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The Optimal Preform Design for Automotive Differential Bevel Gear  

김병민 (부산대학교 정밀정형 및 금형가공연구소)
김동환 (진주국제대학교 자동차공학과)
정구섭 (진주국제대학교 자동차공학과)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.12, no.1, 2004 , pp. 184-189 More about this Journal
Abstract
In this paper, the warm forging process sequence has been determined to manufacture the warm forged product for the precision bevel gear used as the differential gear unit of a commercial automobile. The preform shape of bevel gear influences the dimensional accuracy and stiffness of final product. The aspect ratio and chamfer length are considered as design parameters to achieve adequate metal distribution in the finish forging operation. Then the optimal conditions of design parameters have been selected by artificial neural network (ANN). Finally, to verify the optimal preform shape, the experiments of the warm forging of the bevel gear have been executed. The proposed method can give more systematic and economically feasible means for designing the preform shape in metal forming process.
Keywords
Preform design; Artificial neural network; Bevel gear; Warm forging; Finite volume method;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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