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Journal articles on the topic 'Computer-aided engineering'

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Published: 4 June 2021
Last updated: 8 June 2024

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1

Kolbasin, Alexander, and Oksana Husu. "Computer-aided design and Computer-aided engineering." MATEC Web of Conferences 170 (2018): 01115. http://dx.doi.org/10.1051/matecconf/201817001115.

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In modern industrial production some of the major factors of successful development include: cost reduction of the production, im-provement of its quality, as well as help to minimise the time in market en-try. Computer-aided design and Computer-aided engineering (CAD / CAE - systems) are the most effective for implementation of these requirements. Possible use of this engineering modeling simulation in conjunction with the power and speed of high performance computing could reduce costs and time of each cycle of designing, and also significantly reduce devel-opment time. The introduction of new technologies, the use of high quality products and engagement of qualified personnel would allow businesses and organizations to get on a path of innovative development of design and production systems.
2

Dorey, A. P. "Computer Aided Engineering." Electronics and Power 31, no. 7 (1985): 528. http://dx.doi.org/10.1049/ep.1985.0320.

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3

Hall, P. A. V., and G. H. Galal. "Computer-aided software engineering." Computer-Aided Engineering Journal 6, no. 4 (1989): 113. http://dx.doi.org/10.1049/cae.1989.0028.

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4

Bonney, M. C. "Computer aided production engineering." Artificial Intelligence in Engineering 3, no. 1 (January 1988): 52. http://dx.doi.org/10.1016/0954-1810(88)90046-5.

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5

Ghosh, S. K. "Computer-aided production engineering." Journal of Mechanical Working Technology 16, no. 2 (April 1988): 223–24. http://dx.doi.org/10.1016/0378-3804(88)90170-2.

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6

Heym, M., and H. Österle. "Computer-aided methodology engineering." Information and Software Technology 35, no. 6-7 (June 1993): 345–54. http://dx.doi.org/10.1016/0950-5849(93)90005-n.

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7

Radcliffe, David F. "Computer-Aided Rehabilitation Engineering—CARE." Journal of Medical Engineering & Technology 10, no. 1 (January 1986): 1–6. http://dx.doi.org/10.3109/03091908609044328.

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8

Cronin, Denis. "Conference report. Computer-aided engineering." Computer-Aided Engineering Journal 2, no. 1 (1985): 32. http://dx.doi.org/10.1049/cae.1985.0007.

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9

Winter, Peter. "Tutorial. Computer-aided process engineering." Computer-Aided Engineering Journal 6, no. 1 (1989): 6. http://dx.doi.org/10.1049/cae.1989.0003.

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10

Richards, Larry G. "Computer–aided Engineering: an Overview." Journal of Engineering Design 2, no. 3 (January 1991): 171–74. http://dx.doi.org/10.1080/09544829108901679.

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11

Lirov, Yuval. "Computer aided neural network engineering." Neural Networks 5, no. 4 (July 1992): 711–19. http://dx.doi.org/10.1016/s0893-6080(05)80047-4.

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12

Currie, A. S. "Computer-Aided Engineering for Manufacture." Artificial Intelligence in Engineering 2, no. 4 (October 1987): 235. http://dx.doi.org/10.1016/0954-1810(87)90194-4.

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13

Anjewierden, Anjo, Jan Wielemaker, and Catherine Toussaint. "Shelley—computer-aided knowledge engineering." Knowledge Acquisition 4, no. 1 (March 1992): 109–25. http://dx.doi.org/10.1016/1042-8143(92)90016-t.

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14

Wood, J. "Computer Aided Engineering Systems Handbook." Composite Structures 12, no. 1 (January 1989): 79. http://dx.doi.org/10.1016/0263-8223(89)90045-7.

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15

Richardson, F. J. "Computer Aided Engineering in Design." Proceedings of the Institution of Mechanical Engineers, Part B: Management and engineering manufacture 199, no. 3 (August 1985): 145–51. http://dx.doi.org/10.1243/pime_proc_1985_199_060_02.

