Relevant bibliographies by topics / Machining operations

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Machining operations'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 May 2022

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Journal articles on the topic "Machining operations"

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Sidhu, Ardamanbir Singh, Sehijpal Singh, Raman Kumar, Danil Yurievich Pimenov, and Khaled Giasin. "Prioritizing Energy-Intensive Machining Operations and Gauging the Influence of Electric Parameters: An Industrial Case Study." Energies 14, no. 16 (August 5, 2021): 4761. http://dx.doi.org/10.3390/en14164761.

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Increasing the energy efficiency of machining operations can contribute to more sustainable manufacturing. Therefore, there is a necessity to investigate, evaluate, and optimize the energy consumed during machining operations. The research highlights a method employed to prioritize the most energy-intensive machining operation and highlights the significance of electric parameters as predictors in power estimation of machining operations. Multi regression modeling with standardized regression weights was used to identify significant power quality predictors for active power evaluation for machining operations. The absolute error and the relative error both decreased when the active power was measured by the power analyzer for each of the identified machining operations, compared to the standard power equation and that obtained from the modeled regression equations. Furthermore, to determine energy-intensive machining operation, a hybrid decision-making technique based on TOPSIS (a technique for order preference by similarity to ideal solution) and DoM (degree of membership) was utilized. Allocation of weights to energy responses was carried out using three methods, i.e., equal importance, entropy weights, and the AHP (analytical hierarchy process). Results revealed that a drilling process carried out on material ST 52.3 is energy-intensive. This accentuates the significance of electric parameters in the assessment of active power during machining operations.
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Islam, Sumaiya, Raafat Ibrahim, and Noman Khondoker. "Effect of Machining Velocity in Nanoscale Machining Operations." IOP Conference Series: Materials Science and Engineering 78 (April 2, 2015): 012030. http://dx.doi.org/10.1088/1757-899x/78/1/012030.

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Al-Shafaie, Saad Hameed. "Mathematical Modelling of Magnetic Abrasive Machining Hybrid Operation: A Review." Journal of University of Babylon for Engineering Sciences 26, no. 6 (April 10, 2018): 175–84. http://dx.doi.org/10.29196/jubes.v26i6.1363.

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One of the hybrid operations is called Electrolytic Magnetic Abrasive Machining (EMAM), developed from two essential operations namely Electrochemical Machining (ECM) and Magnetic Abrasive Machining (MAM). EMAM takes advantage of both the operations for preferable machining performance and limits of electrically conductive materials. The workpiece may be cylindrical or flat either on both (internal or external) surface. Despite a few experimental setups have come up but the scope for performance evaluation of developed indigenous setup still remains open. Present study highlights mathematical modeling of process conditions and performance measure for EMAM operation. The unaccustomed performance possibility of EMAM operation at achievement level is in open research for a particular experimental machine. Therefore, mathematical modeling has been abstracted to certain best performance of machining experimental conditions.
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Agapiou, J. S. "The Optimization of Machining Operations Based on a Combined Criterion, Part 2: Multipass Operations." Journal of Engineering for Industry 114, no. 4 (November 1, 1992): 508–13. http://dx.doi.org/10.1115/1.2900705.

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Part 1 of this paper [1] introduced a novel, rational objective function that incorporates both the production cost and total time criteria. In Part 2, the problem of determining the optimum machining conditions for multipass operations is investigated. The optimum number of machining passes is obtained through the dynamic programming technique and the optimum machining conditions for each pass are then determined based on the objective function discussed in Part 1. This approach can be very effectively applied to multistage machining since the optimum arrangement of the different operations can be determined by the dynamic programming method while the optimum cutting conditions for the operations in each machining stage are obtained using the method for single-pass while incorporating the objective function described in Part 1. A multipass turning process is theoretically analyzed and a computational procedure for obtaining the machining parameters is developed. Several examples are presented in order to illustrate the procedure and demonstrate the advantages of the proposed optimization technique for a multipass turning operation.
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Wakabayashi, Toshiaki, Keisuke Yamada, Shota Koike, and Toshifumi Atsuta. "Turning of Titanium Alloy Using Near-Dry Methods with MQL, Coolant Mist and Hybrid Mist Supplies." Key Engineering Materials 749 (August 2017): 101–6. http://dx.doi.org/10.4028/www.scientific.net/kem.749.101.

