| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Finite element analysis of copper nanoparticles in Boger fluid: Effects of dynamic inter-particle spacing, nanolayer thermal conductivity, nanoparticles diameter, and thermal radiation over a stretching sheet |
| Qadeer Raza1,†, Xiaodong Wang(王晓东)1,2,‡, Tahir Mushtaq3, Bagh Ali4,†, and Nehad Ali Shah5 |
1 School of Mathematics and Statistics, Xi'an Key Laboratory of Scientific Computation and Applied Statistics, Northwestern Polytechnical University, Xi'an 710129, China; 2 Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen 518057, China; 3 Department of Mathematics, COMSATS University Islamabad, Vehari Campus, Vehari 61100, Pakistan; 4 Department of Mathematical Sciences, Saveetha School of Engineering, SIMATS, Chennai-602105, Tamilnadu, India; 5 Department of Mechanical Engineering, Sejong University, Seoul 05006, Republic of Korea |
|
|
|
|
Abstract This study explores the magnetohydrodynamic (MHD) boundary layer flow of a water-based Boger nanofluid over a stretching sheet, with particular focus on the influences of nanoparticle diameter, nanolayer effects, and thermal radiation. The primary aim is to examine how variations in nanoparticle size and nanolayer thickness affect the hydrothermal behavior of the nanofluid. The model also incorporates the contributions of viscous dissipation and Joule heating within the heat transfer equation. The governing momentum and energy equations are converted into dimensionless partial differential equations (PDEs) using appropriate similarity variables and are numerically solved using the finite element method (FEM) implemented in MATLAB. Extensive validation of this method confirms its reliability and accuracy in numerical solutions. The findings reveal that increasing the diameter of copper nanoparticles significantly enhances the velocity profile, with a more pronounced effect observed at wider inter-particle spacings. A higher solvent volume fraction leads to decreased velocity and temperature distributions, while a greater relaxation time ratio improves velocity and temperature profiles due to the increased elastic response of the fluid. Moreover, enhancements in the magnetic parameter, thermal radiation, and Eckert number lead to an elevation in temperature profiles. Furthermore, higher nanolayer thickness reduces the temperature profile, whereas particle radius yields the opposite outcome.
|
Received: 17 January 2025
Revised: 25 April 2025
Accepted manuscript online: 23 May 2025
|
|
PACS:
|
44.40.+a
|
(Thermal radiation)
|
| |
44.30.+v
|
(Heat flow in porous media)
|
| |
47.11.Fg
|
(Finite element methods)
|
| |
52.30.Cv
|
(Magnetohydrodynamics (including electron magnetohydrodynamics))
|
| |
47.50.-d
|
(Non-Newtonian fluid flows)
|
|
| Fund: Project supported by the Fundamental Research Funds for the Central Universities (Grant No. D5000230061) and the Guangdong Basic and Applied Basic Research Foundation (Grant No. 2025A1515011192). |
Corresponding Authors:
Xiaodong Wang
E-mail: xiaodongwang@nwpu.edu.cn
|
Cite this article:
Qadeer Raza, Xiaodong Wang(王晓东), Tahir Mushtaq, Bagh Ali, and Nehad Ali Shah Finite element analysis of copper nanoparticles in Boger fluid: Effects of dynamic inter-particle spacing, nanolayer thermal conductivity, nanoparticles diameter, and thermal radiation over a stretching sheet 2025 Chin. Phys. B 34 114402
|
[1] Choi S U and Eastman J A 1995 Argonne National Laboratory, Argonne, IL, USA Oct.
