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Journal articles on the topic 'Manufacturing processes'

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Published: 4 June 2021
Last updated: 29 July 2024

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1

Edwards, K. L. "Manufacturing engineering processes." Materials & Design 16, no. 1 (January 1995): 60–61. http://dx.doi.org/10.1016/0261-3069(95)90097-7.

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2

Barash, Moshe M. "Manufacturing engineering processes." Journal of Manufacturing Systems 13, no. 3 (January 1994): 235–37. http://dx.doi.org/10.1016/0278-6125(94)90007-8.

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3

Kohser, Ronald A. "Nontraditional manufacturing processes." Materials Science and Engineering: A 108 (February 1989): 294–95. http://dx.doi.org/10.1016/0921-5093(89)90436-x.

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4

Jawahir, I. S., H. Attia, D. Biermann, J. Duflou, F. Klocke, D. Meyer, S. T. Newman, et al. "Cryogenic manufacturing processes." CIRP Annals 65, no. 2 (2016): 713–36. http://dx.doi.org/10.1016/j.cirp.2016.06.007.

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5

Salmi, Mika. "Comparing additive manufacturing processes for distributed manufacturing." IFAC-PapersOnLine 55, no. 10 (2022): 1503–8. http://dx.doi.org/10.1016/j.ifacol.2022.09.603.

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6

Khosravani, Mohammad Reza. "Composite Materials Manufacturing Processes." Applied Mechanics and Materials 110-116 (October 2011): 1361–67. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.1361.

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— Using Composite materials are growing more and more today and we have to use them in possible situation. One of the Composite materials applications is on the Airplane and aero space. Reduction of Airplane weight and more adaptability with nature are examples of benefit of using composite materials in aerospace industries. In this article process of manufacturing of composite materials and specially carbon fiber composite are explained. Advance composite materials are common today and are characterized by the use of expensive, high-performance resin systems and high-strength, high-stiffness fiber reinforcement. The aerospace industry, including military and commercial aircraft of all types, is the major customer for advanced composites. Product range now includes materials for low pressure and low temperature. Some using composite materials in aero space are as follow: Satellite Components, Thin Walled Tubing for Aircraft and Satellites, launch vehicle components and honeycomb structures.
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7

Zagidullin, R. R. "Management of manufacturing processes." Russian Engineering Research 31, no. 2 (February 2011): 187–90. http://dx.doi.org/10.3103/s1068798x11020286.

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8

Liang, Steven Y. "MANUFACTURING PROCESSES AND EQUIPMENT." Machining Science and Technology 4, no. 2 (January 2000): 317–18. http://dx.doi.org/10.1080/10940340008945713.

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9

Lauwers, Bert, Fritz Klocke, Andreas Klink, A. Erman Tekkaya, Reimund Neugebauer, and Don Mcintosh. "Hybrid processes in manufacturing." CIRP Annals 63, no. 2 (2014): 561–83. http://dx.doi.org/10.1016/j.cirp.2014.05.003.

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10

Shih, Albert J., Shiva Raman, Yuebin Guo, Meisam Salahshoor, and Lihui Wang. "Advancements in manufacturing processes." Journal of Manufacturing Processes 24 (October 2016): 319–20. http://dx.doi.org/10.1016/j.jmapro.2016.06.010.

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11

Richards, N. L. "Manufacturing processes, modelling and twenty-first century manufacturing." Canadian Metallurgical Quarterly 50, no. 3 (July 2011): 253–62. http://dx.doi.org/10.1179/1879139511y.0000000005.

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12

Liu, Juan. "Looking Green Manufacturing Processes in the Machinery Manufacturing." Advanced Materials Research 503-504 (April 2012): 111–14. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.111.

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In this paper, there are many system analysis and Summary about the green manufacturing processes, the development of profiles in machinery manufacturing, and prospects about the future research of the green manufacturing process.In real terms, green manufacturing processes in the mechanical manufacturing process is a series of decision-making process, which is important about the clear decision-making objectives of this paper, based on existing research of green manufacturing, this paper summed up the target system and decision-making model of the green manufacturing processes in the machinery.The exact division of the decision-making goal and the proper establishment of the decision model has important implications for the future of green manufacturing.
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13

Kinouchi, Yuki, Masahiko Yoshino, Hiroyuki Miyasaka, Nayuta Minami, Tomoyuki Takahashi, and Noritsugu Umehara. "Nano Forming Process for Functional Surface(M^4 processes and micro-manufacturing for science)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 849–54. http://dx.doi.org/10.1299/jsmelem.2005.2.849.

