ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Electromagnetic control of the instability in the liquid metal flow over a backward-facing step |
Ya-Dong Huang(黄亚冬)1,2, Jia-Wei Fu(付佳维)2, and Long-Miao Chen(陈龙淼)2,† |
1 Jiangsu University, Zhenjiang 212013, China; 2 Nanjing University of Science and Technology, Nanjing 210094, China |
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Abstract The tile-type electromagnetic actuator (TEA) and stripe-type electromagnetic actuator (SEA) are applied to the active control of the perturbation energy in the liquid metal flow over a backward-facing step (BFS). Three control strategies consisting of base flow control (BFC), linear model control (LMC) and combined model control (CMC) are considered to change the amplification rate of the perturbation energy. CMC is the combination of BFC and LMC. SEA is utilized in BFC to produce the streamwise Lorentz force thus adjusting the amplification rate via modifying the flow structures, and the magnitude of the maximum amplification rate could reach to 6 orders. TEA is used in LMC to reduce the magnitude of the amplification rate via the wall-normalwise Lorentz force, and the magnitude could be decreased by 2 orders. Both TEA and SEA are employed in CMC where the magnitude of the amplification rate could be diminished by 3 orders. In other words, the control strategy of CMC could capably alter the flow instability of the liquid metal flow.
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Received: 01 July 2022
Revised: 25 September 2022
Accepted manuscript online: 10 October 2022
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PACS:
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47.20.-k
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(Flow instabilities)
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47.85.L-
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(Flow control)
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Fund: Project supported by the National Natural Science Foundation of China (Grant No. U2141246). |
Corresponding Authors:
Long-Miao Chen
E-mail: chenlongmiao@njust.edu.cn
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Cite this article:
Ya-Dong Huang(黄亚冬), Jia-Wei Fu(付佳维), and Long-Miao Chen(陈龙淼) Electromagnetic control of the instability in the liquid metal flow over a backward-facing step 2022 Chin. Phys. B 31 124701
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[1] Deng Y G, Jiang Y and Liu J 2021 Appl. Therm. Eng. 193 117021 [2] Heinzel A, Hering W, Konys J, Marocco L, Litfin K, Müller G, Pacio J, Schroer C, Stieglitz R, Stoppel L, Weisenburger A and Wetzel T 2017 Energy Technol. 5 1026 [3] Kirillov P L 2018 Atom. Energy 124 238 [4] Miner A and Ghoshal U 2004 Appl. Phys. Lett. 85 506 [5] Li P P and Liu J 2011 Appl. Phys. Lett. 99 094106 [6] Panchadar K, West D, Taylor J A and Krupenkin T 2019 Appl. Phys. Lett. 114 093901 [7] Kherbeet A S, Safaei M R, Salman B H, Mohammed H A, Ahmed H E, Alawi O A and Khazaai M T 2016 Int. Commun. Heat Mass Transf. 76 237 [8] Iwai H, Nakabe K and Suzuki K 2000 Int. J. Heat Mass Transf. 43 457 [9] Juste G L, Fajardo P and Guijarro A 2016 Phys. Fluids 28 074106 [10] Blackburn H M, Barkley D and Sherwin S J 2008 J. Fluid Mech. 603 271 [11] Ghia K N, Osswald G A and Ghia U 1989 Int. J. Numer. Methods Fluids 9 1025 [12] Barkley D, Gomes M G M and Henderson R 2002 J. Fluid Mech. 473 167 [13] Lanzerstorfer D and Kuhlmann H C 2012 J. Fluid Mech. 693 1 [14] Kaiktsis L, Karniadakis G E and Orszag S 1996 J. Fluid Mech. 321 157 [15] Velazquez A, Arias J R and Mendez B 2008 Int. J. Heat Mass Transf. 51 2075 [16] Mehrez Z, Bouterra M, Cafsi A E, Belghith A and Quere P L 2009 Heat Mass Transf. 46 107 [17] Oyakawa K, Taira T, Senaha I and Nosoko T 1995 Int. Commun. Heat Mass Transf. 22 343 [18] Li Z Y, Guo S, Bai H L and Gao N 2019 Int. J. Heat Mass Transf. 130 240 [19] Hilo A K, Talib A R A, Iborra A A, Sultan M T H and Hamid M F A 2020 Energy 190 116294 [20] Kumar S and Vengadesan S 2018 Numer. Heat Tranf. A-Appl. 73 366 [21] Modestov M, Kolemen E, Fisher A E and Hvasta M G 2018 Nucl. Fusion 58 016009 [22] Hvasta M G, Kolemen E, Fisher A E and Ji H 2018 Nucl. Fusion 58 016022 [23] Cho S and Hong S H 1998 J. Phys. D-Appl. Phys. 31 2754 [24] Albrecht T, Stiller J, Metzkes H, Weier T and Gerbeth G 2013 Eur. Phys. J.-Spec. Top. 220 275 [25] Huang T D, ZHOU B M, Tang Z L and Zhang F 2017 Phys. Fluids 29 074105 [26] Hervé A, Sipp D, Schmid P J and Samuelides M A 2012 J. Fluid Mech. 702 26 [27] Gautier N and Aider J L 2014 J. Fluid Mech. 759 181 [28] Ljung L 1999 System Identification: Theory for the User, 2nd edn. (Prentice Hall) [29] Du Y Q and Karniadakis G E 2000 Science 288 1230 [30] Rossi L and Thibault J P 2002 J. Turbul. 3 N5 [31] Sipp D and Schmid P J 2016 Appl. Mech. Rev. 68 020801 [32] Blackburn H M, Lee D, Albrecht T and Singh J 2019 Comput. Phys. Commun. 245 106804 [33] Barkley D, Blackburn H M and Sherwin S J 2008 Int. J. Numer. Meth. Fluids 57 1435 [34] Mao X R 2015 J. Fluid Mech 771 229 |
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