Skip to main content
SpringerLink
Log in

Numerical analysis of the effect of hot dent infusion jet on the fluid flow and heat transfer rate through the microchannel in the presence of external magnetic field

  • Published:
Journal of Thermal Analysis and Calorimetry Aims and scope Submit manuscript

Abstract

In this work, the nanofluid flow inside a microchannel with serrated injection jet on the upper wall of microchannel and using magnetic field with intensity of 0–40 Hartman were surveyed. The lower microchannel wall with jet injection racks has a constant temperature, but the upper microchannel wall is insulated among injection jets. Applying dented mode for injection jets was performed to enhance heat transfer. This research was performed for Reynolds numbers 10–50 and B = 0.01, 0.05, and 0.1 and for volume fraction of 0–6% water/Al2O3. The results indicated that the higher the height of dents was, the higher the heat transfer occurred.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Abbreviations

A:

Area, m2

Cf :

Friction factor

Cp :

Heat capacity, J kg−1 K−1

d:

Diameter, m

g:

Gravity acceleration, m s-2

H,L:

Microchannel height and length, m

X = x/H, Y = y/H:

Dimensionless microchannel height and length

k:

Thermal conductivity coefficient, W m−1 K−1

n:

Range of numbers in the equation placed or counter

Nu:

Nusselt number

p:

Fluid pressure, Pa

Pe = (usds/αf):

Peclet number

Pr=υf /αf :

Prandtl number

Re=ρf uc h /μf :

Reynolds number

T:

Temperature, K

u, v:

Velocity components in x, y directions, m s−1

uc :

Inlet flow velocity, m s−1

us :

Brownian motion velocity, m s−1

(U, V) = (u/ U0, v/ U0):

Dimensionless flow velocity in x–y direction

x, y:

Cartesian coordinates, m

(X, Y) = (x/h, y/h):

Dimensionless coordinates

α:

Thermal diffusivity, m2 s−1

β:

Rib height coefficient

φ:

Nanoparticles volume fraction

Kb :

Boltzmann constant, J K−1

μ:

Dynamic viscosity, Pa s

θ = (T–TC)/(TH –TC):

Dimensionless temperature

ρ:

Density, kg m−3

υ:

Kinematics viscosity, m2 s−1

c:

Cold

f:

Effective

h:

Base fluid (pure water)

M:

Hot mean

nf:

Nanofluid

s:

Solid nanoparticles

References

  1. Yang L, Du K. Numerical simulation of nanofluid flow and heat transfer in a microchannel: the effect of changing the injection layout arrangement. Int J Mech Sci. 2020;172:105415.

    Article  Google Scholar 

  2. Karimipour A, Hossein Nezhad A, D’Orazio A, Shirani E. Investigation of the gravity effects on the mixed convection heat transfer in a microchannel using lattice Boltzmann method. Int J Therm Sci. 2012;54:142–52.

    Article  CAS  Google Scholar 

  3. Karimipour A. New correlation for Nusselt number of nanofluid with Ag/Al2O3/Cu nanoparticles in amicrochannel considering slip velocity and temperature jump by using lattice Boltzmann method. Int J Therm Sci. 2015;91:146–56.

    Article  CAS  Google Scholar 

  4. Karimipour A, Nezhad AH, D’Orazio A, Esfe MH, Safaei MR, Shirani E. Simulation of copper-water nanofluid in a microchannel in slip flow regime using the lattice Boltzmann method. Eur J Mech B Fluids. 2015;49:89–99.

    Article  Google Scholar 

  5. Bahrami D, Abbasian-Naghneh S, Karimipour A, Karimipour A. Efficacy of injectable rib height on the heat transfer and entropy generation in the microchannel by affecting slip flow. Math Methods Appl Sci. 2020. https://doi.org/10.1002/mma.6728.

    Article  Google Scholar 

  6. Esfe MH, Arani AAA, Niroumand AH, Yan W-M, Karimipour A. Mixed convection heat transfer from surface-mounted block heat sources in a horizontal channel with nanofluids. Int J Heat Mass Transfer. 2015;89:783–91.

