Research PaperNo Access

Investigation of nanofluid flow within a duct with complicated swirl flow device using numerical computing technology

Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, Jiangsu, P. R. China

Xuzhou Intelligent Machine Vision Engineering and Technology Center, Xuzhou 221116, Jiangsu, P. R. China

Department of Mechanical Engineering, College of Engineering, Taif University, P. O. Box 11099, Taif 21955, Saudi Arabia

Search for more papers by this author

Ali Bahadar

Department of Chemical and Materials Engineering, King Abdulaziz University, Rabigh 21911, Saudi Arabia

Search for more papers by this author

Yahya Ali Rothan

Department of Mechanical Engineering, Faculty of Engineering, Jazan University, Jazan 82822, Saudi Arabia

Search for more papers by this author

, and

Mahmoud M. Selim

Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, Jiangsu, P. R. China

Department of Mathematics, Al-Aflaj College of Science and Humanities Studies, Prince Sattam Bin Abdulaziz University, Al-Aflaj 710-11912, Saudi Arabia

Department of Mathematics, Suez Faculty of Science, Suez University, Egypt

E-mail Address: m.selim@psau.edu.sa

Corresponding author.

Search for more papers by this author

https://doi.org/10.1142/S0129183122500954Cited by:1 (Source: Crossref)

Abstract

To decrease the exergy drop, a new style of tape with an inset of the obstacle has been applied in the current utilized heat exchanger. Numerical technique was chosen to discover the solution of the equations for the current application. Hybrid nanopowders were added into a base fluid and an experimental formulation was utilized for involving the new working fluid. Addition of nanopowder and insertion of obstacle over the tape lead to augmentation of productivity of unit and help the system to minimize the irreversibility. Checking the correctness of the procedure in the modeling has been tested and proved to be in nice agreement. Two configurations for geometry of tube have been compared in two levels of Re. The regime of fluid is turbulent and the generation of grid has been done with considering the limitation of $Y^{+}$ . With the insertion of obstacle in the lowest level of Re, the swirl flow increases and $S_{gen, f}$ augments about 252.6% while $S_{gen, h}$ reduces about 21.22%. The value of heating term is much higher than the friction term, so Xd declines by 21.21%. With the use of new configuration of turbulator, elevating $V_{in}$ leads to elevation of $S_{gen, f}$ by 24.21% but $S_{gen, h}$ declines about 83.39%. Adding the turbulator with obstacle, $T_{w}$ decreases about 0.22% when Re $=$ 2e4.

Keywords:

You currently do not have access to the full text article.
Recommend the journal to your library today!

