基于表面完整性灰色关联度分析的16Cr3NiWMoVNbE齿轮磨削工艺优化研究

Optimum on grinding parameter for 16Cr3NiWMoVNbE aircraft gear by grey correlation analysis of surface integrity

  • 摘要: 为满足航空齿轮抗疲劳与耐磨损性能需求,围绕磨削加工表面完整性展开深入研究。以典型难加工材料16Cr3NiWMoVNbE渗碳航空齿轮为研究对象,通过设计磨削工艺正交试验,研究了影响表面粗糙度与残余应力等关键指标的主要磨削参数,并采用灰色关联度分析方法实现了多目标工艺参数的全局优化。结果表明,径向进给是影响表面粗糙度的主要因素;残余压应力分布呈现齿面节圆 ≈近齿顶>齿根,其中进给速度对齿顶和齿面残余应力影响显著,线速度与径向进给主导齿根残余应力变化。基于熵权法赋权的灰色关联分析表明,径向进给对表面完整性综合影响权重最大,兼顾低粗糙度与高残余压应力的最佳工艺组合为最大处线速度24 m/s,进给速度1 000 mm/min,径向进给0.007 mm。

     

    Abstract: To address the fatigue resistance and wear resistance requirements of aviation gears, this study investigates the surface integrity of grinding processes. Focusing on a representative difficult-to-machine material 16Cr3NiWMoVNbE carburized aviation gears, orthogonal grinding experiments were designed to analyze key parameters affecting surface roughness and residual stress. Multi-objective process optimization was achieved through grey relational analysis. The results showed that radial feed dominates surface roughness variation. Residual compressive stress distribution follows tooth pitch ≈ tooth tip > tooth root, with feed rate significantly affecting tooth tip and tooth pitch stress while linear speed and radial feed govern root stress. Entropy-weighted grey relational analysis revealed radial feed exerts the greatest comprehensive influence on surface integrity. The optimal parameter combination balancing low roughness and high compressive stress was determined as: maximum linear speed 24 m/s, feed speed 1 000 mm/min, and radial feed 0.007 mm.

     

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