2018
DOI: 10.1051/matecconf/201824005008
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Steady state CFD analysis of heat transfer coefficient in pressurised pipes of super-heater of OP210 steam boiler

Abstract: The aim of the paper is Computational Fluid Dynamics (CFD) analysis of Wall Heat Transfer Coefficient (WHTC) of pressurized pipe as a part of super-heater of the OP210 boiler. The object of the investigation is convection from saturated steam to the wall of the pipe, which works under high pressure and high temperature. The analysis is an approach to obtain exact solutions of WHTC according to the third type boundary condition compared to direct results from CFD analysis. The paper consists of three-step appro… Show more

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Cited by 5 publications
(2 citation statements)
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“…In terms of that and at the basis of the fluid mechanic and finite volume method theory, discretization of the boundary layer should be prepared properly. In this case, only fully turbulent flow occurs, so the most important is dimensionless y+ parameter that is very useful for velocity profile description [3,4,5]. Another important criterion is the mesh quality, where poor mesh orthogonality has enough influence, to make solution of the simulation distant from the reality [6].…”
Section: Steady State Analysismentioning
confidence: 99%
“…In terms of that and at the basis of the fluid mechanic and finite volume method theory, discretization of the boundary layer should be prepared properly. In this case, only fully turbulent flow occurs, so the most important is dimensionless y+ parameter that is very useful for velocity profile description [3,4,5]. Another important criterion is the mesh quality, where poor mesh orthogonality has enough influence, to make solution of the simulation distant from the reality [6].…”
Section: Steady State Analysismentioning
confidence: 99%
“…The subsequent phase of the research involved creating an appropriate mesh. The relevant boundary layer was established, with the dimensionless parameter 'y + ' equating to one [33]. Discretization is imperative due to the significant impact of discretization errors on the simulation outcomes.…”
mentioning
confidence: 99%