Search
Skip to Search Results- 206Mechanical Engineering, Department of
- 132Mechanical Engineering, Department of/Journal Articles (Mechanical Engineering)
- 74Mechanical Engineering, Department of/Progress in Canadian Mechanical Engineering, Volume 5
- 1Earth and Atmospheric Sciences, Department of
- 1Earth and Atmospheric Sciences, Department of/Journal Articles (Earth and Atmospheric Sciences)
- 1Physics, Department of
- 31Carey, Jason P.
- 17Major, Paul W.
- 15Hogan, James
- 14Melenka, Garrett W.
- 12Nobes, David S.
- 10Secanell, Marc
- 8Dynamic fragmentation
- 6Planetary materials
- 5Brittle fracture
- 5Deformation
- 5Porous media plumes
- 4Brittle failure
-
2022-06-01
Crack-tip stress evaluation requires special treatments in the frame of classical elasticity theory for characterizing fatigue crack growth behavior. In previous studies, modified finite element methods have been used to remedy infinite stresses predicted by the classical elasticity theory at the...
-
2022-06-01
Garmroodi, Mohammad Reza Daneshvar, Karimfazli, Ida
We study the evolution of chaotic mixing in an initially stratified circular vessel. The bottom and top halves of the vessel are filled with viscoplastic and Newtonian fluids. A circular stirrer in the vessel promotes the mixing. We considered three different viscosity ratios to understand the...
-
Design and Development of a Novel Tensile Testing Apparatus for Time-Resolved Betatron X-Ray Tomographic Imaging
Download2022-06-01
Arce-Borkent, Alvaro R., Richards, Tait, Senthilkumaran, Vigneshvar, Beier, Nicholas F., Zhou, Le, Moore, John A., Knudsen, K. Steven, Hussein, Amina E., Lipsett, Michael G.
High-resolution imaging of deformation processes in materials under load requires controllable and stable loading conditions and the ability to vary sample orientation relative to the imaging source. A novel tensile testing apparatus has been designed, developed, and characterized for...
-
Head Pose Estimation and Tracking for Moving Target Active Noise Control Using Convolutional Neural Network
Download2022-06-01
Venkatesh, Vishaal, Sharma, Himanshu, Ghebreiyesus, Wintta, Xi, Fengfeng(Jeff), Faieghi, Reza
This paper introduces a novel approach towards an implementation of head pose estimation techniques for the application of noise control. An existing multi-stage process, which uses convolutional neural network (CNNs), for head pose estimation is modified, implemented, and validated for moving...
-
2022-06-01
Ibrahim, Galal M., Naterer, Greg F., Pope, Kevin
This paper presents a numerical study of ice accretion on a 2MW wind turbine with an 80 m rotor diameter using ANSYS FENSAP ICE software. The study investigates ice accumulaton with a focus on spanwise variability by analyzing four sections along a rotating blade. Air and droplet velocity...
-
2022-06-01
Yazdanparast, Sajad, Rezai, Pouya, Amirfazli, Alidad
We propose a simple microfluidic droplet generator for controlling the droplet size over a wide range. A planar co-flow device was developed with controllable c- phase channel width using a deformable wall structure. The design was benefited from the increased shear force due to the channel...
-
EMISSION MEASUREMENT OF UNIVERSITY FLEET VEHICLES THROUGH ON-ROAD REMOTE SENSING AND IDENTIFICATION OF HIGH NOx EMITTERS
Download2022-06-01
Abediasl, Hamidreza, Hosseini, Vahid, Koch, Charles Robert, Shahbakhti, Mahdi
Remote sensing emission measurement is a method to measure real driving emissions to identify high emitter vehicles. High NOx emitter vehicles are recognized among the selected 14 vehicles of the University of Alberta fleet. By combining remote sensing and on-board diagnostics (OBD) data, an...
-
2022-06-01
Goudarzi, Sahar, Duan,Xili, Naterer, Greg F., Muzychka, Yuri
This paper aims to evaluate the effect of porosity and buoyancy on the natural convection of CuO-RT25 nano- enhanced phase change material (NePCM) in a differentially heated porous square cavity. Buongiorno’s two-phase model is utilized to consider the Brownian thermophoresis diffusion of...
-
2022-06-01
St-Georges, Lyne, Nadeau, François, Tremblay, Francis
The necessity of reducing fuel consumption and the increasing demands for lightweight vehicles have motivated the use of multi-material combinations. Dissimilar metals have been progressively introduced in different locations to optimize mechanical performance and strength-to-weight ratio. These...
-
Estimating Instantaneous Fuel Consumption of Vehicles By Using Machine Learning And Real-Time On-Board Diagnostics (OBD) Data
Download2022-06-01
Ansari, Amir, Abediasl, Hamidreza, Patel, Parth Rakeshkumar, Hosseini, Vahid, Koch, Charles Robert, Shahbakhti, Mahdi
Estimation of instantaneous fuel consumption of fleet vehicles to identify the causes of high fuel consumption and determine the optimum vehicle type for different applications and driving cycles is essential for the design of an intelligent fleet management system. Developing a practical and...