References

1. M. Sheikholeslami and M. Jafaryar , J. Taiwan Inst. Chem. Eng. 115, 96 (2020), https://doi.org/10.1016/j.jtice.2020.09.033. Crossref, Web of Science, Google Scholar
2. X. Zhang, Y. Tang, F. Zhang and C. Lee , Adv. Energy Mater. 6, 1502588 (2016), https://doi.org/10.1002/aenm.201502588. Crossref, Web of Science, Google Scholar
3. Y. A. Rothan , Appl. Nanosci. (2021), in press, https://doi.org/10.1007/s13204-021-01884-7. Google Scholar
4. Y.-M. Chu, E. Abohamzeh and Q.-V. Bach , Appl. Nanosci. (2020), in press, https://doi.org/10.1007/s13204-020-01576-8. Google Scholar
5. C. She, R. Jiab, B.-N. Hu, Z.-K. Zheng, Y.-P. Xu and D. Rodriguez , Energy Rep. 7, 5612 (2021). Crossref, Web of Science, Google Scholar
6. P. Valipour, F. S. Aski and M. Mirparizi , J. Mol. Liq. 225, 592 (2017). Crossref, Web of Science, Google Scholar
7. T.-H. Zhao, Z.-Y. He and Y.-M. Chu , AIMS Math. 5, 6479 (2020), https://doi.org/10.3934/math.2020418. Crossref, Web of Science, Google Scholar
8. Y.-M. Chu, F. Salehi, M. Jafaryar and Q.-V. Bach , Appl. Nanosci. (2020), in press, https://doi.org/10.1007/s13204-020-01583-9. Google Scholar
9. P. Valipour, M. Jafaryar, R. Moradi and F. S. Aski , Chem. Eng. Process. Process Intensification 123, 47 (2018). Crossref, Web of Science, Google Scholar
10. X. Yu, C. She, F. Gholizadeh and Y.-P. Xu , Energy Rep. 7, 5406 (2021). Crossref, Web of Science, Google Scholar
11. T. D. Manh et al., J. Therm. Anal. Calorim. 143, 1 (2019). Web of Science, Google Scholar
12. T.-H. Zhao, M.-K. Wang and Y.-M. Chu , AIMS Math. 5, 4512 (2020), https://doi.org/10.3934/math.2020290. Crossref, Web of Science, Google Scholar
13. H. Babazadeh, T. Muhammad, F. Shakeriaski, M. Ramzan and M. R. Hajizadeh , J. Thermal Anal. Calorim. 144, 1 (2020). Web of Science, Google Scholar
14. Y. Qin , J. Energy Storage 44, 103452 (2021), https://doi.org/10.1016/j.est.2021.103452. Crossref, Web of Science, Google Scholar
15. T.-H. Zhao, M.-K. Wang and Y.-M. Chu , Rev. Real. Acad. Ciencas Exactas Fisicas. Nat. Ser. A Mat. 115, 13 pages (2000), in press, https://doi.org/10.1007/s13398-020-00992-3. Google Scholar
16. H.-H. Chu, T.-H. Zhao and Y.-M. Chu , Math. Slovaca 70, 1097 (2020), https://doi.org/10.1515/ms-2017-0417. Crossref, Web of Science, Google Scholar
17. M. Sheikholeslami, M. Jafaryar, Z. Said, A. I. Alsabery, H. Babazadeh and A. Shafee , Appl. Thermal Eng. 182, 115935 (2021), https://doi.org/10.1016/j.applthermaleng.2020.115935. Crossref, Web of Science, Google Scholar
18. M. Wang, C. Jiang, S. Zhang, X. Song, Y. Tang, H. Cheng , Nat. Chem. 10, 667 (2018), https://doi.org/10.1038/s41557-018-0045-4. Crossref, Web of Science, Google Scholar
19. Y.-M. Chu, Z. Li and Q.-V. Bach , Appl. Nanosci. (2020), in press, https://doi.org/10.1007/s13204-020-01587-5. Google Scholar
20. Y. A. Rothan , Int. J. Mod. Phys. C 32, 2150141 (2021), https://doi.org/10.1142/S0129183121501412. Link, Web of Science, ADS, Google Scholar
