首页|基于螺旋接触线的五轴侧铣刀具定位方法

基于螺旋接触线的五轴侧铣刀具定位方法

扫码查看
针对五轴侧铣加工非可展直纹面时刀具与设计曲面相互干涉的问题,提出了一种基于螺旋接触线的刀具定位方法.首先,基于Z-buffer法建立单个刀位下的误差解析模型,以评估刀具定位方法的优劣.其次,根据非可展直纹面的扭转特性,构造刀轴矢量的数学模型,同时分析刀具-工件接触线的性质及参数表达式.再次,考虑实际加工中的非线性加工误差,通过运动学变换对全局刀位进行路径插补优化.最后,基于改进两点偏置法、最小二乘法及所提出的方法进行仿真分析并对比3种方法所产生的误差,同时基于后2种方法进行实验验证.仿真和实验结果表明,所提出的方法能够有效减小侧铣加工中的原理误差,可为非可展直纹面的五轴侧铣加工提供一定的参考依据.
Five-axis flank milling tool positioning method based on spiral contact line
A tool positioning method based on spiral contact line is proposed to address the problem of mutual interference between tool and design surface during five-axis flank milling of undevelopable ruled surfaces.Firstly,an analytical error model under a single tool position was established based on the Z-buffer method to evaluate the advantages and disadvantages of the tool positioning method.Secondly,a mathematical model of the tool axis vector was constructed based on the torsional characteristics of the undevelopable ruled surfaces,and the properties and parametric expressions of the tool-workpiece contact line were analyzed.Thirdly,considering the non-linear machining errors in actual machining,the path interpolation optimization for the global tool position was carried out by kinematics transformation.Finally,the simulation analysis was conducted based on the improved two-point offset method,the least square method and the proposed method,and the errors generated by the three methods were compared,with the latter two methods being used for experimental verification.The simulation and experimental results show that the proposed method can effectively reduce the principle error in flank milling,which can provide a certain reference for five-axis flank milling of undevelopable ruled surfaces.

five-axis flank millingundevelopable ruled surfacespiral contact linepath optimizationprinciple error

李忠朋、张立强、刘钢

展开 >

上海工程技术大学 机械与汽车工程学院,上海 201620

机械工业航空大型复杂薄壁构件智能制造技术重点实验室,上海 201620

成都智远先进制造技术研究院,四川成都 610511

五轴侧铣 非可展直纹面 螺旋接触线 路径优化 原理误差

国家自然科学基金资助项目

51775328

2024

工程设计学报
浙江大学 中国机械工程学会

工程设计学报

CSTPCD北大核心
影响因子:0.694
ISSN:1006-754X
年,卷(期):2024.31(5)