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Larry Lessard Winter Season 2022 or Fall 2022 There is growing concern about recycling of end-of-life composite materials. Waste fiber and other products can not be put into garbage dumps so recyclingmethods need to be developed. Used wind turbine blades can be recycled torecover the fibers and these fibers can be re-used to make materials for 3Dprinting.
The job involves experimental production based upon composite materialstheory.: larry. lessard [at] mcgill. ca Updated: November 28, 2021: Reconfigurable metamaterials for soft robotics: Prof. Damiano Pasini: Winter Season 2022, Fall 2022, Winter 2023Mechanical metamaterials are manmade products, normally fashioned from duplicating units, which are engineered to achieveextreme mechanical homes, frequently beyond those discovered in many naturalmaterials.
Additive manufacturing strategies will be employed to produce models and their efficiency will be analyzed through mechanical testing.: damiano. pasini [at] mcgill. ca Updated: November 29, 2021: Nonlinear dynamics/vibrations of architected materials foraerospace applications: Prof. Damiano Pasini and Prof. Mathias Legrand: Winter Season 2022, Fall 2022, Winter 2023When launched in area, satellites need to withstand an explosive upright boostthat generates exceptionally big vibrations throughout their bodies.
In this job we study the nonlinear vibrations of a satellite componentmade of ultralight weight architected materials of unmatched efficiency. The objective is to design its vibrant behaviour and understand the geometricfactors that manage its extremely nonlinear reaction at the start of a launchin space. The work involves a mix of theoretical and computational analysis.: damiano.
ca Published: September 3, 2020 Thesis Project 2021-8 State estimate on matrix Lie groups: Prof. James Richard Forbes: Winter Season 2022, Fall 2022, Winter 2023: Autonomous lorries, such as autonomous automobiles, trucks, and trains, must fuse different forms of sensing unit data together in orderto ascertain their position, mindset, speed, and angular velocity.
This project will focus on sensor blend forrobot navigation. Did you see this? will be the development and coding of amatrix Lie group integrator, in the spirit of a Runge-Kutta integrator, buttailor to matrix Lie groups. The second job will be the development andcoding of a cascaded sigma point Kalman filter to make it possible for multi-agentnavigation (i.
Trainees best fit for thisproject are those interested in utilizing mathematical tools, such as linearalgebra, numerical techniques, likelihood theory, and mathematical optimization, to fix problems found in robotics. Experience with Matlab and/or Cprogramming is desired.: james. richard.forbes [at] mcgill. ca Posted: September 1, 2020 Thesis Task 2021-9 Multi-robot collaborative state evaluation: Prof.