Engineering Commons^™

Community Energy Storage: A Framework For Enhanced Energy Trading And Cost Efficiency, Bassam Al-Hanahi, Aziz

Research outputs 2022 to 2026

The integration of renewable energy sources (RES) into modern electricity grids introduces substantial challenges, primarily due to their inherent variability and the critical need for real-time supply-demand balancing. Community Battery Storage system (CBSS) has emerged as an effective strategy to address these challenges, enhancing grid stability and providing localized economic benefits through optimized energy storage and management. This paper presents a novel energy trading framework that prioritizes community welfare by balancing the reduction of user energy costs with CBSS revenue generation. The proposed model employs a multi-objective optimization approach, utilizing the epsilon-constraint method to strike an optimal balance between minimizing …

Fundamental Surface Chemistry And Mechanistic Insights Into The Flotation Of Tellurium-Bearing Pyrite From Sulfide Tailings, Mulenga Chibesa, Fardis Nakhaei, Lana Alagha

Mining Engineering Faculty Research & Creative Works

Tellurium (Te), a critical element for photovoltaic technologies, commonly occurs as a trace constituent in pyrite, which is typically depressed during copper porphyry flotation process and discarded to tailings. Selective flotation of pyrite offers a promising route to enhance Te production within the copper supply chain, although its recovery is often limited by surface oxidation and hydrophilic passivation. This study establishes a mechanistic framework to improve flotation of Te-bearing pyrite from copper sulfide tailings. Micro flotation tests designed using Box–Behnken response surface methodology revealed significant nonlinear and synergistic effects of pH, potassium amyl xanthate (PAX), methyl isobutyl carbinol (MIBC), and …

Understanding Structural Risk: Seismic Demand For Low-Fill Slender Fuel Tanks, David Yang, Sam Anderson

Civil and Environmental Engineering Faculty Publications and Presentations

Older fuel storage tanks, such as those in Oregon's CEI Hub, present significant seismic vulnerabilities, prompting proposals to limit storage capacity as a transitional risk mitigation measure before more permanent retrofitting actions. However, a critical knowledge gap exists regarding the applicability of standard analysis methods, like API 650, to low-fill conditions. This study utilizes the Veletsos-Yang iterative fluid-tank interaction procedure to evaluate the seismic demand of low-fill slender tanks. The analysis reveals that low-fill slender tanks exhibit slightly longer impulsive periods compared to fully-filled tanks with identical fill-height to radius ratios. Furthermore, the fixed roof mass of a low-fill tank …

Interstitial Fluid N-Glycans Serve As A Proxy For Serum Biomarker Discovery In A Pilot Study, Radka Saldova, Talus K. Gaymore, Caitriona Walsh, Eder Zavala, Paula M. Mendes

Student Papers, Posters & Projects

Protein glycosylation is the most prevalent post-translational modification and is known to undergo profound alterations in disease. While serum N-glycosylation has been extensively studied, interstitial fluid is gaining prominence as a minimally invasive biomarker source, underscored by the widespread clinical adoption of wearable glucose monitors in diabetic patients. However, the glycomic landscape of interstitial fluid remains largely unexplored. Here, we have performed a comparative analysis of the N-glycome from interstitial fluid and matched plasma from five healthy volunteers using liquid chromatography, mass spectrometry and exoglycosidase digestions. Strikingly, the interstitial fluid N-glycome closely shows overlapping profiles with the plasma of each …

Property Tables For Thermally Perfect Gases At Low Pressure, Travis J. Moore, Matthew R. Jones

Faculty Publications

Tables giving gas properties at low pressure enable the efficient analysis of processes in which the gas is approximated as thermally perfect but not calorically perfect. In addition to specific enthalpy and specific internal energy, thermally perfect gas tables include special functions that depend only on temperature—relative pressure and relative specific volume. These functions may be used to determine pressure, volume, and temperature of thermally perfect gases undergoing hypothetical isentropic processes. However, the definitions of these functions included in widely used thermodynamics textbooks are vague, inconsistent, or incorrect. The intent of this work is to discuss common inaccuracies in the …

Technological Advancements Of Hybrid Rocket Engines For Sustainable And Competitive In-Space Propulsion Applications, Ryan J. Thibaudeau, Stephen A. Whitmore, Jared Coen, Joshua Sorenson, Logan Mecham, Ava Wilkey