21. Y. Feng, B. Zhang, Y. Liu, Z. Niu, B. Dai, Y. Fan and X. Chen , IEEE Trans. Microwave Theory Tech. 69, 5327 (2021), https://doi.org/10.1109/TMTT.2021.3119316. Crossref, Web of Science, ADS, Google Scholar
22. Y. A. Rothan , Appl. Nanosci. (2021), in press, https://doi.org/10.1007/s13204-021-01907-3. Google Scholar
23. Y. Qin , Int. Commun. Heat Mass Transf. 127, 105487 (2021), https://doi.org/10.1016/j.icheatmasstransfer.2021.105487. Crossref, Web of Science, Google Scholar
24. T.-H. Zhao, Z.-Y. He and Y.-M. Chu , Comput. Meth. Funct. Theory 21, 413 (2021), https://doi.org/10.1007/s40315-020-00352-7. Crossref, Web of Science, Google Scholar
25. Y.-M. Chu, R. Kumar and Q.-V. Bach , Appl. Nanosci. (2020), in press, https://doi.org/10.1007/s13204-020-01609-2. Google Scholar
26. T.-H. Zhao, M.-K. Wang and Y.-M. Chu , J. Math. Inequal. 15, 701 (2021). https://dx.doi.org/10.7153/jmi-2021-15-50. Crossref, Web of Science, Google Scholar
27. X. Ji, B. Peng, H. Ding, B. Cui, H. Nie and Y. Yan , Food Rev. Int. (2021), in press, https://doi.org/10.1080/87559129.2021.1904973. Google Scholar
28. Y. A. Rothan , Int. J. Mod. Phys. C (2021), https://doi.org/10.1142/S0129183122500103. Web of Science, Google Scholar
29. Y. Qin , Appl. Nanosci. (2021), in press, https://doi.org/10.1007/s13204-021-01960-y. Google Scholar
30. C. Hou, M. Yin, P. Lan, H. Wang, H. Nie and X. Ji , Chem. Biol. Technol. Agric. 8, 1 (2021), https://doi.org/10.1186/s40538-021-00214-x. Crossref, Web of Science, Google Scholar
31. Y. Qin , Appl. Nanosci. (2021), in press, https://doi.org/10.1007/s13204-021-01941-1. Google Scholar
32. M. A. Ali, H. Budak, A. Akkurt and Y.-M. Chu , Open Math. 19, 440 (2021), https://doi.org/10.1515/math-2021-0020. Crossref, Web of Science, Google Scholar
33. Y.-M. Chu and Q.-V. Bach , Appl. Nanosci. (2020), in press, https://doi.org/10.1007/s13204-020-01614-5. Google Scholar
34. Y.-X. Li, M. A. Ali, H. Budak, M. Abbas and Y.-M. Chu , Adv. Differ. Eq. 2021, 225 (2021), https://doi.org/10.1186/s13662-021-03382-04. Crossref, Web of Science, Google Scholar
35. D. Yadav, Y.-M. Chu and Z. Li , Appl. Nanosci. (2021), in press, https://doi.org/10.1007/s13204-021-01700-2. Google Scholar
36. Y. A. Rothan , J. Mol. Liq. 337, 116491 (2021), https://doi.org/10.1016/j.molliq.2021.116491. Crossref, Web of Science, Google Scholar
37. T.-H. Zhao, L. Shi and Y.-M. Chu , Rev. Real. Acad. Cienc. Exactas Fiscias. Nat. Ser. A Mat. 114, 96 (2020), https://doi.org/10.1007/s13398-020-00825-3. Crossref, Web of Science, Google Scholar
38. L.-N. Guo, C. She, D.-B. Kong, S.-L. Yan, Y.-P. Xu, M. Khayatnezhad and F. Gholini , Energy Rep. 7, 5431 (2021). Crossref, Web of Science, Google Scholar
39. T.-H. Zhao, B.-C. Zhou, M.-K. Wang and Y.-M. Chu , J. Inequal. Appl. 2019, 42 (2019), https://doi.org/10.1186/s13660-019-1991-0. Crossref, Web of Science, Google Scholar
