Self-adaptive prediction of microstructure and performance after forging with die

Miaoquan Li; Xingquan Zhang; Xuemei Liu; Shidun Wu; Fanchang Zeng; Zhengshan Cui

Self-adaptive prediction of microstructure and performance after forging with die

Miaoquan Li, Xingquan Zhang, Xuemei Liu, Shidun Wu, Fanchang Zeng, Zhengshan Cui

材料学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

摘要

The present situation and future development of the optimization of forging process and process parameters, the prediction of microstructure, performance of forgings were summarized. A fuzzy neural network model has been proposed as a new technique used to predict the microstructure and performance of the forgings and optimize the process parameters. This will ensure the quality of forgings, decrease the material consumption and increase the productivity.

源语言	英语
页（从-至）	42-45
页数	4
期刊	Cailiao Gongcheng/Journal of Materials Engineering
期	1
出版状态	已出版 - 1998

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abstract = "The present situation and future development of the optimization of forging process and process parameters, the prediction of microstructure, performance of forgings were summarized. A fuzzy neural network model has been proposed as a new technique used to predict the microstructure and performance of the forgings and optimize the process parameters. This will ensure the quality of forgings, decrease the material consumption and increase the productivity.",

author = "Miaoquan Li and Xingquan Zhang and Xuemei Liu and Shidun Wu and Fanchang Zeng and Zhengshan Cui",

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AU - Li, Miaoquan

AU - Zhang, Xingquan

AU - Liu, Xuemei

AU - Wu, Shidun

AU - Zeng, Fanchang

AU - Cui, Zhengshan

PY - 1998

Y1 - 1998

N2 - The present situation and future development of the optimization of forging process and process parameters, the prediction of microstructure, performance of forgings were summarized. A fuzzy neural network model has been proposed as a new technique used to predict the microstructure and performance of the forgings and optimize the process parameters. This will ensure the quality of forgings, decrease the material consumption and increase the productivity.

AB - The present situation and future development of the optimization of forging process and process parameters, the prediction of microstructure, performance of forgings were summarized. A fuzzy neural network model has been proposed as a new technique used to predict the microstructure and performance of the forgings and optimize the process parameters. This will ensure the quality of forgings, decrease the material consumption and increase the productivity.

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M3 - 文章

AN - SCOPUS:0032273237

SN - 1001-4381

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EP - 45

JO - Cailiao Gongcheng/Journal of Materials Engineering

JF - Cailiao Gongcheng/Journal of Materials Engineering

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Self-adaptive prediction of microstructure and performance after forging with die

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