Engineering Commons^™

Hydrogen-Induced Transformations In Dolomite: Unlocking Natural Hydrogen Exploration And Subsurface Storage In Carbonates, Krista Davies, Lionel Esteban, Joel Sarout, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Large-scale subsurface geological storage of hydrogen can significantly contribute to the energy transition to low-carbon fuels by addressing the intermittency of renewable energy systems. Dolomite formations are abundant and well-suited for hydrogen storage due to their favorable reservoir properties. Natural hydrogen has also been discovered within dolomite reservoirs globally. Despite their potential, interactions between hydrogen and dolomitic formations under subsurface conditions remain poorly understood, particularly regarding mineralogical transformations and reaction kinetics to assess potential risk for reservoir quality for long-term storage and key indicators for natural hydrogen exploration. This study examined physicochemical changes in dolomitic samples during high-pressure hydrogen ageing …

Sensitivity Analysis Of Reservoir Characteristics And Flue Gas Composition For Enhanced Oil Recovery In Heterogeneous Reservoir, Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

The success of enhanced oil recovery depends on optimizing various reservoir factors. While CO2 and flue gas injections are common methods, they encounter challenges that require a deep understanding of reservoir characteristics and thorough analysis of pertinent parameters for effective mitigation. This study aimed to explore the synergistic relationship between flue gas compositions, reservoir characteristics, and injection rates for optimal oil recovery. Unlike prior studies that primarily examined the isolated effects of CO2 or flue gas, this research uniquely investigates the combined impact of real-world flue gas compositions from industrial sources under heterogeneous reservoir conditions. Through extensive sensitivity analysis and …

Characterization Of Load-Bearing And Failure Properties Of Fractured Rock Masses Reinforced By Negative Pressure Grouting, Juejing Fang, Kelly Yang, Farhad Aslani, Xin Lyu, Xiang He, Guiquan Li, Jiqiang Zhang

Research outputs 2022 to 2026

Grouting injection is a vital technique for addressing the challenges of high stress and significant deformation in the surrounding rock during deep mining operations, playing a crucial role in promoting green and low-carbon extraction methodologies. In this study, grouting reinforcement processes were examined by conducting grouting experiments on a fractured rock with varying negative pressures (0–100 kPa), followed by uniaxial compression testing of the grout-reinforced bodies. This investigation explored the diffusion patterns of grout under negative pressure and established a constitutive model of damage-bearing capacity for bodies reinforced by negative pressure grouting. It further studied the enhancement effect of negative …

Design Of A Robust Adaptive Cascade Fractional-Order Nonlinear-Based Controller Enhanced Using Grey Wolf Optimization For High-Power Dc/Dc Dual Active Bridge Converter In Electric Vehicles, Seyyed Morteza Ghamari, Daryoush Habibi, Mehrdad Ghahramani, Asma Aziz

Research outputs 2022 to 2026

The dual active bridge (DAB) converter is a key technology in electric vehicles (EVs), offering efficient, bidirectional DC–DC power conversion with galvanic isolation. This paper presents a novel cascade control strategy incorporating a fractional-order PID (FOPID) controller in the outer loop for precise voltage regulation and an adaptive backstepping controller (ABSC) in the inner loop for robust current control. The ABSC is designed using Lyapunov stability theory, ensuring systematic stabilization of nonlinear dynamics and robust performance under disturbances. The FOPID controller introduces superior filtering characteristics, effectively mitigating high-frequency measurement noise and transient disturbances, making it highly suitable for high-frequency power …

A Comparative Study Of Aluminium Properties Manufactured Using Additive Friction Stir Deposition (Afsd) And Wire Arc Additive Manufacturing (Waam), Numan Habib, Ana Vafadar, Ferdinando Guzzomi

Research outputs 2022 to 2026

Wire arc additive manufacturing (WAAM) has recently gained considerable attention due to its capability to manufacture large-size metal with a length of one meter or above, with good microstructural and mechanical properties. However, the manufacture of critical components exposed to extreme environmental conditions, such as high stresses, remains the focus of most research studies. The applications of WAAM in high-tech industries, such as aerospace and marine modes, remain limited due to metallurgical challenges such as oxidation, porosity, cracking, and deformation, especially for high-strength aluminium alloys, including 6XXX and 7XXX series. The aforementioned metallurgical challenges in WAAM are minimized to some …

