Conceptual design of fixtures using machine learning techniques

被引：33

作者：

Kumar A.S. ^{[1
,2
]}

Subramaniam V. ^{[1
]}

Teck T.B. ^{[1
]}

机构：

[1] Dept. of Mech. and Prod. Engineering, National University of Singapore, Singapore

[2] Dept. of Mech. and Prod. Engineering, National University of Singapore, 119260 Singapore

来源：

International Journal of Advanced Manufacturing Technology | 2000年 / 16卷 / 03期

关键词：

Work-holding devices;

D O I：

10.1007/s001700050024

中图分类号：

学科分类号：

摘要：

Fixtures are work-holding devices which are used to locate and hold a workpiece during most of the machining operations. The design of a fixture is a complex and an intuitive process, which requires knowledge and experience. Automating the fixture design process is difficult and this is attributed to the problem of capturing the design knowledge. Recent advances in artificial intelligence, in particular in machine learning, have provided methods for capturing design knowledge. In this paper, an attempt to use machine learning for capturing the fixture design knowledge and using it for generating the conceptual design of fixtures automatically is presented with case studies.

引用

页码：176 / 181

页数：5

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