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Development of a generic computer aided deductive algorithm for process parameter design

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Cheng, K. P., Yip, Daniel C. Y., Lau, K. H. and Barnes, Stuart (2004) Development of a generic computer aided deductive algorithm for process parameter design. In: 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, Wellington Inst Technol, Wellington, NEW ZEALAND, SEP, 2004. Published in: Knowledge-Based Intelligent Information and Engineering Systems, Pt 2, Proceedings, Volume 3214 pp. 28-35. ISBN 3-540-23206-0. ISSN 0302-9743.

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Official URL: http://dx.doi.org/10.1007/978-3-540-30133-2_4

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Abstract

The combined use of computer aided process simulation and design of experiment with artificial intelligence has been regarded as the most versatile way to obtain an optimal solution for the determination of a set of processing parameters at the moment. However, those proposed models are somewhat limited to particular/similar situations and mostly may not be feasible when apply to a real-life or a more complicated situation. As the number of factors/process parameters under an investigation has been increased, those suggested solutions become invalid and impractical because the complexity of work involved will increase exponentially whilst the demand of resources for setting up and maintenance of such a system is unaffordable by ordinary companies. This research study was aimed to make use the deductive approach to develop a set of guided procedures for the determination of the optimum parameter settings for a particular manufacturing process. Through the establishment of an axiom gallery, the processing parameters are sequenced and mapped systematically so that a user can just follow the workflow established. A case study that concerns with the injection moulding (IM) of a plastic toaster dust cover was included to illustrate the effectiveness of the methodology and evaluate its performance.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Series Name: LECTURE NOTES IN COMPUTER SCIENCE
Journal or Publication Title: Knowledge-Based Intelligent Information and Engineering Systems, Pt 2, Proceedings
Publisher: Springer-Verlag Berlin
ISBN: 3-540-23206-0
ISSN: 0302-9743
Editor: Negoita, MG and Howlett, RJ and Jain, LC
Official Date: 2004
Dates:
DateEvent
2004Published
Volume: Volume 3214
Number of Pages: 8
Page Range: pp. 28-35
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems
Type of Event: Conference
Location of Event: Wellington Inst Technol, Wellington, NEW ZEALAND
Date(s) of Event: SEP, 2004

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