CFD Simulation of Heat Transfer and Applications

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 4447

Special Issue Editor


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Guest Editor
Department of Civil Engineering and Architecture, School of Engineering, Tallinn University of Technology, Ehitajate tee 5, 12616 Tallinn, Estonia
Interests: multiphase flows; numerical modelling; turbulence; CFD

Special Issue Information

Dear Colleagues,

Numerical simulation plays an essential complementary role in understanding thermal and fluid dynamics phenomena in nature, and it has vast industrial applications. For decades, CFD simulations have been performed to understand physics, predict flow characteristics in different applications, and avoid expenses associated with the experimental setup. The scientific literature includes various CFD modeling approaches with different assumptions and boundary conditions that have provided countless results. Scientific society is still debating on the degree of the accuracy of these methods. In subsonic turbulent flows, there are three main basic methods: Reynolds Averages Navier–Stokes Simulation (RANS), Direct Numerical Simulation (DNS), and Large Eddy Simulation (LES). In more general cases such as in multiphase flows, these three methods are successfully applied. In this case, the particulate phase is usually taken as in a frame of the Eulerian–Eulerian (EE) or two-fluid approach, where both carrier fluid and particulate phase are considered as continuous phases, or/and in a frame of the Lagrangian–Eulerian (LE) approach, where one can deal with continued fluid phase by applying the Euler approach and the motion of single particles (solid, droplets or bubbles) related to a discrete particulate phase, which is modeled by the Lagrangian approach. So, in this Special Issue, we focus on subsonic single- and multiphase thermo-and fluid dynamics’ applicability, which are frequently met in various industrial performances.

Dr. Aleksander Kartushinsky
Guest Editor

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Keywords

  • fluid mechanics
  • thermodynamics
  • numerical simulations
  • single phase
  • multi-phase flows
  • subsonic regime

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Published Papers (4 papers)

