Contacts

Education:

MASc, Saint Petersburg State University, Russia

Research interests:

• Additive Manufacturing
• Crystal Plasticity
• Microstructure and Mechanical Properties

Summary of work:

The additive manufacturing (AM) techniques are developed to fabricate alloys by sintering and/or melting metal powders layer by layer. The AM processes allow to obtain materials with certain crystallographic texture, which significantly influence properties of a material. However, the better understanding of heat transfer during the AM process is required to make the manufacturing technique more efficient. The goal of my research is to study the melting and solidification processes and its’ impact on material texture.

Selected list of publications:

• Resnina, N., Belyaev, S., Voronkov, A., & Gracheva, A. (2016). Mechanical behaviour and functional properties of porous Ti-45 at. % Ni alloy produced by self-propagating high-temperature synthesis. Smart Materials and Structures, 25(5), 055018. https://doi.org/10.1088/0964-1726/25/5/055018

Education:

• BASc, University of Waterloo, Canada

Research interests:

• Formability Analysis
• Multi-scale Modelling
• Crystal Plasticity
• Micromechanics and Homogenization
• Advanced High Strength Steel

Summary of work:

One major research goal of the automotive industry is to develop vehicles that are lighter and safer at a lower cost. This is done by developing stronger, lighter materials and by improving modelling methods so that vehicle structures can be better optimized. One major class of materials being developed for this purpose are the next generation Advanced High Strength Steels (AHSS), which have high strength, multiple phases and often non-standard deformation mechanisms. My research focusses on the development of physics based micromechanical and phenomenological material models which take into account the presence of these phases and deformation mechanisms. These models will then be applied to formability analyses, with the goal of specifying the best methods for manufacturing vehicle structures.

Daniel Connolly's Google Scholar

Education:

• BASc, University of Waterloo, Canada

Research interests:

• Computational Solid Mechanics
• Materials Science
• Crystal Plasticity
• Fracture

Larry Li's Google Scholar

Education:

• BMath, Saint Petersburg State University, Russia

Research interests:

• Artificial Intelligence
• Machine Learning
• Computational Intelligence
• Crystal Plasticity

Summary of work:

My research is in the area of integrated computational mechanics. In particular, my research is to develop a new framework for using artificial intelligence and machine learning techniques to improve the computational efficiency of micromechanics models. A novel algorithm that will allow the crystal plasticity constitutive models to be utilized in lab-scale simulations at the speed of phenomenological models is to be developed. The models are to be compared and validated to experimental work performed.

Olga Ibragimova's Google Scholar