Abstract

The chatter in the grinding process has a great influence in improving work piece surface quality and production efficiency. The formula of flutter system limit grinding depth and the rotating speed of the grinding wheel are induced based on the chatter theory and the chatter dynamitic model of the grinding system. The computer modeling and simulation are carried out to get flutter stability predicted picture. Finally the reliability and validity of the predicted picture are verified by the experiments. Flutter stability prediction method provides a theoretical basis in selecting the grinding process parameters for the machine processing operators and it also has an important meaning to the work piece surface quality and processing efficiency.

Highlights

  • In the grinding process, the vibration of the machine is inevitable

  • The chatter in the grinding process has a great influence in improving work piece surface quality and production efficiency

  • The formula of flutter system limit grinding depth and the rotating speed of the grinding wheel are induced based on the chatter theory and the chatter dynamitic model of the grinding system

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Summary

Introduction

The vibration of the machine is inevitable. The chatter caused by unstable grinding is an important factor influencing the processing quality. The regenerative chatter caused by grinding wheel and work piece affects the precision and surface roughness of the work piece and affects grinding efficiency. The production mechanism is very complex and it belongs to nonlinear vibration. According to stability theory analysis of cybernetics and prediction of stability domain of the regenerative chatter of the grinding system, this paper will establish the dynamic model, through the computer simulation to get stable prediction diagramthus to analyze the practicality of the prediction diagram by lots of experiments. It is of great importance to optimize the grinding parameters and improve the processing quality and production efficiency

The Establishment and Solution of Regenerative Chatter Model
The Stability Limit Diagram Establishment and Experimental Verification
Real-time Measures of Inhibiting Chatter
Conclusion
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