摘要
基于SKH51高速钢磨削试验,利用最小二乘多元线性回归方法,推导并求解出了基于磨粒尺寸的表面粗糙度预测模型。基于求解出的粗糙度模型,利用序列二次规划优化方法针对企业实际的磨削问题,优选了合适型号的砂轮和磨削工艺参数。
Based on experiments of grinding for SKH51 high-speed steel, the prediction model of surface roughness based on abrasive particle size is established by using of regression analysis method of least square. Aiming at the actual grinding prob-lem in the enterprise, based on the model of surface roughness the appropriate model of grinding wheel and the optimal grind-ing parameters can be obtained by using of optimization method.
出处
《机械研究与应用》
2014年第4期118-120,124,共4页
Mechanical Research & Application
基金
广东省高等学校优秀青年教师培养计划资助项目(编号:Yq2013195)
关键词
磨粒尺寸
表面粗糙度
预测模型
磨削
优化
SKH51
abrasive particle size
surface roughness
prediction model
grinding
optimization
SKH51
