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디젤엔진 피스톤용 SCM440 의 레이저 표면경화부의 잔류응력
이동석,유웅재,김재도 ( D . S . Lee,W . J . Yoo,J . D . Kim ) 한국열처리공학회 1995 熱處理工學會誌 Vol.8 No.3
SCM440, which is widely used as the diesel engine piston of vessel, has been hardened by a CO₂laser with the wavelength of 10.6㎛. Laser hardening experiment has been carried out for the condition of a laser power 1㎾, the travel speed between 0.4 and 1.5m/min, and a rectangular-Gaussian beam. Residual stress has been measured by using middle point technique of half value width of X-ray diffraction method. It was found that the compressive residual stress with the range between 400 and 600㎒ has distributed in the laser hardening zones and the tensile residual stress between 100 and 200㎒ has distributed in the boundary of hardening zones.
대형구조물 구동계통 실시간 시뮬레이션 모델 유도 및 연동 특성 분석에의 응용
김재훈,최영호,유웅재,유준,Kim, Jae-Hun,Choi, Young-Ho,Yoo, Woong-Jae,Lyou, Joon 한국군사과학기술학회 2000 한국군사과학기술학회지 Vol.3 No.1
A simulation model is developed to analyze the large-structure driving system and its integrated behavior in the whole weapon system. It models every component in the driving system such as mechanical and electrical characteristics, and it is programmed by simulation language in a way which strongly reflects the system's real time dynamics and reduces computation time as well. A useful parameter identification method is proposed, and it is tuned on the given physical system. The model is validated through comparing to real test, and it is applied to analysis and prediction of integrated system functions relating to the fire control system.
반도체공장 Clean Room에 대한 화재요인 분석 및 성능위주 화재안전설계
서장훈,심상용,유웅재 대한안전경영과학회 2006 대한안전경영과학회 학술대회논문집 Vol.2006 No.11
In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).