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Journal articles on the topic 'Process machine'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Agrisa, Herick Henci. "An Overview of process CNC Machining." Journal of Mechanical Science and Engineering 6, no. 2 (July 8, 2020): 029–33. http://dx.doi.org/10.36706/jmse.v6i2.32.

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This paper discusses the pre and process of running a computer numerical control machine (CNC) using computer-aided design (CAD) software commonly used to design products to be produced and computer-aided manufacture (CAM) software used to control machines during the manufacturing process. Some types of CNC machines in general, namely CNC lathe machine and CNC milling machine. The history of the development of the CNC Machine was begun in 1952 by John Pearseon of the Massachusetts Institute of Technology on behalf of the United States Air Force, which aims to make complicated special workpieces. In addition, this paper also discusses the basic numerical code types used in CNC machines.

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2

Mekid, Samir. "Micro Machining Issues: Design and Machining Process." Advanced Materials Research 739 (August 2013): 238–44. http://dx.doi.org/10.4028/www.scientific.net/amr.739.238.

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Numerical controlled high speed micromachining on desktop machines is known to induce inherently new types of errors and machining issues at micro scale. The sources of these errors are either not known, or difficult to be modeled. Some of these errors are due to the downscaling effect of machine elements to a small micro-machine. This paper attempts to explore key issues proper to micro machines that are different from standard scale NC machine tools. Experimental observations are shown to support the discussion. The knowledge gained from these phenomena is used to nurture the design methodologies of micro-scale machines, to plan a suitable tool path and hence to improve the micromachining quality. This will also ascertain the statement that direct downscaling of current machine tools is worthless.

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MATSUBARA, Atsushi, Motoyuki SUGIHARA, Ahmed A. D. SARHAN, Hidenori SARAIE, Soichi IBARAKI, and Yoshiaki KAKINO. "Research on Spindle and Machining Process Monitoring for Intelligent Machine Tools(Advanced machine tool)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 469–74. http://dx.doi.org/10.1299/jsmelem.2005.2.469.

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4

Toska, Ferit. "Strict process machine complexity." Archive for Mathematical Logic 53, no. 5-6 (March 20, 2014): 525–38. http://dx.doi.org/10.1007/s00153-014-0378-7.

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MORITA, Shin-ya, Takuya HOSOBATA, Masahiro TAKEDA, Hao DUAN, Ryoshu FURUTANI, and Yutaka YAMAGATA. "1514 Development of on-machine measurement system by in-process position monitoring of ultraprecision machine tool." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2015.8 (2015): _1514–1_—_1514–4_. http://dx.doi.org/10.1299/jsmelem.2015.8._1514-1_.

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6

Gajera, Vijay M., and Chetan Swarrop. "Process Modeling and Simulation of Abrasive Jet Machine-A Review." Indian Journal of Applied Research 4, no. 6 (October 1, 2011): 1–3. http://dx.doi.org/10.15373/2249555x/june2014/186.

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7

Dr. K, Nagi Reddy. "PRIOR PREDICTION AND IMPEDIMENT OF CANCER USING MACHINE LEARNING PROCESS." International Journal of Psychosocial Rehabilitation 24, no. 04 (February 28, 2020): 278–89. http://dx.doi.org/10.37200/ijpr/v24i4/pr201008.

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8

Rahman, M., A. B. M. A. Asad, Takeshi Masaki, Y. S. Wong, and H. S. Lim. "A08 A MULTI-PROCESS MACHINE TOOL FOR HYBRID MICRO MACHINING." Proceedings of The Manufacturing & Machine Tool Conference 2008.7 (2008): 31–32. http://dx.doi.org/10.1299/jsmemmt.2008.7.31.

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9

Kuznetsova, Elena, Ludmila Tipner, and Alexey Ershov. "Restrictions of process machine retooling at machine-building enterprises." SHS Web of Conferences 35 (2017): 01081. http://dx.doi.org/10.1051/shsconf/20173501081.

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10

Scantamburlo, Teresa. "Machine learning in decisional process." ACM SIGCAS Computers and Society 45, no. 3 (January 5, 2016): 218–24. http://dx.doi.org/10.1145/2874239.2874270.

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11

Pfeiffer, Friedrich. "Mobility of machine-process systems." Nonlinear Dynamics 99, no. 1 (August 14, 2019): 777–92. http://dx.doi.org/10.1007/s11071-019-05174-4.

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12

Brumen, Boštjan, Aleš Černezel, and Leon Bošnjak. "Overview of Machine Learning Process Modelling." Entropy 23, no. 9 (August 28, 2021): 1123. http://dx.doi.org/10.3390/e23091123.

