Title :
Optimization Design for Crank-rocker Mechanism Based on Genetic Algorithm
Author :
Yinghong Tang ; Zhongwei Liu ; Bing He
Author_Institution :
Sch. of Mech. Eng., Hunan Univ. of Technol., Zhuzhou, China
Abstract :
According to the design requirements of rocker expectation function, optimization design mathematical model of crank-rocker mechanism was firstly established and solved with MATLAB genetic algorithm toolbox. Then, virtual prototype model of four-bar linkage was set up, and rocker angle data of reproduction function was exported by means of ADAMS software. Finally, optimization results were verified by comparison chart between rocker expectation and rocker reproduction function curve made by MATLAB processing and graphic output function.
Keywords :
couplings; crankcases; genetic algorithms; mathematics computing; prototypes; shafts; ADAMS software; Matlab genetic algorithm toolbox; crank rocker mechanism; four-bar linkages; graphic output function; optimization design mathematical model; rocker expectation function; virtual prototype model; Couplings; Genetic algorithms; MATLAB; Mathematical model; Optimization; Presses; ADAMAS; Crank-Rocker Mechanism; Genetic Algorithm; MATLAB; Optimization Design;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.493
