Numerical simulation of immersion quenching process for cast aluminium part at different pool temperatures

Kopun, Rok; Škerget, L.; Hriberšek, Matjaž; Zhang, Dongsheng; Stauder, Bernhard; Chapman, David G.

doi:10.1016/j.applthermaleng.2013.12.058

Cited by 31 publications

(25 citation statements)

References 16 publications

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“…where C LEVI stands for the levitation coefficient,  v is the vapour phase viscosity, is the mass change rate due to boiling and  is the vapour film thickness, which typically in the range of 10-100 m. It should be noticed that this kind of levitation force, eqn (6), is also found in the work of Erickson and Williams [3]. The vapour layer causes lifetime extension of Leidenfrost drops, and according to Bianche et al [4], it is given by…”

Section: Levitation Forcementioning

confidence: 69%

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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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Section: Levitation Forcementioning

confidence: 69%

“…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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“…8f), where the uniform temperature had already been establish for the thin part up position. Detailed comparison between different pool temperatures can be obtained from Kopun et al [18].…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…where the corresponding heat flux is computed as Q CHF, which denotes the Critical Heat Flux, and Q MHF which stands for the Minimum Heat Flux. Detailed information about the applied quenching model in more detail can be obtained from AVL FIRE ® Multifluid model solver theory guide [15] and the references [6] to [8], [13], [18] and [19].…”

Section: Transition Boiling Modelmentioning

confidence: 99%

“…The total height of the rectangular step plate solid was 201 mm, the width 149 mm and the variable thickness along the length, where the cylinder head shared the dimensions of 412×167×137 mm (length, width and height). Measurements at the test station were performed using different operating loads (different orientations and different aluminium alloys), with the cooling time set at 100 s. Detailed information concerning the measurement can be found in Kopun et al [18].…”

Section: Experimental Workmentioning

confidence: 99%

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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 and Experimental Research on the Quenching Process of 1045 Steel Based on Thermo–Fluid–Solid Coupling Model

Deng

Huo

2023

steel research int.

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In the numerical simulation research on quenching, the heat transfer coefficient is an important input parameter. However, owing to its complexity and various influencing factors, the measured results are not universal and will significantly increase the simulation complexity and error. This article proposes a new numerical simulation method for quenching processes by extending the simulation domain and introducing the coupled heat exchange between the liquid quenching medium and workpiece, replacing the role of the heat transfer coefficient in the numerical simulation. The method is validated through experimental studies on 1045 steel rod quenched in water, with the maximum relative errors of the simulation results compared to the experimental results being 3.6%, 9%, and 5.1% for hardness, cooling curve, and residual stress, respectively. Furthermore, the article investigates the effect of different flow parameters of quenching media on the quenching effect. Under the studied conditions, the 1045 steel rod has the lowest risk of cracking and the highest hardness value when quenched in water at 50°C. The proposed method improves the universality and convenience of numerical simulation for the quenching process. and can be used to guide the formulation of quenching process parameters when the heat transfer coefficient is unknown.This article is protected by copyright. All rights reserved.

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Numerical simulation of immersion quenching process for cast aluminium part at different pool temperatures

Cited by 31 publications

References 16 publications

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

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

Numerical Simulation and Experimental Research on the Quenching Process of 1045 Steel Based on Thermo–Fluid–Solid Coupling Model

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