Multi-objective optimization of gear unit design to improve efficiency and transmission error

• Macro and micro-geometry parameters are used as decision variables. Study of the impact taking complete transmission by two approaches. The using a genetic algorithm NSGA-II. This study aims to implement multi-objective optimization gear unit in order minimize power loss vibrational excitation generated meshing, via multi-scale approach that extends from contact transmission. All these indicators closely linked macro definition pair. is carried out algorithm, namely Non-Dominated Sorting Genetic Algorithm II (NSGA-II). design variables chosen for problem pressure angle helix angle, macro-geometry characteristics gear, and/or length amount tooth profile modifications, gear. Constraints imposed not exceed maximum bending stress at root fall below minimum total ratio. From results obtained, it found with both micro simultaneously gives different than those obtained first then parameters. In importance, or not, take into account unit, comparison made between local friction single stage terms values.