From Waste To Worth: Advances In Energy Recovery Technologies For Solid Waste Management, Tarek Abedin, Jagadeesh Pasupuleti, Johnny Koh Siaw Paw, Yaw Chong Tak, Md Rakibul Islam, Mohammad Khairul Basher, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

Abstract: Clean, inexpensive, and renewable energy sources with zero adverse environmental impact are essential for long-term sustainability. Implementing waste-to-energy (WtE) technologies has been suggested to improve solid waste management and promote the development of clean and sustainable urban environments. This involves the retrieval of waste materials and their conversion to electricity. By 2050, the global rate of Municipal Solid Waste (MSW) production is anticipated to rise to 2.01 billion tonnes annually. This study evaluated various WtE technologies that have been developed to date. These technologies can be categorized into three groups: thermochemical methods (incineration, pyrolysis, and gasification), biochemical methods (anaerobic …

Optimization Of Inverted Perovskite Solar Cells: Simulation Insights Into Nio And Mixed-Cation Integration For Enhanced Efficiency, Bo Yao, Hairul Mardiah Hamzah, Sharifah Fatmadiana Bt Wan Muhammad Hatta, Faiz Arith, Mohammad Nur-E-Alam, Mohammad Aminul Islam

Research outputs 2022 to 2026

Inverted perovskite solar cells are one of the most promising technologies for the next generation of photovoltaics, due to excellent stability and a relatively simple fabrication process. Nevertheless, attaining high efficiency remains a challenge in integrating appropriate materials for HTL and an absorber layer. This work focuses on SCAPS-1D simulations to optimize the design of inverted PSCs using NiO as the HTL and a mixed-cation perovskite, MA₀.₄FA₀.₆PbI₃, as an absorber. By employing a controlled variable method, the thickness of the absorber layer was optimized within the range of 300 nm to 900 nm. The optimal performance was achieved when the …

Characterization, Optimization, And Performance Evaluation Of Pcm With Al2o3 And Zno Hybrid Nanoparticles For Photovoltaic Thermal Energy Storage, Md Golam Kibria, Utpol K. Paul, Md Shahriar Mohtasim, Barun K. Das, N. N. Mustafi

Research outputs 2022 to 2026

The electrical efficiency of the photovoltaic (PV) panel is affected significantly with increased cell temperature. Among various approaches, the use of Phase Change Materials (PCMs) with nanoparticles is currently one of the most effective for reducing and managing the temperature of PV panels. In this study, paraffin wax as PCM with different loading levels (0.5 %, 1 %, and 2 %) of hybrid nanoparticles Al2O3 and ZnO were successfully synthesized and their effects on the performance of the Photovoltaic-Thermal (PVT) system were investigated experimentally. Additionally, a prediction model was developed to analyze the interaction between the operating factors (independent variable) …

Corrosion Behavior Of Niti Alloys Fabricated By Laser Powder Bed Fusion In Relation To The Formed Passive Films In Hank's Solution, Yi Fan Zhang, Liang Yu Chen, Yong Liu, Hong Yu Yang, Jin Hua Peng, Chuanbo Zheng, Lina Zhang, Lai Chang Zhang

Research outputs 2022 to 2026

Laser powder bed fusion (L-PBF) produced NiTi alloys have significant potential in biomedical applications. Varying the parameters of the L-PBF process may result in the NiTi alloys with different ratios of B2 and B19′ phases, thereby, the different corrosion performance in the human body. However, a dearth of research efforts remains dedicated to resolving this issue. This work employed three different but comparable sets of parameters in the L-PBF process to produce NiTi alloys with different ratios of B2 and B19′ phases. The corrosion behavior of samples in Hank's solutions with the addition of lactic acid and their evolution of …

Forecasting Data-Driven System Strength Level For Inverter-Based Resources-Integrated Weak Grid Systems Using Multi-Objective Machine Learning Algorithms, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum

