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Skip to Search Results- 1Amjad, Faraz
- 1Bendrich, Michelle
- 1De la Hoz Siegler, Hector Jr
- 1Kasiri, Sepideh
- 1Kwak, Seraphina Jinyeong
- 1Li, Chaoqun
- 3Huang, Biao (Chemical and Materials Engineering)
- 1Amos Ben-Zvi (Chemical and Materials Engineering)
- 1Dr. Arvind Rajendran (Chemical and Materials Engineering)
- 1Forbes, Fraser (Chemical and Materials Engineering)
- 1Hayes, Robert E. (Chemical and Materials Engineering)
- 1Henein, Hani (Materials Engineering)
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Fall 2014
In today’s vehicle applications, Selective Catalytic Reduction (SCR) ammonia dosing is completed using complex control algorithms that need to be parameterized for the individual catalytic converter technology. The parameterization of these control strategies is not always completed during the...
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Fall 2017
High pressure carbon dioxide adsorption processes are employed in applications such as carbon dioxide capture and supercritical fluid chromatography (SFC). Carbon dioxide capture using adsorption has gained wide attention because of the promising materials that are developed for this application....
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Spring 2018
Steam-assisted gravity drainage (SAGD) is an enhanced oil recovery (EOR) technology widely used in Canada. Data available in SAGD industrial processes contain valuable information for monitoring, soft sensing, control, and optimization. This thesis focuses on data mining and optimization in the...
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Fall 2019
Data is becoming more valuable as there are still many uncertainties and hidden information that have yet to be discovered. For this reason, the application of data analysis and machine learning in the industry is becoming more popular. For example, SAGD (steam assisted gravity drainage) is a...
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Investigations of interactions between membrane and PEI/siRNA nanoparticles and their implication for non-viral gene delivery
DownloadSpring 2021
Cell entry of polynucleotide-based therapeutic agents can be promoted by nanoparticle (NP) mediated delivery. This dissertation investigates membrane penetration of polynucleotide NPs, using mainly computational approaches, accompanied by some experiments. Major emphasis was placed on...
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Machine Learning for Robust Tracking of Interface Level Inside a Primary Separation Vessel in the Presence of Occlusions and Noise
DownloadSpring 2021
A Primary Separation Vessel (PSV), used in the oil sands industry, is an important process equipment, where Bitumen is separated from the oil sand using a density based separation process. The interface level between a bitumen rich layer (froth) and a layer that has moderate amounts of bitumen in...
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Fall 2015
Carbon dioxide capture using adsorption based separation processes has shown promise but has not been exploited to full potential to be implemented on a commercial scale. This thesis examines two key stages in the development of adsorption based carbon dioxide capture processes, namely adsorbent...
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Microstructural Analysis of Ni-WC Metal Matrix Composites Deposited Using Plasma Transferred Arc Additive Manufacturing
DownloadFall 2023
The objective of this thesis is to examine how the composition and solidification rate influences the thermal degradation of WC and the resulting microstructure of WC-Ni metal matrix composites (MMCs) deposited using plasma transferred arc additive manufacturing (PTA-AM). Scanning electron...
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Modeling and Optimization of CO2 Fixation using Microalgae Cultivated in Oil Sands Process Water
DownloadSpring 2015
Biological fixation of CO2 using microalgae is a potential CO2 reduction strategy which can be applied to the oil sands operations in Alberta. These operations also produce large amounts of oil sands process water (OSPW), which can act as a growth medium for the microalgae. In this thesis, three...
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Monitoring of Industrial Processes via Non-stationary Probabilistic Slow Feature Analysis Machine Learning Algorithm
DownloadSpring 2020
This research develops a first of its kind machine learning (ML) algorithm, called probabilistic slow feature analysis (PSFA), that monitors and detects faults for non-stationary industrial processes. The novelty of this ML algorithm is that it can monitor and detect faults for non-stationary...