Grant: Research Tools and Instruments

Characterisation and design optimization of a part's mechanical behaviour (e.g. strain and deformation) and interactions with other elements is a key step in the development of innovative systems across many domains including mechanical, civil and structural, and biomedical engineering. This process has traditionally been undertaken using simplified loading cases and by making discrete measurements at critical locations that are identified in advance (e.g. the location of maximum expected strain). However, with advent of more modern, complex designs (e.g. through additive manufacturing processes), composite materials, and study of biological systems, measure of a small number of discrete locations is no longer sufficient in many cases and often does not provide the data that is required to produce internationally leading research and development results. Furthermore, use of these traditional methods does not prepare trainees with the state-of-the-art skills they need to strengthen Canada's economy.  With this in mind, this proposal requests a state-of-the-art Digital Image Correlation (DIC) system that is cable of measuring 3D full-field deformation and strain (0.005% to 2000% strain) and track discrete fiducial markers (<10 micron resolution) with fields of view ranging from ~2cm to ~4m. 3D full-field deformation and strain measurement is achieved through the use of a stochastic pattern applied to the surface of the testing specimen, the dual camera system, and analysis software. The capabilities of this DIC system will meet an urgent need for state-of-the-art mechanics of materials assessment capabilities and in doing so significantly enhance the quality of the researchers' already internationally recognized programs and enable them to undertake new research directions that are not currently possible. Eight research groups have expressed an urgent need for this equipment including those involved in innovative materials and additive manufacturing research, biomedical and biomechanical experimentation and computational model validation, novel sustainable aviation research, and structural engineering design for the improvement of seismic safety. This DIC system will also enhance the training and skillsets of the trainees that undertake the above described research. It is anticipated that in the first two years after acquiring this system, approximately 30 trainees will develop skills in the use of this state-of-the-art system, which is becoming increasingly common in industry and thus they will have the practical skills needed to succeed in Canada's engineering workforce and ensure that Canada's economy has the skills it needs to compete internationally.