Mechanical and Aerospace Engineering Student Publications and Presentations

Hybrid rocket engines (HREs), which pair a fluid oxidizer with a solid fuel, offer safety and handling advantages, can reduce environmental impact relative to selected legacy systems, and are capable of deep throttling and restart, making them strong candidates for “green” in-space propulsion applications. However, until very recently, there has not been any flight heritage of an HRE used in a spaceflight mission. Over the past decade, the Propulsion Research Laboratory at Utah State University (PRL-USU) has matured a portfolio of HRE technologies—low-energy arc ignition, digital throttling, additively manufactured sustainable fuels, the Nytrox green oxidizer, and electroplated thruster assemblies—that together …

Seasonal Changes In Sediment Sound Speed Profiles, Charles W. Holland, Chad Smith, Tim Sonnemann

Electrical and Computer Engineering Faculty Publications and Presentations

Marine sediment sound speed profiles in the upper ten meters are generally assumed to be constant with time. Models predict that substantive changes occur because of thermal conduction from seasonally varying bottom water temperature. However, definitive measurements have been lacking. In this work, sediment sound speed profiles obtained during different seasons show significant differences in the upper 9 m of mud at the New England Patch. Gradients in late March 2017 are 6.0 s−1 and in early October 2025, 2.6 s−1. This change is shown to have a significant impact on acoustic propagation.

Techno-Economic And Environmental Analysis Of A Hybrid Renewable Energy System With V2h Support For Remote Australian Communities, Tushar Kanti Roy, K. Das, Md Apel Mahmud

Research outputs 2022 to 2026

Remote Australian communities continue to experience persistent energy insecurity and increased greenhouse gas emissions due to their reliance on diesel-based microgrids. In response, this study presents a comprehensive techno-economic and environmental assessment of a hybrid renewable energy system integrating solar photovoltaics (PVs), wind turbines (WTs), battery energy storage systems (BESSs), and electric vehicles (Evs) with vehicle-to-home (V2H) functionality. Three system configurations are evaluated over a full-year simulation horizon using realistic solar irradiance, wind speed, household electricity demand, and driving profiles of electric vehicles: (i) off-grid (PV–WT–diesel generator (DG)), (ii) on-grid (PV–WT-BESS–Grid), and (iii) off-grid with V2H. System operation is coordinated …

Case Study: Feasibility Of Creating A Simulated Mobile Data Center For Cross-Disciplinary Academic Programs, Stanley Mierzwa, Christoper J. Schultz, Iassen Christov, Michael Fagioli, Thomas Ikeda, Reinaldo Jaramillo, Giolian Sanagustin

Center for Cybersecurity

This case study examines the potential to envision, create, and deploy a simulated mobile micro data center solution that can be easily replicated and transported between locations and educational settings. The coined term for this solution is the Mobile AI-Centered Data Center (Mobile ACDC), which provides students with a platform to construct, in a hands-on fashion, such a solution and navigate the product to gain greater competencies and understanding of the components found in a data center. Instructor and student feedback assessments from the pilot classroom modules and laboratory experiential learning activities indicate that such a solution helps to improve …

Analysis Of The Fracture Toughness Of Ercual A2 Cladding On Api X70 Using The Instrumented Charpy Impact Test, Martín Aguirre-Pulido, Francisco Fernando Curiel-López, Jose Jaime Taha-Tijerina, Jorge Alejandro Verduzco-Martínez, Víctor Hugo López-Morelos, Heriberto Granados-Becerra, Ariosto Medina-Flores

Mechanical Engineering Faculty Publications

The degradation of steel used in the oil industry has become a serious problem due to the high costs associated with material loss from corrosion. Applying thin layers of corrosion-resistant material promises to be a viable alternative for extending the service life of pipelines. ERCuAl-A2 electrode claddings were applied to API X70 carbon steel using the MIG brazing process with direct current (DC) and pulsed current (P). The cladding was applied under three conditions: base material (BM) at room temperature, BM preheated to 120 °C, and Ni-buttered BM. Microhardness profiles and Charpy impact tests were performed on the MB and …