    Article  CAS  Google Scholar 

  7. Bagherzadeh SA, Jalali E, Sarafraz MM, Akbari OA, Karimipour A, Goodarzi M, Bach QV. Effects of magnetic field on micro cross jet injection of dispersed nanoparticles in a microchannel. Int J Numer Meth Heat Fluid Flow. 2019;30(5):2683–704.

    Article  Google Scholar 

  8. Alipour H, Karimipour A, Safaei MR, Semiromi DT, Akbari OA. Influence of T-semi attached rib on turbulent flow and heat transfer parameters of a silver-water nanofluid with different volume fractions in a three-dimensional trapezoidal microchannel. Physica E. 2017;88:60–76.

    Article  CAS  Google Scholar 

  9. Dehkordi RB, Toghraie D, Hashemian M, Aghadavoudi F, Akbari M. Molecular dynamics simulation of ferro-nanofluid flow in a microchannel in the presence of external electric field: Effects of Fe3O4 nanoparticles. Int Commun Heat Mass Transfer. 2020;116(104):653.

    Google Scholar 

  10. Choi Z, Zhang Y. Numerical simulation of laminar forced convection heat transfer Al2O3–water nanofluid in a pipe with return bend. Int J Therm Sci. 2012;55:90–102.

    Article  CAS  Google Scholar 

  11. Akbarinia A, Laur R. Investigating the diameter of solid particles effects on a laminar nanofluid flow in a curved tube using a two phase approach. Int J Heat Fluid Flow. 2011;30:706–18.

    Article  CAS  Google Scholar 

  12. Jalali E, Karimipour A. Simulation the effects of cross-flow injection on the slip velocity and temperature domain of a nanofluid flow inside a microchannel. Int J Numerical Methods Heat Fluid Flow. 2019;29(5):1546–62.

    Article  Google Scholar 

  13. L. Wei, H. Arasteh, A. Parsian, M. Taghipour, R. Mashayekhi, I. Tlili (2020), Locally weighted moving regression: Anon-parametric method for modeling nanofluid features of dynamic viscosity, Phys A Stat Mech its Appl. 124124

  14. Zhuang Y, Ma CF, Qin M. Experimental study on local heat transfer with liquid impingement flow in two-dimensional micro-channels. Int J Heat Mass Transf. 1997;40(97):4055–9.

    Article  CAS  Google Scholar 

  15. Jang SP, Kim SJ, Paik KW. Experimental investigation of thermal characteristics for a microchannel heat sink subject to an impinging jet, using a micro-thermal sensor array. Sensors Actuators A. 2003;105:211–24.

    Article  CAS  Google Scholar 

  16. Yousefzadeh S, Rajabi H, Ghajari N, Sarafraz MM, Akbari OA, Goodarzi M. Numerical investigation of mixed convection heat transfer behavior of nanofluid in a cavity with different heat transfer areas. J Therm Anal Calorim. 2019. https://doi.org/10.1007/s10973-019-09018-6.

    Article  Google Scholar 

  17. Karimipour A, Taghipour A, Malvandi A. Developing the laminar MHD forced convection flow of water/FMWNT carbon nanotubes in a microchannel imposed the uniform heat flux. J Magn Magn Mater. 2016;419:420–8.

    Article  CAS  Google Scholar 

  18. Li F, Ma Q, Xin G, Zhang J, Wang X. Heat transfer and flow characteristics of microchannels with solid and porous ribs. Appl Therm Eng. 2020;178:115639.

    Article  Google Scholar 

  19. Arjmandfard A, Toghraie D, Mehmandoust B, Hashemian M, Karimipour A. The study of atomic porosity effect on water/Fe nanofluid flow in a microchannel with a molecular dynamics method. J Mol Liq. 2020;317:114291.

