Kinematic design of a double wishbone type front suspension mechanism using multi-objective optimization

Hwang, J. S., Kim, S. R. and Han, S. Y. (2007). Kinematic design of a double wishbone type front suspension mechanism using multi-objective optimization. In: Martin Veidt, Faris Albermani, Bill Daniel, John Griffiths, Doug Hargreaves, Ross McAree, Paul Meehan and Andy Tan, Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007). 5th Australasian Congress on Applied Mechanics (ACAM 2007), Brisbane, Australia, (788-793). 10-12 December, 2007.

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Author Hwang, J. S.
Kim, S. R.
Han, S. Y.
Title of paper Kinematic design of a double wishbone type front suspension mechanism using multi-objective optimization
Conference name 5th Australasian Congress on Applied Mechanics (ACAM 2007)
Conference location Brisbane, Australia
Conference dates 10-12 December, 2007
Proceedings title Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007)
Place of Publication Brisbane
Publisher Engineers Australia
Publication Year 2007
Year available 2008
Sub-type Fully published paper
ISBN 0 8582 5862 5
Editor Martin Veidt
Faris Albermani
Bill Daniel
John Griffiths
Doug Hargreaves
Ross McAree
Paul Meehan
Andy Tan
Volume 1
Start page 788
End page 793
Total pages 6
Collection year 2007
Language eng
Abstract/Summary A kinematic design of a double wishbone type front suspension mechanism was used to determine the optimal hardpoint positions while considering controllability and stability performances of a vehicle simultaneously. Various performance parameters were classified into two objective functions related to controllability and stability performances. A distance function method was implemented with multi-objective optimization. Multi-objective optimization was performed by using a genetic algorithm. When the multi-objective optimization consisted of the performance parameters related to only controllability or stability performances, variations of each performance parameter were minimized by emphasizing the importance of each performance parameter. It was concluded that multi-objective optimization using the distance function method is very effective for obtaining the optimal hardpoint positions of a suspension mechanism.
Subjects 290501 Mechanical Engineering
Keyword Controllability Performance
Genetic Algorithm
Performance Parameter
Stability Performance
Suspension Mechanism
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

 
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Created: Thu, 13 Mar 2008, 20:54:58 EST by Laura McTaggart on behalf of School of Engineering