Optimization Design of Sand Washer Based on CFD-DEM Coupling
DOI:
https://doi.org/10.54691/5fhjxz27Keywords:
CFD-DEM; Vibrating Screen; Response Surface Optimization; Sand Washer; Numerical Simulation.Abstract
Sand washers play a crucial role in the oil drilling field. To improve the drilling cuttings screening efficiency of sand washers, it is necessary to optimize the structure of the sand washer's vibrating screen. This paper takes the vibrating screen of the sand washer as the research object and investigates how its screening performance is affected by multiple factors such as amplitude, frequency, vibration mode, and screen mesh. Firstly, the CFD-DEM method is adopted for numerical simulation to study the influence of the vibration parameters of the sand washer's vibrating screen on the screening efficiency. Secondly, in order to achieve the optimal drilling cuttings screening efficiency, a response surface optimization analysis with the maximum screening efficiency as the optimization objective is established using the simulation results under different parameters, and the optimal combination of various parameter values is determined. Finally, the reliability of the numerical simulation is verified by comparing the results of the sand washer experiment with the numerical simulation results.
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[1] Cochran G V, Gand R, Blossom B, Standard measurement of cardiac function indexes. Journal of Medical Ultrasonics. 33(1) (2006) 123-127.
[2] Cheng L, Ye X, Wang H, et al., A New Gas Logging Method Based on Semipermeable Film Degasser and Infrared Spectrum. Petrophysics 65(4) (2024) 17.
[3] Bravo M C, Cely A, Yerkinkyzy G, et al., A Novel Method to Map Heavy Oil Viscosity From Standard Mud Gas – A Field Case From the Peregrino Field. Petrophysics, 65(4) (2024) 12.
[4] Wu Z, APPLICATION OF FUZZY PATTERN RECOGNITION METHOD TO GAS LOGGING DATA INTERPRETATION. NATURAL GAS INDUSTRY, 20(4) (2000) 30-32.
[5] Li S, Cai W, Chen J,et al., Numerical study on the flow and heat transfer characteristics of forced convective condensation with propane in a spiral pipe. International Journal of Heat and Mass Transfer 117 (2018) 1169-1187.
[6] S.A. Marzouk, Fahad Awjah Almehmadi, et al., Effects of extended pin fins on the hydrothermal performance of double pipe heat exchanger. Thermal Science and Engineering Progress 55 (2024) 102915.
[7] Shang Mao, Tao Zhou, Dong Wei, Modeling of heat transfer of supercritical water in helical finned double pipe,International Journal of Heat and Mass Transfer 180 (2021) 121754.
[8] Wang D, Zang R, Wang G, et al., Numerical study of heat transfer performance and flow characteristic of water in a multi-wound pipe heat exchanger. Thermal Science and Engineering Progress 52 (2024) 102683.
[9] Zhang D, Zhao L, Dong H, et al., Experimental study on heat transfer and flow resistance characteristics of integral rolled spiral finned tube bundles heat exchangers. Case Studies in Thermal Engineering 52 (2023) 103689.
[10] Naim BA, Dheyaa JJ, Saman A, et al., Numerical exploration of the impact of fluid type in a uniquely designed shell and spiral tube heat exchanger. Case Studies in Thermal Engineering 61 (2024) 104798.
[11] Hossein K, Younes S, Pourya O, Comparison of heat transfer characteristics of a heat exchanger with straight helical tube and a heat exchanger with coiled flow reverser[J]. Applied Thermal Engineering 253 (2024) 123772.
[12] Wei-mei Quan, Wen-jing Sun, et al., Flow dynamics and heat transfer enhancement of single pulsed jet impingement in a confined crossflow channel, International Journal of Heat and Mass Transfer. 250 (2025) 127286.
[13] Soumaya Sokakini, Jules Voguelin Simo Tala, et al., Heat transfer enhancement in shell and tube Latent Heat Thermal Energy Storage units for waste heat recovery applications: A 3D numerical study on melting–solidification kinetics. Applied Thermal Engineering 274 (2025) 126564.
[14] Xiaoqin Liu, Min Wang, Hengheng Liu, et al., Numerical analysis on heat transfer enhancement of wavy fin-tube heat exchangers for air-conditioning applications. Applied Thermal Engineering.199 (2021) 117597.
[15] Antonio C. Caputo, Alessandro Federici et al., On the selection of design methodology for shell-and-tube heat exchangers optimization problems. Thermal Science and Engineering Progress34 (2022) 101384.
[16] Samet Gürgen, Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms. Case Studies in Thermal Engineering, 72 (2025)106405.
[17] He Dong, Zhile Yang, Hangcheng Yu, et al., A novel balanced teaching-learning-based optimization algorithm for optimal design of high efficiency plate-fin heat exchanger. Applied Thermal Engineering, 256 (2024) 124052.
