Experimental investigation of a two-phase closed thermosyphon with Al2O3/R134a nanorefrigerant

被引:0
作者
Anand, R. S. [1 ]
Jawahar, C. P. [2 ]
Brusly Solomon, A. [3 ]
Bellos, Evangelos [4 ]
Ajay Vasanth, X. [1 ]
机构
[1] Karunya Inst Technol & Sci, Dept Mech Engn, Coimbatore, Tamil Nadu, India
[2] Amity Univ Madhya Pradesh, Dept Mech Engn, Gwalior, India
[3] Karunya Inst Technol & Sci, Dept Mech Engn, Ctr Res Mat Sci & Thermal Management, Coimbatore, Tamil Nadu, India
[4] Natl Tech Univ Athens, Sch Mech Engn, Thermal Dept, Athens, Greece
关键词
Thermal enhancement; Grey relation analysis; refrigeration; heat transfer; nanorefrigerant; thermosyphon; HEAT-TRANSFER PERFORMANCE; THERMAL-CONDUCTIVITY; REFRIGERANT; VISCOSITY; ENHANCEMENT; PIPE; NANOFLUID; SYSTEM;
D O I
10.1177/09544089221093975
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Nanorefrigerants are mixtures of refrigerant and nanoparticles, which enhance the heat transfer in both air-conditioning and refrigeration systems. In the present work, the nanorefrigerant Al2O3/R134a is applied in a two-phase closed thermosyphon in order to investigate its thermal performance. More specifically, the influence of the Al2O3/R134a on the thermal resistance and heat transfer coefficient for various heat inputs in a two-phase closed thermosyphon were investigated experimentally. The two-phase closed thermosyphon was tested by varying the concentration of Al2O3 nanoparticles from 0.5% up to 1.5% by weight basis in the usual refrigerant R134a. The results of the experimental investigations indicate that there is a significant enhancement in heat transfer by 93.2% when the nanoparticle concentration of 1.0% was used in R134a when compared to the thermosyphon tested with pure R134a. The nanorefrigerant in thermosyphon has reduced its thermal resistance significantly by 59%. The heat transfer coefficient obtained for nanorefrigerants in two-phase closed thermosyphon is validated by Cooper correlation. It is inferred from the study that the depositions of nanoparticles in the thermosyphon enhance heat transfer. A new correlation to predict the rate of heat transfer is also proposed for employing the nanorefrigerants in a two-phase closed thermosyphon. The predicted correlation, heat transfer coefficient and thermal resistance are optimized by using Grey Relation analysis by computing the grade between the minimum and maximum values obtained from the experimental results.
引用
收藏
页码:56 / 66
页数:11
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