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Optimization design of lateral force balance of PDC bits by genetic alg(?ithm |
SONG Xun-cheng, ZOU De-yong
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(College of Petroleum Engineering in China University of Petroleum,Dongying 257061,Shandong Province,China)
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Abstract: |
While optimizing PDC bits structures in terms of the lateral-force balance, the number of objectives to be optimized for a scatter-arranged bit is much more than that of a blade one, thus the searched scope for the optimum solution grows at exponential scale. In order to break the limit to optimization design of lateral force balance from bit structures, a new optimization design method by genetic algorithm was developed, which employed algorithms of proportional selection, single point crossover, uniform mutation and generation communication. A blade bit and a scatter one were optimized by this method. The ratio of lateral force to weight on bit is less than 1/1000. The convergence rate of the method is rapid, and its computational complexity is not affected by the number of blades or cutters too much. |
Key words: genetic algorithm PDC bit lateral force balance design |
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