Research outputs 2022 to 2026

Shortage of grid-fault level, known as system strength inadequacy, impacts on grid instability and can lead to blackouts. System strength is generally measured by short circuit ratio index at point of coupling (POC) of inverter-based resources (IBRs) and the grid system. Nowadays, accurate knowledge of system strength forecasting for ‘next day’ to ‘next week’ duration is essential to power system operators, owing to the higher-growth of IBRs. However, releavant publications about this subject remain limited when compared with load demand, active and reactive power prediction. Therefore, a data-driven system strength forecasting scheme is presented in this paper to surmount these …

Mxene Based Composite Phase Change Materials For Thermal Energy Storage Applications: Featuring Bio-Mimic Approaches, Md Shahriar Mohtasim, Barun K. Das

Research outputs 2022 to 2026

Phase change materials (PCMs) are widely used in thermal energy storage systems, but their underlying drawbacks, such as poor heat conductivity and phase transition leakage, make them unsuitable for widespread use. MXenes have received a lot of curiosity due to having extraordinary mechanical properties, high electrical conductivity, and unique layered structure. Owing to the exquisite arrangements, numerous unique biomimetic morphologies have drawn attention. Numerous investigations regarding bio-mimic MXene/PCM composites (BMX-CPCMs) have found improvements in latent heat up to 106.50 % on average, along with excellent thermal stability with no matrix leakage in 500 cycles and an upsurge in thermal conductivity …

Sub-Bituminous Coal As A Peculiar Adsorbent For Dye Removal From Wastewater, Z. H. Rada, H. R. Abid, M. B. Ahmed, M. Zargar

Research outputs 2022 to 2026

Coal, an abundant and cost-effective adsorbent, is explored for its potential in environmentally friendly greenhouse gas storage. Herein, the adsorption of anionic (methyl orange) and cationic (methylene blue) dyes on sub-bituminous coal was intensively studied. This study is the first application of sub-bituminous coal to examine the removal of different concentrations of dyes from water. The properties of the coal were studied using advanced analytical techniques. The initial dye concentration, solution pH, and adsorbent-adsorbate contact time were investigated for their influence on the adsorption efficiency of the dyes. Adsorption kinetics were then studied by applying common kinetic models and the …

Measuring Occupant Controlled Ventilation And Cooking Frequency To Aid In Modeling Energy Performance Of Northern Michigan Homes, Jacob J. Chizek

Dissertations, Master's Theses and Master's Reports

This research investigates the real-world interplay between energy efficiency and indoor air quality. We explore how home ventilation strategies, heating systems, and weatherization levels in rural homes interact. As part of a larger study on air quality, 17 homes participated in the study. Specifically, this research shows the results and methods for monitoring cooking frequency, kitchen range hood use, and bathroom fan use over two, month-long study periods to build accurate energy and contaminant transport models of homes that were studied. Energy audits to document home characteristics were conducted, including blower door testing and detailed qualitative data regarding the homes’ …

Microbial Inactivation And Spray Drying For The Recovery Of Single-Cell Protein From Chemically Deconstructed Polyethylene Terephthalate, Reeba Elizabeth Reji

Dissertations, Master's Theses and Master's Reports

Polyethylene terephthalate (PET) is one of the most widely used polymers in plastics packaging. However, the increasing demand for PET has created challenges in waste disposal. Previous research has shown that PET can be deconstructed using ammonium hydroxide (CDPET). Microorganisms capable of utilizing the product as a sole carbon source can be converted to single-cell protein (SCP). A custom microbial inactivation unit was developed to ensure the safety and stability of generated SCP. Our study evaluated the effect of exposure time (45–60 minutes) at 140 °C with the goal of maximizing microbial inactivation. Our findings suggest that microbial inactivation can …

Community Diversity And Makeup Affect The Capacity For Bioconversion Of Chemically Deconstructed Pet Plastic Waste Into Biomass, Hunter Stoddard

