Tool wear estimation in micro-machining. Part I: tool usage-cutting force relationship

被引：108

作者：

Tansel, IN ^{[1
]}

Arkan, TT ^{[1
]}

Bao, WY ^{[1
]}

Mahendrakar, N ^{[1
]}

Shisler, B ^{[1
]}

Smith, D ^{[1
]}

McCool, M ^{[1
]}

机构：

[1] Florida Int Univ, Ctr Engn & Appl Sci, Dept Engn Mech, Miami, FL 33199 USA

来源：

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE | 2000年 / 40卷 / 04期

关键词：

micro-tool; end-mill; milling; monitoring; neural network; wear; micro-machining;

D O I：

10.1016/S0890-6955(99)00073-5

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The relationship between the cutting force characteristics and tool usage (wear) in a micro-end-milling operation was studied for two different metals. Neural-network-based usage estimation methods are proposed that use force-variation- and segmental-averaging-based encoding techniques. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：599 / 608

页数：10

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