Mxene-Based Optical Fiber Sensors For Chemical And Biosensing: Review And Perspectives, Chen Zhu, Huaijun Guan, Chenxi Huang, Rex E. Gerald, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Incorporating Increased Road User Costs Into Pavement Management Modeling: A Case Study Of Two-Lane Rural Highways, Khaled A. Abaza, Mohamed S. Yamany

Faculty Publications

The impact of increased road user costs on optimal pavement rehabilitation plans has been investigated using a simplified pavement management model. The increased road user costs include elevated vehicle operating costs (VOCs) due to work-zone lane closures and traveling on severely deteriorated pavements. A model is proposed for estimating the VOC for work-zone lane closures on two-lane rural highways, considering both stopping and idling costs. Another model for approximating the increased VOC associated with driving on poor/bad pavements is suggested as a function of the relevant VOC rate and a proportionality factor. Sample results are presented for a two-lane rural …

Signal And Substance: Why Methodological Sophistication Fails To Guarantee Inference, Aamir Rashid, Rizwana Rasheed

Publications and Research

Despite increasing analytical sophistication, empirical research in organization studies continues to suffer from fragile inference, uneven theoretical accumulation, and contested credibility. This paper seeks to explain why these problems persist by shifting attention from authors’ methodological choices to the evaluative dynamics of peer review. Adopting a conceptual and theory-analytic approach, the paper theorizes peer review as an inferential gatekeeping system. Drawing on research design, theory evaluation, and philosophy-of-science literatures, this study develops an analytical framework to examine how evaluative routines shape what constitutes empirical rigor during the review process. The analysis identifies five recurring reviewer blind spots: inferential scope inflation, …

Gust-Induced Aerodynamic Performance In Insects' Forward Flapping Flight, Arash Farsani, Ori Stearns, Gal Ribak, Roi Gurka

Physics and Engineering Science

Flapping-wing flight is inherently unsteady, where atmospheric gusts can substantially degrade the aerodynamic performance when their characteristic time scales are comparable to the wingbeat period. This study presents a numerical investigation and time–frequency characterization of gust-induced aerodynamic response of flapping wings of varying size, inspired by the flight of a longhorn beetle, Batocera rufomaculata. Geometrically similar wings spanning the biological range were simulated in forward flight under identical prescribed kinematics and a transient frontal gust with a smoothly ramped profile. Three-dimensional unsteady Reynolds-averaged Navier–Stokes simulations using the shear stress transport k–ω turbulence model were performed to resolve the instantaneous pressure …

Upar-Guided Dendrimer Gel Nanoparticles Reprogram Inflammation To Stabilize Atherosclerotic Plaques, Hsin Yin Chuang, Huari Kou, Yue-Wern Huang, Hu Yang

Biological Sciences Faculty Research & Creative Works

Atherosclerosis is characterized by lipid deposition, chronic inflammation, and apoptosis within the arterial wall, leading to plaque progression and instability. Current lipid-lowering therapies fail to fully address residual cardiovascular risk driven by local inflammation and cell death. Here, we report the development of uPA-functionalized, rapamycin-encapsulated dendrimer nanoparticles (G5PM-uPA/RA) that preferentially accumulate in urokinase plasminogen activator receptor (uPAR)-enriched atherosclerotic plaque, including macrophage- and apoptosis-rich lesion microenvironments. G5PM-uPA/RA was constructed by cross-linking reaction-enabled flash nanoprecipitation in a custom-made multi-inlet vortex mixer, followed by thiol-maleimide conjugation of uPA for uPAR-guided targeting. The nanoparticles demonstrated uniform morphology, favorable stability, and efficient rapamycin loading. In …

Comparative Lca Of Germanium Production From Coal Fly Ash Using Chlorinated Distillation And Solvent Extraction, Dennis Dadzie, Kwame Awuah-Offei, Michael Moats, Nasib Al Habib, Weston Hartzell

Mining Engineering Faculty Research & Creative Works

Germanium is increasingly important for high-tech applications, yet its supply chain is vulnerable, with production limited to a few countries. Although prior research has explored alternative techniques for extracting and recovering germanium, the literature lacks comparative life-cycle evidence that quantifies their environmental burdens and translates findings into actionable (policy) recommendations. This paper presents a cradle-to-gate life-cycle assessment that compares the environmental burdens of producing 1 kg of single-crystal germanium from coal fly ash via chlorinated distillation (CD) and solvent extraction (SX). Under the study's assumptions, CD has lower potential impacts in 15 of 19 impact categories, while both routes show …

