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        검색결과 3

        1.
        2017.04 구독 인증기관·개인회원 무료
        The refrigerant temperature of a compressor increases due to heat generated in the discharge chamber and the motor. The increase of the suction temperature raises the superheat resulting in EER reduction. Thus, accurate superheat prediction is needed for the design of an efficient compressor. In this paper, the unsteady flow analysis is performed using CFD to predict the superheat. The results show that the suction temperature increases by about 26 °C which agrees well with the experiments.
        2.
        2017.04 구독 인증기관·개인회원 무료
        Abstract The increase of the superheat is one of several factors adversely affecting the efficiency of the refrigeration cycle. To this end, it is important to release the heat inside the compressor. Therefore, in this paper, we have increased the convective heat transfer coefficient inside the compressor by utilizing the vibration of the moving part of the compressor. The results show that reducing the gap between the shell and the moving part increases the flow velocity in the gap resulting in the increase of convective heat transfer coefficient.
        3.
        2013.04 KCI 등재 구독 인증기관 무료, 개인회원 유료
        In this paper, the current of ECV block is connected to compressor crankcase on which the Pc port of Ps port Euro is formed(Type-1). Pc Port Internal Bellows are supposed to be affected by changes at the flow of refrigerant to the solenoid valve inside inhalation. There is Ps port at the direction of flow characteristic in predicting and analyzing. At suction pressures of 0.2MPa and 1.5MPa, maximum flow rates become 46m/s and 129m/s respectively. The refrigerant is discharged by compressor rotation around the axis of rotation from the inflow of port(Pd)(Type-2). By predicting and analyzing inlet flow, suction pressures become 2.7MPa and 3.6 MPa when maximum flow rates of 177.5m/s and 205m/s are affected on Pc ports of Euros with pressures of 1.2KPa and 3.8KPa respectively. This study result can be applied as the basic data for design of ECV.
        4,000원