Analysis and optimization of the properties of the grinding contact line for form-grinding modified helical gears

The “tooth surface distortion” phenomenon is unavoidable when using the additional motion method for helical gear tooth axial modification. To solve this problem, the contact line morphology during helical gear grinding was evaluated by three indicators (the overrun, shift, and offset), and we established a multi-objective contact line optimization mathematical model with the grinding wheel mounting angle as the variable and solved it by a Bayesian regularized BP neural network. The experiments show that the optimized method can lessen the “tooth axial distortion” effects in the process of helical gear tooth axial modification, reduce grinding chatter, and improve grinding efficiency.