摘要
磨削表面质量直接影响面齿轮的使用性能。在正交面齿轮磨削正交试验结果的基础上,采用极差分析法,得出了砂轮转速n_s、工件进给速度v_w、磨削深度a_f对磨削表面粗糙度R_a的影响规律,并得到了参数优选方案;采用多元线性回归方法,建立了表面粗糙度与磨削参数之间的关系预测模型,实验验证了该模型具有较好的准确性。利用金相显微镜对面齿轮磨削表层金相组织进行检测分析,得到齿面残余奥氏体量实验设计矩阵及结果;采用二次响应曲面法,建立了磨削表面残余奥氏体量的预测模型,该模型检验的显著性明显,可对残余奥氏体量进行预控。
The surface quality of grinding has a direct influence on the performance of face gears.Based on the orthogonal experiment results of face gear grinding,the method of analysis of variance has been adopted to obtain the influence law of grinding wheel speed n_s,work-piece feed speed v_w and grinding depth a_f on grinding surface roughness R_a,thus proposing a parameter optimization scheme.By using multiple linear regression method,a prediction model of the relationship between surface roughness and grinding parameters has been established,with the experimental results testifying its better accuracy.An analysis has been made of the metallographic structure of the grinding surface of the gears,thus obtaining results of the experimental matrix and the residual austenite volume of the tooth surfaces.A prediction model of residual austenite on grinding surface can be established by adopting quadratic response surface method.With the residual austenite volume to be predicted,the model exhibits an obvious significance in testing.
出处
《湖南工业大学学报》
2017年第4期20-25,共6页
Journal of Hunan University of Technology
基金
国家自然科学基金资助项目(51375161)
湖南省自然科学基金资助项目(2017JJ4023)
关键词
面齿轮
正交试验
表面粗糙度
残余奥氏体量
磨削参数
face gear
orthogonal experiment
surface roughness
residual austenite amount
grinding parameter