In-process prediction of corner wear in drilling operations

被引：32

作者：

Liu, HS

Lee, BY

Tarng, YS ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Mech Engn, Taipei 106, Taiwan

[2] Natl Heart Inst Technol, Dept Mech Manufacture Engn, Yunlin 632, Taiwan

来源：

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY | 2000年 / 101卷 / 1-3期

关键词：

corner wear; drilling; prediction; polynomial networks;

D O I：

10.1016/S0924-0136(00)00434-9

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper presents an in-process prediction of corner wear in drilling operations by means of a polynomial network. The polynomial network is composed of a number of functional nodes and well organized to form an optimal network architecture using an algorithm for synthesis of polynomial networks (ASPNs). Thrust force or torque in drilling operations has been correlated with corner wear in this study. It has been shown that the thrust force is better than the torque as the sensing signal for the in-process prediction of corner wear. Experimental results have shown that the corner wear over a wide if the cutting speed, feed rare, drill diameter, and thrust force are range of drilling conditions can be predicted with a reasonable accuracy given. (C) 2000 Published by Elsevier Science S.A. All rights reserved.

引用

页码：152 / 158

页数：7

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