硬脆材料切削温度与材料属性仿真研究  

Simulation of Cutting Temperature and Material Property in Turning Hard Brittle Material based on ABAQUS

作　　者：骆勇真 谭福慧 段天禹 杨新院 李琛[1] 马廉洁[1] 

机构地区：[1]东北大学秦皇岛分校控制工程学院,河北秦皇岛066004 [2]首都航天机械公司,北京100074 [3]中国汽车工业工程有限公司,天津300113

出　　处：《新技术新工艺》2016年第1期49-52,共4页New Technology & New Process

基　　金：国家自然科学基金资助项目(51275083

摘　　要：基于ABAQUS仿真,研究了硬脆材料车削中切削温度与材料属性的关系;基于BP神经网络,对切削温度与材料属性的关系进行了预测,并进行了最小二乘拟合。结果表明,BP神经网络的预测结果与仿真值较为接近。随着密度的增大,切削温度呈下降趋势;随着比热容的增大,切削温度逐渐降低;切削温度随热导率的增大而减小。The relationship between the cutting temperature and the material properties is studied based on ABAQUS in turning hard brittle material.And the relationship between cutting temperature and material properties is predicted based on BP neural network.And the data is fitted by the least square.The results indicate that the BP neural network prediction values are close to the simulation values.With increasing of density,the tendency of cutting temperature is decline.With increasing of the specific heat capacity,cutting temperature is reduced gradually.And cutting temperature is decreased with increasing the thermal conductivity.

关 键 词：切削温度 材料属性 ABAQUS 车削 脆性材料 

分 类 号：TH161[机械工程—机械制造及自动化]