Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference (한국윤활학회:학술대회논문집)
- 1999.11a
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- Pages.167-173
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- 1999
Genetic Algorithm Based Design of Beep Groove Ball Bearing for High-Load Capacity
유전자 알고리즘을 이용한 깊은 홈 볼 베어링의 고부하용량 설계
Abstract
This paper suggests a method to design the deep groove ball bearing for high-load capacity by using a genetic algorithm. The design problem of ball bearings is a typical discrete/continuous optimization problem because the deep groove ball bearing has discrete variables, such as ball size and number of balls. Thus, a genetic algorithm is employed to find the optimum values from a set of discrete design variables. The ranking process is proposed to effectively deal with the constraints in genetic algorithm. Results obtained fer several 63 series deep groove ball bearings demonstrated the effectiveness of the proposed design methodology by showing that the average basic dynamic capacities of optimally designed bearings increase about 9~34% compared with the standard ones.
Keywords
- Deep groove ball bearing;
- High-load capacity;
- Fatigue life;
- Discrete variable;
- Optimum design;
- Genetic algorithm