Multi Objective Optimization of Planetary Gear Train

نویسندگان

  • Vipin K. Tripathi
  • Hiten M. Chauhan
چکیده

Planetary Gear Trains are extensively used for the power transmission. Large reduction in a small volume is possible with planetary gear trains. High efficiency – 95% per stage is common in planetary gear trains. For the automation of car parking systems helical gear box is used. But requirements of the gear box of these kind shall be compact in size and should have high efficiency. For these reasons in this paper a three stage planetary gear train is designed and optimized using Genetic Algorithm. Two objectives functions are considered, minimization of volume and maximization of efficiency. This process helps in finding the optimized design for planetary gear train which can give the same gear ratio within less volume and high efficiency.

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تاریخ انتشار 2010