کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
796564 | 1466790 | 2006 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An abductive neural network approach to the design of runner dimensions for the minimization of warpage in injection mouldings
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this paper, the finite element and abductive network methods were used to obtain a runner-system design to reach minimum warpage on an injection moulded parts with free-form geometry. This study uses the diameter and length of the runner-system as the major control parameters. In the model creation stage, FEM simulation data were used to derivate an accurate abductive network model for predicting warpage in injection moulded parts corresponding to different control parameters.In the optimization stage, the simulated annealing (SA) method was used. This abductive methodology allows user to efficiently discover an optimal set of parameters without involving complex iteration between the optimization process and FEM simulation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Materials Processing Technology - Volume 174, Issues 1–3, 25 May 2006, Pages 22–28
Journal: Journal of Materials Processing Technology - Volume 174, Issues 1–3, 25 May 2006, Pages 22–28
نویسندگان
Chiaming Yen, J.C. Lin, Wujeng Li, M.F. Huang,