摘要
获得铣刀切削态下的三维温度场是进行热管铣刀散热基本结构优化设计的前提条件,然而目前还没有技术可以直接测量到刀体的三维温度场。对此首先建立切削态下铣刀三维非稳态温度场数值仿真模型,基于计算机仿真得到不同加载热流密度下铣刀仿真模型上点i1的时间—温度曲线,通过实验模拟切削态下在铣刀上加载热流,得到不同加载热流密度下铣刀体上对应仿真模型点i1的实体测温点i的时间—温度曲线,把两种方式获得的温度—曲线进行拟合,发现输入载荷一致时,两曲线的拟合度最好。进行切削测温实验,把点i的温度曲线与仿真模型点i1的温度曲线拟合,拟合度最高的仿真温度—曲线对应的加载热流密度为该切削工艺条件的加载热流密度。把切削实验的边界条件、初始条件和基于拟合方式获得的加载热流密度输入仿真模型,最后获得该切削工艺条件下铣刀的三维仿真温度场。
Obtaining the three-dimensional temperature field in milling state is a prerequisite for optimizing the cooling structure of heat-pipe milling cutter; however,there is no technology can directly measure the three-dimensional temperature field of the milling cutter body currently. In this regard,the numerical simulation model of milling three-dimensional unsteady temperature field is established initially,and basing on computer simulation,the time-temperature curve of the point i1 on the milling cutter simulation model is obtained under the different loading heat flux. The heat flux loading on milling cutter is simulated through cutting experiments,and the time-temperature curve of point i,a temperature measurement point on the body of milling cutter corresponding to i1 on the simulation model,is obtained under different loading heat flux,and the time-temperature curves acquired by the two ways are fitted,founding when the input loads are consistent,the two curves' fitting is the best. Furthermore,in the cutting temperature experiments,the two time-temperature curves of point i1 and point i are fitted,and the loading heat flux having the highest fitting degrees of the curves are determined as the real loading heat flux under this cutting conditions. Finally,the boundary conditions of cutting experiments,initial conditions and loading heat flux obtained based on fitting are input to the simulation model so as to get the milling cutter's three-dimensional simulation of temperature field under these processing conditions.
出处
《工具技术》
北大核心
2015年第5期17-21,共5页
Tool Engineering
基金
国家自然科学基金"面向绿色切削的热管刀具技术研究"(50975092)
关键词
热管刀具
温度场
参数优化
绿色切削
heat pipe cutter
temperature field
parameter optimization
green machining