Analysis and optimization of open micro-channel heat sink with pin Fins by modified grey relational optimization
Abstract
This work successfully utilized grey relational optimization in conjunction with the standard deviation objective weighting approach to improve various response parameters in a microchannel heat sink with pin fins, including: the surface Nusselt number and total surface heat flux. Six process parameters were chosen for the simulation research of the open microchannel heat sink with pin fins based on the L-27 orthogonal array. These parameters are heat sink length (L), heat sink width (W), number of fins (N), fin height (a), base height (b) and fin thickness (d). The surface Nusselt number and total surface heat flux were selected as the output parameters. This work aids in understanding the effect of various parameters on the open microchannel heat sink with pin fins. The standard deviation objective weighting - grey relational optimization method optimized the process parameters. ANSYS Fluent software was utilized to simulate the entire open microchannel heat sink with pin fins according to the L-27 orthogonal array. The optimal configuration for the process parameters was determined to be a heat sink length of 80 mm, width of 100 mm, 5 fins, fin height of 30 mm, base height of 8 mm and fin thickness of 2 mm. Among these parameters, the number of fins was found to be the most influential factor, followed by base height, fin thickness, width of the heat sink, fin height, and length of the heat sink. The findings indicate that these parameters play a critical role in the thermal performance optimization of microchannel heat sinks.
References
H.A. Mohammed, P. Gunnasegaran, and N.H. Shuaib, “Influence of channel shape on the thermal and hydraulic performance of microchannel heat sink,” Int. Commun. Heat Mass Transf., vol. 38, no. 4, pp. 474–480, 2011.
Y. Xie, T.U.K.Nutakki, D. Wang, X. Xu, Y. Li., M.N. Khan, and R. Chen “Multi-objective optimization of a microchannel heat sink with a novel channel arrangement using artificial neural network and genetic algorithm,” Case Stud. Therm. Eng., vol. 53, no. September 2023, 2024
Y. Wang, M. Lou, Y. Wang, C. Fan, C. Tian, and X. Qi, “Experimental investigation of the effect of rotation rate and current speed on the dynamic response of riserless rotating drill string,” Ocean Eng., vol. 280, pp. 114542, 2023.
D. Jung, H. Lee, D. Kong, E. Cho, K. Jung, C R. Kharangate, M. Iyengar e, C. Malone, M. Asheghi, K. E. Goodson, and H. Lee, “Thermal design and management of micro-pin fin heat sinks for energy-efficient three-dimensional stacked integrated circuits,” Int. J. Heat Mass Transf., vol. 175, pp. 121192, 2021.
R. Moosavi, M. Banihashemi, C.-X. Lin, and P.-Y. Abel Chuang, “Combined effects of a microchannel with porous media and transverse vortex generators (TVG) on convective heat transfer performance,” Int. J. Therm. Sci., vol. 166, pp. 106961, 2021.
M.K. Mohit and R. Gupta, “Numerical investigation of the performance of rectangular micro-channel equipped with micro-pin-fin,” Case Stud. Therm. Eng., vol. 32, no. October 2021, pp. 101884, 2022.
L.K. Pan, C.C. Wang, Y.C. Hsiao, and K.C. Ho, “Optimization of Nd:YAG laser welding onto magnesium alloy via Taguchi analysis,” Opt. Laser Technol., vol. 37, no. 1, pp. 33–42, 2005.
A.G. Paleocrassas and J.F. Tu, “Low-speed laser welding of aluminum alloy 7075-T6 using a 300-W, single-mode, ytterbium fiber laser,” Weld. J. (Miami, Fla), vol. 86, no. 6, pp. 179–186, 2007.
A.N. Haq, P. Marimuthu, and R. Jeyapaul, “Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using grey relational analysis in the Taguchi method,” Int. J. Adv. Manuf. Technol., vol. 37, no. 3–4, pp. 250–255, 2008.
P. Bhandari, K.S. Rawat, Y.K. Prajapati, D. Padalia, L. Ranakoti, and T. Singh, “Design modifications in micro pin fin configuration of microchannel heat sink for single phase liquid flow: A review,” J. Energy Storage, vol. 66, no. November 2022, pp. 107548, 2023.
M. Harris, H. Wu, W. Zhang, and A. Angelopoulou, “Overview of recent trends in microchannels for heat transfer and thermal management applications,” Chem. Eng. Process. - Process Intensif., vol. 181, no. May, pp. 109155, 2022.
M. Tabatabaei Malazi, K. Kaya, and A.S. Dalkılıç, “A computational case study on the thermal performance of a rectangular microchannel having circular pin-fins,” Case Stud. Therm. Eng., vol. 49, no. June, pp. 103111, 2023.
A. Ravanji, A. Lee, J. Mohammadpour, and S. Cheng, “Critical review on thermohydraulic performance enhancement in channel flows: A comparative study of pin fins,” Renew. Sustain. Energy Rev., vol. 188, no. October, pp. 113793, 2023.
Y. Pan, R. Zhao, Y. Nian, and W. Cheng, “Study on the flow and heat transfer characteristics of pin-fin manifold microchannel heat sink,” Int. J. Heat Mass Transf., vol. 183, pp. 122052, 2022.
N.K. Singh, S. Balaguru, R.K. Rathore, A.K. Namdeo, and A. Kaimkuriya, “Multi-Criteria Decision-Making Technique for Optimal Material Selection of AA7075/SiC Composite Foam using COPRAS Technique,” J. Mines, Met. Fuels, vol. 71, no. 10, pp. 1374–1379, 2023.
Y. Koli, N. Yuvaraj, S. Aravindan, and Vipin, “Multi-response mathematical model for optimization of process parameters in CMT welding of dissimilar thickness AA6061-T6 and AA6082-T6 alloys using RSM-GRA coupled with PCA,” Adv. Ind. Manuf. Eng., vol. 2, no. April, pp. 100050, 2021.
S.V. Gosavi and M.D.Jaybhaye, “Friction stir welding process optimization of Al 7075/SiC composites using grey relational analysis,” Mater. Today Proc., vol. 72, pp. 719–723, 2023.
M.P. Prabakaran and G.R. Kannan, “Optimization of laser welding process parameters in dissimilar joint of stainless steel AISI316/AISI1018 low carbon steel to attain the maximum level of mechanical properties through PWHT,” Opt. Laser Technol., vol. 112, no. October 2018, pp. 314–322, 2019.
Y. Xu and Z. Cai, “Standard deviation method for determining the weights of group multiple attribute decision making under uncertain linguistic environment,” Proc. World Congr. Intell. Control Autom., no. July, pp. 8311–8316, 2008.
R. Sharma, M.K. Pradhan, and P. Jain, “Optimal selection of an AA8011 reinforced nano Si3N4 composite using multi criteria decision-making method,” Mater. Today Proc., vol. 56, pp. 1399–1405, 2022.
D. Deng, T. Li, Z. Huang, H. Jiang, S. Yang, and Y. Zhang, “Multi-response optimization of laser cladding for TiC particle reinforced Fe matrix composite based on Taguchi method and grey relational analysis,” Opt. Laser Technol., vol. 153, no. April, pp. 108259, 2022.
