基于遗传算法的铣刀片三维复杂槽型重构技术

RECONSTRUCTION TECHNIQUE OF 3D COMPLEX GROOVE OF MILLING INSERT BASED ON GENETIC ALGORITHMS

为了获得切削性能更优良的可转位铣刀片槽型,从而改善铣刀片的温度场和应力场,进行了三维复杂槽型铣刀片的测温试验、三维温度场分析及其模糊综合评判。基于遗传算法,提出了以受热密度函数为目标函数,以温度场模糊综合评判为驱动的铣刀片三维复杂槽型的重构算法,获得了新的波形槽型。实例验证表明,新槽型较重构前的槽型在温度场方面具有更好的性能。利用该方法同样可以构造拟合其他类型三维复杂槽型。

The temperature measuring experiment, analysis of 3D temperature field and fuzzy comprehensive evaluation for temperature field are processed to obtain groove of indexable milling insert with better cutting performance to improve the temperature field and stress field of milling insert. Based on genetic algorithm and temperature field of milling insert and driven by fuzzy comprehensive evaluation of temperature field, the reconstruction algorithm of 3D complex groove of milling insert is presented as the heating density function being the target function. The new wave groove is obtained, and the groove reconstruction system is developed. The verification example shows that the new groove has better performance than before on temperature field. Other grooves could be reconstructed by this method.