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Research

17 pages, 5265 KiB  
Article
Enhancing Energy Efficiency of Thermomagnetic Generators: A Comprehensive Study on Frequency and Heat Dissipation
by Abdulrahman Homadi and Abd Alhamid Rafea Sarhan
Mathematics 2024, 12(8), 1222; https://doi.org/10.3390/math12081222 - 18 Apr 2024
Viewed by 795
Abstract
This study explores the design and optimization of thermomagnetic generators with a primary emphasis on enhancing energy efficiency. The core objectives revolve around improving power generation and efficient heat dissipation. We conducted an extensive investigation, systematically varying parameters such as dimensions, coil turns, [...] Read more.
This study explores the design and optimization of thermomagnetic generators with a primary emphasis on enhancing energy efficiency. The core objectives revolve around improving power generation and efficient heat dissipation. We conducted an extensive investigation, systematically varying parameters such as dimensions, coil turns, and material properties, including temperatures and magnetization. At the heart of this research lies the utilization of the variable magnetic susceptibility of ferromagnetic–paramagnetic materials within distinct temperature zones. Gadolinium (Gd) was selected due to its unique Curie temperature (TC) closely aligned with room temperature. The Gd disk’s motion serves a dual purpose—acting as a heat conveyor from source to sink and inducing voltages. The synergy between a copper wire coiled around the Gd disk and the magnetic field generated by a permanent magnet (PM) facilitates voltage induction. The dynamic motion of the Gd disk, driven by changes in net forces (permanent magnet force, gravity force, and spring force), powers this energy conversion process. This versatile technique holds promise across various applications, especially in scenarios characterized by significant waste heat, such as engines and solar panels. Our multifaceted optimization approach not only enhances our understanding of thermomagnetic generators but also underscores their potential as sustainable and efficient contributors to energy solutions. Full article
(This article belongs to the Special Issue CFD Simulation of Heat Transfer and Applications)
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27 pages, 11944 KiB  
Article
The Co-Processing Combustion Characteristics of Municipal Sludge within an Industrial Cement Decomposition Furnace via Computational Fluid Dynamics
by Ling Zhu, Ya Mao, Kang Liu, Chengguang Tong, Quan Liu and Qiang Xie
Mathematics 2024, 12(1), 147; https://doi.org/10.3390/math12010147 - 2 Jan 2024
Viewed by 927
Abstract
Dealing with municipal sludge in an effective way is crucial for urban development and environmental protection. Co-processing the sludge by burning it in a decomposition furnace in the cement production line has been found to be a viable solution. This work aims to [...] Read more.
Dealing with municipal sludge in an effective way is crucial for urban development and environmental protection. Co-processing the sludge by burning it in a decomposition furnace in the cement production line has been found to be a viable solution. This work aims to analyze the effects of the co-disposal of municipal sludge on the decomposition reactions and NOx emissions in the decomposing furnaces. Specifically, a practical 6000 t/d decomposition furnace was taken as the research object. To achieve this, ANSYS FLUENT with a UDF (user-defined function) was applied to establish a numerical model coupling the limestone decomposition reaction, fuel combustion, and NOx generation and reduction reactions. The flow, temperature, and component field distributions within the furnace with no sludge were firstly simulated with this model. Compared with site test results, the model was validated. Then, with sludge involved, the structure and operation parameters of the decomposition furnace for the co-disposal of municipal sludge were investigated by simulating the flow field, temperature field, and component field distributions. Parametric studies were carried out in three perspectives, i.e., sludge mixing ratio, preheating furnace arrangement height, and sludge particle size. The results show that all three aspects have great importance in the discomposing process. A set of preferable values, including a sludge mixing ratio of 10%, preheating furnace height of 21.5 m, and sludge particle diameter of 1.0 mm, was obtained, which resulted in a raw material decomposition rate of 89.9% and a NO volume fraction of 251 ppm at the furnace outlet. Full article
(This article belongs to the Special Issue CFD Simulation of Heat Transfer and Applications)
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19 pages, 35618 KiB  
Article
Research and Development of an Industrial Denitration-Used Burner with Multiple Ejectors via Computational Fluid Dynamics Analysis
by Chengguang Tong, Zuobing Chen, Xin Chen and Qiang Xie
Mathematics 2023, 11(16), 3476; https://doi.org/10.3390/math11163476 - 11 Aug 2023
Cited by 1 | Viewed by 1062
Abstract
Nowadays, since the air pollution problem is becoming global and denitrification is efficient to control nitrogen oxides, research and development of burners with low pollutant emissions in industries are urgent and necessary due to the increasingly severe environmental requirements. Based on the advanced [...] Read more.
Nowadays, since the air pollution problem is becoming global and denitrification is efficient to control nitrogen oxides, research and development of burners with low pollutant emissions in industries are urgent and necessary due to the increasingly severe environmental requirements. Based on the advanced CFD (computational fluid dynamics) numerical analysis technique, this work focuses on developing an industrial denitration-used burner, aiming to decrease the emission of nitrogen oxides. A burner with multiple ejectors is proposed, and the gas premixing and combustion process in the burner are systematically studied. Firstly, for the ejector, the well-known orthogonal experiment method is adopted to reveal the premixing performance under different structural parameters. Results show that the angle and number of swirl blades have significant effects on the CO mixing uniformity. The CO mixing uniformity first decreases and then increases with thr rising swirl blade angle, and it enhances with more swirl blades. Through comparison, a preferred ejector is determined with optimal structure parameters including the nozzle diameter of 75 mm, the ejector suction chamber diameter of 290 mm, the blade swirl angle of 45, and the swirl blade number 16. And then, the burners installed with the confirmed ejector and two types of flues, i.e., a cylindrical and a rectangular one, are simulated and compared. The effects of ejector arrangements on the temperature distributions at the burner outlet are analyzed qualitatively and quantitatively. It is found that the temperature variances at the outlets of R2 and C1 are the smallest, respectively, 13.12 and 23.69, representing the optimal temperature uniformity under each type. Finally, the burner of the R2 arrangement is verified with a satisfied premixing performance and combustion temperature uniformity, meeting the denitration demands in the industry. Full article
(This article belongs to the Special Issue CFD Simulation of Heat Transfer and Applications)
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15 pages, 3283 KiB  
Article
Eulerian–Eulerian RSTM-PDF Modeling of Turbulent Particulate Flow
by Aleaxander Kartushinsky, Efstathios E. Michaelides, Medhat Hussainov, Igor Shcheglov and Ildar Akhmadullin
Mathematics 2023, 11(12), 2647; https://doi.org/10.3390/math11122647 - 9 Jun 2023
Cited by 2 | Viewed by 949
Abstract
A novel 3D computational model was developed for the turbulent particulate two-phase flow simulation in the rectangular channel. The model is based on the Eulerian approach applied to 3D Reynolds-averaged Navier–Stokes modeling and statistical Probability Distribution Function method. The uniqueness of the method [...] Read more.
A novel 3D computational model was developed for the turbulent particulate two-phase flow simulation in the rectangular channel. The model is based on the Eulerian approach applied to 3D Reynolds-averaged Navier–Stokes modeling and statistical Probability Distribution Function method. The uniqueness of the method lies in the direct calculation of normal and transverse components of the Reynolds stresses for both gas and particles. Two cases were examined: a conventional channel flow and grid-generated turbulence flow. The obtained numerical results have been verified and validated by the experimental data, received from the turbulent particle dispersion test. The computed values of the particles’ turbulent dispersion and the maximum value of the particulate concentration distribution show good agreement with the experimental results. The examples are ranged from coal and other bulk material pneumatic transport, vertical fluidized beds, coal gasifiers, and chemical reactors. Full article
(This article belongs to the Special Issue CFD Simulation of Heat Transfer and Applications)
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