P20模具钢的表面粗糙度预测模型
Prediction model for surface roughness of P20 mold steel
陈小梅 1黄惠2
作者信息
- 1. 福州职业技术学院 机电工程学院,福建 福州 350108
- 2. 福州大学 机械工程及自动化学院,福建 福州 350108
- 折叠
摘要
为改进P20模具钢高速铣削加工时表面质量,提高加工效率,选取影响粗糙度的切削参数作为试验因子进行正交实验,确定了进给量ƒ、切削速度v和切削深度ap对表面粗糙度的影响.基于TiAlN涂层刀具铣削P20模具钢的试验结果,建立表面粗糙度多元线性回归数学模型,并对回归方程和回归系数进行显著性检验;最后将模型预测值与实验数据进行对比验证.结果表明,粗糙度平均误差为3.3%,具有较高的可信度.该模型能为高速、高效干切削P20模具钢提供数据和理论支持.
Abstract
Abstrat:To improve the surface quality and machining efficiency of high-speed milling P20 mold steel,the cutting parameters affecting the roughness were selected as the experimental factors for orthogonal experi-ments,and the influence trend of feed rateƒ,cutting speed v and cutting depth ap on the surface roughness was determined.Based on the test results of milling P20 mold steel with TiAlN coated tools,a multivariate linear re-gression mathematical model of surface roughness is established,and the regression equation and regression co-efficient are explicitly tested.Compared with the experimental data,the average error rate of roughness is 3.3%,which has high credibility.The results show that the model can provide data and theoretical support for high-speed,efficient and dry cutting of P20 mold steel,and has important practical application value and theo-retical significance.
关键词
P20模具钢/表面粗糙度/正交实验/多元线性回归Key words
P20 mold steel/surface roughness/orthogonal experiment/multiple linear regression引用本文复制引用
基金项目
国家自然科学基金项目(52105053)
福州职业技术学院产学合作开发项目(FZYKJJJCX202202)
出版年
2024
NETL
NSTL
万方数据