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Because of effective machining operations with a very small amount of cutting fluids, near-dry machining attracts increasing attentions for environmental and economical benefits. MQL machining has so far been recognized as the most representative near-dry method and it is highly successful in machining of most ordinary steels. Recent concern for environmentally friendly manufacturing further encourages the attempts at applying near-dry operations to machining of difficult-to-cut materials. Since titanium alloys are typical difficult-to-cut materials, this paper investigates the cutting performance of various near-dry methods in turning of a titanium alloy from the view point of elongating the tool life. Those near-dry operations include supply methods of regular MQL mist, coolant mist and hybrid mists, where the coolant mist is atomized water-soluble cutting fluid and hybrid mists are the mixture of MQL and coolant mists. The regular MQL operation provided longer tool life than that of dry machining. In addition, compared with MQL machining, the hybrid mist operations could further extend tool life and, in particular, the single coolant mist operations demonstrated the possibility of making the tool life longer than that of ordinary wet machining with flood cutting fluid supply.
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Tarng, Y. S., S. T. Cheng, and Yue Sheng Wang. "Adaptive Control of Machining Operations." Key Engineering Materials 138-140 (September 1997): 263–88. http://dx.doi.org/10.4028/www.scientific.net/kem.138-140.263.

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Arikan, M. A. Sahir, and Onat H. Totuk. "Design by Using Machining Operations." CIRP Annals 41, no. 1 (1992): 185–88. http://dx.doi.org/10.1016/s0007-8506(07)61181-0.

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Teti, R., K. Jemielniak, G. O’Donnell, and D. Dornfeld. "Advanced monitoring of machining operations." CIRP Annals 59, no. 2 (2010): 717–39. http://dx.doi.org/10.1016/j.cirp.2010.05.010.

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Bila, Narciso Fernando, Rosilani Trianoski, Márcio P. Da Rocha, José Reinaldo Moreira Da Silva, Setsuo Iwakiri, Andrade F. Egas, and Alberto F. Mussana. "Machining Operations on Messassa Wood." Wood Research Journal 11, no. 1 (December 18, 2020): 12–19. http://dx.doi.org/10.51850/wrj.2020.11.1.12-19.

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This study aimed to evaluate the effect of machining operations on the surface quality of the messassa wood (Brachystegia spiciformis and Julbernadia globiflora) for use in the furniture industry. The wood cames from Mozambican Miombo Woodland. The following machining operations were performed: planing, shaping, milling, tearing and boring based on technical standard. The wood had a surface quality approval rating above 70% in all tested machining operations. A perfect surface quality was obtained with a feed speed of 6 m.min-1 in planing. Brachystegia spiciformis had easy workability and extremely well performance compared to Julbernadia globiflora. Nevertheless, both wood species have great potential for use in higher value-added products such as furniture and frame production.
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Liang, Chao, Xu Zhang, and Qing Zhang. "3D Machining Process Planning Based on Machining Feature Recognition Technique." Advanced Materials Research 945-949 (June 2014): 127–36. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.127.

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In the model-based definition (MBD) scheme, activities of process planning need to be carried out in 3D environment. To realize the 3D computer-aided process planning (3D CAPP), the design solid model needs to be transferred into a representation as manufacturing features, features’ process requirement and product manufacturing information (PMI), and then the generative process planning techniques can be realized by inferring machining operations based machining feature knowledge base. A machining feature-based 3D computer-aided process planning approach is proposed for machining part. Design model is transferred into boundary representation (B-Rep). According to a machining features classification scheme, hybrid machining feature recognition technique is introduced. A part process information model is generated including machining features, feature relationship, feature’s process chain. For each recognized machining feature, a feature’s process chain is inferred from feature knowledge base, based on feature type, process requirements, dimension and tolerances, and the enterprise manufacturing resources. Process intermediate models corresponding to each process operation are generated automatically by applying geometry local modification operations. The complete process plan is generated and documented with detailed operation information and 3D process intermediate models. A 3D CAPP tool is developed on ACIS/HOOPS, with industrial cases to demonstrate the feasibility and applicability of proposed method.
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Dissertations / Theses on the topic "Machining operations"

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Sekhon, Gurbachan S. "Monitoring and control of machining operations." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45025.