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14

Maloletnev, A. S., K. I. Naumov, G. B. Skripchenko, and I. M. Shvedov. "New lumped fuel manufacturing processes." Solid Fuel Chemistry 45, no. 3 (June 2011): 184–90. http://dx.doi.org/10.3103/s0361521911030098.

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15

A, Velayudham. "Modern Manufacturing Processes: A Review." International Journal on Design and Manufacturing Technologies 1, no. 1 (2007): 30–40. http://dx.doi.org/10.18000/ijodam.70006.

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16

Shokrani, Alborz, and Dirk Biermann. "Advanced Manufacturing and Machining Processes." Journal of Manufacturing and Materials Processing 4, no. 4 (October 27, 2020): 102. http://dx.doi.org/10.3390/jmmp4040102.

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17

Palajova, Silvia, and Milan Gregor. "Simulation Metamodelling of Manufacturing Processes." Communications - Scientific letters of the University of Zilina 13, no. 4 (December 31, 2011): 51–54. http://dx.doi.org/10.26552/com.c.2011.4.51-54.

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18

Mani, Mahesh, Jatinder Madan, Jae Hyun Lee, Kevin W. Lyons, and S. K. Gupta. "Sustainability characterisation for manufacturing processes." International Journal of Production Research 52, no. 20 (February 28, 2014): 5895–912. http://dx.doi.org/10.1080/00207543.2014.886788.

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19

Orman, A., J. Blazewicz, K. H. Ecker, E. Pesch, G. Schmidt, and J. Weglarz. "Scheduling Computer and Manufacturing Processes." Journal of the Operational Research Society 48, no. 6 (June 1997): 659. http://dx.doi.org/10.2307/3010235.

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20

Balasubramanian, S., K. Manonmani, and R. M. Hemalatha. "Lasers in Green Manufacturing Processes." Applied Mechanics and Materials 592-594 (July 2014): 473–78. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.473.

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A safe and healthy work piece is important for sustainable manufacturing process. Green laser surface hardening is a heat treatment process on a part of its application does not use water or oil as quenching media, because it is self-quenching and less detrimental to the environment. Since it is an energy saving process it is fast being adopted by manufacturing industries. Quenching media used in conventional heat treatment process for a sudden cooling of the heated work piece to get hard structure transformation. Unfortunately the reactions of quenchant with hot working also have several negative health, production cost, and environmental impact.This paper focuses the experimental investigation into the roller of green surface hardening on energy saving, the production cost of the industrial components. A comparative study of surface hardening under conventional and laser sources was conducted using similar components. The results show that the quality of hardening improved in laser hardening but the process time increased marginally at one stage and reduced at other shapes of manufacturing. In analyzing the process cost laser hardening show cast saving notably.
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21

Wang, Yuanbin, Robert Blache, and Xun Xu. "Selection of additive manufacturing processes." Rapid Prototyping Journal 23, no. 2 (March 20, 2017): 434–47. http://dx.doi.org/10.1108/rpj-09-2015-0123.

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Purpose This study aims to review the existing methods for additive manufacturing (AM) process selection and evaluate their suitability for design for additive manufacturing (DfAM). AM has experienced a rapid development in recent years. New technologies, machines and service bureaus are being brought into the market at an exciting rate. While user’s choices are in abundance, finding the right choice can be a non-trivial task. Design/methodology/approach AM process selection methods are reviewed based on decision theory. The authors also examine how the user’s preferences and AM process performances are considered and approximated into mathematical models. The pros and cons and the limitations of these methods are discussed, and a new approach has been proposed to support the iterating process of DfAM. Findings All current studies follow a sequential decision process and focus on an “a priori” articulation of preferences approach. This kind of method has limitations for the user in the early design stage to implement the DfAM process. An “a posteriori” articulation of preferences approach is proposed to support DfAM and an iterative design process. Originality/value This paper reviews AM process selection methods in a new perspective. The users need to be aware of the underlying assumptions in these methods. The limitations of these methods for DfAM are discussed, and a new approach for AM process selection is proposed.
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22

Blazewicz, J., K. H. Ecker, E. Pesch, G. Schmidt, and J. Weglarz. "Scheduling Computer and Manufacturing Processes." Journal of the Operational Research Society 48, no. 6 (June 1997): 659. http://dx.doi.org/10.1057/palgrave.jors.2600793.

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23

Snodgrass, Jonathan D., and O. D. McMasters. "Optimized TERFENOL-D manufacturing processes." Journal of Alloys and Compounds 258, no. 1-2 (August 1997): 24–29. http://dx.doi.org/10.1016/s0925-8388(97)00067-4.