Dissertations, Master's Theses and Master's Reports

Plastic waste management is an issue worldwide, particularly for locations with challenging logistics, such as remote locations, those impacted by natural disasters, and regions with armed conflict. These locations also struggle with food logistics and malnutrition. It is possible to tackle both issues by combining chemical deconstruction to depolymerize plastic waste with microbial conversion of the liquid product into biomass that can be used as an edible protein powder. The focus of this work is on the bioconversion of products from the chemical deconstruction of polyethylene terephthalate (PET) using ammonium hydroxide. Microbial communities have previously been shown to utilize the …

Intelligent Systems For Synergistic Optimization Of Vehicle Dynamics And Energy Consumption In Connected And Automated Vehicles, Aman Poovalappil

Dissertations, Master's Theses and Master's Reports

This dissertation focuses on the development and validation of on-board, real-time estimation algorithms and the investigation of energy-saving strategies for modern light-duty vehicles, including connected and automated vehicles (CAVs). The accurate estimation of key vehicle parameters is critical for enhancing energy efficiency, enabling advanced driver-assistance systems (ADAS), and optimizing vehicle performance and energy efficiency. First, this research introduces a novel real-time algorithm to dynamically learn vehicle mass using readily available sensor data. Based on longitudinal vehicle dynamics, a sensitivity analysis was conducted to identify the conditions under which mass estimation is most robust. The algorithm was extensively validated through on-road …

Holistic Energy Efficiency Analysis Of Electrified Off-Highway Material Handler: From Drive Cycle Characterization To Powertrain, Hydraulic, And Thermal System Performance, Alexander Czarnecki

Dissertations, Master's Theses and Master's Reports

Three complexities surrounding the operation and testing of hybrid electric, heavy-duty nonroad machines have been addressed experimentally and using 1D simulation. Their resolutions have been intertwined with the development of a prototype machine that was proven to reduce fuel consumption in excess of 20%. A real-world drive cycle that leveraged hydraulic cylinder position was developed and utilized to ensure accurate reproduction of hydraulic work between the baseline and hybrid machines, while simultaneously maintaining less than 5% RMS error in position for main load handling functions. The newly developed, machine-specific drive cycle also contributed towards making equivalent comparisons in energy consumption …

Direct Methane Capture Via Aerobic Methanotrophs, Waaseyaaban Landgren

Dissertations, Master's Theses and Master's Reports

Methane, a greenhouse gas with global warming potential 80 times greater than carbon dioxide, heavily contributes to global warming. Removing 1 Gt of atmospheric methane by 2050 would limit global temperature increase from reaching 1.5°C. Currently, biotrickling filter systems for removing atmospheric methane via methanotrophs exist, but not for very low methane concentrations (< 1 v%). Current research work at the University of Washington isolated and engineered a microbe strain which thrives at 500 ppmv methane, solving one obstacle in making this technology feasible. In this thesis, techno-economic analysis and environmental life cycle assessment conducted on this process have assessed its economic feasibility, greenhouse gas reduction potential, and possible areas of improvement. Study results show that at 500 ppmv methane, this process could remove atmospheric methane at a cost of $3,992-5,224 per tCH₄. The ideal case also produces annual net reduction in warming potential by 276-311 tCO₂e per process unit deployed.

Generalizing Medical Image Segmentation Task With Efficient Deep Learning Models, Abel A. Reyes-Angulo

Dissertations, Master's Theses and Master's Reports

Medical Image Segmentation is a critical task in the field of medical imaging, playing a crucial role in diagnostics, treatment planning, and disease monitoring. The emergence of Deep Learning (DL) has ushered in a new era in Artificial Intelligence (AI), propelling remarkable advancements in key domains like language translation, object recognition, and recommendation systems. This evolution has been accompanied by continuous enhancements in computational efficiency and improvements in predictive accuracy. The introduction of sophisticated algorithms, such as convolutional neural networks (CNNs) and transformers, exemplifies these advancements. DL algorithms have demonstrated exceptional efficacy in medical image segmentation tasks, showcasing the potential …

Estimating Unconfined Compressive Strength (Ucs) Of Rocks From Measurement While Drilling (Mwd) Data, Can Erdem