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The present Computer Numerical Controlled (CNC) machine tools can provide internal states of the machine (such as speed, feed, current, power, torque, and axis tracking errors) to external computers, which in turn can manipulate spindle speeds and feeds through Ethernet communication tools. This thesis presents on-line detection and avoidance of chatter vibrations, on-line prediction of cutting torque and its adaptive control during milling operations. Chatter is detected by monitoring the frequency spectrum of sound signals during machining operations. The forced vibrations that occur at spindle and tooth passing frequencies are removed through a comb filter. The chatter frequency and its magnitude are predicted. The spindle speed is automatically changed to enter the process into the nearest stability pocket if it lies within the first five stability lobes. If the process cannot be stabilized due to missing lobes at low speeds, the spindle speed is harmonically varied without violating the power limit of the spindle drive. The algorithm is implemented on a five axis Mori Seiki NMV5000 Machining Center with a FANUC 30i controller. The communication with an external PC is handled through Ethernet and FOCAS command library of Fanuc. The cutting torque is also predicted by monitoring the current of a three phase induction motor in real time. The cutting torque is estimated through Extended Kalman Filter from the steady state model of the motor after removing the friction component. The estimated torque is used to keep the cutting torque on the machine at desired and safe levels by manipulating the feed rate with adaptive pole placement controller. The thesis shows that it is possible to add process monitoring and control functions to the machine without having to add costly and impractical sensors on the machine, leading to safer and more productive machining operations.
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Polgar, Karch C. (Karch Christos). "Simplified time estimation for basic machining operations." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10929.

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Majeti, Viswanath. "Integration of milling operations into the intelligent machining workstation." Ohio : Ohio University, 2000. http://www.ohiolink.edu/etd/view.cgi?ohiou1172602307.

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Hagiwara, Masaya. "OPTIMIZATION OF MACHINING PERFORMANCE IN CONTOUR FINISH TURNING OPERATIONS." UKnowledge, 2005. http://uknowledge.uky.edu/gradschool_theses/341.

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Unlike straight turning, the effective cutting conditions and tool geometry in contour turning operations are changing with changing workpiece profile. This causes a wide variation in machining performance such as chip flow and chip breakability during the operation. This thesis presents a new methodology for optimizing the machining performance, namely, chip breakability and surface roughness in contour finish turning operations. First, a computer program to calculate the effective cutting conditions and tool geometry along the contour workpiece profile is developed. Second, a methodology to predict the chip side-flow for complex grooved tool inserts is formulated and integrated in the current predictive model for contour turning operations. Third, experimental databases are established and numerical data interpolation is applied to predict the cutting forces, chip shape and size, and surface roughness for 1045 steel work material. Finally, based on the machining performance predictions, a new optimization program is developed to determine the optimum cutting conditions in contour finish turning operations.
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Al-Habaibeh, Amin. "Rapid design of condition monitoring systems for machining operations." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326780.

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Owen, Geraint Wyn. "The buffering of transfer lines." Thesis, University of Bath, 1994. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359242.

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Mgwatu, Mussa I. "Optimization of machining parameters with consideration of tool adjustment in turning operations." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq20936.pdf.

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Tennety, Chandu. "Machining Feature Recognition Using 2D Data of Extruded Operations in Solid Models." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1181406949.

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Mgwatu, Mussa Iddi. "Optimization of machining parameters with consideration of tool adjustment in turning operations." Thesis, University of Ottawa (Canada), 1996. http://hdl.handle.net/10393/10431.

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This thesis presents six optimization models which are developed and solved in two stages in order to integrate tolerancing and machining parameters decisions. One model is developed in the first stage. The first-stage model is related to a design problem and provides better part tolerance to be used in the second stage to incorporate tool adjustment decisions into the optimization of machining parameters. Five models are developed in the second stage and are divided into single-machine and multi-machine turning operation problems. For single-machine turning operations, three models are formulated. The first is a single-product multi-pass model considering pass selection for determining optimum cutting speed, feed rate, depth of cut, dimension deviation and number of passes. The second is a single-product multi-pass model considering inventory and setup costs to find optimum cutting speed, feed rate, depth of cut, dimension deviation and batch size. The third is a multi-product multi-pass model considering inventory and setup costs for selection of optimum cutting speed, feed rate, depth of cut, dimension deviations and production cycle time. For multi-machine turning operations, two models are formulated. One is a multi-feature multi-pass model with the objective of minimizing total cost for determining optimum workload assignment, cutting speed, feed rate, depth of cut, and feature dimension deviations of machine-pass-feature combinations. The second is a multi-feature multi-pass model with the objective of minimizing cycle time which, once solved, will give optimum workload assignment, cutting speed, feed rate, depth of cut, and feature dimension deviations of machine-pass-feature combinations. A solution method and illustrative examples are given to test the feasibility of the developed optimization models. (Abstract shortened by UMI.)
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Revere, Kelvin Mark. "A distributed decision support system for turning and milling operations using the internet." Thesis, Durham University, 2000. http://etheses.dur.ac.uk/4619/.

