Robust optimization in determining failure criteria of a planetary gear assembly considering fatigue condition

The paper presents a computational approach to predict the load withstanding capacity of a planetary gear assembly. The application of Taguchi’s Design of Experiment has been employed for obtaining a linear regression model to predict a nominal safety factor value, indicating the maximum applicable load of the gear assembly based on the chosen input parameters for reducing power transmission failure of the gear assembly leading to better performance during running condition. The application of this approach is to demonstrate the advantage of combining Taguchi’s method for Design of Experiment (DoE) with Computer Aided Engineering (CAE) to reach the desired solution.

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