Department of Mechanical and Materials Engineering Graduate Theses
Recent Submissions
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DESIGN AND COMPUTATIONAL VALIDATION METHODS OF A COMPOSITE PASSENGER AIRCRAFT SEAT WITH ADVANCED MATERIAL MODELING TECHNIQUE
As industry has adopted the use of carbon fiber reinforced plastics (CFRPs) at an increasing rate, the need for specially developed design and analysis methods increase likewise. Specifically, through development of new ... -
Supersonic Combustion Wave Propagation in an Obstructed Volume of Hydrogen
As the use of hydrogen as an energy carrier becomes more prevalent, deep knowledge of its combustion characteristics are required to protect personnel and property in the vicinity of its use. This knowledge is also important ... -
Concurrent Thickness and Material Optimization
There is a gap in the literature for an algorithm capable of concurrent thickness and material optimization (CTMO), utilizing fully analytical sensitivities with prevention of coincident material layers. Such a method is ... -
ARTIFICIAL NEURAL NETWORK BASED TRANSFER LEARNING FOR ROBOT KINEMATIC MODELLING
This thesis discusses the feasibility of applying the transfer learning for modelling robot manipulators. Artificial neural network (ANN) is selected as the tool to conduct transfer learning. For data generation, two types ... -
Detecting Lagrangian Coherent Structures in Realistic Experimental FLuid-Flow Data Sets
Detection of coherence in sparse Lagrangian particle tracking (LPT) data is a crucial step towards increasing our understanding in a vast number of biological, engineering and geophysical flows. This thesis explores two ... -
On the extraction of path-dependent dynamics from recirculating pulsatile flows using optical and ultrasound imaging
Recirculation is present in nearly every fluid system, and often jeopardizes the system's primary function. This thesis is motivated by recirculation in the cardiovascular system and how it impacts disease. Developing ... -
On the Transient Response of Rotors and Autorotating Seeds in Gusty Flows
Low-inertia rotors are present in quadrotors, micro aerial vehicles, and small wind and tidal turbines, to name but a few examples. The common practice of modelling the unsteady behaviour of low-inertia rotors using ... -
Control and Learning for Robotic Excavation
Despite a large body of research and engineering work in robotic excavation, spanning decades, commercially viable systems for fully autonomous excavation are still in their infancy. The challenge is that performance is ... -
Deep Reinforcement Learning for Packaging Optimization
Packing, packaging, and layout optimization is required for efficient systems design within a wide range of industries. The increasing demand for lighter, smaller, and more efficient designs to be rapidly produced has ... -
Wearable Sensor-Based Sign Language Recognition Using Bio-Acoustic Signals from High-Frequency Accelerometers
Disabling hearing loss has a profound impact on an individual’s ability to interact and engage with those around them. Sign languages enable members of the Deaf community to communicate easily and effectively with one ... -
Autonomous Ground Vehicle Path Following by Combining Feedback Linearization with Model Predictive Control
This thesis presents the formulation and experimental validation of an autonomous ground vehicle path following control method that combines feedback linearization (FBL) with model predictive control (MPC). The use of MPC ... -
Drag and Mixing from Forced Mixing Nozzles on Turbofan Engines
An opportunity was identified for the suppression of unmixed high bypass ratio turbofan engine thermal signatures via forced mixing nozzles to increase mission safety. A feasibility study was proposed quantifying potential ... -
Experimental Modal Analysis of Business Jet Fuselage Tail Section Sub-Assemblies
Experimental modal testing is a technique through which the dynamic response characteristics of a system can be found. Parameters such as the natural frequencies and mode shapes of a system can be extracted through ... -
Exploring Engineering Students' Interpretations of Success
This study used quantitative methods to explore Canadian undergraduate engineering students’ interpretations of their success. The amorphous term “student success” is used by students, educators, academics, engineering ... -
A Mesh Independent Approach for Multi-Joint Topology Optimization
Topology optimization (TO) has been identified as a leading method to reduce weight in both component and assembly level design. Optimum loadpaths within a designable region are determined, providing non-intuitive designs ... -
INVESTIGATING MEASUREMENT MODALITIES FOR INTEGRATED USE IN OVERUSE INJURY RESEARCH
Running is a common form of exercise enjoyed throughout the world. Unfortunately, it poses a significant risk of injury, as up to 70% of runners suffer an overuse injury within a one-year period. Previous research indicates ... -
Effect of Heating Cycles on Microstructure of Dissimilar Friction Stir Welded Age-Hardenable Aluminum Alloys
The effect of heating on microstructural changes in dissimilar friction stir welding of aluminum alloys AA6022 and AA7075 was studied. The challenge in welding these alloys is the strength loss in the heat affected zone ... -
Direct numerical simulations of aeolian noise generated by a circular cylinder in subsonic and transonic conditions
The aeolian noise generated by a circular cylinder is an important benchmark aero-acoustic problem. The overall goal of this thesis is to identify sound sources, isolate the radiating components from the non-radiating ... -
Arch-rivals? The roles of the windlass and arch-spring mechanisms in running
The human foot is an integral part of locomotion due to its broad range of function. Its versatility derives from mechanisms that originated from cadaveric or static experiments, and were extrapolated to locomotion. Two ... -
Feature Engineering and End-to-End Deep Learning in Tool Wear Monitoring
Machinery health monitoring is an important tool for improving the productivity of today's manufacturers. Two data-driven techniques are prominent in machinery health monitoring: feature engineering and end-to-end deep ...
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