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The machine tool industry is highly dependent on the tooling which is needed to machine the components used to make the range of products seen in today's society. The range of tooling available to machinists is prolific and subject to continual growth. Those engineers faced with the task of process planning require advanced systems to support the decisions that need to be made for the production process to operate smoothly. The tooling data made available by these systems is a key factor in defining the efficiency with which the production processes can be carried out. This research examines the technical decision support systems made available to industrialists and highlights the scope to provide tooling engineers with up-to-date tooling performance and use data that can be used both in the planning stages as well as dealing with problems encountered during production. Specifically, this research identifies the role performed by widespread tool trials, associated with new tools or new materials, and goes on to show how the information obtained from tool trials can be collated in a structured manner and used to enhance the provision of data with which to carry out the process planning task. The goal of this research was to develop and implement a framework capable of collecting and disseminating data related to tool trials in a coherent and supportive fashion using distributed methods. This target resulted in the deployment of a system named JadeT, which is capable of receiving and analysing data from tool trials and subsequently enhancing the process planning task by basing cutting parameter selection on a combination of fundamental cutting parameter algorithms in parallel with using the approved data generated from tool trials. The JadeT system was tested via the creation of a database using actual tool trial reports, and the manner in which this data was used to provide cutting parameters was analysed. The JadeT system has been developed, deployed and evaluated. The opportunity to use data contained within tool trial reports to support process planning tasks has been identified and exploited. The testing of JadeT indicates that the system fulfils the initial goals and was able to provide suggestions for further research in this area.
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Books on the topic "Machining operations"

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Youssef, Helmi A. Machining technology: Machine tools and operations. Boca Raton, Fl: Taylor & Francis, 2008.

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Kuprianczyk, George. Practical cost estimating for machining operations for machine shops. Chicago: Practical Publications, 1997.

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Khatri, F. A. Determination of the machining operations for a turned component. Manchester: UMIST, 1995.

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Makhanov, S. S. Advanced numerical methods to optimize cutting operations of five-axis milling machines. Berlin: Springer, 2007.

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Paro, Jukka. Machinability effects of stainless steels with a HIPed NiTi coating in high-efficiency machining operations. [Espoo, Finland]: VTT Technical Research Centre of Finland, 2006.

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Davim, J. Paulo. Machining of Complex Sculptured Surfaces. London: Springer London, 2012.

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Markopoulos, Angelos P. Finite Element Method in Machining Processes. London: Springer London, 2013.

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Macfadyen, Brian. A knowledge engineering approach to aspects of operation planning for the machining of turbine discs. Manchester: UMIST, 1992.

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Shu kong xi xue jia gong gong yi bian cheng yu cao zuo: Machining process, programming and operation of NC milling. Beijing Shi: Ren min you dian chu ban she, 2009.

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Machining: Operations, Technology and Management. Nova Science Pub Inc, 2013.

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Book chapters on the topic "Machining operations"

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Sheikh-Ahmad, Jamal Y. "Conventional Machining Operations." In Machining of Polymer Composites, 37–62. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-68619-6_2.

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Tarvin, Patrick. "Operations Management." In Leadership & Management of Machining, 141–62. München: Carl Hanser Verlag GmbH & Co. KG, 2016. http://dx.doi.org/10.3139/9781569906408.012.

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El-Hofy, Hassan. "Mass Finishing Operations." In Fundamentals of Machining Processes, 351–67. Third edition. | Boca Raton, FL: CRC Press/Taylor & Francis Group,: CRC Press, 2018. http://dx.doi.org/10.1201/9780429443329-12.

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Youssef, Helmi, and Hassan El-Hofy. "Thread-Cutting Machines and Operations." In Traditional Machining Technology, 195–224. Second edition. | Boca Raton, FL : CRC Press, [2020]: CRC Press, 2020. http://dx.doi.org/10.1201/9781003055303-5.

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Youssef, Helmi, and Hassan El-Hofy. "Gear-Cutting Machines and Operations." In Traditional Machining Technology, 225–64. Second edition. | Boca Raton, FL : CRC Press, [2020]: CRC Press, 2020. http://dx.doi.org/10.1201/9781003055303-6.

