저합금강 기어의 침탄 및 소입 공정에 대한 전산모사

이경호; 한정호; 김경수; 윤상대; 이영국

추천

검색

자료유형: 학술저널

저자정보: 이경호 (연세대학교 공과대학 신소재공학과) 한정호 (연세대학교 공과대학 신소재공학과) 김경수 (현대중공업[주]) 윤상대 (성보 P&T[주]) 이영국 (연세대학교 공과대학 신소재공학과)

저널정보: 한국열처리공학회 열처리공학회지 열처리공학회지 제28권 제6호

발행연도: 2015.1

수록면: 300 - 309 (10page)

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

The aim of the present study was to predict the variations in microstructure and deformation occurring during gas carburizing and quenching processes of a SCM420H planetary gear in a real production environment using the finite element method (FEM). The motivation for the present study came from the fact that previous FEM simulations have a limitation of the application to the real heat treatment process because they were performed with material properties provided by commercial programs and heat transfer coefficients (HTC) measured from laboratory conditions. Therefore, for the present simulation, many experimentally measured material properties were employed; phase transformation kinetics, thermal expansion coefficients, heat capacity, heat conductivity and HTC. Particularly, the HTCs were obtained by converting the cooling curves measured with a STS304 gear without phase transformations using an oil bath with an agitator in a real heat treatment factory. The FEM simulation was successfully conducted using the aforementioned material properties and HTC, and then the predicted results were well verified with experimental data, such as the cooling rate, microstructure, hardness profile and distortion.

#Carburizing #Quenching #Computational simulation #Heat treatment #Finite element method #Heat transfer coefficient #Distortion #Microstructure

참고문헌 (20)

참고문헌 신청

안민주 / 2011 / SCM계 기어의 열처리 효과에 관한 연구 / 한국기계가공학회지 10(2):84~89

M. J. Ahn / 2011 / The Korean Soc. Manuf. Process Eng 6:74~75

M. F. Yan / 2001 / Mater. Chem. and Phys 70:242~244

H. S. Lee / 1996 / Transactions of KSAE 11:19~24

G. Krauss / 1990 / Steels heat treatment and processing principles / ASM International Ohio :497

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!