An unconditionally stable fast high order method for thermal phase change models. (15th April 2022)
- Record Type:
- Journal Article
- Title:
- An unconditionally stable fast high order method for thermal phase change models. (15th April 2022)
- Main Title:
- An unconditionally stable fast high order method for thermal phase change models
- Authors:
- Wang, Weiwen
Azaiez, Mejdi
Xu, Chuanju - Abstract:
- Abstract: Thermal phase change problems arise in a large number of applications. In this paper, we consider a phase field model instead of the classical Stefan model to describe phenomena, which may appear in some complex phase change problems such as dendritic crystal growth, phase transformations in metallic alloys, etc. Our aim is to propose efficient and accurate schemes for the model, which is the coupling of a heat transfer equation and a phase field equation. The schemes are constructed based on an auxiliary variable approach for the phase field equation and semi-implicit treatment for the heat transfer equation. The main novelty of the paper consists in: (i) construction of the efficient schemes, which only requires solving several second-order elliptic problems with constant coefficients; (ii) proof of the unconditional stability of the schemes; (iii) fast high order solver for the resulting equations at each time step. A series of numerical examples are presented to verify the theoretical claims and to illustrate the efficiency of our method. As far as we know, it seems this is the first attempt made for the thermal phase change model of this type.
- Is Part Of:
- Computers & fluids. Volume 237(2022)
- Journal:
- Computers & fluids
- Issue:
- Volume 237(2022)
- Issue Display:
- Volume 237, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 237
- Issue:
- 2022
- Issue Sort Value:
- 2022-0237-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-04-15
- Subjects:
- 65M06 -- 65M12 -- 65M70 -- 35R37
Thermal phase change problem -- Phase field -- SAV approach -- Unconditional stability -- Spectral method
Fluid dynamics -- Data processing -- Periodicals
532.050285 - Journal URLs:
- http://www.journals.elsevier.com/computers-and-fluids/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compfluid.2022.105306 ↗
- Languages:
- English
- ISSNs:
- 0045-7930
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.690000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21048.xml