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최진원,김동규,이승복 ( Jin Won Choi,Dong Gyu Kim,Sung Bok Lee ) 한국주조공학회 1995 한국주조공학회지 Vol.15 No.1
N/A The high temperature wear behavior of Ni-Grain roll materials applicated to finishing work rolls for hot strip mills has been investigated. Experiments have been conducted with hot rolling simulator up to 1.25 × 10⁴ revolutions, and the deterioration of roll surface was analysed. The procedures of the deterioration of roll surface were cleared. During the early stage of hot rolling, surface of work roll is covered with the even black film formed by oxidation of roll material at high temperature, followed by banding of the black film and then the wear resistant carbides surrounded with matrix are emerged by being worn out of the matrix during successive rolling. The emerged carbides induce the phenomina of sticking, rolling material stuck to roll surface, by the evolution of uneven friction heat and then the particles stuck on the roll surface are disappeared by the successive wear during hot rolling. v
건물의 실측 에너지 데이터를 통한 건물 에너지 소비 패턴 분류에 관한 연구
우혜지(Woo, Hei-Jee),최기원(Choi, Ki-Won),김현수(Kim, Hyeon Soo),어진선(Auh, Jin Sun),조수연(Cho, Soo Youn),백주미(Baek, Jumi),김기석(Kim, Gi-Seok),이승복(Leigh, Seung-Bok) 대한건축학회 2016 대한건축학회논문집 Vol.32 No.5
The pattern of energy consumption in a building varies based on its characteristic features and the behavior of the occupants; therefore, it is difficult to classify buildings in terms of energy consumption. This study used only outdoor temperature and energy consumption as a parameter to analyze the energy consumption by a building, and thus the approach is different from the conventional methods that use complex computer simulations, data on energy consumptions related to heating cooling, and energy audits etc. First, raw data on the operational schedules of the buildings and internal-external dependency factor are developed as the primary analytical data. The preferred analytical data were categorized into four categories: internal-external factors, energy consumption, operational condition of the building, and energy consumption by outdoor temperature. A matrix that can be used as a relative indicator of a building’s energy consumption in relation to its characteristics was also developed in this work. Using this energy pattern matrix, the obtained data could be used for retrofitting buildings, and a classification scheme based on the energy consumption pattern of buildings can be also prepared.