Dissertations, Master's Theses and Master's Reports

Measurement-while-drilling (MWD) technology enables the real-time monitoring of drilling parameters during the drilling process. MWD data can provide valuable insight into the mechanical behavior of intact rocks and rock masses, which is essential for geotechnical applications such as foundation design and underground construction. The aim of this study is to correlate real-time drilling parameters, recorded using a laboratory-developed MWD system, with the unconfined compressive strength (UCS) of rocks. A custom laboratory MWD system was designed to simultaneously record four key drilling parameters: thrust (axial force, crowd), torque, penetration rate, and rotational speed. The custom-built MWD system was used to continuously …

Design And Control Of Reversible Adhesion: Switchable Adhesive Molecules And Electrochemical Approaches, Kan Wang

Dissertations, Master's Theses and Master's Reports

Smart adhesives are materials that can reversibly gain or lose adhesion in response to external stimuli such as temperature, pH, electric fields, or light. Their switchable and temporary adhesion makes them highly promising for applications in wound healing, manufacturing, and robotic locomotion. Among them, catechol-based polymers have been widely studied for pH- and electro-responsive adhesion, due to their reversible non-covalent crosslinking. However, their performance is limited by irreversible covalent crosslinking reactions and the need for conductive surfaces in electrochemical systems. While boronic acid has been used to protect catechol, its reversibility remains limited. Therefore, new adhesive molecules and system designs …

Performance And Environmental Impact Of Waste Glass Asphalt In Cold Regions, Kai Xin

Dissertations, Master's Theses and Master's Reports

The reuse of waste glass in asphalt mixtures has significant potential in sustainable pavement engineering, yet its performance under cold, freeze–thaw conditions remain underexplored. This dissertation presents a first-of-its-kind comprehensive evaluation of glass asphalt for cold regions, simultaneously assessing its low-temperature cracking resistance, moisture susceptibility, field performance, and life-cycle environmental impacts. A series of laboratory tests were performed on asphalt mixtures incorporating various proportions of crushed waste glass aggregate, including Disk-Shaped Compact Tension (DCT) and Indirect Tensile (IDT) tests for low-temperature fracture resistance, and Tensile Strength Ratio (TSR) and Hamburg Wheel Tracking (HWTT) tests for moisture damage and rutting susceptibility. …

Dam It All: A Multi-Scalar Investigation Into The Ecological Role And Function Of Beaver Dams, Kenneth Larsen

Dissertations, Master's Theses and Master's Reports

The central theme of this dissertation is ecological scaling, which examines how small, localized features, such as beaver ponds, contribute to large-scale watershed processes and how different modeling approaches at various scales reveal distinct insights. Through a combination of probabilistic modeling and high-resolution empirical research, this work demonstrates that small ponded systems, particularly those created by beavers (Castor canadensis), serve as critical biogeochemical control points, whose contributions to sediment and nutrient dynamics have been historically underestimated.

In Chapter 1, I contextualize this research within the broader fields of freshwater ecology, watershed modeling, and ecological restoration. I introduce the …

Innovations In Balanced Mix Design: Establishing Gwp Thresholds For Various Nmas And Evaluating Superpave Vs. Bmd In High Content Rubber Asphalt, Kai Xin

Dissertations, Master's Theses and Master's Reports

Traditional volumetric asphalt mix design methods, such as Superpave, frequently struggle to address critical performance parameters, leading many agencies to seek more robust approaches. Balanced Mix Design (BMD) has emerged as a forward-looking alternative by directly measuring rutting and cracking resistance in the laboratory. In this study, BMD principles were applied to asphalt mixtures featuring three distinct NMAS mixes and two high content rubber mixes, introduced through both dry and semi-wet processes. Compared with conventional volumetric constraints, BMD provided greater flexibility in adjusting binder content and gradation to accommodate elevated crumb-rubber levels. The resulting mixtures satisfied both rutting and cracking …

Batteryless Nfc-Enabled Wireless Sensor Node: Design, Optimization, And Implementation, Rishin Patra

