A coupled finite volume method for the computational modelling of mould filling in very complex geometries

McBride, D.; Croft, Nick; Cross, M.

doi:10.1016/j.compfluid.2007.06.001

Cited by 17 publications

(8 citation statements)

References 34 publications

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“…Discretization in space is usually done by the finite volume method (FVM). This method discretizes the integral formulation of the conservation laws directly in physical space and uses cell-averaged values as its main numerical quantities ( [63], p. 203), with the unknowns defined either at the cell centers or at the mesh nodes (termed cell-centered and vertex-centered, respectively) [78]. An alternative approach would be the use of the finite element method (FEM), which uses the local function values at mesh points as its main numerical quantities ( [63], p. 203).…”

Section: Discretization In Space and Timementioning

confidence: 99%

Numerical Simulation of Ammonothermal Crystal Growth of GaN—Current State, Challenges, and Prospects

et al. 2021

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Numerical simulations are a valuable tool for the design and optimization of crystal growth processes because experimental investigations are expensive and access to internal parameters is limited. These technical limitations are particularly large for ammonothermal growth of bulk GaN, an important semiconductor material. This review presents an overview of the literature on simulations targeting ammonothermal growth of GaN. Approaches for validation are also reviewed, and an overview of available methods and data is given. Fluid flow is likely in the transitional range between laminar and turbulent; however, the time-averaged flow patterns likely tend to be stable. Thermal boundary conditions both in experimental and numerical research deserve more detailed evaluation, especially when designing numerical or physical models of the ammonothermal growth system. A key source of uncertainty for calculations is fluid properties under the specific conditions. This originates from their importance not only in numerical simulations but also in designing similar physical model systems and in guiding the selection of the flow model. Due to the various sources of uncertainty, a closer integration of numerical modeling, physical modeling, and the use of measurements under ammonothermal process conditions appear to be necessary for developing numerical models of defined accuracy.

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Section: Discretization In Space and Timementioning

confidence: 99%

Numerical Simulation of Ammonothermal Crystal Growth of GaN—Current State, Challenges, and Prospects

et al. 2021

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“…A method for dynamics of free boundaries based on the volume-of-fluid (VOF) method was originally developed by Hirt and Nichols [2]. Many variations of the VOF method may be found in the literature [3][4][5][6][7][8][9]. In this work a multi-fluid method is used with the High Resolution Interface Capturing (HRIC) scheme for discretization of convective fluxes [10], which preserves a sharp interface between different fluids.…”

Section: Introductionmentioning

confidence: 99%

Numerical Method for Calculation of Complete Casting Processes—Part I: Theory

Teskeredzic

Demirdžić

Muzaferija

2015

Numerical Heat Transfer, Part B: Fundamentals

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This article presents a method for calculation of the complete casting process, including the pouring of the liquid metal into the mold, its solidification, the deformation of the solidified cast, the formation of airgaps between the cast and the mold and their influence on the heat transfer, and the residual stresses. An original phase-change procedure is developed, valid for an arbitrary number of pure metals and=or alloys. A collocated version of a segregated finite-volume method is used to calculate both the liquid metal flow and the deformations and stresses in solids.

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“…It has a much faster production rate in comparison to other methods and it is an economical and efficient method for producing components with low surface roughness and high-dimensional accuracy. All major aluminum automotive components can be processed with this technology [1][2][3][4][5][6][7]. In this process, the metal is injected into the die at high speeds (30-100 m/s and typically 40-60 m/s for aluminum alloys [2]) and under high pressure through complex gate and runner systems [3].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Theoretical Studies on the Effect of Die Temperature on the Quality of the Products in High-Pressure Die-Casting Process

Sadeghi

Mahmoudi

2012

Advances in Materials Science and Engineering

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Die temperature in high-pressure die casting of A380 alloy is optimized by experimental observation and numerical simulation. Ladder frame (one part of the new motor EF7) with a very complicated geometry was chosen as an experimental sample. Die temperature and melt temperature were examined to produce a sound part. Die temperatures at the initial step and the final filling positions were measured and the difference between these values was calculated. ProCAST software was used to simulate the fluid flow and solidification step of the part, and the results were verified by experimental measurements. It is shown that the proper die temperature for this alloy is above 200°C.

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A coupled finite volume method for the computational modelling of mould filling in very complex geometries

Cited by 17 publications

References 34 publications

Numerical Simulation of Ammonothermal Crystal Growth of GaN—Current State, Challenges, and Prospects

Numerical Simulation of Ammonothermal Crystal Growth of GaN—Current State, Challenges, and Prospects

Numerical Method for Calculation of Complete Casting Processes—Part I: Theory

Experimental and Theoretical Studies on the Effect of Die Temperature on the Quality of the Products in High-Pressure Die-Casting Process

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