Prediction of die casting process parameters by using an artificial neural network model for zinc alloys

Prasad K.D.V.Yarlagadda 20f

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Prediction of die casting process parameters by using an artificial neural network model for zinc alloys

机译：锌合金人工神经网络模型用于压铸工艺参数预测

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Pressure die casting is an important production process. In pressure die casting, the first setting of process parameters is established through guess work. Experts use their previous experience and knowledge to develop a solution for a new application. Se to rapid expansion in the die casting process to produce better quality products in a short period of time, there is ever increasing demand to replace the time-consuming and expert-reliant traditional trial and eror methods of establishing process parameters.

机译：压铸是重要的生产工艺。在压铸中，通过猜测工作建立工艺参数的第一设置。专家们利用他们以前的经验和知识来开发新应用程序的解决方案。为了在压铸过程中快速扩展以在短时间内生产更高质量的产品，对替换耗时且依赖专家的传统试验和错误方法来建立过程参数的需求日益增长。

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来源
《International Journal of Production Research》 |2000年第1期|p.119-139|共21页
作者
Prasad K.D.V.Yarlagadda 20f;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类管理学;
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Prediction of die casting process parameters by using an artificial neural network model for zinc alloys

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