Numerical simulation of immersion quench cooling process using an Eulerian multi-fluid approach

Srinivasan, V.; Moon, Kil-Min; Chapman, David G.; Wang, De Ming; Kim, Myung-hwan

doi:10.1016/j.applthermaleng.2009.10.012

Cited by 32 publications

(19 citation statements)

References 17 publications

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“…The heat transfer phenomena that occurs during immersion quenching is widely studied in numerous research fields [30][31][32]. A significant number of inverse techniques have been proposed and developed to solve problems of inverse heat transfer.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Parallelized Particle Swarm Optimization to Estimate the Heat Transfer Coefficients of Palm Oil, Canola Oil, Conventional, and Accelerated Petroleum Oil Quenchants

Fried

Felde

Otero

et al. 2018

Matls. Perf. Charact.

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Section: Methodsmentioning

confidence: 99%

“…. The velocity of each particle is also updated for each generation and is given by Srinivasan et al [30] as follows:…”

Section: Prediction Of Htcsmentioning

confidence: 99%

Parallelized Particle Swarm Optimization to Estimate the Heat Transfer Coefficients of Palm Oil, Canola Oil, Conventional, and Accelerated Petroleum Oil Quenchants

Fried

Felde

Otero

et al. 2018

Matls. Perf. Charact.

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“…In previous work [6], [7], vapour bubble condensation in the fluid domain is assumed to be negligible, the phasic static enthalpy equation is then described by…”

Section: Energy Equationmentioning

confidence: 99%

High Temperature Aluminium Plate Cooling by Water Impingement: Numerical Simulation With Adapted CFD Water Cooling Models and Experimental Validation

Kopun¹,

Ucsnik

Zhang

et al. 2019

Computational and Experimental Methods in Multiphase and Complex Flow X

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This paper outlines the recently improved Computational Fluid Dynamics (CFD) model to simulate the jet impingement quenching cooling process, validated with experimental data. The main application area of the presented method is heat treatment of cast aluminium alloy parts, known as continuous horizontal chill casting process, mostly used in the automotive and aerospace industries, where accurate heat treatment prediction plays an important role in conceptual and thermal analysis. The comparison between measurement data and numerical results has been carried out to simulate the real time jet impingement cooling process of a high temperature aluminium plate using the commercial CFD code AVL FIRE™. Recently, simulation methodology has been applied to cast cooling processes, successfully demonstrating its ability to simulate cooling effects from 500°C down to room temperature in a realistic manner. The Eulerian multi-fluid modelling approach is used to handle the boiling flow and the heat transfer between the heated structure and the sub-cooled liquid. While for the fluid region governing equations are solved for each phase separately, only the energy equation is solved in the solid region. Heat transfer coefficients depend on the boiling regimes which are separated by the variable Leidenfrost temperature and the levitation force. Simulation results are compared with available measurement data on different positions along the aluminium plate. The temperature histories predicted by the presented model correlate very well with the provided measurement data at different monitoring locations.

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“…One of them is the model for mass transfer prediction, as proposed by Wang et al [6], who assumed that the mass transfer rate due to boiling was proportional to the heat transfer rate in the fluid system. This model was later improved by Srinivasan et al [7], and it has already been implemented within the commercial computational fluid dynamics (CFD) code AVL FIRE ® where it is applied for the numerical simulations of quenching processes [8].…”

Section: Introductionmentioning

confidence: 99%

“…Published works like Wang et al [6], Srinivasan et al [7] and Greif et al [8], consider two separate domains, water and solid, which require separate simulations for each of them. The two simulations can be numerically coupled at the contact interface and communicate via the so-called ACCI (AVL code coupling interface) method after each time-step.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigations of Quenching Cooling Processes for Different Cast Aluminum Parts

Kopun¹,

Škerget

Hriberšek

et al. 2014

SV-JME

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This paper discusses a recently improved computational fluid dynamics (CFD) methodology for virtual experimental investigation of the heat treatment for cast aluminium parts. The immersion quenching process of the heated work piece in a sub-cooled liquid pool is handled by employing the Eulerian multi-fluid modeling approach, which is implemented within the commercial CFD code AVL FIRE ®. The applied heat and mass transfer rate is modeled based on a different boiling regime, which is controlled by the Leidenfrost temperature. The objective of the presented research is to present an updated quenching model by applying variable Leidenfrost temperatures. Furthermore, simulation results are compared with available measurements for a wide variety of quenching scenarios involving immersion cooling of the step plate and real cylinder head with different solid parts' orientations. The temperature histories predicted by the presented model fit very well with the available experimental data at different monitoring locations.

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Numerical simulation of immersion quench cooling process using an Eulerian multi-fluid approach

Cited by 32 publications

References 17 publications

Parallelized Particle Swarm Optimization to Estimate the Heat Transfer Coefficients of Palm Oil, Canola Oil, Conventional, and Accelerated Petroleum Oil Quenchants

Parallelized Particle Swarm Optimization to Estimate the Heat Transfer Coefficients of Palm Oil, Canola Oil, Conventional, and Accelerated Petroleum Oil Quenchants

High Temperature Aluminium Plate Cooling by Water Impingement: Numerical Simulation With Adapted CFD Water Cooling Models and Experimental Validation

Numerical Investigations of Quenching Cooling Processes for Different Cast Aluminum Parts

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