Comparison of Prediction Models of Spline Cold Roll-beating Surface Roughness

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Cui, Feng Kui^1 ; Liu, Fei^1 ; Su, Yong Xiang^1 ; Liu, Li Bo^1

School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang

471003, China^1

关键词: Compare and analyze;    Gray prediction;    Prediction accuracy;    Prediction model;    Response surface method;    Roughness predictions;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/3/032009/pdf
DOI  :  10.1088/1757-899X/382/3/032009

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In order to improve the spline cold roll-beating surface roughness and surface quality, spline cold roll-beating test was taken according to cold roll-beating forming principle. The response surface method and gray prediction method were used to construct the prediction model of cold roll-beating surface roughness of spline and to verify the prediction model, compare and analyze two methods of constructing prediction model. The results shows: response surface method to build spline cold roll-beating surface roughness prediction model is simple and has a high prediction accuracy.