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Success of the design process hinges on efficient communication between the various functions involved. Traditionally this communication has been ‘paper based’ with information passing between sales, design, production and manufacture to describe the complete history of the product. This complex interaction between the functions depends on the availability at each stage of the most up-to-date and accurate information. The paper based system has many shortcomings in this respect particularly the inability of the designer to assess interactively the effect of any changes he may make on the cost, delivery, quality and performance of the product. The use of computer aided design as a central part of the computer aided engineering system allows a company greatly to improve communications during a project by giving the engineer a way of providing accurate information more quickly to each adjacent function while receiving feedback on the effectiveness and suitability of the product in a fraction of the time.
16

Case, Albert F. "Computer-aided software engineering (CASE)." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 17, no. 1 (September 1985): 35–43. http://dx.doi.org/10.1145/1040694.1040698.

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17

Campbell, A. "CASE: computer-aided software engineering." Information and Software Technology 34, no. 6 (June 1992): 416–17. http://dx.doi.org/10.1016/0950-5849(92)90018-k.

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18

Motard, R. L. "Integrated computer-aided process engineering." Computers & Chemical Engineering 13, no. 11-12 (December 1989): 1199–206. http://dx.doi.org/10.1016/0098-1354(89)87025-5.

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19

Sztain-Pedone, Terra. "Computer-aided biosynthetic pathway engineering." Biophysical Journal 123, no. 3 (February 2024): 349a. http://dx.doi.org/10.1016/j.bpj.2023.11.2119.

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20

Reid, R. J. "Computer-aided engineering for computer architecture laboratories." IEEE Transactions on Education 34, no. 1 (1991): 56–61. http://dx.doi.org/10.1109/13.79882.

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21

Liu, Jikai, Kajsa Duke, and Yongsheng Ma. "Computer-aided design–computer-aided engineering associative feature-based heterogeneous object modeling." Advances in Mechanical Engineering 7, no. 12 (December 2015): 168781401561976. http://dx.doi.org/10.1177/1687814015619767.

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22

Hatziargyriou, N. D. "Book Review: Computer-Aided Systems Engineering." International Journal of Electrical Engineering & Education 26, no. 3 (July 1989): 272–73. http://dx.doi.org/10.1177/002072098902600326.

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23

Belmans, R., D. Verdijck, and W. Geysen. "Computer-aided engineering in electrical machines." Computer-Aided Engineering Journal 6, no. 4 (1989): 128. http://dx.doi.org/10.1049/cae.1989.0030.

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24

Wilson, Derek. "Advances in Computer-Aided Engineering Design." Computing & Control Engineering Journal 2, no. 4 (1991): 196. http://dx.doi.org/10.1049/cce:19910052.

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25

WODAK, SHOSHANA J. "Computer-Aided Design in Protein Engineering." Annals of the New York Academy of Sciences 501, no. 1 Enzyme Engine (June 1987): 1–13. http://dx.doi.org/10.1111/j.1749-6632.1987.tb45678.x.

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26

Rikukawa, H., and I. Sasaki. "Computer Aided Engineering for Ferrite Products." Le Journal de Physique IV 07, no. C1 (March 1997): C1–133—C1–134. http://dx.doi.org/10.1051/jp4:1997144.

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27

GOBIN, R. "Computer Aided Design in Engineering Education." European Journal of Engineering Education 11, no. 2 (January 1986): 127–34. http://dx.doi.org/10.1080/03043798608939289.

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28

Takahashi, A., and I. Okamoto. "Computer Aided Engineering in Body Stamping." CIRP Annals 37, no. 2 (1988): 569–77. http://dx.doi.org/10.1016/s0007-8506(07)60754-9.

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29

HOLT, K. "Computer-aided Creativity in Engineering Design." Journal of Engineering Design 4, no. 4 (January 1993): 371–76. http://dx.doi.org/10.1080/09544829308914792.

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30

Şeker, Soner. "Computer - Aided Learning in Engineering Education." Procedia - Social and Behavioral Sciences 83 (July 2013): 739–42. http://dx.doi.org/10.1016/j.sbspro.2013.06.139.

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31

Corby, Olivier. "Blackboard architectures in computer aided engineering." Artificial Intelligence in Engineering 1, no. 2 (October 1986): 95–98. http://dx.doi.org/10.1016/0954-1810(86)90053-1.

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32

Blundell, Tom, and Michael J. E. Sternberg. "Computer-aided design in protein engineering." Trends in Biotechnology 3, no. 9 (September 1985): 228–35. http://dx.doi.org/10.1016/0167-7799(85)90013-7.