    Article  CAS  Google Scholar 

  20. Tahir S, Mital M. Numerical investigation of laminar nanofluid developing flow and heat transfer in a circular channel. Appl Therm Eng. 2012;39:8–14.

    Article  CAS  Google Scholar 

  21. Eastman JA, Choi SUS, Li S, Yu W, Thompson LJ. Anomalously increased effective thermal conductivities of ethylene glycol-based nanofluids containing copper nanoparticles. Appl Phys Lett. 2001;78:718–20.

    Article  CAS  Google Scholar 

  22. Halelfadl S, Adham AM, Mohd-Ghazali N, Maré T, Estellé P, Ahmad R. Optimization of thermal performances and pressure drop of rectangular microchannel heat sink using aqueous carbon nanotubes based nanofluid. Appl Therm Eng. 2014;62:492–9.

    Article  CAS  Google Scholar 

  23. Behnampour A, Akbari OA, Safaei MR, Ghavami M, Marzban A, Sheikh Shabani GA, Zarringhalam M, Mashayekhi R. Analysis of heat transfer and nanofluid fluid flow in microchannels with trapezoidal, rectangular and triangular shaped ribs. Phys E Low-Dimens Syst Nanostruct. 2017;91:15–31.

    Article  CAS  Google Scholar 

  24. Ahmadi MH, Mirlohi A, Alhuyi Nazari M, Ghasempour R. A review of thermal conductivity of various nanofluids. J Mol Liq. 2018;265:181–8.

    Article  CAS  Google Scholar 

  25. Safaei MR, Togun H, Vafai K, Kazi SN, Badarudin A. Investigation of heat transfer enhancement in a forward-facing contracting channel using FMWCNT nanofluids. Numer Heat Transf Part A Appl. 2014;66:1321–40.

    Article  CAS  Google Scholar 

  26. Sajadifar SA, Karimipour A, Toghraie D. Fluid flow and heat transfer of non-Newtonian nanofluid in a microtube considering slip velocity and temperature jump boundary conditions. Eur J Mech-B/Fluids. 2017;61:25–32.

    Article  Google Scholar 

  27. Jalali E, Akbari OA, Sarafraz MM, Abbas T, Safaei MR. Heat transfer of oil/MWCNT nanofluid jet injection inside a rectangular microchannel. Symmetry. 2019;11:757.

    Article  CAS  Google Scholar 

  28. Aminossadati SM, Raisi A, Ghasemi B. Effects of magnetic field on nanofluid forced convection in a partially heated microchannel. Int J Non-Linear Mecha. 2011;46:1373–82.

    Article  Google Scholar 

  29. Raisi A, Ghasemi B, Aminossadati SM. A numerical study on the forced convection of laminar nanofluid in a microchannel with both slip and no-slip conditions. Numer Heat Transfer, Part A. 2011;59:114–29.

    Article  CAS  Google Scholar 

  30. Hoseinzadeh S, Sohani A, Shahverdian MH, Shirkhani A, Heyns S. Acquiring an analytical solution and performing a comparative sensitivity analysis for flowing Maxwell upper-convected fluid on a horizontal surface. Thermal Sci Eng Progress. 2021;23:100901.

    Article  Google Scholar 

  31. Hoseinzadeh S, Sahebi SAR, Ghasemiasl R, Majidian AR. Experimental analysis to improving thermosyphon (TPCT) thermal efficiency using nanoparticles/based fluids (water). Eur Phys J Plus. 2017;132(5):1–8.

    Article  CAS  Google Scholar 

  32. Hoseinzadeh, S., Heyns, P.S. and Kariman, H., 2019. Numerical investigation of heat transfer of laminar and turbulent pulsating Al2O3/water nanofluid flow. Intl J Numerical Methods Heat Fluid Flow

  33. Hoseinzadeh, S., Sohani, A. and Ashrafi, T.G., 2021. An artificial intelligence-based prediction way to describe flowing a Newtonian liquid/gas on a permeable flat surface. J Thermal Analys Calorimetry, pp.1–7

  34. Hoseinzadeh S, Heyns PS, Chamkha AJ, Shirkhani A. Thermal analysis of porous fins enclosure with the comparison of analytical and numerical methods. J Therm Anal Calorim. 2019;138(1):727–35.

