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Modeling and prediction of gear flank twist for generating gear grinding

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Abstract

Gear flank twist has a significant effect on the load-carrying capacity. However, most prediction models of gear flank twist cannot be applicable for gears with profile modification. A new method for predicting gear flank twist for the generating grinding process is developed in this paper, taking into consideration the effect of lead modifications, profile modifications, and position errors of CNC machine tools on gear flank twist. And the influences of four gear parameters on gear flank twist were studied using orthogonal experiments, which prove that the change of module has the greatest effect on gear flank twist. And the maximal profile modification value has minimal effect on gear flank twist. The experimental results proved that the model can accurately predict the gear flank twist. Besides, this paper described a gear parameter optimization study to reduce gear flank twist based on nine well-planned orthogonal experiments.

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Funding

This work was supported by the Key Technology Research and Development Program of Shandong Province (Grant numbers [2019JZZY010114]). Authors Jun Zhao and Zijian Zhang have received research support from the China National Heavy Duty Truck Group.

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Correspondence to Jun Zhao.

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Zhang, Z., Zhao, J., Pan, S. et al. Modeling and prediction of gear flank twist for generating gear grinding. Int J Adv Manuf Technol 121, 6751–6761 (2022). https://doi.org/10.1007/s00170-022-09765-1

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  • DOI: https://doi.org/10.1007/s00170-022-09765-1

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