Knowledge-Based Expert System for Ballscrew Grinding

Author:

Billatos S. B.1,Webster J. A.2

Affiliation:

1. Dept. of Mechanical Engineering, University of Connecticut, Storrs, CT 06269-3139

2. The Grinding Center, University of Connecticut, Storrs, CT 06269-3237

Abstract

This paper discusses the ballscrew grinding process and provides a newly structured knowledge-based expert system (KBES) developed to automate the process based on fuzzy pattern recognition techniques for shape control with recommendations for further optimization considering practical machining constraints. The KBES offers several advantages including the use of semiskilled operators who can monitor several machines simultaneously, the consistent production of high quality parts, and the significant reduction in cycle time due to automatic adjustment of steadies. A new stepper motor steady design and in-process measuring system are also described.

Publisher

ASME International

Subject

General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generalized Intelligent Grinding Advisory System;International Journal of Production Research;2007-04-15

2. Shape prediction during the cylindrical traverse grinding of a slender workpiece;Journal of Materials Processing Technology;1999-04

3. Neurofuzzy model-based weld fusion state estimation;IEEE Control Systems;1997-04

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