Skip navigation

Multiphysics modeling and its application to the casting process

Multiphysics modeling and its application to the casting process

Bailey, C. ORCID logoORCID: https://orcid.org/0000-0002-9438-3879, Bounds, S., Cross, M., Moran, G, Pericleous, K. ORCID logoORCID: https://orcid.org/0000-0002-7426-9999 and Taylor, G. (1999) Multiphysics modeling and its application to the casting process. CMSE: Computer Modelling & Simulation in Engineering, 4 (3). pp. 206-212. ISSN 1083-3455

Full text not available from this repository.

Abstract

A modeling strategy is presented to solve the governing equations of fluid flow, temperature (with solidification), and stress in an integrated manner. These equations are discretized using finite volume methods on unstructured grids, which provide the capability to represent complex domains. Both the cell-centered and vertex-based forms of the finite volume discretization procedure are explained, and the overall integrated solution procedure using these techniques with suitable solvers is detailed. Two industrial processes, based on the casting of metals, are used to demonstrate the capabilities of the resultant modeling framework. This manufacturing process requires a high degree of coupling between the governing physical equations to accurately predict potential defects. Comparisons between model predictions and experimental observations are given.

Item Type: Article
Uncontrolled Keywords: fluids engineering descriptors, casting, fluid flow, integration, stress, temperature
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QC Physics
T Technology > TN Mining engineering. Metallurgy
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 13 Mar 2019 11:30
URI: http://gala.gre.ac.uk/id/eprint/285

Actions (login required)

View Item View Item