Title of article :
Simulation and experimental study in determining injection molding process parameters for thin-shell plastic parts via design of experiments analysis
Author/Authors :
Chen، نويسنده , , Ching-Piao and Chuang، نويسنده , , Ming-Tsan and Hsiao، نويسنده , , Yun-Hsiang and Yang، نويسنده , , Yung-Kuang and Tsai، نويسنده , , Chih-Hung، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
8
From page :
10752
To page :
10759
Abstract :
This paper deals with the application computer-aided engineering integrating with statistical technique to reduce warpage variation depended on injection molding process parameters during production of thin-shell plastic components. For this purpose, a number of Mold-Flow analyses are carried out by utilizing the combination of process parameters based on three level of L18 orthogonal array table. In the meantime, apply the design of experiments (DOE) approach to determine an optimal parameter setting. In addition, a side-by-side comparison of two different approaches of simulation and experimental is provided. In this study, regression models that link the controlled parameters and the targeted outputs are developed, and the identified models can be utilized to predict the warpage at various injection molding conditions. The melt temperature and the packing pressure are found to be the most significant factors in both the simulation and the experimental for an injection molding process of thin-shell plastic parts.
Keywords :
Injection molding , Mold-Flow analyses , warpage , DOE , optimization
Journal title :
Expert Systems with Applications
Serial Year :
2009
Journal title :
Expert Systems with Applications
Record number :
2346845
Link To Document :
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