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Huda, Zainul. "Abrasive Finishing Machining Operations." In Machining Processes and Machines, 201–11. First edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003081203-15.

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Ukar, Eneko, Ivan Tabernero, Silvia Martínez, Aitzol Lamikiz, and Asier Fernández. "Laser-assisted Machining Operations." In Modern Manufacturing Processes, 459–80. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119120384.ch19.

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Huda, Zainul. "Grinding Operations and Machines." In Machining Processes and Machines, 181–200. First edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003081203-14.

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Huda, Zainul. "Turning Operations and Machines." In Machining Processes and Machines, 63–89. First edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003081203-7.

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Huda, Zainul. "Drilling Operations and Machines." In Machining Processes and Machines, 91–106. First edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003081203-8.

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Conference papers on the topic "Machining operations"

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Shirur, Arvind, and Jami J. Shah. "Machining Algebra for Mapping Volumes to Machining Operations." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dfm-1303.

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Abstract This paper presents geometric models for representing machining operations. The characteristic shapes produced by machining operations are represented in a uniform (canonical) way for all machining operations as the resultant to two types of tool-workpiece interactions. Each interaction is characterized by a type of sweep operator. The directors of these sweep operations are derived from cutting and feed motion directions. The profiles used in the sweeps are defined in terms of geometric entities and constraints based on tool geometry and tool-workpiece interaction. Most conventional machining processes can be represented using the proposed model (process-to-volume mapping). Inverse operators are also defined for mapping volumes to processes; the inverse operators can be used in selecting potential machining processes for removing given volumes. Thus, representation of machining knowledge is process-based not feature-based, which overcomes the problem of dealing with new feature shapes that are not predefined in the process selector.
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Nelaturi, Saigopal, Gregory Burton, Christian Fritz, and Tolga Kurtoglu. "Automatic spatial planning for machining operations." In 2015 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2015. http://dx.doi.org/10.1109/coase.2015.7294158.

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Lanz, Minna, Mahesh Mani, Swee Leong, Kevin Lyons, Ari Ranta, Kimmo Ikkala, and Nils Bengtsson. "Impact of Energy Measurements in Machining Operations." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28713.

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Over the past years, institutions in general are increasingly interested and involved in sustainability and social responsibility. In addition, social and political pressures have led to the creation of new regulations and policies that support new business opportunities around global sustainability. Considering sustainable manufacturing, a number of indicators have been proposed and currently being researched. The aim of this paper is to explore and discuss the impact of energy measurements as an indicator for sustainable manufacturing. The main question to be asked is, can energy measurement be used for optimization the machining level process. Based on energy monitoring during two Computer Numerical Control (CNC) machining case studies, the significance of energy cost based on different CNC machining strategies and parameter settings is examined and discussed. The preliminary results from the energy measurements on the case studies indicate that potential cost savings in energy will be minimal in CNC operations. Based on the case studies, the potential energy savings in monetary value do not necessarily justify a company’s investment in implementing real time energy tracking technologies; however the results were limited in scope with regards measuring energy as an indicator for evaluating other performance outcomes.
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Xu, Xun W., and Helen Kong. "A Framework on Design for Machining Operations." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-1060.

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Abstract Given the fact that current technology has created islands of automation, lack of integration is a major obstacle in the widespread use of CAD/CAM in routine engineering work. This paper presents a case study of design for manufacturing. Design features in a CAD/CAM package have been investigated. Machining features as well as the cutting tools which can be used to produce the machining features are discussed and categorised. Feature mapping is then performed which establishes the links between design features and machining features, and between machining features and cutting tools. As a result, manufacturing information can be readily available at the design stage.
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Strada, Roberto, Bruno Zappa, and Hermes Giberti. "An Unified Design Procedure for Flying Machining Operations." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82392.

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“Flying machining” represents synchronization of an axis (slave) with a master axis in motion. One of the most important aspects of the design of “flying machining” operation is the choice of the proper law of motion of the slave axis. In literature, technical reports and papers can be found concerning this subject, but they deal with specific problems and the solutions or suggestions proposed are specific as well, suitable for those cases. In order to try to overcome this limitation, in this paper we analyze the subject of the flying machining operations from a wider point of view. We propose a unified design procedure with general validity, suitable for the choice of the slave axis’ law of motion for whatever “flying machining” operation. Furthermore methodologies for the selection of the drive system will be proposed. The procedure is described applying it on a cross sealing operation, typical of wrapping machine.
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Jawahir, I. S., A. K. Balaji, R. Stevenson, and C. A. van Luttervelt. "Towards Predictive Modeling and Optimization of Machining Operations." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1129.