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Much research has been conducted in the area of machine learning algorithms; however, the question of a general description of an artificial learner’s (empirical) performance has mainly remained unanswered. A general, restrictions-free theory on its performance has not been developed yet. In this study, we investigate which function most appropriately describes learning curves produced by several machine learning algorithms, and how well these curves can predict the future performance of an algorithm. Decision trees, neural networks, Naïve Bayes, and Support Vector Machines were applied to 130 datasets from publicly available repositories. Three different functions (power, logarithmic, and exponential) were fit to the measured outputs. Using rigorous statistical methods and two measures for the goodness-of-fit, the power law model proved to be the most appropriate model for describing the learning curve produced by the algorithms in terms of goodness-of-fit and prediction capabilities. The presented study, first of its kind in scale and rigour, provides results (and methods) that can be used to assess the performance of novel or existing artificial learners and forecast their ‘capacity to learn’ based on the amount of available or desired data.

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13

Ruiz-Torres, Alex J., Giuseppe Paletta, and Eduardo Perez-Roman. "Maximizing the Percentage of On-Time Jobs with Sequence Dependent Deteriorating Process Times." International Journal of Operations Research and Information Systems 6, no. 3 (July 2015): 1–18. http://dx.doi.org/10.4018/ijoris.2015070101.

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The paper addresses the problem of maximizing the percentage of on-time jobs in a parallel machine environment with sequence dependent deterioration. The deterioration of each machine (and therefore of the job processing times) is a function of the sequence of jobs that have been processed by the machine. Two machine loading strategies are combined with a set of list scheduling algorithms to solve the identical and unrelated machine versions of the problem. The proposed solutions approaches are tested using a large set of problem instances that consider various levels of the number of jobs and machines, the due date tightness, and the deterioration effect. The results indicate that the approach based on loading considering all machines simultaneously and assigns jobs by due date is the most effective.

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14

Zhang, Xiao Yan, Di Wang, and Xiao Jing Li. "Comparison Study for Finished Accuracy of WEDM Process." Advanced Materials Research 479-481 (February 2012): 476–80. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.476.

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WEDM wire-cutting processing is a special machining method using pulse discharge happenns between electrodes and workpieces. This paper have analyzed and compared the two working modes of high-speed wire-EDM machine and low-speed wire-EDM machine. For the holes or slots distributed in mould device should be machined by WEDM method and could meet technical regulation. If all the holes or slots with higher accuracy requirement are machined in one process, the form accuracy and positional accuracy mighty be achieved. The paper compared two machining methods for the special holes with experiment. The result indicates that the improved process can greatly improve the machining accuracy and this method can be used in WEDM-HS and WEDM-LS process.

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15

Feng, Jin Chun, Song He Huang, and Lei Li. "Improvement and Implementation of Numerically-Controlled Process for Edger Mill Stand." Applied Mechanics and Materials 84-85 (August 2011): 358–62. http://dx.doi.org/10.4028/www.scientific.net/amm.84-85.358.

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The edger mill stand belonged to the oversized integrated-casted stand-type heavy parts, if it was machined on the planer milling and boring machine, above 90% of the milling and boring process could be completed by only clamping for two times, and more accurate values could be obtained. Improved and changed the numerically-controlled process of this part in the machining process, and all working procedures of the edger mill stand were machined on the numerically-controlled floor-type boring machine with the diameter of 260, thereby accumulating the experience of machining the stand parts with complex cavity sizes and further expanding the scope of numerically-controlled floor boring machine process. The improvement and implementation of NC process on this workrpiece is of important meaning of reference for the kind of parts.

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16

Smolyak, Sergey. "Valuation of machinery and equipment subject to the Wiener degradation process." Economics and the Mathematical Methods 57, no. 3 (2021): 97. http://dx.doi.org/10.31857/s042473880016422-3.

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We propose a model describing the decrease in the market value of machines (depreciation) with age. Usually it is characterized by the percent good factor, i.e. the ratio of machine’s value to the value of similar new machinery item. Often, appraisers know about a used machinery item only by its age, but not its performance. Therefore, for the valuation of the machinery item of a known age, they have to use the mean (for machines of this age) of percent good factor. In the proposed model, the state of the machine is characterized by the intensity of the benefits it brings. In this case, the benefits from using the machine in a certain period are defined as the market value of the work performed by it minus operating costs. We describe the change in the intensity of benefits over time by the Wiener process with negative drift. This allows us to take into account the tendency for the performance of machine to deteriorate during operation. The market value of a machine is defined as the maximum mathematical expectation of the sum of discounted benefits from its use. It is shown that it corresponds to the moment the machine reaches a certain boundary state. The parameters of the Wiener process (drift and volatility) are expressed through the known characteristics of the machine's durability, namely the average value and the coefficient of variation of the service life. The dependences of the mean percent good factor of machines on the relative age (the ratio of age to the average service life) are found. It turned out that these dependencies are almost independent of the discount rate and average service life.

