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Study on The Self-Adaptive Forecast and Optimal Control Method for Grinding Wheel Infeed

Journal Key Engineering Materials (Volume 329)
Volume Advances in Abrasive Technology IX
Edited by Dongming Guo, Tsunemoto Kuriyagawa, Jun Wang and Jun’ichi Tamaki
Pages 87-92
DOI 10.4028/www.scientific.net/KEM.329.87
Citation Gui Jie Liu et al., 2007, Key Engineering Materials, 329, 87
Online since January, 2007
Authors Gui Jie Liu, Ning Mei, Ya Dong Gong, Wan Shan Wang
Keywords Grinding Quality, Grinding Wheel, Self-Adaptive & Optimal Control, Wheel Infeed
Abstract

A self-adaptive forecast & optimal control method for grinding wheel in-feed is presented, it can control grinding wheel plunge by using the new program of grinding process, and can compensate availably the size errors produced by the elasticity deflection of the grinding system and the deference of work-pieces rough and the wear of the grinding wheel, et al. The result of computer simulation and real testing indicate that this method can improve grinding quality.

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