Volume 14, Issue 16 (Forth Special Issue 2015)
Modares Mechanical Engineering 2015, 14(16): 170-180 |
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Vakil-Tahami F, Hassannejad Qadim R, Rasoulian A. Pareto discrete- continuous optimization of Sikorsky ASH-3D helicopter main gearbox. Modares Mechanical Engineering 2015; 14 (16) :170-180
URL: http://mme.modares.ac.ir/article-15-8247-en.html
URL: http://mme.modares.ac.ir/article-15-8247-en.html
1- Associate professor, University of Tabriz
2- Assistant professor, University of Tabriz
3- Student, University of Tabriz
2- Assistant professor, University of Tabriz
3- Student, University of Tabriz
Abstract: (5805 Views)
Nowadays, optimization is becoming one of the most important techniques in engineering and industry to provide competing products in design and manufacturing. Therefore, it is a necessity to search for optimum designs with productibility. In aerospace industry reducing weight and improving reliability of the products are major concerns. As regards the gearbox is one of the most important parts in the helicopter propulsion system, these objects should be more considered. However, most of the existing designs consider only one object, hence, it is vital to implement optimization techniques to include different objectives to improve the existing designs and provide optimum products. In this paper, optimum design parameters including module and face width of gears for the main gearbox of Sikorsky ASH-3D helicopter have been determined (modified) using single and multi-objective mixed discrete- continuous optimization method to minimize weight of the gearbox, increase the safety factor and reduce the difference between safety factors of different gears. The results show that the weight of the gears can be reduced by 27.24% comparing with the existing gearbox. The results of the multiobjective optimization have also been presented as Pareto front diagram wich can be used by the manufacturers to satisfy the prefered requiments.
Keywords: Helicopter Gearbox, Fatigue, Weight, Discrete- Continuous Multi-Objective Optimization, Pareto front
Article Type: Research Article |
Subject:
Creep, Fatigue & Failure
Received: 2014/04/17 | Accepted: 2014/06/9 | Published: 2014/11/8
Received: 2014/04/17 | Accepted: 2014/06/9 | Published: 2014/11/8
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