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17

Altaf, S., M. S. Mehmood, and M. W. Soomro. "Advancement of Fault Diagnosis and Detection Process in Industrial Machine Environment." Journal of Engineering Sciences 6, no. 2 (2019): d1—d8. http://dx.doi.org/10.21272/jes.2019.6(2).d1.

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Machine fault diagnosis is a very important topic in industrial systems and deserves further consideration in view of the growing complexity and performance requirements of modern machinery. Currently, manufacturing companies and researchers are making a great attempt to implement efficient fault diagnosis tools. The signal processing is a key step for the machine condition monitoring in complex industrial rotating electrical machines. A number of signal processing techniques have been reported from last two decades conventionally and effectively applied on different rotating machines. Induction motor is the one of widely used in various industrial applications due to small size, low cost and operation with existing power supply. Faults and failure of the induction machine in industry can be the cause of loss of throughput and significant financial losses. As compared with the other faults with the broken rotor bar, it has significant importance because of severity which leads to a serious breakdown of motor. Detection of rotor failure has become significant fault but difficult task in machine fault diagnosis. The aim of this paper is indented to summarizes the fault diagnosis techniques with the purpose of the broken rotor bar fault detection. Keywords: machine fault diagnosis, signal processing technique, induction motor, condition monitoring.

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18

Scheideler, Eva. "Machine and process for operating a machine to monitor vibrations." Journal of the Acoustical Society of America 118, no. 3 (2005): 1254. http://dx.doi.org/10.1121/1.2097060.

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19

Zhang, Li, Lianjie Ma, Dongxu Wu, and Yunguang Zhou. "A novel integrated process–machine approach for designing customized milling machines." International Journal of Advanced Manufacturing Technology 104, no. 1-4 (May 29, 2019): 245–60. http://dx.doi.org/10.1007/s00170-019-03742-x.

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20

Burger Pagnussat, Millana, Eduardo Silva Lopes, and Rachael D. Seidler. "Behavioural profile effect of forestry machine operators in the learning process." Journal of Forest Science 65, No. 4 (April 26, 2019): 144–49. http://dx.doi.org/10.17221/27/2019-jfs.

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A lack of efficient operators for wood harvesting machines poses a great challenge. Here, our objective was to evaluate the effect of the behavioural profile on the productive efficiency of forwarder operators. The study was carried out in a Brazilian company, with a sample of 10 operators. A profile evaluation characterized the reference profile, comparing with the profile of the operators studied. The operators were evaluated through their productive efficiency, for 11 months to track learning curves. The results showed that operators must be attentive to details, deadlines, rules, be patient and a moderate initiative taker. The operators were classified into two behavioural profiles, class 1 appropriate to the position and class 2 with some inappropriate points. The productive efficiency of the operators increased during the training, with the profile operators 1 and 2 reaching the targets set by the company in the fifth and seventh month, respectively. The difference in the average productive efficiency between the operators of profile 1 and 2 during the training process was 19%.

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21

Morimoto, Yoshitaka, Hiroyuki Yamamoto, Tadashi Yamamoto, Tomonori Arai, and Masahiko Kakumoto. "D029 Study on process analysis method for NC multitasking machine tools." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2013.7 (2013): 582–85. http://dx.doi.org/10.1299/jsmelem.2013.7.582.

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22

Coker, S. A., S. J. Oh, and Y. C. Shin. "In-Process Monitoring of Surface Roughness Utilizing Ultrasound." Journal of Manufacturing Science and Engineering 120, no. 1 (February 1, 1998): 197–200. http://dx.doi.org/10.1115/1.2830101.

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This paper presents the capability of an ultrasonic system for the in-process surface roughness measurement of machined parts. The system uses a focused ultrasonic transducer to measure the reflected amplitude variation of an ultrasonic beam incident on the surface. The robustness of the system is examined by applying the technique to different machined surfaces and investigating the effect of various coupling fluids. Experimental results show that the technique is applicable to the surfaces produced by most production processes. In addition, the capability of in-process measurements is demonstrated by adapting the system to a CNC machining center. Results show in-process measurements correlate well with off-line profilometer data. Tolerance to machine vibration is also shown by comparing the measurement data with the machine spindle on and off.

