GEAR DESIGN OPTIMIZATION USING GENETIC ALGORITHM
Ayman Fouad Ibrahim Gemaii;
Abstract
Key Words:
Gear design, optimization, genetic algorithm GA, helical gear, worm gear.
Summary:
Gears are one of the most important mechanical devices used for power transmission. Gear design optimization holds a wide concern in mechanical design for cost reduction and better performance. Gear design is a complex optimization problem; as it contains continuous, discrete, and integer design variables, rather than large number of design constraints making conventional optimization methods, depending on functions derivations and an initial starting point, inapplicable to solve such problems. In this thesis, GA is used, in addition to MATLAB as an optimization tool, to solve optimization gears design problems to minimize the volume of helical gear train, and to minimize worm gear power losses. Optimization design codes are written and final results are showed and discussed to show GA implementation effect on gear design.
Acknowledgments
I would like to express my deep heartily gratitude and sincere appreciation to Dr. Hesham A. Hegazi;Associate Professor of machine design/mechanical design and production engineering departmentFaculty of Engineering, Cairo University, for his direct supervision of this work and helpful discussion and advises. I also like to thank him for giving all the necessary information, education materials, and consultation during this work.Special thanks to Prof. Dr.Prof. Tarek Abdel Sadek Othman, and Prof. Dr. Mohamed Mahmoud Youssef.
Also, I would like to thank all my previous Professors and Doctors in Helwan University/Faculty of Engineering/Mechanical Design & Production Dept., and all Professors and Doctors in Cairo University/Faculty of Engineering/Mechanical Design & Production Dept.
Gear design, optimization, genetic algorithm GA, helical gear, worm gear.
Summary:
Gears are one of the most important mechanical devices used for power transmission. Gear design optimization holds a wide concern in mechanical design for cost reduction and better performance. Gear design is a complex optimization problem; as it contains continuous, discrete, and integer design variables, rather than large number of design constraints making conventional optimization methods, depending on functions derivations and an initial starting point, inapplicable to solve such problems. In this thesis, GA is used, in addition to MATLAB as an optimization tool, to solve optimization gears design problems to minimize the volume of helical gear train, and to minimize worm gear power losses. Optimization design codes are written and final results are showed and discussed to show GA implementation effect on gear design.
Acknowledgments
I would like to express my deep heartily gratitude and sincere appreciation to Dr. Hesham A. Hegazi;Associate Professor of machine design/mechanical design and production engineering departmentFaculty of Engineering, Cairo University, for his direct supervision of this work and helpful discussion and advises. I also like to thank him for giving all the necessary information, education materials, and consultation during this work.Special thanks to Prof. Dr.Prof. Tarek Abdel Sadek Othman, and Prof. Dr. Mohamed Mahmoud Youssef.
Also, I would like to thank all my previous Professors and Doctors in Helwan University/Faculty of Engineering/Mechanical Design & Production Dept., and all Professors and Doctors in Cairo University/Faculty of Engineering/Mechanical Design & Production Dept.
Other data
| Title | GEAR DESIGN OPTIMIZATION USING GENETIC ALGORITHM | Other Titles | التصميم الامثل للتروس باستخدامالخواريزمات الجينية | Authors | Ayman Fouad Ibrahim Gemaii | Issue Date | 2017 |
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