Research on Intelligent Monitoring Technique of Machining State for Surface Grinder Based on Bayesian Network

China Mechanical Engineering ›› 2011, Vol. 22 ›› Issue (11): 1269-1273.

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Research on Intelligent Monitoring Technique of Machining State for Surface Grinder Based on Bayesian Network

Lin Feng1;Jiao Huifeng2;Fu Jianzhong2

1.Quzhou University, Quzhou, Zhejiang, 324000

2.The Zhejiang Province Key Lab of Advanced Manufacturing Technology, Zhejiang University,Hangzhou, 310027

Online:2011-06-10 Published:2011-06-17
Supported by:
National Science and Technology Major Project ( No. 2009ZX04001-131)

基于贝叶斯网络的平面磨削状态智能监测技术研究

林峰1;焦慧锋2;傅建中2

1.衢州学院，衢州，324000

2.浙江大学浙江省先进制造技术重点实验室，杭州，310027

基金资助:
国家科技重大专项(2009ZX04001-131)
National Science and Technology Major Project ( No. 2009ZX04001-131)

Abstract

Abstract:

In order to solve the problem of predicting workpiece quality and identifying blunt level of wheel in surface grinding, a Bayesian network model for monitoring grinding states of surface grinder was set up. The model can realize predict workpiece quality and identify blunt level of wheel by detecting kurtosis of acoustic emission with known grinding parameters and workpiece material. The results provide reference for NC system to optimize parameters. The technique obtains good effect by experiments on CNC surface grinder.

Key words: surface grinder, Bayesian network, acoustic emission, prediction of roughness

摘要：

为解决平面磨削过程中工件表面粗糙度预测和砂轮钝化监测困难的问题，利用贝叶斯网络建立了平面磨削状态智能监测模型。该模型在获取系统磨削用量和工件材料的基础上，在线提取磨削声发射信号的峭度系数，可以有效预测工件粗糙度和识别砂轮钝化状态，为数控系统调节加工参数提供参考。该模型在平面磨床的磨削监测试验中取得了良好的效果。



关键词:

平面磨削, 贝叶斯网络, 声发射技术, 粗糙度预测

CLC Number:

TG582

LIN Feng-1, JIAO Hui-Feng-2, FU Jian-Zhong-2.

Research on Intelligent Monitoring Technique of Machining State for Surface Grinder Based on Bayesian Network

[J]. China Mechanical Engineering, 2011, 22(11): 1269-1273.

林峰1, 焦慧锋2, 傅建中2.

基于贝叶斯网络的平面磨削状态智能监测技术研究

[J]. 中国机械工程, 2011, 22(11): 1269-1273.

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Research on Intelligent Monitoring Technique of Machining State for Surface Grinder Based on Bayesian Network

基于贝叶斯网络的平面磨削状态智能监测技术研究

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