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23

Markovic, Nenad, Jeroslav Zivanic, Zoran Lazarevic, and Bratislav Iricanin. "The mathematical model for analysis and evaluation of the transient process of the three-phase asynchronous machine performance." Serbian Journal of Electrical Engineering 15, no. 3 (2018): 319–37. http://dx.doi.org/10.2298/sjee1803319m.

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This paper describes an adopted method which could be used in transient process modelling of three-phase asynchronous machines on the computer. Converter asynchronous electric machine feeding requires a detailed research of the transient process influence and the dynamic states of energy exchange between the electrical circuit feeding and the machine itself. A mathematical model has been formulated in order to solve the transient process of the three-phase asynchronous electric machine referring to the two asynchronous machines and containing two matrix models defined by Park?s d - q components. In the system of symmetrical components the state and the operation of the first machine was defined based on relations and operation conditions of a direct sequence system and of other machines based on relations and operation conditions of an inverse sequence system. The new method has been derived from the existing psbpwm MATLAB package. The new model simulates the state and operation of a single machine with identical parameters through the state and operation of the two machines with identical parameters: the first in a direct sequence system and the others in an inverse sequence system. Operation analysis of the three-phase induction machine is limited to a transient process occurring in the right angled shape of voltage feeding. The new presented model can, with certain limitations, be applied not only to a three-phase asynchronous machine model but to other alternating current machines which have a stator and a rotor. The experiment has been performed following an example of asymmetrical feeding followed by inverse component phenomena of electrical and mechanical values in the machine.

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24

Hambaba, Ahmed, and Evan McMasters. "Process machine implementation using distributed objects." Computers & Electrical Engineering 28, no. 6 (November 2002): 481–500. http://dx.doi.org/10.1016/s0045-7906(00)00067-7.

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25

NIITANI, Haruhiko, Yoshihito FUJITA, Hidefumi OMOKAWA, Takenori SUZUKI, and Kiyotaka NAKAGAWA. "Development of laser microfabrication process machine." Proceedings of Mechanical Engineering Congress, Japan 2017 (2017): K13100. http://dx.doi.org/10.1299/jsmemecj.2017.k13100.

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26

Grünberger, Thomas. "Machine Learning for Process Monitoring Systems." PhotonicsViews 17, no. 3 (May 28, 2020): 56–59. http://dx.doi.org/10.1002/phvs.202000026.

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27

Shamoto, Eiji. "Special Issue on Process Machine Interactions." International Journal of Automation Technology 7, no. 4 (July 5, 2013): 377. http://dx.doi.org/10.20965/ijat.2013.p0377.

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Machining, such as cutting, grinding and polishing, is involved in the production of many industrial parts as one of manufacturing’s most important processes. Some of the parts are made directly by machining, and many other parts are mass-produced indirectly by machining through dies and molds. The accuracy of these components thus depends strongly on the machining process. Machining is not an easy process, of course, since it generates large force and heat. Although machine tools are controlled to move precisely, the force and heat cause practical problems such as vibration, the displacement and deformation to mechanical structures, failure and wear in tools, errors of machining, measurement and control, etc. In many cases, these problems adversely affect or even change the process, which may cause further problems. It is difficult but necessary to understand these mutual interactions to solve the problems and improve the machining process itself. This special issue contains interesting papers that help answer important questions in machining, including the control, monitoring, simulation, and development of new fabrication processes. These papers promise to help improve machining accuracy and efficiency and to realize fully automated machining in the future. We thank the authors for their insightful contributions and the reviewers for their invaluable advice that have made this special issue both fascinating and worthwhile.

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28

Cynkin, Christopher. "Machine translation and the documentation process." Aslib Proceedings 44, no. 3 (March 1992): 121–25. http://dx.doi.org/10.1108/eb051259.

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29

Simnofske, Marc, Annika Raatz, and Jürgen Hesselbach. "Design process for adaptronic machine tools." Production Engineering 3, no. 4-5 (October 13, 2009): 461–68. http://dx.doi.org/10.1007/s11740-009-0178-9.

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30

Pfeiffer, Friedrich. "Motion spaces of machine–process combinations." Archive of Applied Mechanics 89, no. 10 (June 11, 2019): 2115–32. http://dx.doi.org/10.1007/s00419-019-01564-7.

