شبیه‌سازی عددی ناحیه پخت کوره گندله‌سازی مطالعه موردی: مجتمع صنعتی معدنی گل-گهر سیرجان

نوع مقاله : مقاله مکانیک

نویسندگان

1 دانشیار، دانشکده مهندسی مکانیک، دانشگاه صنعتی سیرجان، سیرجان، ایران

2 کارشناس ارشد، دانشکده مهندسی مکانیک، دانشگاه صنعتی سیرجان، سیرجان، ایران

چکیده

در این پژوهش، به شبیه­سازی عددی مسیر عبور جریان­های داغ در ناحیه پخت کوره گندله­سازی مجتمع معدنی صنعتی گل­گهر سیرجان پرداخته شده­است. در این راستا، از نرم­افزار اوپن­فوم که از برنامه­های شیء­گرا و بر پایه یک زبان برنامه­نویسی مناسب است بهره برده­است. محدوده مورد بررسی شامل صفحه خروجی مشعل­ها، لوله­های داون­کامر، محفظه احتراق، فضای درون کوره و ویندباکس بوده و بستر گندله به صورت متخلخل فرض شده­است. جریان مورد نظر به صورت پایا، تراکم­پذیر و مغشوش فرض شده­است که از بستر گندله با درصد تخلخل یکنواخت عبور می­کند. برای مدل­سازی جریان مغشوش از یک مدل دو معادله­ای مناسب بهره گرفته شده­است. علاوه­براین، دیواره­های کوره عایق، گرادیان دما و فشار روی دیواره­ها صفر و شرط عدم لغزش برای شرط مرزی سرعت فرض شده­اند. نتایج حاصل از شبیه­سازی حاکی از انحراف جریان­های داغ گازی به سمت دیواره­های جانبی بوده که می­تواند به عنوان یک عامل مهم در خوردگی و کاهش عمر آن­ها تلقی شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Numerical Simulation of Pellet Furnace Firing Area Case Study: Golgohar Mining Industrial Complex in Sirjan

نویسندگان [English]

  • Mohammad Javad Mahmoodabadi 1
  • Mohsen Talebipour 2
1 Associate Professor, Department of Mechanical Engineering, Sirjan University of Technology, Sirjan, Iran
2 MSc, Department of Mechanical Engineering, Sirjan University of Technology, Sirjan, Iran
چکیده [English]

In this research, numerical simulation of the hot gas flow in the firing area of the pelletizing furnace in Golgohar mining-industrial complex is studied. In this regard, Open-Foam software as an objective-oriented program and based on a proper programming language is used. The considered area includes the outlet plane of the burners, the down comer pipes, the combustion chamber, the space of the furnace and the wind box, while the pellet bed is regarded as a porous media. The investigated flow is assumed as steady-state, compressible and turbulent that passes through the pellet bed having a uniform porosity percentage. In order to model the turbulent flow, an appropriate two-equations approach is employed. In addition, the walls of the furnace are assumed to be insulated, the gradients of the temperature and pressure on the walls are considered to be zero, and non-sliding condition is regarded for the boundary condition of the velocity. The simulation results illustrate that the hot gasses are diverted on the sidewalls, which could be considered as an important factor for corrosion and decreasing their life.
.

کلیدواژه‌ها [English]

  • Numerical simulation
  • Open-Foam software
  • Porous media
  • Steady-state flow
  • Compressible flow
  • Turbulent flow

