Title :
Cosimulation environment for mechanical design optimization with evolutionary algorithms
Author :
Ahmed, Mariwan ; Oekermann, Christian ; Kirchner, Frank
Author_Institution :
Robot. Innovation Center, German Res. Center for Artificial Intell. (DFKI), Bremen, Germany
Abstract :
In this paper, we present a cosimulation environment that seamlessly integrates design and simulation tools used for mechanical parts design and optimization. The proposed environment enables use of tools from different vendors in addition to the developer´s own developed tools. This way, the individual parts or components of the mechanical assembly no longer need to be designed, simulated, and optimized apart from each other. Furthermore, integrated cosimulation facilitates developing the integration methodology for the design, test and parameter optimization of these components. Within the presented environment, an evolutionary optimization method is applied to a novel four bar steering mechanism. It is used to evolve its morphology that requires minimal steering forces. A precise cosimulation is used to dynamically model the assembly, all constraints, and to evaluate each morphology by analyzing the required forces for accomplishing a desired steering maneuver.
Keywords :
assembling; automobile industry; electric vehicles; evolutionary computation; mechanical engineering; simulation; cosimulation environment; evolutionary algorithms; mechanical assembly; mechanical design optimization; mechanical parts design; parameter optimization; Assembly; Design automation; MATLAB; Mathematical model; Robots; Solid modeling; Three-dimensional displays; Electric Vehicle; Evolutionary Algorithms; Mechanical Design; Optimization; Steering; nonlinear systems; simulation;
Conference_Titel :
Computer Applications & Research (WSCAR), 2014 World Symposium on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-2805-7
DOI :
10.1109/WSCAR.2014.6916781