Dissertations, Master's Theses and Master's Reports

This thesis presents the design, construction, and testing of a batteryless Near-field communication (NFC) powered wireless sensor node intended for maintenance free, short range Internet of Things (IoT) applications. The work focuses on harvesting energy from a 13.56 MHz NFC field to power a very low-power sensing platform capa- ble of measuring temperature, pressure, and humidity without the use of batteries or wired power. The motivation behind this approach is the growing need for reliable, sustainable, and low-maintenance sensing systems that can operate in environments where battery replacement is impractical, undesirable, or environmentally costly. The prototype is built around a …

Iron Ore Tailings Reprocessing By Electrostatic Separation Plus Two Stages Froth Flotation, Vincent Bailey Arohunmolase

Dissertations, Master's Theses and Master's Reports

The reprocessing of tailings is crucial for recovering valuable iron and reducing the environmental impact associated with tailings disposal. This study investigates the practicality of reprocessing tailings to enhance iron oxide content, combining electrostatic separation with a two-stage froth flotation process using oleic acid (direct flotation) and amine (reverse flotation). The primary goal is to efficiently recover valuable iron from tailings, thereby reducing waste and promoting sustainable resource utilization. The process aims to upgrade the iron oxide content to around 93-99% Fe₂O₃, making the recovered material suitable for the production of direct-reduced iron.

Electrostatic separation was …

Bayesian Alloy Design With Additive Synthesis, Michael R. Sulwer

Dissertations, Master's Theses and Master's Reports

To reduce carbon emissions and increase power out, steam powerplants need to increase the operating temperatures and pressures of steam turbines to improve efficiency. This necessitates the development of high temperature alloys with superior strength and stability. This research aims to design a class of solid solution High Entropy Alloys (HEAs) to exceed the high temperature performance of commercial alloys like Haynes 230 while maintaining comparable costs for Advanced Ultra Supercritical (A-USC) steam cycles. This project integrates Bayesian optimization and Calculation of Phase Diagrams (CALPHAD) within an Integrated Computational Materials Engineering (ICME) framework to predict and optimize key material properties: …

Stability And Resonance Of Cylindrical Wave Energy Converters, Gregory M. Ballen

Dissertations, Master's Theses and Master's Reports

With increased focus on wave energy converters that produce power in multiple degrees of motion, more tools are necessary to understand the behavior of these devices and cause them to reach critical resonance points. This thesis uses Floquet theory and a numerical solver to understand how a WEC of given parameters operating in surge, heave and pitch may approach points of instability using feedback control schemes. It finds that a WEC reaches these resonance points when the surge and pitch motions are driven to resonate at either the same frequency as the heave motion, or at half this frequency. This …

Molecular Modeling Methods And Applications For Accelerating Polymerization And Pyrolysis Studies, Joshua D. Kemppainen

Dissertations, Master's Theses and Master's Reports

Polymer matrix composites and carbon-carbon composites play critical roles in the aerospace, automotive, and construction industries. Different matrix materials and processing conditions can lead to a large variety of composite materials and composite properties. Integrated computational materials engineering has been used to tailor PMC matrix materials and processing conditions to specific properties and manufacturing techniques. The integrated computational materials engineering process modeling framework uses molecular dynamics at the nanometer length scale to characterize the evolving thermo-mechanical properties of the polymer as it cures. Then finite element analysis is used at the micrometer length scale to adjust cure cycles to tailor …

Leveraging Product And Process Characteristics Across The Concrete Pavement Life Cycle To Integrate Global Warming Potential Into Project Procurement Processes, Michelle Annette Cooper

Dissertations, Master's Theses and Master's Reports

The objective of this research is to support sustainable procurement of concrete pavements by linking materials-level global warming potential (GWP) to the project-level. Infrastructure owners require reliable environmental product declarations (EPDs) and methodologies for integrating GWP into the procurement process to ensure equitable decision-making. This work provides insights into current EPD reliability by assessing the sensitivity of concrete GWP to materials-level contributors to recommend a level of supply chain specificity needed to effectively communicate GWP. A benchmarking methodology was developed and implemented to establish reference values for procuring sustainable products. Having provided evidence towards EPD reliability, this work presents a …