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24

Snodgrass, J. "Optimized TERFENOL-D manufacturing processes." Journal of Alloys and Compounds 258 (August 1, 1997): 24–29. http://dx.doi.org/10.1016/s0925-8388(97)90485-0.

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25

Hayes, K. S. "Industrial processes for manufacturing amines." Applied Catalysis A: General 221, no. 1-2 (November 2001): 187–95. http://dx.doi.org/10.1016/s0926-860x(01)00813-4.

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26

Platts, K. W., J. F. Mills, M. C. Bourne, A. D. Neely, A. H. Richards, and M. J. Gregory. "Testing manufacturing strategy formulation processes." International Journal of Production Economics 56-57 (September 1998): 517–23. http://dx.doi.org/10.1016/s0925-5273(97)00134-5.

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27

Hyman, B. "Energy intensity of manufacturing processes." Energy 20, no. 7 (July 1995): 593–606. http://dx.doi.org/10.1016/0360-5442(95)00013-7.

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28

Needham, G. "Modern materials and manufacturing processes." Materials & Design 8, no. 6 (November 1987): 361–62. http://dx.doi.org/10.1016/0261-3069(87)90105-1.

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29

Roy, Anjan, and Rajen K. Gupta. "Knowledge Processes in Small Manufacturing." Journal of Entrepreneurship 16, no. 1 (March 2007): 77–93. http://dx.doi.org/10.1177/097135570601600104.

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30

Shaw, Milton C. "Manufacturing processes for engineering materials." International Journal of Machine Tool Design and Research 25, no. 1 (January 1985): 99–100. http://dx.doi.org/10.1016/0020-7357(85)90061-7.

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31

Rupp, Stephen M. "Manufacturing Principles and Human Processes." Regional Anesthesia and Pain Medicine 30, no. 1 (January 2005): 1–3. http://dx.doi.org/10.1097/00115550-200501000-00001.

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32

Yunming, Zhang. "Ancient Chinese Sulfur Manufacturing Processes." Isis 77, no. 3 (September 1986): 487–97. http://dx.doi.org/10.1086/354207.

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33

Blazewicz, J., K. H. Ecker, E. Pesch, G. Schmidt, and J. Weglarz. "Scheduling Computer and Manufacturing Processes." Journal of the Operational Research Society 48, no. 6 (1997): 659. http://dx.doi.org/10.1038/sj.jors.2600793.

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34

Tittley, J. D. "Selecting the best manufacturing processes." Production Engineer 64, no. 8 (1985): 9. http://dx.doi.org/10.1049/tpe.1985.0193.

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35

Karaulova, Tatyana, Marina Kostina, and Eduard Shevtshenko. "Reliability Assessment of Manufacturing Processes." International Journal of Industrial Engineering and Management 3, no. 3 (September 30, 2012): 143–51. http://dx.doi.org/10.24867/ijiem-2012-3-118.

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36

Fratini, Livan, Ihab Ragai, and Lihui Wang. "Special Issue of Journal of Manufacturing Processes on New Trends in Manufacturing Processes Research." Procedia Manufacturing 34 (2019): 8–9. http://dx.doi.org/10.1016/j.promfg.2019.06.104.

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37

NAKADATE, Hajime, and Yoshinobu TAKEDA. "Metal Powder for AM (Additive Manufacturing) and Manufacturing Processes." Journal of the Japan Society of Powder and Powder Metallurgy 66, no. 11 (November 15, 2019): 539–46. http://dx.doi.org/10.2497/jjspm.66.539.

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38

Hans Raj, K., Rahul Swarup Sharma, Sanjay Srivastava, and C. Patvardhan. "Modeling of manufacturing processes with ANNs for intelligent manufacturing." International Journal of Machine Tools and Manufacture 40, no. 6 (May 2000): 851–68. http://dx.doi.org/10.1016/s0890-6955(99)00094-2.

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39

Konyha, József, and Tamás Bányai. "Sensor Networks for Smart Manufacturing Processes." Solid State Phenomena 261 (August 2017): 456–62. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.456.

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Each factory and manufacturing plant needs a flexible and reliable in-plant resource supply to serve production processes efficiently. Manufacturing systems are composed of several numbers of elements, workstations, machines and logistics resources. Production line is a complex system because of the complicated manufacturing process, multiple types, high machining difficulty and many special processes in it. In the Industry 4.0 based on smart manufacturing, it is essential to support the processes with intelligent sensor networks. In this article, we give a brief overview about sensors often used in manufacturing processes. Sensor networks generate a massive and increasing amount of data that needs to be processed. Computationally intensive algorithms are used for the data processing (image, voice and signal processing, different classification functions, numeric optimization routines). Finally, we discuss how GPGPU can improve the real-time processing of data generated by intelligent sensor networks.
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40

Schuh, Günther, Martin Pitsch, and Michael Salmen. "Holistic Development of Mobile Applications to Support Manufacturing Processes." International Journal of Future Computer and Communication 4, no. 4 (2015): 242–45. http://dx.doi.org/10.7763/ijfcc.2015.v4.393.

