外圆纵向磨削表面粗糙度的模糊预测与控制

doi:吉林省科技发展计划项目

吉林大学学报(工学版)

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Surface Roughness Prediction and Control of Cylinder Traverse Grinding Based on Fuzzy Logic

WANG Jiazhong¹^,²， WANG Longshan¹， LI Guofa1， DING Ning ³

1. College of Mechanical Science and Engineering, Jilin University, Changchun ; 2.College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding ； 3.College of Mechanical Engineering, Changchun University, Changchun

Received:2005-01-17 Revised:2005-02-28 Online:2005-07-01 Published:2005-07-01
Contact: WANG Longshan

Abstract

Abstract: A fuzzy prediction and control model for the surface roughness of cylinder traverse grinding was developed based on the experimental data and the expertise. A total of 12 variables which have effect on the grinding surface roughness were included, and the membership functions of the 7 major variables of them and their fuzzy rules were presented. The model can adjust the grinding parameters according to the variation of the grinding conditions and the workpiece parameters. Input of the model outputs into a fuzzy adaptive controller leads to the system to adjust realtimely the workpiece speed, getting the up to the requirements surface roughness. The experimental results showed that the developed fuzzy prediction and control model for the surface roughness is simple, effective and practical, and especially good for the nonlinear and multivariable conditions.

Key words: mechanical manufacturing engineering and equipment, cylinder traverse grinding, surface roughness, fuzzy prediction model, fuzzy control, adaptive control

CLC Number:

TH161.14

WANG Jiazhong， WANG Longshan， LI Guofa1， DING Ning . Surface Roughness Prediction and Control of Cylinder Traverse Grinding Based on Fuzzy Logic[J].吉林大学学报(工学版), 2005, 35(04): 386-390.

References

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