مراجع

[1] G. Mukhopadhyay, and S. Bhattacharyya. “An Investigation on the Cracking of Pallet Side Walls at a Sinter Plant.” Journal of Failure Analysis and Prevention 12 (2012): 354–360.
[2] K. Sharifi, M. Sabeti, and H. Yousefi. “A good contribution of computational fluid dynamics (CFD) and GA-ANN methods to find the best type of helical wire inserted tube in heat exchangers.” International Journal of Thermal Sciences 154 (2020): 106398.
[3] R. Kim, S. Hong, and I. Lee. “Computational fluid dynamics for non-experts: Development of a user-friendly CFD simulator (HNVR-SYS) for natural ventilation design applications.” Biosystems Engineering 160 (2020): 107617.
[4] Z. Jiao, S. Yuan, and Q. Wang. “Optimization of dilution ventilation layout design in confined environments using Computational Fluid Dynamics (CFD).” Journal of Loss Prevention in the Process Industries 60 (2019): 195-202.
[5] R. Shen, Z. Jiao, and Q. Wang. “Recent application of Computational Fluid Dynamics (CFD) in process safety and loss prevention: A review.” Journal of Loss Prevention in the Process Industries 67 (2020): 104252.
[6] R.P.M. Moreira, A.C. Reina, and G.L. Puma. “Computational fluid dynamics (CFD) modeling of removal of contaminants of emerging concern in solar photo-Fenton raceway pond reactors.” Chemical Engineering Journal 413 (2020): 127392.
[7] D. Sun, X. Shi, and L. Zhang. “Spatiotemporal distribution of traffic emission based on wind tunnel experiment and computational fluid dynamics (CFD) simulation.” Journal of Cleaner Production 282 (2021): 124495.
[8] R.P.M. Moreira, and G.L.  Puma. “Multiphysics Computational Fluid-Dynamics (CFD) Modeling of Annular Photocatalytic Reactors by the Discrete Ordinates Method (DOM) and the Six-Flux Model (SFM) and Evaluation of the Contaminant Intrinsic Kinetics Constants.” Catalysis Today 361 (2020): 77-84.
[9] H. Ghafori. “Computational fluid dynamics (CFD) analysis of pipeline in the food pellets cooling system.” Journal of Stored Products Research 87 (2020): 101581.
[10] H. Yi, Y. Feng, and Q. Wang.“Computational fluid dynamics (CFD) study of heat radiation from large liquefied petroleum gas (LPG) pool fires.” Journal of Loss Prevention in the Process Industries 61 (2019): 262-274.
[11] F.S. Aureliano, L. Carlos, and V. Guedes. “Computational fluid dynamics (CFD): behavioral study and optimization of the blades number of a radial fan.” Procedia Manufacturing 38 (2019) 1324-1329.
[12] B.A. Cho, and R.W.M. Pott. “The development of a thermosiphon photobioreactor and analysis using Computational Fluid Dynamics (CFD).” Chemical Engineering Journal 363 (2019): 141-154.
[13] P.D. Tegenaw, M.G. Gebrehiwot, and M. Vanierschot. “On the comparison between computational fluid dynamics (CFD) and lumped capacitance modeling for the simulation of transient heat transfer in solar dryers.” Solar Energy 184 (2019): 417-425.
[14] N. Malekjani, and S.M.  Jafari. “Simulation of food drying processes by Computational Fluid Dynamics (CFD); recent advances and approaches.” Trends in Food Science & Technology 78 (2018): 206-223.
[15] O. Ahmadi, S.B. Mortazavi, and K. Sarvestani. “Modeling of boilover phenomenon consequences: Computational fluid dynamics (CFD) and empirical correlations.” Process Safety and Environmental Protection 129 (2019): 25-39.
[16] F. Moukalled, L. Mangani, and M. Darwish. “The Finite Volume Method in Computational Fluid Dynamics: An Advanced Introduction with OpenFOAM® and Matlab (Fluid Mechanics and Its Applications).” (2015).
[17] J. Nobrega, and H. Jasak. OpenFOAM®: Selected Papers of the 11th Workshop, Springer, 2019.
[18]  X. Zhou, D. Zhang, X. Li, J. Deng, W. Tian, S. Qiu, G. Su, X. He, and H. Yu. “Development of a neutron space–time kinetics solver with improved quasi-static method based on OpenFOAM.” Nuclear Engineering and Design 419 (2024): 112990.
[19] J. Wu, Z. Tang, and J. Cai. “Thermal-hydraulic analysis of LBE flow in rod bundles with wire spacers based on heat transfer framework of OpenFOAM.” Nuclear Engineering and Design 417 (2024): 112843.
[20] D. Price, N. Roskoff, M.I. Radaideh, and B. Kochunas. “Thermal Modeling of an eVinci™-like heat pipe microreactor using OpenFOAM.” Nuclear Engineering and Design 415 (2023): 112709.
[21] W. Ou, Z. Gong, Z. Gu, Q. Pan, L. Zhang, and J. Dai. “Preliminary development and verification of an OpenFOAM-based multi-physics coupling safety analysis code for Lead-based reactor.” Annals of Nuclear Energy 194 (2023): 110095.
[22] F. Dione, T. Cong, X. Zhang, M.A. Jayeola, and Z. Zhang. “Numerical study on the critical heat flux based on the two-phase multi-scale interface model using OpenFOAM.” Progress in Nuclear Energy 164 (2023): 104852.
[23] OpenFOAM, the Open Source CFD Toolbox, User Guide, Version 2.2.2, 28th September; http://www. openfoam. org/ doc.
مدل سازی در مهندسی
دوره 22، شماره 78
آبان 1403
صفحه 249-257

فایل ها

سابقه مقاله

  • تاریخ دریافت: 07 اردیبهشت 1402
  • تاریخ بازنگری: 25 بهمن 1402
  • تاریخ پذیرش: 29 بهمن 1402

هم رسانی

ارجاع به این مقاله

آمار