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31

Syarief, Akhmad, and Akhmad Maulana Gumai. "PROSES MANUFAKTUR MESIN GERGAJI KAYU UNTUK PENGRAJIN PALET KAYU." Scientific Journal of Mechanical Engineering Kinematika 2, no. 1 (June 9, 2017): 1–10. http://dx.doi.org/10.20527/sjmekinematika.v2i1.32.

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Wood saws are hand machines that small industries need. Almost all work processes through a saw machine with good results. Circular saws are not only used in timber industry, but also in the carbuery industry, by plumbing, construction experts, loggers or gardenists. In any hobby there are wearing it. For manufacturing process of making wood sawing machine in allotment for wooden pallet craftsman. The formulation of the problem in making this saw machine is how to manufacture wood saw process for wooden pallet craftsman and howmuch budget cost in manufacturing process of saw machine for wooden pallet craftsman. The components of the saw machine are frame, table mat, bearing, shaft, pulley transmission and V belt, while the tools and machinery used in the manufacturing process are electric welding tools, electric grinding wheels, grinding wheels, lathes, and frais machines.

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32

Behrens, Bernd Arno, Richard Krimm, and Valerian Salfeld. "Process-Machine Interaction in Sheet-Bulk Metal Forming." Key Engineering Materials 504-506 (February 2012): 999–1004. http://dx.doi.org/10.4028/www.scientific.net/kem.504-506.999.

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The present contribution deals with the process-machine interaction and its impacts on the workpiece quality by forming parts with sheet-bulk metal forming. It focuses on the manufacturing of complex asymmetrical parts with functional elements. The functional applications of these elements such as fixation, motion and load transmission require compliance with high geometrical accuracy as well as high precision regarding the final mechanical properties of the part. The high process forces in horizontal as well as in vertical direction to form these elements cause displacements of the tool and press components, which lead to workpiece defects retroactively. Although the interaction between the forming machine and process affects the quality of the finished part significantly, the machine influence is usually ignored in the analysis of the forming process with the Finite-Element-Method. The challenges mentioned are demonstrated by forming of a complex asymmetrical part with gear teeths and carrier elements. As typical for sheet-bulk metal forming, the dimensions of the finished gear teeths (4mm) are much higher as the initial thickness of the sheet metal (3mm). The displacements of the press components during the process have been determined by means of optical measuring systems. The results are presented in all three spatial directions. The conclusions about the acting process forces in horizontal and vertical direction have been made by analyzing the press displacements by means of a new developed three-axial load device. Finally, this paper introduces a suitable approach to represent the machine characteristics in order to improve the computational accuracy of sheet-bulk metal forming simulations and gives an overview about the possibilities to improve the process stability by improving the mechanical components of forming machines.

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Hourmand, M., and M. Y. Noordin. "Micro-Electrode Fabrication Process Using EDM." Advanced Materials Research 845 (December 2013): 980–84. http://dx.doi.org/10.4028/www.scientific.net/amr.845.980.

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Micro-machining is a fundamental process for manufacturing parts and products with dimensions of between 1 to 999 μm. Micro-Electro Discharge Machining (micro-EDM) has been used for producing of parts, molds, dies, cavities and complex three dimensional shape regardless of hardness and strength. Micro-electrodes are required for these purposes and usually micro EDM machines are used for fabricating them. Moving block electro discharge grinding (Moving BEDG) is one of the processes that can be used to fabricate micro-electrode. In this study a conventional EDM machine is used for fabricating the micro-electrode. Based on the characteristics of this machine some changes need to be applied to the moving BEDG for micro-electrode fabrication. Modification made to the moving BEDG include changing the direction of movement and control gap, use of roughing, semi finishing and finishing electrodes in one electrode. Consequently set up and machining time was decreased due to the use of roughing, semi finishing and finishing parameters. Finally, high aspect ratio micro electrode with diameter of 160.8μm was fabricated. As this process is simple and does not require high investment for special equipment; it can be used even by an ordinary workshop equipped with a conventional EDM machine.

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34

Deja, Mariusz, and Mieczyslaw Siemiatkowski. "Generative Process Planning with Reasoning Based on Geometrical Product Specification." Key Engineering Materials 597 (December 2013): 159–64. http://dx.doi.org/10.4028/www.scientific.net/kem.597.159.

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The focus of this paper is on CAPP for parts manufacture in systems of definite process capabilities, involving the use of multi-axis machining centers for parts shaping and grinding machines for finishing. It presents in particular a decision making scheme for setup determination as a part of generative process planning. The planning procedure consists of two stages. The first stage is associated with generic setup determination applying tool accessibility analysis to machined features and reasoning based on geometrical product specification (GPS). The second stage involves machine specific setup planning considering the availability and capability of machines on a shop floor through setup merging. The impact of dimensional and geometric tolerance as well as the surface roughness of relatively complex mechanical element on the generated process plan with several setups was presented. The relevant reasoning mechanism within a decision making scheme on generated process alternatives is shown based on a numeric case.

