Dry hobbing has received extensive attention for its environmentally friendly processing pattern. Due to the absence of lubricants, hobbing process is highly dependent on process parameters combination since using unreasonable parameters tends to affect the machining performance. Besides, the consideration of tool life is frequently ignored in gear hobbing. Thus, to settle the above issues, a multi-objective parameters decision approach considering tool life is developed. Firstly, detailed quantitative analysis between process parameters and hobbing performance, i.e., machining time, production cost and tool life is introduced. Secondly, a multi-objective parameters decision-making model is constructed in search for optimum cutting parameters (cutting velocity v, axial feed rate \(f_{{\text{a}}}\)) and hob parameters (hob diameter d₀, threads z₀). Thirdly, a novel algorithm named multi-objective multi-verse optimizer (MOMVO) is utilized to solve the presented model. A case study is exhibited to show the feasibility and reliability of the proposed approach. The results reveal that (i) a balance can be achieved among machining time, production cost and tool life via appropriate process parameters determination; (ii) optimizing cutting parameters and hob parameters simultaneously contributes to optimal objectives; (iii) considering tool life provides usage precautions support and process parameters guidance for practical machining.

干式滚齿以其环保的加工方式受到了广泛的关注。由于没有润滑剂，滚齿加工高度依赖于加工参数的组合，因为使用不合理的参数会影响加工性能。此外，在滚齿中经常忽略刀具寿命的考虑。因此，为解决上述问题，开发了一种考虑刀具寿命的多目标参数决策方法。首先，详细介绍了工艺参数与滚齿性能之间的定量分析，即加工时间，生产成本和刀具寿命。其次，构建多目标参数决策模型以寻找最佳切削参数（切削速度v，轴向进给量\（f _ {{\\ t​​ext {a}}} \））和滚刀参数（滚刀直径d ₀，螺纹z ₀）。第三，提出了一种新颖的算法，称为多目标多宇宙优化器（MOMVO）来求解所提出的模型。案例研究表明了该方法的可行性和可靠性。结果表明：（i）通过适当确定工艺参数，可以在加工时间，生产成本和刀具寿命之间取得平衡；（ii）同时优化切削参数和滚刀参数有助于实现最佳目标；（iii）考虑到刀具寿命，可为实际加工提供使用预防措施支持和工艺参数指导。