반응표면법과 유전자 알고리듬을 이용한 런플랫 타이어 최적화
기관명 | NDSL |
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저널명 | 한국소음진동공학회논문집 = Transactions of the Korean society for noise and vibration engineering |
ISSN | 1598-2785,2287-5476 |
ISBN |
저자(한글) | 최재형,강남철 |
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저자(영문) | |
소속기관 | |
소속기관(영문) | |
출판인 | |
간행물 번호 | |
발행연도 | 2015-01-01 |
초록 | Ride comfort is one of the major factors in evaluating the performance of the vehicle. Tire is closely related to the ride comfort of the vehicle as the only parts in contact with the road surface directly. Vertical stiffness which is one of the parameters to evaluate the tire performance is great influence on the ride comfort. In general, the lower the vertical stiffness, the ride comfort is improved. Research for improving the ride comfort has been mainly carried out by optimizing the shape of the pneumatic tire. However, demand for safety of the vehicle has been increased recently such as a run-flat tire which is effective in safety improvement. But a run-flat tire have trouble in practical use because of poor ride comfort than general tire. Therefore, In this paper, the research was carried out for improving the ride comfort through the optimization of the SIR shape inside a run-flat tire. Meta-model was generated by using the design of experiment and it was able to reduce the time for the finite element analysis of optimization. In addition, Shape optimization for improving the ride comfort was performed by using the genetic algorithm which is one of the global optimization techniques. |
원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=JAKO201525961547818 |
첨부파일 |
과학기술표준분류 | |
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ICT 기술분류 | |
DDC 분류 | |
주제어 (키워드) | 타이어,승차감,회귀 모델,최적화,유전자 알고리듬,Tire,Ride Comfort,Regression Model,Optimization,Genetic Algorithm |