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RISS 인기검색어
- 검색키워드
- 저자 : S. M. H. DARWISH (검색결과 2 건)
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A Uniquely Finned Tube Heat Exchanger Design of a Condenser for Heavy-Duty Air Conditioning Systems
Ahmad M. Abubaker,Yousef S. H. Najjar,Adnan Darwish Ahmad 대한설비공학회 2020 International Journal Of Air-Conditioning and Refr Vol.28 No.1
This study introduces the design of a novel condenser for air conditioning systems. Enhancement of performance of the system was manifested by increasing the coefficient of performance (COP), decreasing the pressure drop and the power consumed by the refrigerant compressor and the cooling water pump. The design consists of an adiabatic double-pipe heat exchanger with longitudinal rectangular fins. This model can enhance heat transfer coefficient and expose more area per unit length. This novel design supersedes other conventional condenser designs by 4.7% higher COP, 8.2% lower water pressure drop, 4.68% lower compressor power. Two refrigerants have been examined in the study; R-134a which is used in commercial and industrial chillers and R-1234ze which has low global warming potential.
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허승진,D. O. KANG,J. H. LEE,I. H. KIM,S. M. H. DARWISH 한국자동차공학회 2013 International journal of automotive technology Vol.14 No.3
This paper presents shape optimization of lower control arm considering multi-disciplinary (stiffness, strength and durability) constraint conditions. As non-linearity of strength and durability is large out of the design constraint conditions and performance indexes are defined as min-max values, sensitivity is not reflected and instead, a sequential approximate optimization (SAO) method using a meta-model is suggested. In order to verify the efficiency of the suggested design method,shape optimization design of a 1 piece-typed lower control arm for compact cars is conducted. The design target aims to meet the multi-disciplinary (stiffness, strength and durability) design constraint conditions and at the same time, intends to minimize the weight. Design variables are 3 shape vectors and 1 thickness while design constraint conditions include 2 stiffness, 12strength and 26 durability variables, featuring a big design problem. As a result, the design problem is solved in total 3interation and the optimal model meets all of the design constraint conditions and reduces the weight by about 200 grams comparing with that of the initial model. Thus, the suggested design method is an appropriate method suitable for shape optimization design.
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