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35

Kammerer, Klaus, Rüdiger Pryss, Burkhard Hoppenstedt, Kevin Sommer, and Manfred Reichert. "Process-Driven and Flow-Based Processing of Industrial Sensor Data." Sensors 20, no. 18 (September 14, 2020): 5245. http://dx.doi.org/10.3390/s20185245.

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For machine manufacturing companies, besides the production of high quality and reliable machines, requirements have emerged to maintain machine-related aspects through digital services. The development of such services in the field of the Industrial Internet of Things (IIoT) is dealing with solutions such as effective condition monitoring and predictive maintenance. However, appropriate data sources are needed on which digital services can be technically based. As many powerful and cheap sensors have been introduced over the last years, their integration into complex machines is promising for developing digital services for various scenarios. It is apparent that for components handling recorded data of these sensors they must usually deal with large amounts of data. In particular, the labeling of raw sensor data must be furthered by a technical solution. To deal with these data handling challenges in a generic way, a sensor processing pipeline (SPP) was developed, which provides effective methods to capture, process, store, and visualize raw sensor data based on a processing chain. Based on the example of a machine manufacturing company, the SPP approach is presented in this work. For the company involved, the approach has revealed promising results.

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36

HE, YONG, SHUGUANG HAN, and YIWEI JIANG. "ONLINE ALGORITHMS FOR SCHEDULING WITH MACHINE ACTIVATION COST." Asia-Pacific Journal of Operational Research 24, no. 02 (April 2007): 263–77. http://dx.doi.org/10.1142/s0217595907001231.

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In this paper, we consider a variant of the classical parallel machine scheduling problem. For this problem, we are given m potential identical machines to non-preemptively process a sequence of independent jobs. Machines need to be activated before starting to process, and each machine activated incurs a fixed machine activation cost. No machines are initially activated, and when a job is revealed the algorithm has the option to activate new machines. The objective is to minimize the sum of the makespan and activation cost of machines. We first present two optimal online algorithms with competitive ratios of 3/2 and 5/3 for m = 2, 3 cases, respectively. Then we present an online algorithm with a competitive ratio of at most 2 for general m ≥ 4, while the lower bound is 1.88.

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37

Zulaika, J. J., F. J. Campa, and L. N. Lopez de Lacalle. "An integrated process–machine approach for designing productive and lightweight milling machines." International Journal of Machine Tools and Manufacture 51, no. 7-8 (July 2011): 591–604. http://dx.doi.org/10.1016/j.ijmachtools.2011.04.003.

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38

Liu, Jin Fei, Ming Chen, and Xiang Long Qi. "Analysis and Simulation of One Worker with Multi-Machine Mode." Advanced Materials Research 889-890 (February 2014): 1227–30. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.1227.

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One operator with multi-machine operating mode is an important part of the analysis of operator-machine work, because it takes it into consideration that the utilization of both machines and operators. It is necessary to study its classification, application and analysis process, besides, a mathematical model is constructed to analyze the differences in efficiency for operators and machines, which are caused by the difference of machine assignment amount. Finally, The process simulation and verification is based on the platform of Plant simulation.

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Kumar Bhatia, Arvind, and Gursharan Singh. "A Review on Different Types of Live VM Migration Methods with Proposed Pre-Copy Approach." International Journal of Engineering & Technology 7, no. 4.12 (October 4, 2018): 6. http://dx.doi.org/10.14419/ijet.v7i4.12.20983.

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Cloud computing is being considered as the future architecture of IT world. Virtualization creates logical resources from physical resources which are allocated with flexibility to applications. Server virtualization is a technique for the division of the physical machine into many Virtual Machines; every Virtual Machine has the capacity of applications execution similar to physical machine. The capability of Virtual Machine migration i.e. dynamic movement of Virtual Machines between physical machines is achieved by virtualization. Migration techniques differ w.r.t order of state transfer. Pre-copy migration method transfers all pages of memory from source to destination while Virtual Machine is executing on source. Post-copy migration is transfer of memory. content after the transfer of process state. Specially, post-copy migration, first copied the process states to the destination machine. Total time of migration, Total pages transferred and Downtime are important parameters considered during live Virtual Machine migration. Many improved live pre copy Virtual Machine migration techniques tries to decrease all the three above mentioned parameters. Proposed approach also tries to minimize all the three performance parameters.

