New Virtual Environment for Active Learning on Parameter Adjustment of Plastic Injection Molding

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This paper describes some aspects of new software development and its academic application. This program is an alternative to enhance and to improve the available resources for students to acquire practical knowledge in plastic injection molding parameterization. A virtual injection molding environment has been developed, which allows preliminary machine capacity determination, number of cavities analysis, injection cycle parameter definition, and defects analysis and representation. The environment allows the student to carry out an iteration process in order to optimize the injection molding process parameters. All decision making is based on an Expert System which response is similar to a skilled machine operator.

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83-94

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August 2009

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© 2009 Trans Tech Publications Ltd. All Rights Reserved

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[1] Simpson, W.; Medeiros, J. et. al.; IME. Inc. A new course for integrating design, manufacturing and production into the engineering curriculum,. Int. J. Engineering Education. Vol. 20, Num. 5, pp.764-766, (2004).

DOI: 10.18260/1-2--9339

Google Scholar

[2] Lamancusa, J.S.; Jorgesen, J.E.; Zayas-Castro, J.L.; The learning factory: a new approach to integrating design and manufacturing into the engineering curriculum,. J. Engineering Education. Vol. 88, Num. 6, pp.103-102, (1997).

DOI: 10.1002/j.2168-9830.1997.tb00272.x

Google Scholar

[3] Shah, J.J.; Sadowky, J.S.; Macia N.F. et. al.; The virtual corporation: simulating real World collaborative design in a university setting". ASME Design and Methology - DTM, 95 Boston MA. Vol. 2, pp.507-515, (1995).

Google Scholar

[4] Carranti, F.J.; A manufacturing enterprise for undergraduates,. Successes in M.E. Design Education, ASME International Congress and Exposition, Nashville, TN. pp.7-12, November (1999).

Google Scholar

[5] Simpson, T.W.; Experiences with a hands-on activity to contrast craft production and mass production in the classroom,. International Journal of Engineering Education. Vol. 19, Num. 2, (2003).

Google Scholar

[6] Liu, J.; Landers, R.G.; Integrated Modular Machine Tool Simulation for Education in Manufacturing Automation,. Int. J. Engineering Education. Vol. 20, No. 4, pp.594-611, (2004).

Google Scholar

[7] Lee, W. B.; Li, J. G.; Cheung, C. F.; Development of a Virtual Training Workshop in Ultraprecision Machining,. Int. J. Engineering Ed. Vol. 18, No. 5, pp.584-596, (2002).

Google Scholar

[8] Fernández, C.; Vicente M. A.; Jiménez L.M.; Virtual Laboratories for Control Education: a Combined Methodology,. Int. J. Engineering Education. Vol. 21, No. 6, pp.1059-1067, (2005).

Google Scholar

[9] Peek, C. S.; Crisalle, O. D.; et al; The Virtual Control Laboratory Paradigm: Architectural Design Requirements and Realization through a DC-Motor Example,. Int. J. Engineering Education. Vol. 21, No. 6, pp.1134-1147, (2005).

Google Scholar

[10] Ma B.; Guo ZY.; Zhou HM.; Li DQ; Virtual plastic injection molding based on virtual reality technique,. International Journal of Advanced Manufacturing Technology 31 (11-12): 10921100 Feb (2007).

DOI: 10.1007/s00170-005-0282-8

Google Scholar

[11] Shen C.; Wang L.; Li Q.; Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method,. Journal of Materials Processing Technology 183 (2007) 412-418.

DOI: 10.1016/j.jmatprotec.2006.10.036

Google Scholar

[12] Ivester R.; Danai K; Automatic tuning and regulation of injection molding by the Virtual Search Method,. Journal of Manufacturing Science and Engineering-Transactions of the ASME 120 (2): 323-329 May (1998).

DOI: 10.1115/1.2830130

Google Scholar

[13] Yang, D.; Danai, K.; Kazmer D.; A Knowledge-Based Tuning Method for Injection Molding Machines,. Transactions of the ASME Vol. 123, 682-691 Nov (2001).

DOI: 10.1115/1.1382596

Google Scholar

[14] Su, Y.; Shah, J.; Lin, L.; Implementation and analysis of polymeric microestructure replication by Micro Injection Moulding,. Journal of Micromechanics and Microengineering. Vol. 14, pp.415-422, (2004).

DOI: 10.1088/0960-1317/14/3/015

Google Scholar

[15] Polymer Training Limited PTL (PICAT). Halesfield 7 Telford. Shropshire TF7 4NA. United Kingdom. http: /www. ptlonline. org. uk/home. htm.

Google Scholar

[16] Moldflow Corporation. 492 Old Connecticut Path, Suite 401. Framingham, MA 01701 USA. http: /www. moldflow. com/stp.

Google Scholar

[17] Beaumont, J. P.; et al; Successful injection molding: process, design, and simulation,. Hanser (2002).

Google Scholar

[18] Osswald, T.A.; Injection molding handbook,. Hanser (2001).

Google Scholar

[19] Naranjo C., A; et al; Injection molding processing data,. Hanser (2001).

Google Scholar