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33

Taylor, Bruce H., John F. Courtright, William H. Acton, and Marcia L. Fox. "Computer-Aided Checklist for Human Engineering." Proceedings of the Human Factors Society Annual Meeting 33, no. 18 (October 1989): 1210–13. http://dx.doi.org/10.1177/154193128903301809.

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Military Standard 1472C is the prevailing standard for human engineering in military systems, possessing literally thousands of design criteria. The breadth and detail of these criteria often prove to be impediments to their effective application. This paper describes a prototype software tool, the Computer-Aided Checklist for Human Engineering (CACHE), designed to automate the generation, administration, and analysis of human engineering compliance checklists.
34

Resh, W. F. "Computer aided engineering in engine design." International Journal of Vehicle Design 23, no. 1/2 (2000): 30. http://dx.doi.org/10.1504/ijvd.2000.001880.

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35

Fernández-Castané, Alfred, Tamás Fehér, Pablo Carbonell, Cyrille Pauthenier, and Jean-Loup Faulon. "Computer-aided design for metabolic engineering." Journal of Biotechnology 192 (December 2014): 302–13. http://dx.doi.org/10.1016/j.jbiotec.2014.03.029.

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36

Nagy, Zoltan K., Nicoleta Maynard, and Paul Şerban Agachi. "Guest editorial—computer-aided process engineering." Asia-Pacific Journal of Chemical Engineering 4, no. 6 (November 2009): 843–44. http://dx.doi.org/10.1002/apj.415.

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37

Iskander, Magdy F. "Computer-aided engineering education and more." Computer Applications in Engineering Education 1, no. 5 (1993): 385–86. http://dx.doi.org/10.1002/cae.6180010501.

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38

Adams, Teresa, Chris Hendrickson, and Paul Christiano. "Computer-aided rehabilitation design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 5, no. 2 (May 1991): 65–75. http://dx.doi.org/10.1017/s0890060400002572.

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The conventional engineering design process consisting of three phases, synthesis, analysis and evaluation can be extended for solving rehabilitation problems by including a diagnosis phase during which abnormalities and malfunctions are identified and characterized. After diagnosis, the design objectives are clearly specified and the conventional engineering design process can begin. Different problem solving strategies, information representation, and processing are useful for the different phases of rehabilitation design. This paper describes the RETAIN knowledge-based rehabilitation design system which integrates a relational database, production rules and algorithmic functions. RETAIN diagnoses retaining wall failures and synthesizes preliminary rehabilitation designs and cost estimates. Its framework and methodology may be applied to other infrastructure components such as pavements, water and sewage networks, bridge piers and marine structures. RETAIN decomposes rehabilitation problems into influencing failure modes then identifies a set of rehabilitation strategies such that each strategy remedies one or more failure modes. Complete rehabilitation solutions are formed by searching and combining strategy components. Conceptual knowledge for design synthesis is organized in relational database tables. The paper includes an example of design synthesis with relational operations for selecting rehabilitation strategies and forming complete rehabilitation solutions.
39

Ikubanni, Peter P., Adekunle A. Adeleke, Olayinka O. Agboola, Chiebuka T. Christopher, Boluwatife S. Ademola, Joseph Okonkwo, Olanrewaju S. Adesina, Peter O. Omoniyi, and Esther T. Akinlabi. "Present and Future Impacts of Computer-Aided Design/ Computer-Aided Manufacturing (CAD/CAM)." Journal Européen des Systèmes Automatisés​ 55, no. 3 (June 30, 2022): 349–57. http://dx.doi.org/10.18280/jesa.550307.

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The world is a growing place with great technological advancement in all areas of life. For some decades now, various disciplines and industries have been engaged in using Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM) across different nations. CAD/CAM utilizes computers to integrate design and manufacturing processes for quality product attainment. This review article examined the present impacts of CAD/CAM on some sectors such as architecture, manufacturing, engineering and design, electronics, automobile, shipbuilding, aerospace, and medicine. Highlights on some applications and future impacts of CAD/CAM have also been discussed. The numerous impacts of CAD/CAM are discussed in the study. It was concluded that CAD/CAM had become integral parts of our world to ease production against traditional methods. The study recommended more research focus on biomaterials for 3-D bioprinting for tissue engineering applications.
40

JEREMY, (ZHENG) LI. "NEW TECHNOLOGY IN COMPUTER AIDED DESIGN, COMPUTER AIDED MANUFACTURING, COMPUTER AIDED ENGINEERING ANALYTIC METHODOLOGY, AUTOMATED AND HIGH SPEED MECHANICAL SYSTEM." i-manager's Journal on Computer Science 5, no. 3 (2017): 6. http://dx.doi.org/10.26634/jcom.5.3.14016.

