icims
Lead Modeling Scientist
Novelis
Kennesaw, USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 1 weeks ago
Thermo-CalcDICTRATC-PrismaPandatMATLABFORTRAN
Free
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Thermo-CalcDICTRATC-Prisma
Key Skills for This Role
Thermo-CalcDICTRATC-PrismaPandatMATLABFORTRAN
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Responsibilities:
- Develop and maintain Integrated Computational Materials Engineering (ICME) models that connect process parameters, microstructure, and properties for flat aluminum sheet products, including processes such as homogenization, heat treatment, precipitation, recrystallization, texture development and grain growth.
- Design and implement multi-scale models to link process parameters with microstructure and properties for casting, rolling, heat treatment, coating, CASH, batch annealing and related processes relative to Flat Rolled Aluminum Products.
- Constitutive behavior models: Flow stress, work hardening, strain rate sensitivity
- Formability & failure prediction models: FLD, FLC, earing, spring-back, bendability
- Create and refine process simulation tools using methods such as finite element, finite difference, cellular automata, and phase-field modeling to predict thermal and mechanical behavior.
- Integrate modeling results with experimental characterization techniques (including SEM, EBSD, XRD, DSC) and plant data to validate predictions and continually improve model accuracy.
- Build thermodynamic and kinetic models using tools like Thermo-Calc, DICTRA, TC-Prisma, and Pandat to support alloy design and process optimization.
- Lead end-to-end modeling projects, from scoping and model development through validation and deployment, with the goal of improving or innovating aluminum sheet products and processes across beverage packaging, automotive, specialties, and aerospace markets.
- Automate workflows for predicting microstructure-property relationships and incorporate feedback from plant trials to enhance model robustness.
- Collaborate with plant engineers and R&D teams to apply models for troubleshooting and improving productivity, recovery, and quality.
- Document methodologies and results in technical reports and contribute to intellectual property through invention disclosures and patents.
Required Qualifications
- Advanced degree (M.S. or Ph.D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling.
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