufacturing design has foundamental impacts on the production performance. In designing manufacturing cells, people often apply Group Technology to group the parts into the different machine families and/or parts families based on product or process features. This often relies on individual’s experience and qualitative logical analysis. The results can be subjective and arbitrary. However, major impacts by machine/process grouping are often on the overall cycle time and throughput due to set-up/change-over losses. This research proposed a time-based machine/process grouping method based on similarity concept and set-up/change-over times. A Dendrogram is used to group the processes and machines. An Excel-based grouping program is established to automate the objective quantitative process ready for engineers to use. Using data from a real semiconductor fabrication plant, simulation models were used to test the performance of the proposed grouping technique. First-in-First-out and Critical Ratio dispatching rules were experimented. The results show that the proposed grouping technique has far better performance than the existing grouping and two other comparative methods in throughput, average cycle time, average WIP (Work In Process), delivery rate and move.
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Chang, Chien-Fei, and 張建斐. "STUDY OF MACHINE TOOL DESIGN PROCESS." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/92909792388581565667.
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碩士朝陽大學
工業工程與管理研究所
86
The Purpose of this study is to develop a hierachical framework for modeling machine tool design process. Because the design is a highly knowledge-based work, featured by its un-repetitiveness and that of no standardization, building a framework or modeling a design process is one of herculean tasks. The case taken here focuses on the complicated process of designing a machining center. The studying scope is limited at preliminary design stage. This is to develop a system model for machine tool design process, which can be provided to the industry as a planning reference model for their design process. The core is how to build up a model, a framework of hierarchy, drill down the vast design process by a top-down approach, disaggregate the framework by levels-integration, function and mechanism, sub-system, component and parts, features and specification setting-five design levels all told. The framework provide IDEF0 model users not only with the principles and definition of the hierarchy but also a logic for the decomposition of a design process. This writing is to illuminate what is the hierarchy of machine tool design process, how to integrate IDEF0 model with design activities and design factors, and how to build a system model for design process. The content of the study has been tried out and verified at KAFO Machinery Corporation, in the project of vertical machine center. Keywords：Precision machine design, IDEF0 models, system modeling.
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Chang, Guang Rong, and 張光榮. "Process Control of Injection Molding Machine." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/47108995807662636986.
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Ruei-chinHuang and 黃瑞欽. "Cold Forging Process - Using Machine Learning Method." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/724xjt.
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WANG, LI-WEI, and 王力偉. "Process Control of Intelligent Coffee Coaster Machine." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/14860195895179681411.
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碩士中華科技大學
電子工程研究所碩士班
104
For a success coffee roasting, one has to deal with a complex process which controls pre-heat temperature, bean loading temperature, roasting procedure profile, drying and steaming steps, venting adjustment, temperature regulation (as of gas flow rate or electrical power control), first and second crack control, coffee unloading, and cooling, and all of those steps are often achieved by utilizing two knobs to control the heating and venting of a roaster. In order to retain the delicate flavor and aroma of the coffee, very often, having to rely on experienced experts; and as a consequence, it may be a difficult task to make a good coffee for a beginner. The purpose of this paper is to construct a fully automatic control coffee roasting device to replace the conventional counter one which may heavily rely on the manual adjustment, so that one can enjoy gourmet coffee at home in a relative easy fashion by just pressing a control bottom. For that reason, an intelligent coffee bean roasting system and method with expert’s experiences have been proposed accordingly. In this paper, two control modes including keypad panel and touch panel are designed as human interface respectively. By using rs232 serial communication or Bluetooth wireless transmission to receive coffee beans roasting parameters and the temperature profile of the roasting process is displayed on the PC screen or touch panel. Due to roasting profile or curve is collection of temperature variation or fluctuation during the entire roasting process, and for different coffee varieties or regions of production, different roasting profiles have been investigated and defined in several different roasting modes. Also, one can selectively adjust the profile at particular interest. The proposed system uses chip (PIC18F452) as a micro controller, implementing temperature profile from the top notched expert and embedded as a basis with unique characteristics, and that includes roasting procedures as follow: (1) roasting profile optimization, which is aimed for some well-known coffee beans up to eight varieties, such as Blue Mountain, Mandheling, and Mocha, etc.; (2) customized parameters, which allows one to input and define individually up to ten data sets, the data sets can be save to E2PROM of microcontroller or WEINTEK’s touch panel(MT6071iE); (3) complete manually operation, which allows one to explore freely at one’s own interest by manipulating two knobs to control the power and air dissipation; and (4) roasting process data recording, which allow one to print, log, and on-line editing roasting parameters, via USB linkage, back and forth between a computer and the controller.
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LEE, YUEH-FENG, and 李岳峰. "Development of Hybrid Function Imprinting Machine and Process." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/vw58ux.
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碩士國立臺灣科技大學
機械工程系
99
Nanoimprint lithography (NIL) is a high throughput and high-resolution patterning method. This study is devoted to develop hybrid function imprinting machine and process. The functions includes hot embossing, ultraviolet-curing (UV-curing), and gas-assisted imprint. In addition, we intend to develop an effective fabrication process for large area microstructures. In hot embossing experiments, we applied a synchronous method with a special designed packing device to achieve a fast nano/micro structure imprinting process with high transfer rate. In gas-assisted imprinting experiments, nano anti-reflection structures were successfully imprinted on bare glasses with hydrogen silsesquioxane (HSQ). The reflective ratio of the structures is below 5% after baking process. Nano and micro optical structures were successfully fabricated in this work with the developed hybrid function imprinting machine. It shows the potential of fabricating large area optical applications with the developed machine and process, such as reflective structures and micro lens array.
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Chen, Chun-Han, and 陳軍翰. "Prediction of Bosch DRIE Process Using Machine Learning." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/56q5gw.
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Liu, Yu-Huan, and 劉育桓. "Design of Process machine tool for Composite Materials." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/qjm74g.
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碩士國立勤益科技大學
機械工程系
106
This thesis mainly is a design to apply machine tool of process for composite materials, this model is a gantry type light 5-axis structure. Work area takes a double table, and accompany with by auto exchange from the programmable control, accomplish quick exchange the workpiece, it can also enhance utilization. In addition, spindle system takes a 2-axis head, accompany with by multi-angle process applications. The forming of composite materials parts is according to require model, Most of thin parts and the surface. The study problems of clamping parts, drilling and milling for the composite materials parts. Common problems include the deformation of parts by clamping, caused burr by drilling, milling is difficult to cut fibers then caused fiber break or delamination and raise a dust. Through this thesis is a design of the process machine tool for composite materials to solve the problems in the milling. The design of the machine tool structure use the steel welding accomplish lightweight, different from casting of metal machine tool, and accompany reduce weight by 45%. The drivetrain system is driven by gear and rack, it replace ballscrew drive, and accompany high feed speed of 40m/min, cutting feed speed of 20m/min. The spindle speed takes a 24000rpm make easy cut the fiber and reduce burr, and accompany enhance quality of parts processing. With the design concept bases on the study, the performance of the machine tool improves significantly. Last but not least, the machine tool satisfies the requirements of CFRP machining in the industry and successfully raises the interests of the buyers in the well design machine tool.