Mechanical and Materials Engineering, Department of
The Department of Mechanical and Materials Engineering curriculum provides a solid foundation in the basic engineering sciences of solid mechanics and dynamics, materials engineering, fluid mechanics, thermodynamics, and heat transfer. Building on this foundation are courses key to the discipline of mechanical engineering including machine design, manufacturing methods, and instrumentation and control.
This community includes research outputs produced by faculty and students. Submitting works to QSpace may enable compliance with the Tri-Agency Open Access Policy on Publications.
When you submit your work to QSpace, you retain copyright and grant the Library a non-exclusive license to distribute and preserve. Works are open access unless restricted by the creator.
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Recent Submissions
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COMBINING ELECTROENCEPHALOGRAPHY AND FUNCTIONAL NEAR INFRARED SPECTROSCOPY TO IMPROVE ACCURACIES IN INTERPRETING INTENT DURING MOTOR IMAGERY TASKS FOR USE IN BRAIN COMPUTER INTERFACES
A Brain Computer Interface (BCI) system can bypass impaired systems in the brain, nervous system, and muscles to enable alternate function and allow the user to reconnect with the outside environment. Measurements for these ... -
Multi-Material Topology Optimization Considering Dissimilar Material Joining Cost And Natural Frequency
The recent drive for producing lightweight and high-performance designs on reduced timelines in both automotive and aerospace industries has promoted the development of computational design, analysis, and optimization ... -
Dynamic Modelling for the Design of Head-Neck Load Carriage Systems
Head load-carriage systems have broad application, allowing people to carry awkward or heavy loads, but can cause chronic pain when the neck is loaded improperly. Studies have identified military helicopter crew neck pain ... -
Detecting changes in cognitive load through audified EEG
Concussion is an increasing concern in society, especially with the popularity of contact sports. New research continues to show the dangers of letting concussions go undetected and untreated. Current assessment methods ... -
Development and Evaluation of an Energy-Removing Lower-Limb Exoskeleton for Human Gait Assistance
Walking is a metabolically demanding activity. Scientists have developed two general approaches to reducing the metabolic cost of walking using exoskeletons: 1) adding energy to the human-device system to assist concentric ... -
PROTON IRRADIATION SAMPLE HOLDER II (PISH II)
In recent years, the Canadian and international nuclear industries have been bustling with activity in reactor refurbishments and research in new reactors. The Reactor Material Testing Laboratory (RMTL) at Queen’s University ... -
Turbulent and Non-Turbulent Interfaces in Low Mach Number Airfoil Flows
This thesis reports the first successful identification and investigation of turbulent/non-turbulent interface (TNTI) in airfoil flows – all the previous TNTI studies were confined to canonical flows such as wakes, jets ... -
Development of Material Extrusion Infill Optimization Approaches for Various-Resource Entities
Additive manufacturing (AM) is an expanding research field, proportional to the increased adoption the industry is experiencing. With AM machines targeted towards industry level clients and hobbyists alike, the diversity ... -
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 ...
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