40. J. Li, W. H. Alawee, M. J. H. Rawa, H. A. Dhahad, Y.-M. Chu, A. Issakhov, N. H. Abu-Hamdeh and M. R. Hajizadeh , J. Mol. Liq. 326, 115268 (2021), https://doi.org/10.1016/j.molliq.2020.115268. Crossref, Web of Science, Google Scholar
41. T.-H. Zhao, M.-K. Wang, W. Zhang and Y.-M. Chu , J. Inequal. Appl. 2018, 251 (2018), https://doi.org/10.1186/s13660-018-1848-y. Crossref, Web of Science, Google Scholar
42. P. Ouyang, Y.-P. Xu, L.-Y. Qi, S.-M. Xing and H. Fooladi , Energy Rep. 7, 2436 (2021). Crossref, Web of Science, Google Scholar
43. Y.-M. Chu and T.-H. Zhao , Math. Inequal. Appl. 19, 589 (2016). https://dx.doi.org/10.7153/mia-19-43. Web of Science, Google Scholar
44. Y.-M. Chu, N. H. Abu-Hamdeh, B. B. Brahim, M. R. Hajizadeh, Z. Li and Q.-V. Bach , J. Mol. Liq. 320, 114457 (2020), https://doi.org/10.1016/j.molliq.2020.114457. Crossref, Web of Science, Google Scholar
45. J. Feng, X. Luo, M. Gao, A. Abbas, Y.-P. Xu and S. Pouraminid , Energy Rep. 7, 1068 (2021). Crossref, Web of Science, Google Scholar
46. S.-S. Zhou, S. Rashid, M. A. Noor, K. I. Noor, F. Safdar and Y. M. Chu , AIMS Math. 5, 6874 (2020), https://doi.org/10.3934/math.2020441. Crossref, Web of Science, Google Scholar
47. Y.-M. Chu, S. Bilal and M. R. Hajizadeh , Math. Meth. Appl. Sci. 1 (2020), in press, https://doi.org/10.1002/mma.6937. Web of Science, Google Scholar
48. S.-S. Zhou, S. Rashid, F. Jarad, H. Kalsoom and Y.-M. Chu , Adv. Differ. Equ. 2020, 275 (2020), https://doi.org/10.1186/s13662-020-02730-w. Crossref, Web of Science, Google Scholar
49. Y.-M. Chu, M. R. Hajizadeh, Z. Li and Q.-V. Bach , J. Mol. Liq. 318, 114321 (2020), https://doi.org/10.1016/j.molliq.2020.114321. Crossref, Web of Science, Google Scholar
50. S. Yao, Y.-P. Xu and E. Ramezani , Energy Rep. 7, 218 (2021). Crossref, Web of Science, Google Scholar
51. S.-B. Chen, S. Rashid, Z. Hammouch, M. A. Noor, R. Ashraf and Y.-M. Chu , Adv. Differ._ Equ. (2020), in press, https://doi.org/10.1186/s13662-020-03108-82. Google Scholar
52. Y.-M. Chu, R. Moradi, A. M. Abazari and Q.-V. Bach , Int. J. Mod. Phys. C 32, 2150001 (2020), https://doi.org/10.1142/S0129183121500017. Link, Web of Science, ADS, Google Scholar
53. S.-B. Chen, S. Rashid, M. A. Noor, Z. Hammouch and Y.-M. Chu , Adv. Differ. Eq. (2020), in press, https://doi.org/10.1186/s13662-020-03000-5. Google Scholar
54. Y.-M. Chu, M. B. Almusawi, M. R. Hajizadeh, S.-W. Yao and Q.-V. Bach , Int. J. Mod. Phys. C 32, 2150061 (2021), https://doi.org/10.1142/S0129183121500613. Link, Web of Science, ADS, Google Scholar
55. M. Sheikholeslami, S. A. Farshad, Z. Ebrahimpour and Z. Said , J. Clean. Prod. 293, 126119 (2021), https://doi.org/10.1016/j.jclepro.2021.126119. Crossref, Web of Science, Google Scholar
56. S.-B. Chen, S. Rashid, M. A. Noor, R. Ashraf and Y.-M. Chu , AIMS Math. 5, 7041 (2020), https://doi.org/10.3934/math.2020451. Crossref, Web of Science, Google Scholar
