A study of tool life in hot machining using artificial neural networks and regression analysis method

被引：73

作者：

Tosun, N ^{[1
]}

Özler, L ^{[1
]}

机构：

[1] Firat Univ, Fac Engn, Dept Mech Engn, TR-23279 Elazig, Turkey

来源：

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY | 2002年 / 124卷 / 1-2期

关键词：

Hct machining; tool life; ANN; regression analysis; high manganese steel;

D O I：

10.1016/S0924-0136(02)00086-9

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this study, the high manganese steel specimens heated with liquid petroleum gas flame were machined on a lathe under different cutting conditions of feed rates, depth of cuts, cutting speeds and surface temperatures. A mathematical model for tool life was obtained from the experimental data using a regression analysis method. In addition, the tool life was estimated using artificial neural network (ANN) with back propagation (BP) algorithm. Then, this program was trained and tested. Finally, the experimental data are compared with both the regression analysis results and the estimations of ANN. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：99 / 104

页数：6

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