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Bin, Jiang, Zhang Minghui, Xu Tong, and Zhang Wei. "Process Design Method of High Speed and Stable Cutting Hardened Steel." Open Mechanical Engineering Journal 9, no. 1 (June 26, 2015): 428–36. http://dx.doi.org/10.2174/1874155x01509010428.

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In view of the unstable cutting problem in the process of high speed milling hardened steel. Conduct experiment of the stability of machine tool and high speed milling cutter. The machine tool spindle vibration spectrum and vibration acceleration signal under the condition of different centrifugal force were detected. Obtained the critical speed of security and stability cutting of milling cutter and machine tool spindle. Through the experiment of concave and convex surface of hardened steel high speed milling, obtained the vibration characteristic of machine tool spindle and the shape characteristic of machined surface of hardened steel concave and convex surface. Comparative analysis the experimental results of milling cutter free running and milling hardened steel under the same speed condition. Recognizing the significant effect of inherent vibration characteristics of machine tool to the stability of the hardened steel high speed milling. With the aim of achieving stable and efficient cutting of hardened steel, put forward process design method of high speed milling hardened steel. Using this process design method, obtained the process scheme of high efficient and stability cutting hardened steel die. Process validation results show, the stability of the high speed milling concave convex die of hardened steel improved over 33%.

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Chen, Wanqun, Yazhou Sun, Chenhui An, Hao Su, Kai Yang, and Qiang Zhang. "Modeling and simulation of the interaction of manufacturing process and machine tool structure in flycutting machining." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 15 (December 15, 2014): 2730–36. http://dx.doi.org/10.1177/0954406214563962.

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The process machine interactions in the flycutting machining are presented by integrating the state-space method and finite element method. The prediction of the cutting force fluctuations in the machining process caused by the compliance of machine tool structure is achieved. Furthermore, the relationship between the dynamic performance of the machine tool structure and the machining speed is discussed, which has great influence on the root mean square of waviness and flatness on the machined surface. The simulation results are validated by experiments.

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Ko, Po Sheng, and Cheng Chung Wu. "Manufacturing Process Planning to Evaluation on Failure Causes for Lithography Machine: Analytic Hierarchy Process." Advanced Materials Research 213 (February 2011): 450–53. http://dx.doi.org/10.4028/www.scientific.net/amr.213.450.

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This study conducted hierarchical analysis on the evaluation item of the stability index of the lithography machine, and established a set of evaluation mechanism for failure prediction, in order to provide references and indicators of troubleshooting for lithography machine. The results showed, when the lithography machine is out of order, the possible failure causes are mainly be found based on the past experiences. Moreover, engineers’ skills in maintenance of lithography machine should be also considered. It is clear that, technology-centered is the current trend in today's semiconductor technology processing. In the weight analysis of rating index for complexity in broken Wafer, the most important problem is the lithography machine error due to failure in its components. Good design and configuration of semiconductor lithography process in the early stage can enhance the rapid maintenance of lithography machine in case of malfunctioning effectively. For timely maintenance, maintaining the organization stringency needs to be improved. This study also found that, under the good configuration of maintenance system, adequate information is closely associated a good system. As for lithography process in semiconductor industry, the complexity of broken Wafer is first considered. Thus, the overall lithography process of semiconductor relies on engineers’ experience. More specifically, a quick error interpretation and repair are required in field maintenance. As in a competitive market of semiconductor processing with high-tech and high-cost, a timely maintenance in the lithography machine is urgent and requested.

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Denkena, Berend, Benjamin Bergmann, and Matthias Witt. "Feeling Machine for Process Monitoring of Turning Hybrid Solid Components." Metals 10, no. 7 (July 10, 2020): 930. http://dx.doi.org/10.3390/met10070930.

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The realization of the increasing automation of production systems requires the guarantee of process security as well as the resulting workpiece quality. For this purpose, monitoring systems are used, which monitor the machining based on machine control signals and external sensors. These systems are challenged by innovative design concepts such as hybrid components made of different materials, which lead to new disturbance variables in the process. Therefore, it is important to obtain as much process information as possible in order to achieve a robust and sensitive evaluation of the machining. Feeling machines with force sensing capabilities represent a promising approach to assist the monitoring. This paper provides, for the first time, an overview of the suitability of the feeling machine for process monitoring during turning operations. The process faults tool breakage, tool wear, and the variation of the material transition position of hybrid shafts that were researched and compared with a force dynamometer. For the investigation, longitudinal turning processes with shafts made of EN AW-6082 and 20MnCr5 were carried out. The results show the feeling machine is sensitive to all kinds of examined errors and can compete with a force dynamometer, especially for roughing operations.