    Article  CAS  Google Scholar 

  35. Sohani, A., Hoseinzadeh, S., Samiezadeh, S. and Verhaert, I., 2021. Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system. J Thermal Analy Calorimetry, pp.1–12

  36. Kariman H, Hoseinzadeh S, Shirkhani A, Heyns PS, Wannenburg J. Energy and economic analysis of evaporative vacuum easy desalination system with brine tank. J Therm Anal Calorim. 2020;140(4):1935–44.

    Article  CAS  Google Scholar 

  37. Javadi MA, Hoseinzadeh S, Ghasemiasl R, Heyns PS, Chamkha AJ. Sensitivity analysis of combined cycle parameters on exergy, economic, and environmental of a power plant. J Therm Anal Calorim. 2020;139(1):519–25.

    Article  CAS  Google Scholar 

  38. Alayi R, Zishan F, Mohkam M, Hoseinzadeh S, Memon S, Garcia DA. A sustainable energy distribution configuration for microgrids integrated to the national grid using back-to-back converters in a renewable power system. Electronics. 2021;10(15):1826.

    Article  Google Scholar 

  39. Hoseinzadeh S, Sohani A, Heyns S. Comprehensive analysis of the effect of air injection on the wake development of an airfoil. Ocean Eng. 2021;220:108455.

    Article  Google Scholar 

  40. Sarafraz MM, Safaei MR, Goodarzi M, Arjomandi M. Reforming of methanol with steam in a micro-reactor with Cu–SiO2 porous catalyst. Int J Hydrogen Energy. 2019;44(36):19628–39.

    Article  CAS  Google Scholar 

  41. Sarafraz MM, Hormozi F. Application of thermodynamic models to estimating the convective flow boiling heat transfer coefficient of mixtures. Exp Thermal Fluid Sci. 2014;53:70–85.

    Article  CAS  Google Scholar 

  42. Salari, E., Peyghambarzadeh, M., Sarafraz, M. and Hormozi, F., 2016. Boiling heat transfer of alumina nano-fluids: role of nanoparticle deposition on the boiling heat transfer coefficient

  43. Sarafraz MM, Hormozi F, Peyghambarzadeh SM. Pool boiling heat transfer to aqueous alumina nano-fluids on the plain and concentric circular micro-structured (CCM) surfaces. Exp Thermal Fluid Sci. 2016;72:125–39.

    Article  CAS  Google Scholar 

  44. Sarafraz MM, Hormozi F. Experimental study on the thermal performance and efficiency of a copper made thermosyphon heat pipe charged with alumina–glycol based nanofluids. Powder Technol. 2014;266:378–87.

    Article  CAS  Google Scholar 

  45. Sarafraz MM, Hormozi F. Forced convective and nucleate flow boiling heat transfer to alumnia nanofluids. Periodica Polytech, Chem Eng. 2014;58(1):37–46.

    Article  CAS  Google Scholar 

  46. Nazari S, Ellahi R, Sarafraz MM, Safaei MR, Asgari A, Akbari OA. Numerical study on mixed convection of a non-Newtonian nanofluid with porous media in a two lid-driven square cavity. J Therm Anal Calorim. 2020;140(3):1121–45.

    Article  CAS  Google Scholar 

  47. Sarafraz MM, Safaei MR. Diurnal thermal evaluation of an evacuated tube solar collector (ETSC) charged with graphene nanoplatelets-methanol nano-suspension. Renew Energy. 2019;142:364–72.

    Article  CAS  Google Scholar 

  48. Goodarzi M, Amiri A, Goodarzi MS, Safaei MR, Karimipour A, Languri EM, Dahari M. Investigation of heat transfer and pressure drop of a counter flow corrugated plate heat exchanger using MWCNT based nanofluids. Int Commun Heat Mass Transfer. 2015;66:172–9.

