Abstract

This work aims to identify the key design components for lowering gearbox mass and raising gearbox efficiency by multi-target optimizing a two-stage helical gearbox (THG) with second-stage double gear sets (SSDGS). In the study, the Taguchi technique and grey relation analysis (GRA) were applied to handle optimization work in two phases. The single-target problem was addressed first to narrow the separation between variable levels, and then multi-target work was addressed to establish the best primary design variables. The first and second-stage CWFW coefficients, as well as the allowed contact stresses (ACS) and the gear ratio of the first stage, were computed. The outcomes of the study can be applied to determine the best values for the main essential design factors of a THG with SSDGS.

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