[18] Huang X, Chen S, Zhou T, Sun Y, A Review of Genetic Algorithms for Solving Flexible Job Shop Scheduling Problems. Computer Integrated Manufacturing Systems 28 (2) (2022) 536-551.
[19] Qin Y, Tang T, Zhang L, Research on Dynamic Load Identification Based on Improved Genetic Algorithm, Vibration testing and diagnosis 45 (1) (2025) 146-153.
[20] Cheng XX, Numerical simulation of finned tube heat exchanger and multi-objective optimization design of structural parameters, East China University of Science and Technology, Nanchang, China (2021).
[21] Zhang T, Chen L, Wang J, Multi-objective optimization of elliptical tube fin heat exchangers based on neural networks and genetic algorithm. Energy 269 (2023) 126729.
[22] Petrovic M, Fukui K, Kominami K, Numerical and experimental performance investigation of a heat exchanger designed using topologically optimized fins. Applied Thermal Engineering 218 (2023) 119232.
[23] Li Y, Xu H, Guo P. CFD-DEM study on mixing and segregation characteristics of binary particles in a fluidized bed with secondary air, Adv. Powder Technol. 36(7) (2025) 104909.
[24] Qian Y, Usher S P, Scales P J, et al. Numerical simulation of particle consolidation under compression and shear based on the Discrete Element method. Adv. Powder Technol. 35(12) (2024) 104722.
[25] Liang Y, Cheng T, Li Q, Liu Q, Li J, Ma S, Jiang X, Wang H, Fu P, CFD-DEM simulation of cyclone self-rotation drying: Particle high-speed self-rotation and heat transfer. Energy 290 (2024) 130277.
[26] Shan Y, Jing J, Zhang Z, Sun J, Wang N, Zhuang L, Guo Y, Investigation of erosion behavior of particle-fluid flow in offshore platform T-pipes. International Journal of Pressure Vessels and Piping 209 (2024) 105174.
[27] Mazen M O, Faris S B, Thiana A S, Siamack A SExperimental and numerical assessments on solid particle erosion in upward vertical-horizontal and horizontal-vertical downward elbows for multiphase and gas-sand flows. Wear 524 (2023) 204812.
[28] Ma H, Zhou L, Liu Z, Chen M, Xia X, Zhao Y, A review of recent development for the CFD-DEM investigations of non-spherical particles. Powder Technology 412 (2022) 117972.
[29] Li Z, Chen H, Wu Y, Xu Z, Shi H, Zhang P, CFD-DEM analysis of hydraulic conveying of non-spherical particles through a vertical-bend-horizontal pipeline. Powder Technology 434 (2024) 119361.
[30] Meng HC, Ludema KC, Wear models and predictive equations:their form and content. Wear 181 (1995) 443-457.
[31] Vlasák P, Chára Z, Krupička J, Jiří K, Experimental investigation of coarse particles-water mixture flow in horizontal and inclined pipes. Journal of Hydrology and Hydromechanics 62 (3) (2014) 241-247.
[32] Alajbegovic A, Phase distribution and turbulence structure for solid/fluid upflow in a pipe. International Journal of Multiphase Flow 20 (3) (1994) 453-479.
[33] Sun Y, Chen Y, Wang B, Wu Y, Simulation Analysis of Corrosion of 90° Elbow in Heavy Oil Transportation Pipelines. Journal of Beijing University of Chemical Technology 47 (6) (2020) 40-46.
[34] Zhu HJ, Wang J, Ba B, Wu Z, Wang W, Numerical investigation of flow erosion and flow induced displacement of gas well relief line. Journal of Loss Prevention in the Process Industries 37 (2015) 19–32.
[35] Lin N, Lan HQ, Xu YG, Dong SH, Barber G Effect of the gas –solid two-phase flow velocity on elbow erosion. Journal of Natural Gas Science and Engineering 26 (2015) 581–586.
[36] Zhang Y, Reuterfors E P, Mclaury BS, Comparison of computed and measured particle velocities and erosion in water and air flows. Wear 263 (1) (2007) 330–338.
[37] Werbos PJ BEYOND REGRESSION: NEW TOOLS FOR PREDICTION AND ANALYSIS IN THE BEHAVIORAL SCIENCES, Harvard University, Cambridge, MA (1975).
[38] Vasconcelos S, Emerson HD, Mariani VC, Coelho LS Design of heat exchangers using Falcon Optimization Algorithm. Applied Thermal Engineering 156 (2019) 119-144.
[39] Q.Y. Chen, T. Xiong, X.Z. Zhang, P. Jiang, Study of the hydraulic transport of non-spherical particles in a pipeline based on the CFD-DEM, Engineering Applications of Computational Fluid Mechanics 14 (1) (2020) 53-69.
[40] M.M. Zhou, S. Wang, S.B. Kuang, K. Luo, J.R. Fan, A.B. Yu, CFD-DEM modelling of hydraulic conveying of solid particles in a vertical pipe, Powder Technology 354 (2019) 893-905.
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