A person pointing at a computer screen showing a 3D model of process optimization.

Computational Simulation and Modeling

Our mission in Computational Simulation and Modeling at the Guelph Manufacturing Institute is to advance manufacturing innovation through precision-driven virtual prototyping and analysis. Leveraging strengths in finite element analysis, process simulation, and state-of-the-art computational software, our research enables accurate prediction of performance, optimization of manufacturing processes, and reduction of physical trial-and-error. We empower industry partners with digital tools to design, validate, and improve systems efficiently and cost-effectively.

Finite Element Analysis (FEA)
  • Simulating stress, strain, thermal behavior, and fluid dynamics in materials and components.
  • R&D Focus: Multiphysics simulations, predictive modeling, and design validation.
  • Industry Needs: Product design, failure analysis, and safety-critical components.
Product Design and Optimization
  • Product development, design for manufacturing and assembly, cost optimization.
  • R&D Focus: Ease of manufacturing and assembly, virtual testing.
  • Industry Needs: Lightweight structures, multi-functional design.
Process Simulation
  • Creating digital models of manufacturing processes to predict performance and optimize parameters.
  • R&D Focus: Process mapping, virtual prototyping, and scenario testing.
  • Industry Needs: Reducing time-to-market, minimizing waste, and improving product quality.

Alexander Bardelcik, Ibrahim Deiab, and Fantahun Defersha.