Proceeding of EDISON Challenge (EDISON SW 활용 경진대회 논문집)
- 2016.03a
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- Pages.246-255
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- 2016
Optimal design of car suspension springs by using a response surface method
반응 표면 분석법을 활용한 자동차용 현가스프링 최적화 설계
- Yoo, Dong-Woo (Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology) ;
- Kim, Do-Yeop (Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology) ;
- Shin, Dong-Gyu (Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology)
- Published : 2016.03.22
Abstract
When spring of the suspension is exerted by an external load, a car should be designed to prevent predictable damages and designed for a ride comfort. We used experiments design to design VON-MISES STRESS and K, a constant, of spring of suspension which is installed in a car as a goal level. We analyzed the result from Edison's Elastic - Plastic Analysis SW(CSD_EPLAST) by setting D, d, n as external diameter of coil, internal diameter of coil, the number of total coil respectively. The experiment design let the outcome be as Full-second order by using Box-Behnken which is one of response surface methods. Experimented and analyzed results based on the established experiments design, We found out design parameter which has desired VON-MISES STRESS and the constant K. Additionally, we predicted life time of when the external load was exerted by repeated load by using fatigue equation, and verification of plastic deformation has also been made. Additionally we interpreted a model, which is formed by optimized design parameter, with linear analysis and non-linear analysis, at the same time we also analyzed plastic deformation with the values from the both models. Finally, we predicted fatigue life of optimized model by using fatigue estimation theory and also evaluated a ride comfort with oscillation analysis.
Keywords
- Suspension;
- Coil Spring;
- FEM;
- Structural Optimization;
- Response Surface Method;
- Box-Behnken Fatigue estimation;
- Plastic analysis;
- Non-lineaer/linear analysis;
- Natural frequency