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Smoothed Particle Hydrodynamics modeling of transient conduction and convection heat transfer
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi. (SOFIA)ORCID-id: 0000-0002-9490-9703
University of VIGO, Spain.
University of VIGO, Spain.
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi. (SOFIA)ORCID-id: 0000-0001-8849-7661
Vise andre og tillknytning
(engelsk)Manuskript (preprint) (Annet vitenskapelig)
Abstract [en]

Smoothed Particle Hydrodynamics (SPH) is a mesh-free particle method that has been widely used in the last years to model some complex flows. SPH was mainly used to investigate problems related to hydrodynamics and maritime engineering where heat transfer is of no importance. Thermal problems have seldom been addressed due to the limitation of the main commercial and open-source SPH codes.

In this article, the energy equation is implemented in the SPH based open-source code DualSPHysics to solve conduction and forced convection heat transfer problems. Laminar flow cases are simulated as the first validation cases of the implemented model. The studied cases include conduction in an aluminum block, conduction in still water in a cavity, laminar water flow between two infinite parallel plates and tube bank heat exchanger. The thermal solutions obtained from SPH are benchmarked with the solutions from Finite Volume Method (FVM) and also validated using available analytical solutions. The obtained results are in good agreement with FVM and available analytical models, which combined with the advantages of the meshless approach, show the high potential for industrial heat transfer applications.

This development is an important step towards thermal optimization of several industrial applications that can’t benefit from the conventional FVM approach due to geometry or process complexities. The demonstrated SPH simulation and visualization capabilities contribute to build the future reliable energy-saving solutions.

Emneord [en]
Smoothed Particle Hydrodynamics, Finite Volume Method, transient heat transfer, CFD analysis
HSV kategori
Forskningsprogram
energi- och miljöteknik
Identifikatorer
URN: urn:nbn:se:mdh:diva-41276OAI: oai:DiVA.org:mdh-41276DiVA, id: diva2:1260304
Prosjekter
MR-OMDOTilgjengelig fra: 2018-11-01 Laget: 2018-11-01 Sist oppdatert: 2018-12-11bibliografisk kontrollert
Inngår i avhandling
1. Fluid Flow and Heat Transfer Simulations for Complex Industrial Applications: From Reynolds Averaged Navier-Stokes towards Smoothed Particle Hydrodynamics
Åpne denne publikasjonen i ny fane eller vindu >>Fluid Flow and Heat Transfer Simulations for Complex Industrial Applications: From Reynolds Averaged Navier-Stokes towards Smoothed Particle Hydrodynamics
2018 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Optimal process control can significantly enhance energy efficiency of heating and cooling processes in many industries. Process control systems typically rely on measurements and so called grey or black box models that are based mainly on empirical correlations, in which the transient characteristics and their influence on the control parameters are often ignored. A robust and reliable numerical technique, to solve fluid flow and heat transfer problems, such as computational fluid dynamics (CFD), which is capable of providing a detailed understanding of the multiple underlying physical phenomena, is a necessity for optimization, decision support and diagnostics of complex industrial systems. The thesis focuses on performing high-fidelity CFD simulations of a wide range of industrial applications to highlight and understand the complex nonlinear coupling between the fluid flow and heat transfer. The industrial applications studied in this thesis include cooling and heating processes in a hot rolling steel plant, electric motors, heat exchangers and sloshing inside a ship carrying liquefied natural gas. The goal is to identify the difficulties and challenges to be met when simulating these applications using different CFD tools and methods and to discuss the strengths and limitations of the different tools.

The mesh-based finite volume CFD solver ANSYS Fluent is employed to acquire detailed and accurate solutions of each application and to highlight challenges and limitations. The limitations of conventional mesh-based CFD tools are exposed when attempting to resolve the multiple space and time scales involved in large industrial processes. Therefore, a mesh-free particle method, smoothed particle hydrodynamics (SPH) is identified in this thesis as an alternative to overcome some of the observed limitations of the mesh-based solvers. SPH is introduced to simulate some of the selected cases to understand the challenges and highlight the limitations. The thesis also contributes to the development of SPH by implementing the energy equation into an open-source SPH flow solver to solve thermal problems. The thesis highlights the current state of different CFD approaches towards complex industrial applications and discusses the future development possibilities.

The overall observations, based on the industrial problems addressed in this thesis, can serve as decision tool for industries to select an appropriate numerical method or tool for solving problems within the presented context. The analysis and discussions also serve as a basis for further development and research to shed light on the use of CFD simulations for improved process control, optimization and diagnostics.

sted, utgiver, år, opplag, sider
Västerås: Mälardalen University, 2018
Serie
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 282
Emneord
Computational Fluid Dynamics, Heat transfer, Industrial applications, Reynolds Averaged Navier-Stokes, Smoothed Particle Hydrodynamics, Energy enginnering, Thermal Management, Process control
HSV kategori
Forskningsprogram
energi- och miljöteknik
Identifikatorer
urn:nbn:se:mdh:diva-41277 (URN)978-91-7485-415-2 (ISBN)
Disputas
2018-12-14, Delta, Mälardalens högskola, Västerås, 13:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2018-11-02 Laget: 2018-11-01 Sist oppdatert: 2018-11-12bibliografisk kontrollert

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