57. Y.-M. Chu, D. Yadav, A. Shafee, Z. Li and Q.-V. Bach , J. Mol. Liq. 319, 114121 (2020), https://doi.org/10.1016/j.molliq.2020.114121. Crossref, Web of Science, Google Scholar
58. J. Wang, Y.-P. Xu, R. Qahiti, M. Jafaryar, M. A. Alazwari, N. H. Abu-Hamdeh, A. Issakhov and M. M. Selim , J. Pet. Sci. Eng. 208, 109734 (2022), in press. https://www.sciencedirect.com/science/article/abs/pii/S0920410521013589. Crossref, Web of Science, Google Scholar
59. H. Budak, S. Khan, M. A. Ali and Y.-Ming Chu , Open Math. 19, 724 (2021), https://doi.org/10.1515/math-2021-0029. Crossref, Web of Science, Google Scholar
60. M. Sheikholeslami, S. A. Farshad and Z. Said , Int. Commun. Heat Mass Transf. 123, 105190 (2021), https://doi.org/10.1016/j.icheatmasstransfer.2021.105190. Crossref, Web of Science, Google Scholar
61. E. Bellos, D. Korres, C. Tzivanidis and K. A. Antonopoulos , Sustain. Energy Technol. Assess. 16, 53 (2016). Web of Science, Google Scholar
62. A. Gallego, K. Cacua, B. Herrera, D. Cabaleiro, M. M. Piñeiro and L. Lugo , Adv. Powder Technol. 31, 560 (2020). Crossref, Web of Science, Google Scholar
63. R. Zhang, G. Q. P. Shen, M. Ni and J. K. W. Wong , Sustain. Energy Technol. Assess. 30, 164 (2018). Web of Science, Google Scholar
64. T. Bouhal, S. E.-D. Fertahi, Y. Agrouaz, T. El Rhafiki, Y. Zeraouli and A. Jamil , Sustain. Energy Technol. Assess. 26, 93 (2018). Web of Science, Google Scholar
65. T. Wang, A. Almarashi, Y. A. Al-Turki, N. H. Abu-Hamdeh, M. R. Hajizadeh and Y.-M. Chu , J. Mol. Liq. 329, 115052 (2020), https://doi.org/10.1016/j.molliq.2020.115052. Crossref, Web of Science, Google Scholar
66. M. Sheikholeslami and S. A. Farshad , Renew. Energy 171, 1128 (2021), https://doi.org/10.1016/j.renene.2021.02.137. Crossref, Web of Science, Google Scholar
67. T.-R. Huang, L. Chen, S.-Y. Tang and Y.-M. Chu , J. Math. Inequal. 15, 615 (2021). https://dx.doi.org/10.7153/jmi-2021-15-45. Crossref, Web of Science, Google Scholar
68. Y.-M. Chu, Z. Salahshoor, M. S. Shahraki, A. Shafee and Q.-V. Bach , Int. J. Mod. Phys. C 31, 2050168 (2020), https://doi.org/10.1142/S0129183120501685. Link, Web of Science, ADS, Google Scholar
69. Z.-X. Yu, M.-S. Li, Y.-P. Xu, S. Aslam and Y.-K. Li , Energies 14, 4597 (2021), https://doi.org/10.3390/en14154597. Crossref, Web of Science, Google Scholar
70. M. Sheikholeslami and S. A. Farshad , Int. Commun. Heat Mass Transf. 129, 105648 (2021), https://doi.org/10.1016/j.icheatmasstransfer.2021.105648. Crossref, Web of Science, Google Scholar
71. S.-Y. Tan, T.-R. Huang and Y.-M. Chu , Math. Slovaca 71(3), 667 (2021), https://doi.org/10.1515/ms-2021-0012. Crossref, Web of Science, Google Scholar
72. M. Khodadadi and M. Sheikholeslami , Int. J. Heat Mass Transf. 183, 122232 (2022), https://doi.org/10.1016/j.ijheatmasstransfer.2021.122232. Crossref, Web of Science, Google Scholar
73. F. Li, A. Almarashi, M. Jafaryar, M. R. Hajizadeh and Y.-M. Chu , Powder Technol. 381, 551 (2021). Crossref, Web of Science, Google Scholar
