Abstract
This paper presents a Computer-aided System known as the deep-drawing tool applied to the resolution of a combined deep-drawing and ironing process. The system allows the user for selecting input data for getting the formability of material to deep-drawing, selecting the process that provides the best solution from a technological perspective, optimizing the process for material waste, knowing the influence of the punch in the results and considering the process cost. In this manner, the tool allows developing competencies to students that apply scientific, technological, mathematical, economical and sustainable knowledge, with a global vision of the manufacturing processes and conciliating research and teaching. An industrial case has been considered and the proposed Computer-aided System has been tested with a brass alloy to demonstrate the system’s capability. The results obtained show significant improvements in the two variables analyzed, namely, total process time and total manufacturing cost. These aspects provide competencies to students in the manufacturing environment.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Canesin C. A., Gonçalves F. A. S., Sampaio L. P. (2010) Simulation tools for power electronics courses based on java technologies. IEEE Transactions Education 53(4): 580–586
Carolan R., Tiernan P. (2009) Computer controlled system for dieless drawing of tool steel bar. Journal of Materials Processing Technology 209: 3335–3342
Chung, S. Y., Swift, S. H. (1975) An experimental investigation into the re-drawing of cylindrical shells. Proceedings of Institute of Mechanical Engineering Part B: Journal of Engineering Manufacture. 1B, pp. 437–447
Choi T. H., Choi S., Na K. N., Bae H. S., Chung W. J. (2002) Application of intelligent design support system for multi-step deep drawing process. Journal of Materials Processing Technology 130(131): 76–88
Dieter G. E. (1985) Mechanical metallurgy (3rd ed.). McGraw-Hill, NewYork
Ford H. (1986) Advanced mechanics of materials. Ellis Horwood Limited, Chichester
Iliescu C. (1990) Cold-pressing technology. Elsevier, Bucharest
Kang S. S., Park D. H. (2002) Application of computer-aided process planning system for non-axisymmetric deep drawing products. Journal of Materials Processing Technology 124: 36–48
Koyama H., Manabea K., Yoshihara S. (2003) A database oriented process control design algorithm for improving deep-drawing performance. Journal of Materials Processing Technology 138: 343–348
Kusiak A. (2000) Computational intelligence in design and manufacturing. Wiley, New York
Lange K. (1985) Handbook of metal forming. McGraw-Hill, New York
Latchman H. A., Salzmann C., Gillet D., Bouzekri H. (1999) Information technology enhanced learning in distance and conventional education. IEEE Transactions Education 42(4): 247–254
Leu D. K. (1997) Prediction of the limiting drawing ratio and the maximum drawing load in cup-drawing. International Journal of Machine Tools Manufacture 37: 201–213
Mears, L., Omar, M., Kurfess, T. R. (2011). Automotive engineering curriculum development: Case study for Clemson University. Journal of Intelligent Manufacturing, doi:10.1007/s10845-009-0329-z.
O’Sullivan, D., Rolstadås, A., Filos, E. (2011). Global education in manufacturing strategy. Journal of Intelligent Manufacturing, doi:10.1007/s10845-009-0326-2.
Park S. B., Choi Y., Kim B. M., Choi J. C. (1998) A study of a computer-aided process design system for axisymmetric deep-drawing products. Journal of Materials Processing Technology 75: 17–26
Prince M. J., Felder R. M., Brent R. (2007) Does faculty research improve undergraduate teaching? An analysis of existing and potential synergies. Journal of Engineering Education 96(4): 283–294
Ramana K. V., Rao P. V. M. (2004) Data and knowledge modeling for design-process planning integration of sheet metal components. Journal of Intelligent Manufacturing 15(5): 607–623
Ramirez, F. J., Domingo, R. (2010). Application of an aided system to multi-step deep drawing process in the brass pieces manufacturing. In AIP conference on proceedings, Alcoy, Spain, vol. 1181, pp. 370–379.
Ramírez, F. J., Domingo, R., Packianather, M. S., Sebastian, M. A. (2010a). Design and optimization of multi-step deep-drawing processes of axisymmetric cups by means of a scientific model. In Proceedings of the 2nd international on process machine interactions (pp. 10), Vancouver, Canada.
Ramirez, F. J., Domingo, R., Sebastian, M. A. (2010b). An optimization algorithm for improving combined multi-stage deep-drawing and ironing processes of axisymmetric components. Analysis and Experimentation. In Proceedings of the 36th international MATADOR conference, Manchester, UK
Rubio E. M., Marín M., Domingo R., Sebastián M. A. (2009) Analysis of plate drawing processes by the Upper Bound Method using theoretical work-hardening materials. International Journal of Advanced Manufacturing Technology 40(3–4): 261–269
Sattari H., Sedaghati R., Ganesan R. (2007) Analysis and design optimization of deep drawing process. Part II: Optimization. Journal of Materials Processing Technology 184: 84–92
Sebastian M. A., Gonzalez C., Gomez E., Luis C. J. (1999) Consideraciones al estudio mecanico de los procesos de conformado por deformación plástica. Deformación metálica 244: 36–43
Siebel E., Beisswänger H. (1995) Deep drawing. Carl Hanser, Munich
Sonis P., Reddy N. V., Lal G. K. (2003) On multistage deep drawing of axisymmetric components. Journal of Manufacturing Science Engineering 125: 352–362
Verma R. K., Chandra S. (2006) An improved model for predicting limiting drawing ratio. Journal of Materials Processing Technology 172: 218–224
Vosniakos G. C., Segredou I., Giannakakis T. (2005) Logic programming for process planning in the domain of sheet metal forming with progressive dies. Journal of Intelligent Manufacturing 16(4–5): 479–497
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ramírez, F.J., Domingo, R., Sebastián, M.A. et al. The development of competencies in manufacturing engineering by means of a deep-drawing tool. J Intell Manuf 24, 457–472 (2013). https://doi.org/10.1007/s10845-011-0575-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10845-011-0575-8