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41

Stadler, Severin, and Mario Hirz. "A knowledge-based framework for integration of computer aided styling and computer aided engineering." Computer-Aided Design and Applications 13, no. 4 (January 20, 2016): 558–69. http://dx.doi.org/10.1080/16864360.2015.1131552.

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42

Kalra, Vivek, Pradip N. Sheth, and Larry G. Richards. "Reverse Engineering of Mechanical Components within a Computer-aided Design/Computer-aided Manufacturing Environment." Journal of Engineering Design 2, no. 3 (January 1991): 219–30. http://dx.doi.org/10.1080/09544829108901682.

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43

Rodkwan, Supasit, Seksan Winyangkul, Kittinan Unnanon, Rungtham Panyawipart, Chana Raksiri, and Kunnayut Eiamsa-ard. "J-3 An Application of Computer Aided Design and Computer Aided Engineering for the Optimized Condition on Rubber Injection Moulding(Session: Interface/FEM/CAE)." Proceedings of the Asian Symposium on Materials and Processing 2006 (2006): 159. http://dx.doi.org/10.1299/jsmeasmp.2006.159.

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44

Pudlowski, Zenon J. "Developing Computer-Aided Education in Electrical Engineering." International Journal of Electrical Engineering & Education 31, no. 2 (April 1994): 111–27. http://dx.doi.org/10.1177/002072099403100203.

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Developing computer-aided education in electrical engineering This paper gives a comprehensive overview of the variety of research and developmental activities for computer-based education which is carried out in the Department of Electrical Engineering at The University of Sydney, particular emphasis being placed on the research and development of computer-based training programs for undergraduate electrical engineering students.
45

Zhu, Li Hong, Han Zhao, Xiao Chen Yin, Li Jun Zhu, and Liang Zhang. "Computer Aided Automotive Interior Design for Kansei Engineering." Applied Mechanics and Materials 130-134 (October 2011): 504–7. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.504.

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Nowadays, the development of automotive industry trends more personalized and profuse product alternatives. Kansei Engineering has been applied to interior design for customer satisfaction based on ergonomic technology in the paper. The computer aided design automotive interior system includes two subsystems: one is Computer-aided Sensation Survey Subsystem and the other is Computer-aided Automobile Interior Design Subsystem. Mathematical statistics and quantitative analysis method are adopted to establish quantified relationship between product perceptual image and design parameters.
46

Sun, Jae Nam, Binil Starly and Wei. "Design by chip: Computer-aided tissue engineering." Biochemist 29, no. 1 (February 1, 2007): 20–23. http://dx.doi.org/10.1042/bio02901020.

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Computer-aided tissue engineering (CATE) is an evolving, multi-disciplinary field that utilizes the tools of medical image processing, computer-aided design (CAD), computational analysis, multiscale modelling and biomanufacturing for the purposes of tissue engineering. The merging of computation and automation with tissue engineering could have the potential for profound advances in developing tissue replacements and also in better understanding of physiology and pathology at a cellular, tissue, and organ level.
47

Mouftah, H., and K. Shanmugan. "Computer aided techniques for communications systems engineering." IEEE Communications Magazine 25, no. 7 (July 1987): 48–54. http://dx.doi.org/10.1109/mcom.1987.1093655.

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48

Sydenham, P. H. "Computer-aided engineering of measuring instrument systems." Computer-Aided Engineering Journal 4, no. 3 (1987): 117. http://dx.doi.org/10.1049/cae.1987.0028.

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49

Sega, Marko, and Stanko Strmcnik. "Selection of computer-aided control engineering tools." Computing & Control Engineering Journal 4, no. 3 (1993): 129. http://dx.doi.org/10.1049/cce:19930029.

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50

Walker and McGregor. "Computer-Aided Engineering for Analog Circuit Design." Computer 19, no. 4 (April 1986): 100–108. http://dx.doi.org/10.1109/mc.1986.1663211.

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