Award Abstract # 2309733
Collaborative Research: Models, algorithms, simulations and applications for dendritic solidifications of two-phase multi-component alloys in the mushy zone

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: UNIVERSITY OF MISSOURI SYSTEM
Initial Amendment Date: May 31, 2023
Latest Amendment Date: May 31, 2023
Award Number: 2309733
Award Instrument: Standard Grant
Program Manager: Yuliya Gorb
ygorb@nsf.gov
 (703)292-2113
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: August 1, 2023
End Date: July 31, 2026 (Estimated)
Total Intended Award Amount: $157,956.00
Total Awarded Amount to Date: $157,956.00
Funds Obligated to Date: FY 2023 = $157,956.00
History of Investigator:
  • Xiaoming He (Principal Investigator)
    hex@mst.edu
Recipient Sponsored Research Office: Missouri University of Science and Technology
300 W. 12TH STREET
ROLLA
MO  US  65409-1330
(573)341-4134
Sponsor Congressional District: 08
Primary Place of Performance: Missouri University of Science and Technology
300 W 12TH ST
ROLLA
MO  US  65409-6506
Primary Place of Performance
Congressional District:
08
Unique Entity Identifier (UEI): Y6MGH342N169
Parent UEI:
NSF Program(s): COMPUTATIONAL MATHEMATICS
Primary Program Source: 01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 9263
Program Element Code(s): 127100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

Alloys, typically formed by solidifying a molten mixture of multiple metal and non-metal components, find extensive applications in various fields and are vital to our economy. Unlike pure metals, solidification of alloys occurs in a mushy zone where phase change, solution diffusion, thermal diffusion, volume change, and melt convection interact and strongly influence the mechanical, physical, and chemical properties of the solidified alloy. This project aims to develop mathematical models and numerical algorithms for the solidification process in the mushy zone. The numerical results will advance the understanding on the complex physical processes in the mushy zone and provide guidance to the design of alloys with desirable properties. The team of PIs consists of the three researchers from three different institutions, where training of graduate students on the topics of the project is expected.

This research project focuses on mathematical modeling, algorithm development and analysis, numerical simulations, and engineering applications of dendritic solidification of two-phase multi-component alloys in the mushy zone. The investigators will address these challenging problems numerically with the following goals: (i) to develop a general two-phase multi-component phase-field model for the solidification of alloys in the mushy zone, with the consideration of thermal diffusion, solute diffusion, convection, density variation, and energy law; (ii) to develop and analyze efficient, easy-to-implement, and energy-stable numerical schemes to accurately capture the solidification dynamics; and (iii) to perform numerical simulations to validate the models and numerical schemes, and further study physically motivated problems. The obtained modeling and numerical tools allow the investigators to simulate relevant physical problems of practical interest in a variety of applications due to the wide applicability of the models and algorithms.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Ding, Qianqian and Hou, Yuanyuan and He, Xiaoming "Optimal error estimates of a second-order fully decoupled finite element method for the nonstationary generalized Boussinesq model" Journal of Computational and Applied Mathematics , v.450 , 2024 https://doi.org/10.1016/j.cam.2024.116001 Citation Details
Zhang, Guo-Dong and He, Xiaoming and Yang, Xiaofeng "A Unified Framework of the SAV-ZEC Method for a Mass-Conserved AllenCahn Type Two-Phase Ferrofluid Flow Model" SIAM Journal on Scientific Computing , v.46 , 2024 https://doi.org/10.1137/23M1569125 Citation Details
Zhang, Guo-Dong and Huang, Yunqing and He, Xiaoming and Yang, Xiaofeng "Efficient fully discrete and decoupled scheme with unconditional energy stability and second-order accuracy for micropolar NavierStokes equations" Computer Methods in Applied Mechanics and Engineering , v.436 , 2025 https://doi.org/10.1016/j.cma.2024.117692 Citation Details

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