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Abstract The objective of this paper is to introduce an applied systems approach for prediction and optimization of machining performance. Current techniques for assessing machining performance are highly localized and traditionally biased towards the work material. An integrated systems approach is proposed for a reliable and consistent assessment of applied machining performance (AMP). Three areas, namely: fundamental modeling, applied modeling and optimization, are focused on. Fundamental modeling entails generic predictive models for machining performance measures (cutting forces/torque/power, tool-wear/tool-life, chip form/chip breakability, surface roughness/surface integrity, part accuracy, etc.). Applied modeling involves application of the generic models to a specific machining system, including the interactions of the three major elements: workpiece, machine tool and cutting tool. The subsequent step of optimization predicts the optimized machining performance (OMP).
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Landers, Robert G., and A. Galip Ulsoy. "Nonlinear Feed Effect in Machining Chatter Analysis." In ASME 2007 International Manufacturing Science and Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/msec2007-31045.

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Regenerative chatter is a major limitation to the productivity and quality of machining operations due to the excessive rate of tool wear and scrap parts which are produced. Machining chatter analysis techniques examine the stability of the closed-loop model (force process and machine tool-part structure) of the machining operation to determine the stable process parameter space. Almost all chatter analysis techniques assume a linear force process and develop stability lobe diagrams (i.e., plots of the stable and unstable regions in the process parameter space) for a specific feed. It is well known that machining force processes inherently contain a nonlinear relationship between the force and the feed, which is typically described by a power law. In this paper, the linear chatter analysis technique developed by Budak and Altintas is extended to account for the force-feed nonlinearity. The analysis provides insight into the effect feed has on chatter in machining operations. Also, by directly including the force-feed nonlinearity in the chatter analysis, the need to calibrate the force process model at different feeds is alleviated. The analysis is developed for turning and face milling operations and is validated via time domain simulations for both operations and by experiments for a face milling operation. The analyses show excellent agreement with both the time domain simulations and the experiments. Further, several end milling experiments were conducted that illustrate the nonlinear effect feed has on chatter in machining operations.
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Oztemel, Ercan, and Cemalettin Kubat. "5I* Performance indicators of machining and operations management systems." In 2009 7th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2009. http://dx.doi.org/10.1109/indin.2009.5195912.

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Martyny, J. W., M. Hoover, K. Ellis, M. Mroz, L. Newman, and E. Daniloff. "253. Characterization of Beryllium Aerosols Associated with Machining Operations." In AIHce 1998. AIHA, 1999. http://dx.doi.org/10.3320/1.2762644.

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"Coordinated contour following control for machining operations-a survey." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.786449.

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Reports on the topic "Machining operations"

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Claudet, Andre A., Hy D. Tran, and Jiann-Chemg Su. Quantification of uncertainty in machining operations for on-machine acceptance. Office of Scientific and Technical Information (OSTI), September 2008. http://dx.doi.org/10.2172/945903.

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Horst, John, Thomas Hedberg, and Allison Barnard Feeney. On-machine measurement use cases and information for machining operations. Gaithersburg, MD: National Institute of Standards and Technology, August 2019. http://dx.doi.org/10.6028/nist.ams.400-1.

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Perillo, Doug. Assessment of Attack Reconnaissance Helicopter (ARH) Machining, Cutting and Drilling Operations. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada481288.

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Arnold, J. B., K. L. Kruse, and P. K. Stone. CRADA final report for CRADA number Y-1293-0185: Process modelling and machining operations development. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/417621.

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Lee, Yubin. The Optimization of Machining Parameters for Milling Operations by Using the Nelder Mead Simplex Method. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7271.

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Morris, T. O., and R. Kegg. Machine tool evaluation and machining operation development. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/629445.

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Ameta, Gaurav, Mahesh Mani, Sudarsan Rachuri, Shaw C. Feng, Ram D. Sriram, and Kevin W. Lyons. Carbon weight analysis for machining operation and allocation for redesign. Gaithersburg, MD: National Institute of Standards and Technology, 2009. http://dx.doi.org/10.6028/nist.ir.7560.

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Experienced journeyman machinist killed while operating an engine lathe. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, April 2012. http://dx.doi.org/10.26616/nioshsface12or018.

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