    Article  CAS  Google Scholar 

  49. Esfahani JA, Safaei MR, Goharimanesh M, De Oliveira LR, Goodarzi M, Shamshirband S, Bandarra Filho EP. Comparison of experimental data, modelling and non-linear regression on transport properties of mineral oil based nanofluids. Powder Technol. 2017;317:458–70.

    Article  CAS  Google Scholar 

  50. Akbari OA, Safaei MR, Goodarzi M, Akbar NS, Zarringhalam M, Shabani GAS, Dahari M. A modified two-phase mixture model of nanofluid flow and heat transfer in a 3-D curved microtube. Adv Powder Technol. 2016;27(5):2175–85.

    Article  CAS  Google Scholar 

  51. Bagherzadeh SA, D’Orazio A, Karimipour A, Goodarzi M, Bach QV. A novel sensitivity analysis model of EANN for F-MWCNTs–Fe3O4/EG nanofluid thermal conductivity: outputs predicted analytically instead of numerically to more accuracy and less costs. Physica A. 2019;521:406–15.

    Article  CAS  Google Scholar 

  52. Tian Z, Abdollahi A, Shariati M, Amindoust A, Arasteh H, Karimipour A, Goodarzi M, Bach QV. Turbulent flows in a spiral double-pipe heat exchanger: optimal performance conditions using an enhanced genetic algorithm. Int J Numer Meth Heat Fluid Flow. 2019;30(1):39–53.

    Article  Google Scholar 

  53. Ahmadi MH, Mohseni-Gharyehsafa B, Ghazvini M, Goodarzi M, Jilte RD, Kumar R. Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid. J Therm Anal Calorim. 2020;139(4):2585–99.

    Article  CAS  Google Scholar 

  54. Bahiraei M, Jamshidmofid M, Goodarzi M. Efficacy of a hybrid nanofluid in a new microchannel heat sink equipped with both secondary channels and ribs. J Mol Liq. 2019;273:88–98.

    Article  CAS  Google Scholar 

  55. Bahmani MH, Sheikhzadeh G, Zarringhalam M, Akbari OA, Alrashed AA, Shabani GAS, Goodarzi M. Investigation of turbulent heat transfer and nanofluid flow in a double pipe heat exchanger. Adv Powder Technol. 2018;29(2):273–82.

    Article  CAS  Google Scholar 

  56. Giwa SO, Sharifpur M, Goodarzi M, Alsulami H, Meyer JP. Influence of base fluid, temperature, and concentration on the thermophysical properties of hybrid nanofluids of alumina–ferrofluid: experimental data, modeling through enhanced ANN, ANFIS, and curve fitting. J Therm Anal Calorim. 2021;143(6):4149–67.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

    Esmaeil jalali

  2. Department of Nutrition, Cihan University-Erbil, Kurdistan Region, Erbil, Iraq

    S. Mohammad Sajadi

  3. Department of Phytochemistry, SRC, Soran University, Kurdistan Regional Government, Iraq

    S. Mohammad Sajadi

  4. Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600, Bangi, Selangor, Malaysia

    Ferial Ghaemi

  5. Department of Mathematics, Faculty of Arts and Sciences, Cankaya University, Ankara, Turkey

    Dumitru Baleanu

  6. Institute of Space Sciences, Magurele, Romania

    Dumitru Baleanu

  7. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan

    Dumitru Baleanu

Authors
  1. Esmaeil jalali
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Mohammad Sajadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ferial Ghaemi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dumitru Baleanu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dumitru Baleanu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

jalali, E., Sajadi, S.M., Ghaemi, F. et al. Numerical analysis of the effect of hot dent infusion jet on the fluid flow and heat transfer rate through the microchannel in the presence of external magnetic field. J Therm Anal Calorim 147, 8397–8409 (2022). https://doi.org/10.1007/s10973-021-11095-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10973-021-11095-5

Keywords

Search

Navigation