Computational Modeling of Remelting Processes for Ingot Casting of High-Performance Alloys

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F33615-01-C-5212
Agency Tracking Number: 001ML-1910
Amount: $0.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2001
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
3025 Harbor Lane N, Suite 300, Plymouth, MN, 55447
DUNS: 199085424
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Kanchan Kelkar
 Principal Engineer
 (612) 519-0105
 kelkar@inres.com
Business Contact
 Suhas Patankar
Title: President
Phone: (612) 519-0105
Email: patankar@inres.com
Research Institution
N/A
Abstract
The overall goal of the proposed research is to develop a comprehensive, efficient, and well validated model of various remelting processes used for the production of ingots of superalloys and titanium alloys. Phase I research has demonstrated thefeasibility and the validity of developing a unified computational model for efficient and accurate prediction of AC and DC electromagnetics, fluid flow, and heat transfer phenomena in ESR, VAR, and EB remelting processes under axisymmetric, steady stateconditions. Phase II research will involve extensions of the computational framework to enable a more comprehensive analysis of the physical phenomena. These include prediction of unsteady and three-dimensional effects, macrosegregation, microstructure,and inclusion transport. Emphasis is placed on achieving computational efficiency to facilitate effective use of the model. Thus, computational innovations include ballooning boundary conditions in electromagnetics analysis, expanding grid for treatingingot growth, two-domain method for predicting macrosegregation, and multigrid method for efficient solution. Experimental measurements on research and production units will be used for a detailed validation of the enhanced model. The model will then beapplied for the design and optimization of practical remelting processes by our industrial partners. This will be followed by a full-scale commercialization in Phase III effort.

* Information listed above is at the time of submission. *

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