Abstract
The design of jigs and fixtures is a highly complex and intuitive process. There are many mathematical and scientific formulae which can be used to calculate cutting forces, deflection of structural members, tolerance analysis of locating datum, etc. However, many of the good design features of jigs and fixtures such as correct proportioning, ease of loading, safety considerations, ingenuity in securing workpieces, etc. come from the experience and skill of the designer. As a result of the demand for both engineering analysis and craftmanship, the automation of fixture design has not been considered possible in the past. Recent developments in artificial intelligence techniques and, in particular, knowledge representation and inference procedures have opened up great opportunities in automating this field. Computer-aided jigs and fixtures research started in mid-1970s and towards the early 1980s, several prominent research institutions began work in this area.
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References
Kochan D. CAM — developments in computer-integrated manufacturing. Springer-Verlag, Berlin, Heidelberg, New York, 1986
Gandhi MV, Thompson BS. Automated design of modular fixtures for flexible manufacturing systems. J Manuf Syst 1986; 5: 243–252
Gandhi, MV, Thompson BS. Phase-change fixturing for flexible manufacturing systems. J Manuf Syst 1985; 4: 29–39
Xu Y et al. A modular fixturing system (MFS) for flexible manufacturing. FMS Mag 1983; October: 292–296
Cutkosky MR, Kurokawa E, Wright PK. Programmable conformable clamps. AUTOFACT 4 conference proceedings, Society of Manufacturing Engineers, 1982, pp 11.51–11.58
Imhof G, Grahl W. Die Auswahl von Vorrichtungselementen als Bestandteil der Rechnergestutzten projektierenden Konstruktion von Vorrichtungen. Wiss Z Techn Hochsc Karl-Marx-Stadt 1977; 19: 49–61
Ingrand F, Latombe J. Functional reasoning for automatic fixture design. Lifia (IMAG) France, 1980
Eversheim W, Buchholz G, Knauf A. Rechnerunterstutzte Konstruktion von Baukastenvorrichtungen. Indust Anz 1985; 107: 13–15
Markus A, Markusz Z, Farkas J, Filemon]. Fixture design using Prolog: an expert system. Robotics Comput Integr Manuf 1984; 1: 167–172
Miller AS, Hannam RG. Computer aided design using a knowledge base approach and its application to the design of jigs and fixtures. Proc I Mech E 1985; 199: no. B4
Nee AYC, Bhattacharya N, Poo AN. A knowledge-based CAD of jigs and fixtures. Technical paper TE85-902, Society of Manufacturing Engineers, 1985
Nee AYC, Bhattacharya N, Poo AN. Applying AI in jigs and fixtures design. Robotics Comput Integr Manuf 1987; 3: 195–201
Bhattacharya N. A knowledge-based computer aided design of jigs and fixtures. MEng thesis, National University of Singapore, 1986
Nee AYC, Bhattacharya N, Poo AN. Computer-aided datum determination using the least tolerance method. Technical paper MS87-905, Society of Manufacturing Engineers, 1987
Englert PJ, Wright PK. Applications of artificial intelligence and the design of fixtures for automated manufacturing. IEEE International conference on robotics and automation, 1986, pp 345–351
Hayes-Roth F, Lenat DB, Waterman DA (eds). Building expert systems. Addison-Wesley, Reading, MA, 1983
Lim BS, Knight JAG. Holdex — holding device expert system. Proceedings 1st international conference on applications of artificial intelligence in engineering problems, 1986, pp 483–493
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© 1991 Springer-Verlag London Limited
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Nee, A.Y.C., Poo, A.N. (1991). Expert CAD Systems for Jigs and Fixtures. In: Pham, D.T. (eds) Artificial Intelligence in Design. Artificial Intelligence in Industry Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74354-2_14
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DOI: https://doi.org/10.1007/978-3-642-74354-2_14
Publisher Name: Springer, Berlin, Heidelberg
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