Flow and heat transfer characteristics of nanofluids in sudden expansion structure based on SLA method

The current work aims at a fundamental understanding of the concept of head loss coefficient, K, of nanofluids flowing in sudden expansionpipe. While so far several articles have applied this concept to the laminar flow regime of water, it is extended here to the mechanics of nanofluids. To describe...

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Main Authors: Zhang Haochun, Feng Zhiyuan, Liu Xiuting, Yin Dezhuang
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2019-01-01
Series:Thermal Science
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-98361900210Z.pdf
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spelling doaj-770b0fd54f2e4dd8a9e07709226548052021-01-02T09:56:34ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362019-01-01233 Part A1449145510.2298/TSCI180609210Z0354-98361900210ZFlow and heat transfer characteristics of nanofluids in sudden expansion structure based on SLA methodZhang Haochun0Feng Zhiyuan1Liu Xiuting2Yin Dezhuang3School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, ChinaDepartment of Engineering Physics, Tsinghua University, Beijing, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin, ChinaThe current work aims at a fundamental understanding of the concept of head loss coefficient, K, of nanofluids flowing in sudden expansionpipe. While so far several articles have applied this concept to the laminar flow regime of water, it is extended here to the mechanics of nanofluids. To describe the flow dissipation, a thermodynamic model is built based on the Second law analysis approach to calculate the overall entropy generation with the assistance of appropriate single-phase models used to get viscosity values of nanofluids. Then, specific values of K can be determined by the integration of entropy generation field. In addition, considering the thermodynamic irreversibility caused by temperature gradients due to heat transfer processes, a new concept of thermodynamic loss coefficient, KE, has been applied to calculate total dissipation. The correlations between K and Reynolds number of sudden expansion flows are also derived. It is interesting to note that the results reveal some striking similarities among nanofluids of various volume concentrations. This unexpected phenomenon shows that the K value is independent of the volume concentration (within the scope of the study). Furthermore, the results show that with an increase in both nanofluid concentration and temperature rise in the heated section, the KE and Nusselt number increases accordingly.http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-98361900210Z.pdfnanofluidssudden expansionSecond law analysisNusselt numberentropy generation
collection DOAJ
language English
format Article
sources DOAJ
author Zhang Haochun
Feng Zhiyuan
Liu Xiuting
Yin Dezhuang
spellingShingle Zhang Haochun
Feng Zhiyuan
Liu Xiuting
Yin Dezhuang
Flow and heat transfer characteristics of nanofluids in sudden expansion structure based on SLA method
Thermal Science
nanofluids
sudden expansion
Second law analysis
Nusselt number
entropy generation
author_facet Zhang Haochun
Feng Zhiyuan
Liu Xiuting
Yin Dezhuang
author_sort Zhang Haochun
title Flow and heat transfer characteristics of nanofluids in sudden expansion structure based on SLA method
title_short Flow and heat transfer characteristics of nanofluids in sudden expansion structure based on SLA method
title_full Flow and heat transfer characteristics of nanofluids in sudden expansion structure based on SLA method
title_fullStr Flow and heat transfer characteristics of nanofluids in sudden expansion structure based on SLA method
title_full_unstemmed Flow and heat transfer characteristics of nanofluids in sudden expansion structure based on SLA method
title_sort flow and heat transfer characteristics of nanofluids in sudden expansion structure based on sla method
publisher VINCA Institute of Nuclear Sciences
series Thermal Science
issn 0354-9836
publishDate 2019-01-01
description The current work aims at a fundamental understanding of the concept of head loss coefficient, K, of nanofluids flowing in sudden expansionpipe. While so far several articles have applied this concept to the laminar flow regime of water, it is extended here to the mechanics of nanofluids. To describe the flow dissipation, a thermodynamic model is built based on the Second law analysis approach to calculate the overall entropy generation with the assistance of appropriate single-phase models used to get viscosity values of nanofluids. Then, specific values of K can be determined by the integration of entropy generation field. In addition, considering the thermodynamic irreversibility caused by temperature gradients due to heat transfer processes, a new concept of thermodynamic loss coefficient, KE, has been applied to calculate total dissipation. The correlations between K and Reynolds number of sudden expansion flows are also derived. It is interesting to note that the results reveal some striking similarities among nanofluids of various volume concentrations. This unexpected phenomenon shows that the K value is independent of the volume concentration (within the scope of the study). Furthermore, the results show that with an increase in both nanofluid concentration and temperature rise in the heated section, the KE and Nusselt number increases accordingly.
topic nanofluids
sudden expansion
Second law analysis
Nusselt number
entropy generation
url http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-98361900210Z.pdf
work_keys_str_mv AT zhanghaochun flowandheattransfercharacteristicsofnanofluidsinsuddenexpansionstructurebasedonslamethod
AT fengzhiyuan flowandheattransfercharacteristicsofnanofluidsinsuddenexpansionstructurebasedonslamethod
AT liuxiuting flowandheattransfercharacteristicsofnanofluidsinsuddenexpansionstructurebasedonslamethod
AT yindezhuang flowandheattransfercharacteristicsofnanofluidsinsuddenexpansionstructurebasedonslamethod
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