Christopher Peter Kohar

Education:

• BASc, University of Waterloo, Canada
• PhD, University of Waterloo, Canada

Research interests:

• Crashworthiness and Structural Optimization
• Multi-scale Modelling
• Computational Intelligence
• Crystal Plasticity
• Micromechanics and Homogenization

Summary of work:

Current automotive structures require complex assemblies of various materials and manufacturing processes to achieve lightweight solutions. The manufacturing process to generate these components can greatly influence the macro and micro-mechanical behaviour of these materials and ultimately, the energy absorption characteristics of the geometries in a collision. 

Through the use of computational intelligence techniques, such as artificial neural networks and genetic evolution, these automotive structures can be optimized to generate a robust design that takes advantage of the microstructure influences during manufacturing processing for performance. The goal of my research is to develop new technological platforms that utilize new advanced microstructural and multi-scale modeling techniques to achieve weight reductions of 30-40% within structural components for massed production mid-size vehicles. 

Christopher Kohar's Google Scholar