74. M. Imtiaz, T. Hayat and A. Alsaedi , Adv. Powder Technol. 27, 2214 (2016). Crossref, Web of Science, Google Scholar
75. E. Bellos and C. Tzivanidis , Sustain. Energy Technol. Assess. 26, 105 (2018). Web of Science, Google Scholar
76. S. Jaisankar, T. K. Radhakrishnan and K. N. Sheeba , Energy 34, 1054 (2009). Crossref, Web of Science, Google Scholar
77. S. Bhattacharyya, H. Chattopadhyay and A. Haldar , Beni-Suef Univ. J. Basic Appl. Sci. 7, 118 (2018). Google Scholar
78. A. A. Eidan, A. AlSahlani, A. Q. Ahmed, M. Al-fahham and J. M. Jalil , Solar Energy 173, 780 (2018). Crossref, Web of Science, ADS, Google Scholar
79. L. S. Sundar, M. K. Singh, V. Punnaiah and A. C. Sousa , Renew. Energy 119, 820 (2018). Crossref, Web of Science, Google Scholar
80. C. P. Falter and R. Pitz-Paal , Solar Energy 144, 569 (2017). Crossref, Web of Science, ADS, Google Scholar
81. L. S. Sundar, M. K. Singh and A. C. M. Sousa , Int. Commun. Heat Mass Transf. 52, 73 (2014). Crossref, Web of Science, Google Scholar
82. ANSYS® Academic research, release 18.1, ANSYS FLUENT, Theory Guide, ANSYS, Inc. Google Scholar
83. H. K. Versteeg and W. Malalasekera , An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2nd edn. (Pearson/Prentice Hall, Harlow, England, 2007). Google Scholar
84. T. Shih, W. W. Liou, A. Shabbir, Z. Yang and J. Zhu , Comput. Fluids. 24, 227 (1995), https://doi.org/10.1016/0045-7930(94)00032-T. Crossref, Web of Science, Google Scholar
85. R. M. Manglik and A. E. Bergles , J. Heat Transf. 115, 890 (1993). Crossref, Web of Science, Google Scholar
86. A. Shafee, M. Jafaryar, A. I. Alsabery, A. Zaib and H. Babazadeh , J. Thermal Anal. Calorimetry (2020), https://doi.org/10.1007/s10973-020-09563-5. Google Scholar
87. Y. A. Çengel and A. J. Ghajar , Heat and Mass Transfer: Fundamentals and Applications (McGraw Hill Education, 2015). Google Scholar
88. D. Kim, Y. Kwon, Y. Cho, C. Li, S. Cheong, Y. Hwang, J. Lee, D. Hong and S. Moon , Curr. Appl. Phys. 9, 119 (2009). Crossref, Web of Science, ADS, Google Scholar
89. Y.-M. Chu, B. M. Shankaralingappa, B. J. Gireesha, F. Alzahrani, M. Ijaz Khan, S. U. Khan , Appl. Math. Comput. (2021), https://doi.org/10.1016/j.amc.2021.126883. Google Scholar
90. T.-H. Zhao, M. I. Khan, Y.-M. Chu , Math. Methods Appl. Sci. (2021), https://doi.org/10.1002/mma.7310. Google Scholar
91. T.-H. Zhao, L. Shi, Y.-M. Chu , Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Mat. RACSAM 114, (14 pages) (2020), Paper No. 96, https://doi.org/10.1007/s13398-020-00825-3. Crossref, Web of Science, Google Scholar
92. M.-K. Wang, M.-Y. Hong, Y.-F. Xu, Z.-H. Shen, Y.-M. Chu , J. Math. Inequal. 14, 1 (2020). https://dx.doi.org/10.7153/jmi-2020-14-01. Crossref, Web of Science, Google Scholar
93. Y.-M. Chu, U. Nazir, M. Sohail, M. M. Selim, J-R. Lee , Fractal Fract. 5, Article 119 (17 pages) (2021), https://doi.org/10.3390/fractalfract5030119. Crossref, Web of Science, Google Scholar