METALS AND ALLOYS R&D

Commercial Metals and Custom Alloy Development
  • Commercial grades improvement and properties maximization
  • Tailored compositions for extreme environments: high-temp, fatigue, wear, corrosion, magnetic, etc.
  • Rapid prototyping and small-batch melts: from idea to actual part
Process Improvement and Optimization
  • Heat treat processing design and optimization to enhance properties, save energy and time
  • Solidification modeling and casting process tuning
  • Forging, rolling, and thermomechanical strategies to maximize performance
Lab and In-Field Failure Analysis & Root Cause Investigations
  • Advanced metallographic and fractography to identify issues
  • Failure mode identification: fatigue, corrosion, embrittlement
  • Fracture mechanics + advanced electron characterization
  • Degradation analysis via express testing and modeling
Advanced Digital, Electron Characterization and Mechanical Testing
  • Tools: SEM, EDS, XRD, EPMA, EBSD, hardness (nano to bulk)
  • Magnetic, thermal, mechanical property evaluation
  • Surface topography of coatings and fracture surfaces
Phase Diagram Analysis & Thermodynamic Modeling
  • CALPHAD for phase balance, stability, solidification, transformation
  • Guidance for alloy design and processing parameters
Materials Selection & Substitution
  • Alloy recommendations based on performance and efficiency
  • Sustainable or cost-effective alternatives to legacy materials
High-Performance & Specialty Metals
  • Alloys for fusion energy, high-field magnets, harsh environments
  • Wear-resistant, high-strength, or conductive materials
  • Racing car applications: prototyping, testing, manufacturing
Sustainable Materials R&D
  • LEAN alloy development with reduced environmental footprint
  • Recyclable or resource-efficient alternatives
Rapid Screening Using AI Engines
  • Accelerated property prediction and optimization
  • Data-driven alloy selection and design
  • Experimental design to find new optimal targets
Field-Ready Prototyping & Testing
  • Trial components and in-situ testing
  • Feedback loops between lab, model, and real-world data

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