Modeling and Parameter Optimization of Flexible NC Polishing Vibration of Abrasive Cloth Wheel Based on Sensitivity Analysis

Xiaojun Lin,Rui Yang,Zhaozhao Lei,Luzhou Sun,Xiaopeng Xin

doi:10.1155/2020/5279460

Abstract

The blisk is a typical cantilever beam structure, which is prone to vibration during the polishing process. This vibration will cause the polishing tool to wear seriously and reduce the surface quality of the blade.In order to control the vibration of polishing process, a method of predicting the RMS (root mean square) value of polishing vibration signal was proposed. Firstly, an empirical model of process parameters for polishing vibration was established by an orthogonal experiment. Then, based on the response surface and sensitivity analysis method, the stability range of the process parameters and the influence on the polishing vibration are obtained. Finally, through the polishing experiment, it is determined that the stable range of each process parameter is reliable. There is no significant vibration during the polishing process. By analyzing the surface texture and surface topography of the blade, the surface quality of the blade meets the requirements. The results showed that the optimal stability ranges of significant parameters through sensitivity analysis are compression depth within [0.6 mm, 0.9 mm], spindle speed within [6000 r/min, 7500 r/min], feed rate within [0.4 mm/min, 0.6 mm/min], and granularity within [400#, 600#]. This study provides a basis for the theoretical research of polishing vibration in the flexible polishing process and the relationship between process parameters and polishing vibration.

Highlights

In the process of polishing the blisk, the polishing vibration will be produced due to the unsuitable process parameters
How to choose the appropriate process parameters to reduce the vibration during the polishing and improve the stability of the polishing process is a critical issue. erefore, taking the abrasive cloth wheel polishing as the research object, the empirical model of polishing vibration was established by regression analysis of polishing experimental data, and the sensitivity analysis of the model was carried out, and the stability range of the process parameters was obtained. e experimental results show that the empirical model of polishing vibration can effectively predict the RSM value of polishing vibration signal, and within the stable range polishing can improve the stability of the polishing process and the surface quality of the blade
The empirical model between the RMS value of the polishing vibration signal and the process parameters is obtained by the orthogonal experimental regression modeling method. e sensitivity analysis of the empirical model is carried out to obtain the stable range of the process parameters. e analysis results are as follows: (1) An orthogonal test scheme was established by the polishing test, and the experimental data were subjected to regression analysis to obtain the empirical model of the RMS value of polishing vibration. e relative sensitivity analysis of the model shows that the order of influence of each process parameter on the RMS value of polishing vibration was as follows: compression depth, spindle speed, granularity, and feed rate

Summary

Introduction

In the process of polishing the blisk, the polishing vibration will be produced due to the unsuitable process parameters. E change of the polishing force causes the vibration ripple to increase, and the surface roughness of the blade increased. To prevent large vibration during polishing and improve the stability of the polishing process and the surface quality of blades, it is necessary to study the vibration during the polishing process. Erefore, taking the abrasive cloth wheel polishing as the research object, the empirical model of polishing vibration was established by regression analysis of polishing experimental data, and the sensitivity analysis of the model was carried out, and the stability range of the process parameters was obtained. E experimental results show that the empirical model of polishing vibration can effectively predict the RSM value of polishing vibration signal, and within the stable range polishing can improve the stability of the polishing process and the surface quality of the blade How to choose the appropriate process parameters to reduce the vibration during the polishing and improve the stability of the polishing process is a critical issue. erefore, taking the abrasive cloth wheel polishing as the research object, the empirical model of polishing vibration was established by regression analysis of polishing experimental data, and the sensitivity analysis of the model was carried out, and the stability range of the process parameters was obtained. e experimental results show that the empirical model of polishing vibration can effectively predict the RSM value of polishing vibration signal, and within the stable range polishing can improve the stability of the polishing process and the surface quality of the blade

Methods

Results

Conclusion