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JKSPE : Journal of the Korean Society for Precision Engineering

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신경망을 이용한 클러치 기어의 정밀성형공법 개발

강재영, 김병민, 김영환, 김동환

Development of Forming Technology for Clutch Gear Using Artificial Neural Network

Jae Young Kang, Byung Min Kim, Yeong Hwan Kim, Dong Hawn Kim
JKSPE 2011;28(7):827-833.
Published online: July 1, 2011
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Precision forging of gears has a lot of advantages when compared to conventional gear shaping, because it allows the manufacture of gear parts without flash and consequently without the need for subsequent machining operations. In this study, the cold forging process is determined to manufacture the cold forged product for the precision clutch gear used of a commercial automobile. To do this, shape ratio of initial shape having influence the forgeability of forged product is analyzed. The optimal initial shape of clutch gear is designed using the results of DEFORM-3D and the artificial neural network (ANN). The initial shape through the detail analysis results, such as metal flow, distributions of strain can be obtained.

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Development of Forming Technology for Clutch Gear Using Artificial Neural Network
J. Korean Soc. Precis. Eng.. 2011;28(7):827-833.   Published online July 1, 2011
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

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Development of Forming Technology for Clutch Gear Using Artificial Neural Network
J. Korean Soc. Precis. Eng.. 2011;28(7):827-833.   Published online July 1, 2011
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