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41

Fratini, Livan, Ihab Ragai, and Lihui Wang. "Special Issue of Journal of Manufacturing Processes on New Trends in Manufacturing Processes Research 2020." Procedia Manufacturing 48 (2020): 9–10. http://dx.doi.org/10.1016/j.promfg.2020.05.098.

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42

Wang, Lihui, Livan Fratini, and Albert J. Shih. "Special Issue of Journal of Manufacturing Processes on Advancing Manufacturing Processes Research at NAMRC 46." Procedia Manufacturing 26 (2018): 8–9. http://dx.doi.org/10.1016/j.promfg.2018.07.021.

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43

S, Jeevabharathi. "Reducing Wastages in Pump Manufacturing Processes through Lean Manufacturing Concept." International Journal of Psychosocial Rehabilitation 23, no. 3 (June 30, 2019): 168–82. http://dx.doi.org/10.37200/ijpr/v23i3/pr190118.

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44

Hopkinson, N., and P. Dicknes. "Analysis of rapid manufacturing—using layer manufacturing processes for production." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 217, no. 1 (January 1, 2003): 31–39. http://dx.doi.org/10.1243/095440603762554596.

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Rapid prototyping (RP) technologies that have emerged over the last 15 years are all based on the principle of creating three-dimensional geometries directly from computer aided design (CAD) by stacking two-dimensional profiles on top of each other. To date most RP parts are used for prototyping or tooling purposes; however, in future the majority may be produced as end-use products. The term ‘rapid manufacturing’ in this context uses RP technologies as processes for the production of end-use products. This paper reports findings from a cost analysis that was performed to compare a traditional manufacturing route (injection moulding) with layer manufacturing processes (stereolithography, fused deposition modelling and laser sintering) in terms of the unit cost for parts made in various quantities. The results show that, for some geometries, it is more economical to use layer manufacturing methods than it is to use traditional approaches for production in the thousands.
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45

Tan, Xian-Chun, Yan-Yan Wang, Bai-He Gu, Ze-Kun Mu, and Can Yang. "Improved Methods for Production Manufacturing Processes in Environmentally Benign Manufacturing." Energies 4, no. 9 (September 14, 2011): 1391–409. http://dx.doi.org/10.3390/en4091391.

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46

Chong, Li, Seeram Ramakrishna, and Sunpreet Singh. "A review of digital manufacturing-based hybrid additive manufacturing processes." International Journal of Advanced Manufacturing Technology 95, no. 5-8 (November 22, 2017): 2281–300. http://dx.doi.org/10.1007/s00170-017-1345-3.

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47

Shinde, Mahesh S., and Kishor M. Ashtankar. "Additive manufacturing–assisted conformal cooling channels in mold manufacturing processes." Advances in Mechanical Engineering 9, no. 5 (May 2017): 168781401769976. http://dx.doi.org/10.1177/1687814017699764.

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48

Tai, Y. T., W. L. Pearn, and Chun-Min Kao. "Measuring the Manufacturing Yield for Processes With Multiple Manufacturing Lines." IEEE Transactions on Semiconductor Manufacturing 25, no. 2 (May 2012): 284–90. http://dx.doi.org/10.1109/tsm.2011.2179568.

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49

Cota, M. L., M. Neri, L. Allievi, L. Crippa, S. Ungari, F. Bonfanti, A. Testasecca, et al. "Process Development and Manufacturing: VECTOR MANUFACTURING PROCESSES FOR GENE THERAPY." Cytotherapy 25, no. 6 (May 2023): S174. http://dx.doi.org/10.1016/s1465-3249(23)00464-4.

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50

Sanz, Alfredo, E. M. Rubio Alvir, Carmen Martínez Murillo, and M. A. Sebastián. "Manufacturing Processes Analysis by Virtual Reality." Materials Science Forum 526 (October 2006): 139–44. http://dx.doi.org/10.4028/www.scientific.net/msf.526.139.

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Present work shows many of Virtual Reality (RV) developments carried out in manufacturing processes field by the collaboration between Aerospace Materials and Production Department at the UPM University and Manufacturing and Construction Engineering at the UNED university. Most of them have been directed towards Numerical Control Machine Tools field and towards equipment that configure automated manufacturing systems like Flexible Manufacturing Systems (FMS).
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