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Engster, Frank. "Measure, machine, money." Capital & Class 44, no. 2 (February 17, 2020): 261–72. http://dx.doi.org/10.1177/0309816820904030.

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The aim of the text is to clarify why machines are economically productive only in capitalism and therefore in our society are capitalistic machines. They are capitalist not only because they increase the productive power of the capitalist valorisation, but this valorisation first of all is producing these machines, or at least it produces their productivity and hence ‘the machinic’ of machines. To understand this production of the machinic, we must understand them, as, for example, Heidegger, Simondon or Deleuze and Guattari have shown, from their context: from their non-technical essence, from their connection with other machines and from the social essence of the machinic. But in this context, first of all and in the last instance, we have to understand with Marx their entanglement with the capitalist valorisation. This can be shown for three different types of machines: the physical machine, the calculation machine and the social machine: money. What all three have in common and almost defines them as machines is that all three naturalise relations by quantifying them. The classical physical machine quantifies the relation of nature, the calculation machine quantifies information and meaning, and the money machine quantifies the relations of our society. I will concentrate on the physical and the money machine only. The technique to quantify is for both the same: measurement. This quantification and naturalisation by measurement is why both are – although or especially because they are opposed types of machines – interfaces to the capitalist valorisation process, and in this functioning as interfaces, we have to search their non-technical essence.

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PEREIRA, CÁSSIO M. M., and RODRIGO F. DE MELLO. "LEARNING PROCESS BEHAVIOR FOR FAULT DETECTION." International Journal on Artificial Intelligence Tools 20, no. 05 (October 2011): 969–80. http://dx.doi.org/10.1142/s0218213011000450.

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Recently, there has been an increased interest in self-healing systems. These types of systems are able to cope with failures in the environment they execute and work continuously by taking proactive actions to correct these problems. The detection of faults plays a prominent role in self-healing systems, as faults are the original causes of failures. Fault detection techniques proposed in the literature have been based on three mainstream approaches: process heartbeats, statistical analysis and machine learning. However, these approaches present limitations. Heartbeat-based techniques only detect failures, not faults. Statistical approaches generally assume linear models. Most machine learning techniques assume the data is independent and identically distributed. In order to overcome all these limitations we propose a new approach to address fault detection, which also gives insight into how process behavior changes over time in the presence of faults. Experiments show that the proposed approach achieves a twofold increase in F -measure when compared to Support Vector Machines (SVM) and Auto-Regressive Integrated Moving Average (ARIMA).

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Martinsen, Kristian, Jonathan Downey, and Ivanna Baturynska. "Human-Machine Interface for Artificial Neural Network Based Machine Tool Process Monitoring." Procedia CIRP 41 (2016): 933–38. http://dx.doi.org/10.1016/j.procir.2015.10.009.

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Wang, Jin Hui, Takanori Yazawa, Guo Chen Gu, Tomonori Kato, and Tatsuki Otsubo. "Application of Diamond Fly Cutting to Improve Form Accuracy by In-Process Measurement and Control for Ordinary Milling Machines." Applied Mechanics and Materials 894 (September 2019): 21–28. http://dx.doi.org/10.4028/www.scientific.net/amm.894.21.

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This paper proposes to improve the form accuracy of a machined surface produced by an ordinary milling machine by diamond fly cutting using controlled cutting with reference surface (CCRS), an in-process measurement and control method. CCRS improves machined surface accuracy by controlling the relative displacement between the tool and workpiece. Diamond fly cutting using CCRS was demonstrated to reduce the table motion error on an ordinary milling machine.

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Asiabanpour, Bahram, and Behrokh Khoshnevis. "Machine path generation for the SIS process." Robotics and Computer-Integrated Manufacturing 20, no. 3 (June 2004): 167–75. http://dx.doi.org/10.1016/j.rcim.2003.10.005.

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Collins, Christopher, Natalia Andrienko, Tobias Schreck, Jing Yang, Jaegul Choo, Ulrich Engelke, Amit Jena, and Tim Dwyer. "Guidance in the human–machine analytics process." Visual Informatics 2, no. 3 (September 2018): 166–80. http://dx.doi.org/10.1016/j.visinf.2018.09.003.

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Davies, S. "Interfacing with the machine [industrial process control]." Engineering & Technology 3, no. 10 (June 7, 2008): 48–51. http://dx.doi.org/10.1049/et:20081005.

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