Multi Objective Optimization of Long Hollow Simple Drive Shaft Under Multi-axial Non-Proportional Loading
Mohammad Baharvand,
Mohammad Pourmohammadi,
Mehran Felfeli
Issue:
Volume 3, Issue 3, June 2015
Pages:
17-24
Received:
8 May 2015
Accepted:
1 July 2015
Published:
10 July 2015
Abstract: This article investigates the effect of bearing Location and length on the shaft life under multi-axial non-proportional loading. The goal of this study is to increase long shaft life by deciding best location for bearing and its length. Loading condition and shaft properties was assumed according to helicopter. The most common case for this study observed in tail rotor of the Helicopter. Tail rotor drive shaft depended on helicopter type consist of 3 to 5 sections due to high length. Normally these sections assumed identical for simple production but it is shown that using non-identical sections is more proper than the other one. Optimization of shaft life and mass with design variable of the bearing locations and length is performed by ANSYS Workbench software and it is observed that these design variables have a major effect in objective functions. In the next step, we optimize maximum bearing pressure by two new advance methods named Genetic algorithm (GA) and Particle swam algorithm (PSO) and compare these algorithm abilities.
Abstract: This article investigates the effect of bearing Location and length on the shaft life under multi-axial non-proportional loading. The goal of this study is to increase long shaft life by deciding best location for bearing and its length. Loading condition and shaft properties was assumed according to helicopter. The most common case for this study ...
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