Using a multiphysics approach, the intern will construct a model for the topological optimization of two distinct classes of cantilever-type sensors: one often encountered in the general industrial application and the other one customized for the specific needs of a biosensor. Altair Hyperworks will be the main software tool to be used for this particular type of optimization and the aforementioned type of sensors will be modeled and their behavior simulated in complex multiphysics conditions.
Quaternion Engineering Inc. (QEI) is developing a series of Unmanned Aircraft Systems (UAS) optimized to address the growing demand for low cost, turnkey commercial and military solutions. Recent market research has shown an emerging commercial market for UAVs in applications such as small scale surveillance, remote sensing and inspection. As this market emerges there will be a large demand for affordable application specific unmanned systems that are easy and inexpensive to operate. Currently, Canada has relatively modest capabilities in terms of UAS and UAV development.
The objective of this project is to use optimization to improve metallic yield (the percentage of raw material that ends up as usable product) in an ArcelorMital Steel Rolling Plant. The metallic yield of the rolling operations depends upon the length of billets from which the final product is manufactured. Ideally, a single customer order would be filled using billets of precisely the length that would yield the minimum achievable amount of scrap.
A cradle is a separate structure from automotive chassis, which is used to support the powertrain and suspension system. With the application of cradle structure, the noise and vibration transmitted to passengers will be reduced and the stiffness of attachments will be increased. In other words, the riding comfort and the product reliability are improved. The research project is to design and optimize an automotive cradle considering five dominant performance requirements: local static stiffness, crashworthiness, NVH, durability and weight.
Virtual environments represented by multibody system models play an important role in many applications. Adding the possibility of the user directly interacting with such environments via physical touch using haptics can significantly enhance the usability and range of application of simulated environments.
Minimum Quantity Lubrication (MQL) is a new technology used nowadays in machining processes and is very promising for near dry machining. Compared to dry machining and flood machining processes MQL has clear economical and ecological advantages. However, MQL implementation is still applied using a trial and error approach. Limited research work has been done on evaluating the effect of MQL on product quality, especially, in aerospace materials (composites and difficult to cut materials like Inconel).