DocumentCode :
1733594
Title :
Approximation to the optimum design of a motorcycle frame using finite element analysis and evolutionary algorithms
Author :
Rodríguez, Jorge E. ; Medaglia, Andrés L. ; Casas, Juan P.
Author_Institution :
Dept. of Ind. Eng., Univ. de los Andes, Bogota, Colombia
fYear :
2005
fDate :
4/29/2005 12:00:00 AM
Firstpage :
277
Lastpage :
285
Abstract :
The design of the tubular frame of a chopper motorcycle is a challenging engineering problem due in part to the conflicting nature between the two main design criteria, namely, to minimize the frame mass and to minimize the maximum structural stress. The problem is even more complex under the presence of different kinds of decision parameters: discrete (e.g., standardized tube diameters available in the market) and continuous (e.g., angles and fillets). This project presents an optimization approach for the design of such frame topology based on evolutionary algorithms and employing finite element analysis for structural calculations. The proposed evolutionary algorithm deals with the two mentioned optimization objectives and the mixed decision parameters involved in the design. A communication routine between the structural simulation software and the evolutionary algorithm was developed to automate this hybrid technique. Frames obtained are compared to those of a previous study using a conventional design method, showing important progress in the frame´s performance.
Keywords :
design engineering; digital simulation; evolutionary computation; finite element analysis; mechanical engineering computing; motorcycles; structural engineering computing; chopper motorcycle; communication routine; evolutionary algorithm; finite element analysis; frame mass; frame topology; maximum structural stress; mixed decision parameters; motorcycle frame; optimization approach; optimum design approximation; structural calculation; structural simulation software; tubular frame; Algorithm design and analysis; Choppers; Design engineering; Design methodology; Design optimization; Evolutionary computation; Finite element methods; Motorcycles; Stress; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Information Engineering Design Symposium, 2005 IEEE
Print_ISBN :
0-9744559-4-6
Type :
conf
DOI :
10.1109/SIEDS.2005.193269
Filename :
1497162
Link To Document :
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