[2] Awan A U, Shah S A and Ali B 2022 Chin. J. Phys. 77 2795
[3] Khan Z H, Swain K, Ibrahim S M, Khan W A and Huang Z 2024 Alex. Eng. J. 108 122
[4] Reddy Y D and Goud B S 2022 J. Therm. Anal. Calorim. 147 11991
[5] Khan K A, Vivas-Cortez M, Ishfaq K, Javed M F, Raza N, Nisar K S and Abdel-Aty A H 2024 Results Phys. 60 107635
[6] Lanjwani H B, Anwar M I, Wahab A, Shehzad S A and Arshad M 2022 Mater. Sci. Eng. B 286 116076
[7] Venkatesh N, Srinivasa Raju R, Anil Kumar M and Vijayabhaskar C 2023 Int. J. Model. Simul. 41 1
[8] Gupta M, Singh V, Kumar R and Said Z 2017 Renew. Sustain. Energy Rev. 74 638
[9] Yang L, Ji W, Huang J N and Xu G 2019 J. Mol. Liq. 296 111780
[10] Maxwell J C 1988 A Treatise on Electricity and Magnetism: Pt. Ⅲ. Magnetism. Pt. IV. Electromagnetism (Oxford: Clarendon Press) Vol. 2
[11] Tarakaramu N, Narayana P S and Venkateswarlu B 2020 Nonlinear Eng. 9 233
[12] Uddin Z, Vishwak K S and Harmand S 2021 Chin. J. Phys. 73 442
[13] Dzulkifli N F, Bachok N, Yacob N A, Pop I, Arifin N and Rosali H 2022 CFD Lett. 14 66
[14] Imtiaz M, Khan M I, Akermi M and Hejazi H A 2024 J. Magn. Magn. Mater. 589 171613
[15] Shahzad A, Liaqat F, Ellahi Z, Sohail M, Ayub M and Ali M R 2022 Sci. Rep. 12 14254
[16] Gireesha B J, Pavithra C G and Sushma 2024 Int. J. Model. Simul. 42 1
[17] Naseem T and Shahzad A 2023 Numer. Heat Transfer, Part A Appl. 84 1
[18] Hamilton R L and Crosser O K 1962 Ind. Eng. Chem. 3 187
[19] Jiang H, Xu Q and Huang C 2014 Appl. Phys. A 118 197
[20] Areekara S, Sabu A S, Mathew A and Saravanan B 2021 Heat Transfer 50 6680
[21] Hayat T, Khan S A, Alsaedi A and Zai Q Z 2020 Int. Commun. Heat Mass Transfer 118 104881
[22] Mahabaleshwar U S, Sneha K N and Huang H N 2022 J. Taiwan Inst. Chem. Eng. 134 104298
[23] Xue Q Z 2003 Phys. Lett. A 307 313
[24] Murshed S M, Leong K C and Yang C 2008 Int. J. Therm. Sci. 47 560
[25] Pan F, Ali B, Siddique I, Ali R, Khan S A, Hussein A K and Yang H 2025 Chaos, Solitons and Fractals 191 115908
[26] Raza Q, Wang X, Qureshi M Z, Eldin S M, Abd Allah A M, Ali B and Siddique I 2023 Case Stud. Therm. Eng. 45 102958
[27] Qureshi M Z, Bilal S, Chu Y M and Farooq A B 2021 J. Mol. Liq. 325 115211
[28] Shah I A, Bilal S, Akgul A, Tekin M T, Botmart T, Zahran H Y and Yahia I S 2022 Alex. Eng. J. 61 11737
[29] Crane L J 1970 Z. Angew. Math. Phys. 21 645
[30] Mohana C M and Rushi Kumar B 2024 Int. J. Mod. Phys. B 38 2450151
[31] Zeeshan A, Khalid N, Ellahi R, Khan M I and Alamri S Z 2024 Chaos, Solitons and Fractals 189 115600
[32] Mahabaleshwar U S, Sneha K N, Chan A and Zeidan D 2022 Int. Commun. Heat Mass Transfer 135 106080
[33] Balamurugan R and Vanav Kumar A 2024 Heat Transfer 53 584
[34] Mukhtar T, Jamshed W, Aziz A and Al-Kouz W 2023 Numer. Methods Partial Differ. Equ. 39 3499
[35] Shah Z, Dawar A, Islam S, Alshehri A and Alrabaiah H 2024 Waves Random Complex Media 34 5172
[36] Benal S S, Tawade J V, Biradar M M and Allasi H L 2022 Math. Probl. Eng. 2022 7326504
[37] Khan Z H, Swain K, Ibrahim S M, Khan W A and Huang Z 2024 Alex. Eng. J. 108 122
[38] Jamshed W, Goodarzi M, Prakash M, Nisar K S, Zakarya M and AbdelAty A H 2021 Case Stud. Therm. Eng. 26 101160
[39] Koli C M and Salunkhe S N 2023 J. Comput. Appl. Mech. 54 111
[40] Ghosh S and Mukhopadhyay S 2024 Waves Random Complex Media 34 2637
[41] Shamshuddin M D, Gamar F, Ram M S and Salawu S O 2024 Int. J. Model. Simul. 43 1
[42] Ghasemi S E, Mohsenian S, Gouran S and Zolfagharian A 2022 Results Phys. 32 105141
[43] Swain K, Ibrahim S M, Dharmaiah G and Noeiaghdam S 2023 Results Eng. 19 101208
[44] Graham A L 1981 Appl. Sci. Res. 37 275
[45] Gosukonda S, Gorti V P N S, Baluguri S B and Sakam S R 2015 Procedia Eng. 127 263
[46] Ali N, Nazeer M, Javed T and Razzaq M 2019 Eur. Phys. J. Plus 134 2
[47] Raza Q, Wang X, Ali B, Li S, Shah N A and Yang H 2025 Chaos, Solitons and Fractals 190 115758
[48] Ibrahim W 2017 J. Braz. Soc. Mech. Sci. Eng. 39 791
[49] Khan R M, Ashraf W, Sohail M, Yao S W and Al-Kouz W 2020 Complexity 2020 8885749
[50] Dawar A, Shah Z, Tassaddiq A, Islam S and Kumam P 2021 Case Stud. Therm. Eng. 25 100870 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|