Intelligent control simulation system for powder injection molding based on artificial neural network
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摘要: 基于數值模擬和人工神經網絡模型以及對智能控制工藝過程的適當簡化,為拉伸樣模型的注射過程建立了一套智能化控制仿真系統.研究表明,該系統能夠根據樣品對性能的要求(如密度分布),自動進行注射工藝參數的優化.采用優化后的注射工藝參數重新進行注射過程模擬計算后,發現注射坯密度分布的均勻性較調整前有顯著提高,基本符合預期的密度要求,證明智能化控制仿真系統可行.Abstract: Based on numerical calculations and an artificial neural network (ANN) model as well as intelligent control technology, a set of intelligent control simulation system was founded for the injection process of standard tensile samples. The results show that this system can automatically optimize injection parameters according to the requirement of injection bodies to the properties (such as density distribution). It is found, after the introduction of the intelligent control simulation system to injection processing, that the uniformity of density distribution in injection bodies is obviously improved and can meet the expected density distribution, proving that this intelligent control simulation system is feasible.
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Key words:
- powder metallurgy /
- injection molding /
- intelligent control /
- neural networks
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