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멜트블로운 부직포를 이용한 전열교환소자의 특성 연구 (II) -폴리프로필렌과 나일론 멜트블로운 부직포 특성 고찰-
이창환,이종현,권은희,이경주,손은종,김성훈,Lee, Chang-Hwan,Lee, Jong-Hyun,Kwon, Eun-Hee,Lee, Kyung-Ju,Son, Eun-Jong,Kim, Seong-Hun 한국섬유공학회 2010 한국섬유공학회지 Vol.47 No.6
An enthalpy exchanger made from meltblown was prepared by a range of physical treatments to identify the production potential, and its characteristics were compared with an enthalpy exchanger based on polypropylene (PP). SEM revealed excellent compatibility between nylon and PVA. Various measurements were carried out as a function of the calendering temperature and speed, content of moisture absorbent, and concentration of water soluble polymer. The optimum conditions for the enthalpy exchanger made from nylon meltblown were as follows: a calendering temperature of $124^{\circ}C$, calendering speed of 2 m/min, and pick-up of 8~10%. The tensile strength of nylon was higher than that of the PP materials. In conclusion, nylon melt-blown nonwoven has greater potential than PP melt-blown nonwoven and can be used as a substitute in commercial paper type heat exchangers.
이창환,이준희,이경주,박근후,김성훈,Lee, Chang-Hwan,Lee, Jun-Hee,Lee, Kyung-Ju,Park, Keun-Hoo,Kim, Seong-Hun 한국섬유공학회 2010 한국섬유공학회지 Vol.47 No.2
To obtain high performance microfiber knit wiping cloth used for manufacturing electronic devices benzyl alcohol pretreatment method was optimized. WAXD patterns of the PET, nylon and nylon/polyester filament fibers pretreated with benzyl alcohol showed stronger crystalline peak than 50d/14f fibers. Some properties including wiping efficiency of the wiping cloths made of 75d/36f filament fibers of nylon/PET(N/P) and the ones made of 50d/14f fibers were tested and compared. Results showed that water absorption rate of the former was higher than that of the latter. The former showed excellent removing efficiency of approximately 90% compared to 60% for the latter. Air particle counter analysis revealed that the former has less residue content than the latter.
이창환,Lee, Chang-Hwan 한국정보처리학회 1999 정보처리논문지 Vol.6 No.2
Inheritance reasoning has been widely used in the area of common sense reasoning in artificial intelligence. Although many inheritance reasoners have been proposed in artificial intelligence literature, most previous reasoning systems are lack of clear semantics, thus sometimes provide anomalous conclusions. In this paper, we describe a set-oriented inheritance reasoner and propose a method of resolving conflicts with clear semantics of defeasible rules. The semantics of default rule is provided by statistical analysis of $\chi$ method, and likelihood of rule is computed based on the evidence in the past. Two basic rules, specificity and generality, are defined to resolve conflicts effectively in the process of reasoning. We show that the mutual tradeoff between specificity and generality 추 prevent many anomalous results from occurring in traditional inheritance reasoners. An algorithm is provided. and some typical examples are given to show how the specificity/generality rules resolve conflicts effectively in inheritance reasoning.