Master Thesis 2012-2013 - Ltas - Aerospace and Mechanical

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Larry Lessard Winter 2022 or Fall 2022 There is growing concern about recycling of end-of-life composite products. Waste fiber and other materials can not be put into garbage dumps so recyclingmethods should be developed. Utilized wind turbine blades can be recycled torecover the fibers and these fibers can be re-used to make materials for 3Dprinting.

The job involves speculative manufacturing based on 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 materials, normally made from duplicating units, which are engineered to achieveextreme mechanical homes, typically beyond those discovered in a lot of naturalmaterials.

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Additive production methods will be employed to fabricate models and their performance 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 introduced in area, satellites need to sustain an explosive upright boostthat creates extremely big vibrations throughout their bodies.

In this task we study the nonlinear vibrations of a satellite componentmade of ultralight weight architected materials of unmatched efficiency. The goal is to design its vibrant behaviour and understand the geometricfactors that manage its extremely nonlinear reaction at the beginning of a launchin space. Keep Checking Back Here includes a combination of theoretical and computational analysis.: damiano.

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ca Posted: September 3, 2020 Thesis Task 2021-8 State evaluation on matrix Lie groups: Prof. James Richard Forbes: Winter Season 2022, Fall 2022, Winter 2023: Self-governing lorries, such as autonomous cars and trucks, trucks, and trains, need to fuse various kinds of sensor data together in orderto determine their position, attitude, speed, and angular velocity.

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This project will focus on sensing unit blend forrobot navigation. The first task will be the advancement 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 advancement andcoding of a cascaded sigma point Kalman filter to make it possible for multi-agentnavigation (i.

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Trainees best fit for thisproject are those thinking about utilizing mathematical tools, such as linearalgebra, mathematical approaches, possibility theory, and mathematical optimization, to fix issues found in robotics. Experience with Matlab and/or Cprogramming is desired.: james. richard.forbes [at] mcgill. ca Published: September 1, 2020 Thesis Project 2021-9 Multi-robot collaborative state estimation: Prof.