지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.5
- 수록면
- 1,007 - 1,010 (4page)
이용수
초록· 키워드
오류제보하기
During the age of fuel economy, aerodynamic efficiency of ground vehicles takes more portion than ever. But aero items, or enablers, are limited because of many reasons. Thus improving the efficiency of current enablers is one of the most important issues to increase aerodynamic performance of the ground vehicles. In this paper, I will discuss about the efficiency of hood deflector. The part can change the whole aerodynamic characteristics of a ground vehicle, both drag and lift, with little change of its shape.
Aerodynamic benefit by hood deflector affects drag coefficient reduction. 0.01 drag reduction is generally regarded as 0.2mpg fuel save. Thus by only adding or modifying the hood deflector, more than 1mpg of fuel efficiency can be improved. Furthermore, if the shape of the parts can be optimized, aerodynamic characteristics can be largely changed.
To build or optimize 3-Dimensional shape of vehicle, millions of approximated points are needed. But optimizing a number of points is inefficient and almost impossible. So by using improved Vehicle-modeling function, can improve design efficiency for automobiles and other complex systems. Through control poles and various methods of superposition, the complex shape of a large-scale system can be defined by a set of spline curves by Bezier curves. To facilitate shape optimization, methods of shape representation have been widely investigated. As a result, an increase in the number of superposition functions occurs. To resolve this issue, Kulfan and Bussoletti represented the shape information of an object by exponential functions instead of a set of points to control streamline curves, and applied this method to the shapes of 2D wings, 3D wings, and aircraft bodies.
For Vehicle Modeling Function for hood deflector, total 10 variables are defined. Using D-optimal DOE method, total 98 cases are defined. The optimized models successfully showed improvement of aerodynamic characteristic of the vehicle. For further study, an optimization tool should be developed to adapt the hood deflector to other kinds of vehicles.
Aerodynamic benefit by hood deflector affects drag coefficient reduction. 0.01 drag reduction is generally regarded as 0.2mpg fuel save. Thus by only adding or modifying the hood deflector, more than 1mpg of fuel efficiency can be improved. Furthermore, if the shape of the parts can be optimized, aerodynamic characteristics can be largely changed.
To build or optimize 3-Dimensional shape of vehicle, millions of approximated points are needed. But optimizing a number of points is inefficient and almost impossible. So by using improved Vehicle-modeling function, can improve design efficiency for automobiles and other complex systems. Through control poles and various methods of superposition, the complex shape of a large-scale system can be defined by a set of spline curves by Bezier curves. To facilitate shape optimization, methods of shape representation have been widely investigated. As a result, an increase in the number of superposition functions occurs. To resolve this issue, Kulfan and Bussoletti represented the shape information of an object by exponential functions instead of a set of points to control streamline curves, and applied this method to the shapes of 2D wings, 3D wings, and aircraft bodies.
For Vehicle Modeling Function for hood deflector, total 10 variables are defined. Using D-optimal DOE method, total 98 cases are defined. The optimized models successfully showed improvement of aerodynamic characteristic of the vehicle. For further study, an optimization tool should be developed to adapt the hood deflector to other kinds of vehicles.
목차
Abstract
1. 서론
2. 해석조건
3. 형상 최적화
4. Optimization Results
5. 결론
References
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