Code-to-code verification for thermal models of melting and solidification in a metal alloy: comparisons between a Finite Volume Method and a Finite Element Method
File(s)ms-11-125-2020.pdf (4.29 MB)
Published version
Author(s)
Harley, Anna MV
Nikam, Sagar H
Wu, Hao
Quinn, Justin
McFadden, Shaun
Type
Journal Article
Abstract
Verification, the process of checking a modelling output against a known reference model, is an important step in model development for the simulation of manufacturing processes. This manuscript provides details of a code-to-code verification between two thermal models used for simulating the melting and solidification processes in a 316 L stainless steel alloy: one model was developed using a non-commercial code and the Finite Volume Method (FVM) and the other used a commercial Finite Element Method (FEM) code available within COMSOL Multiphysics®. The application involved the transient case of heat-transfer from a point heat source into one end of a cylindrical sample geometry, thus melting and then re-solidifying the sample in a way similar to an autogenous welding process in metal fabrication. Temperature dependent material properties and progressive latent heat evolution through the freezing range of the alloy were included in the model. Both models were tested for mesh independency, permitting meaningful comparisons between thermal histories, temperature profiles and maximum temperature along the length of the cylindrical rod and melt pool depth. Acceptable agreement between the results obtained by the non-commercial and commercial models was achieved. This confidence building step will allow for further development of point-source heat models, which has a wide variety of applications in manufacturing processes.
Date Issued
2020-04-23
Date Acceptance
2020-04-06
Citation
Mechanical Sciences, 2020, 11 (1), pp.125-135
ISSN
2191-9151
Publisher
Copernicus Publications
Start Page
125
End Page
135
Journal / Book Title
Mechanical Sciences
Volume
11
Issue
1
Copyright Statement
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
License URL
Identifier
http://dx.doi.org/10.5194/ms-11-125-2020
Publication Status
Published
Date Publish Online
2020-04-23