- 신경망을 이용한 클러치 기어의 정밀성형공법 개발
- ㆍ 저자명
- 강재영,김병민,김영환,김동환,Kang. Jae-Young,Kim. Byung-Min,Kim. Yeong-Hwan,Kim. Dong-Hawn
- ㆍ 간행물명
- 한국정밀공학회지
- ㆍ 권/호정보
- 2011년|28권 7호|pp.827-833 (7 pages)
- ㆍ 발행정보
- 한국정밀공학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
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.