Numerical investigation of non-Newtonian water-CMC/CuO nanofluid flow in an offset strip-fin microchannel heat sink: Thermal performance and thermodynamic considerations
Creators
- 1. Department of Automotive and Marine Engineering Technology, College of Technological Studies, The Public Authority for Applied Education and Training (Kuwait)
- 2. Department of Mechanical Engineering, Kermanshah University of Technology, Kermanshah (Iran, Islamic Republic of)
- 3. Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria (South Africa)
- 4. Department of Mechanical Engineering, Obafemi Awolowo University, Ile-Ife (Nigeria)
- 5. Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City (Viet Nam)
- 6. Division of Computational Physics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City (Viet Nam)
Description
Highlights: • A hybrid nanofluid containing coated CNT/Fe3O4 nanoparticles is considered. • Forced convection of nanofluid in a microchannel heat sink is examined. • Flow field configuration includes symmetric bifurcation flow distributors. • Investigations are performed based on both first and second laws of thermodynamics. • A promising view for use of this hybrid ferrofluid in mini heat exchangers is found. -- Abstract: This paper aims to investigate the hydrothermal and entropy generation characteristics of a non-Newtonian nanofluid containing CuO nanoparticles in an offset strip-fin microchannel heat sink (MCHS). The base fluid is solution of 0.5 wt% Carboxymethyl Cellulose (CMC) in water. This study investigates the effects of nanoparticles concentration, Reynolds number and geometric size of strip-fin on the performance of MCHS from the viewpoint of both the first and the second thermodynamic law. The results reveal that enhancing the Reynolds number improves the performance of MCHS by boosting the convective heat transfer coefficient of the working fluid which favourably reduces the CPU surface temperature and thermal entropy generation rate and importantly leads to the temperature uniformity of the CPU surface. However, increase in Reynolds number adversely affects both the pumping power and the frictional entropy generation in the system. Therefore, the optimal strip-fin size is investigated to find the optimum performance of the offset strip-fins MCHS from the viewpoint of both the first and the second thermodynamic law. The optimal results show that the highest ratio of heat transfer enhancement to pressure drop increment, using the nanofluid instead of base fluid, is 2.29. In addition in the optimal case, the minimum total entropy generation rate of the nanofluid is 2.7% less than the base fluid.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.applthermaleng.2019.04.009Additional details
Identifiers
- DOI
- 10.1016/j.applthermaleng.2019.04.009;
- PII
- S1359431118358502;
Publishing Information
- Journal Title
- Applied Thermal Engineering
- Journal Volume
- 155
- Journal Page Range
- p. 247-258
- ISSN
- 1359-4311
- CODEN
- ATENFT
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54124861
- Subject category
- S77: NANOSCIENCE AND NANOTECHNOLOGY;
- Descriptors DEI
- CELLULOSE; COMPUTERIZED SIMULATION; COPPER OXIDES; ENTROPY; FERRITES; FORCED CONVECTION; GEOMETRY; HEAT EXCHANGERS; HEAT SINKS; IRON OXIDES; LIQUIDS; NANOFLUIDS; NANOPARTICLES; PERFORMANCE; PRESSURE DROP; REYNOLDS NUMBER; SURFACES; SYMMETRY; THERMODYNAMICS; WORKING FLUIDS
- Descriptors DEC
- CARBOHYDRATES; CHALCOGENIDES; CONVECTION; COPPER COMPOUNDS; DIMENSIONLESS NUMBERS; DISPERSIONS; ENERGY TRANSFER; FERRIMAGNETIC MATERIALS; FLUIDS; HEAT TRANSFER; IRON COMPOUNDS; MAGNETIC MATERIALS; MASS TRANSFER; MATERIALS; MATHEMATICS; ORGANIC COMPOUNDS; OXIDES; OXYGEN COMPOUNDS; PARTICLES; PHYSICAL PROPERTIES; POLYSACCHARIDES; SACCHARIDES; SIMULATION; SINKS; SUSPENSIONS; THERMODYNAMIC PROPERTIES; TRANSITION ELEMENT COMPOUNDS
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier Ltd. All rights reserved.