硬脆材料切削温度与材料属性仿真研究
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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.
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.
引文
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[2]Gebhardt A,Hoche T,Carl G,et al.TEM study on the origin of cabbage-shaped mica crystal aggregates in machinable glass-ceramics[J].Acta Materials,1999,47(17):4427-4434.
[3]刘有荣,刘家浚.陶瓷刀具切削区温度场的计算机模拟[J].摩擦学学报,1997,17(1):81-88.
[4]刘薇娜,杨立峰.切削过程中刀具后刀面磨损预测的计算机模拟[J].农业机械学报,1997,28(4):147-151.
[5]李彬,邓建新,段振兴,等.考虑材料与摩擦特性的切削温度场仿真与试验[J].机械工程学报,2010,46(21):106-112.
[6]王璐,欧瑾,王曙光,等.ABAQUS软件在弹性滑移支座非线性有限元分析中的应用[J].南京工业大学学报:自然科学版,2010,32(4):49-53.