Title :
Optimization Design of Spur Gear Reducer Based on Genetic Algorithm
Author :
Zhang Xiao-qin ; Hu Zhan-qi ; Lun Cui-Fen ; Yu Jing-jing
Author_Institution :
Coll. of Mech. Eng., Yan Shan Univ., Qinhuangdao, China
Abstract :
Gear reducer is one of the most widely used methods in mechanical transmission, optimization of which is of great significance in improving the bearing capacity, prolonging service life and reducing its size and quality. By Visual Basic programming mixed with MATLAB, automatic optimization design for gear reducer is realized in the paper, design efficiency and quality greatly improved. Genetic algorithm and genetic toolbox of MATLAB is used when calculating, with the advantages of simple programming, good reliability and high efficiency.
Keywords :
Visual BASIC; gears; genetic algorithms; mathematics computing; mechanical engineering computing; reliability; MATLAB; Visual Basic programming; automatic optimization design; bearing capacity; genetic algorithm; mechanical transmission; reliability; spur gear reducer; Gears; Genetics; MATLAB; Optimization; Programming; Shafts; Teeth;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5661361