Electrospinning Of Covalent Organic Frameworks (Cofs) For Adsorption Of Heavy Metal Ions, Samar A. Salim

Nanotechnology Research Centre

This study reported the synthesis, electrospinning, and heavy metal adsorption of covalent organic frameworks (COFs) integrated into poly(methyl methacrylate) (PMMA) nanofibers. COF-1 and COF-2 were synthesized by solvothermal and reflux techniques, respectively, and subsequently incorporated into PMMA via electrospinning with different loadings (0.1%, 0.5%, and 1.0%). The synthesized PMMA_COF nanofibers were analyzed utilizing X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), and diffuse reflectance spectroscopy (DRS). PMMA_COF nanofibers with fiber diameters of 350-450 nm were obtained. The structural and morphological investigations validated the effective integration of COFs into the PMMA matrix, with COF-1 demonstrating superior dispersion …

Coherent Two-Photon Backscattering And Induced Angular Quantum Correlations In Multiple-Scattered Two-Photon States Of The Light, Nooshin M. Estakhri, Theodore B. Norris

Engineering Faculty Articles and Research

We present the emergence of coherent two-photon backscattering, a manifestation of weak localization, in multiple scattering of maximally entangled pure and fully mixed two-photon states and examine the effect of entanglement and classical correlations. Quantum correlations in backscattering are investigated for finite three-dimensional disordered structures in the weak localization regime, as well as systems of a small number of scatterers with specified spatial arrangements. No assumptions are made about the statistical behavior of the scattering matrix elements. Furthermore, we study the interplay between quantum correlations induced by multiple scattering and the correlations that may be present in the illumination fields, …

3d Semi-Analytical Thermo-Elasto-Plastic Model For Additive Manufacturing, Tao Liu, Ming C. Leu, Edward C. Kinzel, Chinedum Okwudire

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In additive manufacturing (AM), stress field drives distortion and warping and promotes delamination and cracking. Fast, accurate stress prediction is therefore essential for AM process planning and control, including real-time adaptive control, AM digital twins, data-driven and physics-driven workflows. However, spot-wise thermo-elasto-plastic finite element method (FEM) are often too slow for design iteration or real time use. Existing semi-analytical thermo-elasto-plastic approaches achieve high speed but are largely limited to 2D. In this paper, a full 3D semi-analytical thermo-elasto-plastic model for AM is built. The method uses a spot-wise analytical thermal field as the load and computes displacements and stresses via …

Purification And Concentration Of Model Viruses Using Single-Pass Tangential Flow Filtration, Luis Alberto Mejía-Manzano, Lynn M. Manchester, Grace Wallis, Kan Wang, Bruce Lee, Michael Betenbaugh, Caryn Heldt

Michigan Tech Publications

The vaccine and viral vector industry is growing at an accelerated rate. To improve harvest and purification processes, the development of continuous membrane-based operations, such as normal flow filtration (NFF) and single pass tangential flow filtration (SPTFF) for concentration were explored. This work was conducted using two model viruses, non-enveloped porcine parvovirus (PPV) and enveloped Suid herpesvirus (SuHV). The viruses are in the same family as the gene therapy vectors adeno associated virus and herpes simplex virus, respectively. SPTFF design started with batch TFF for membrane selection. Hollow fiber membranes with a 100 and 300 kDa molecular weight cut off …

Energy Efficiency Limits And Future Electricity Demand Of Computing Devices, Ricardo Pinto, Tiago Domingos, Paul E. Brockway, Matthew Kuperus Heun, Tânia Sousa

University Faculty Publications and Creative Works

• ICT (information and communication technologies) represented 4% of the world electricity consumption in 2020; 
• Computing devices represented 2% of the world electricity consumption in 2020; 
• In recent scenarios datacentre electricity demand reaches 3% of world electricity in 2030, and more than 4% in 2035

Comprehensive Study On Explainable Artificial Intelligence For Enhanced Decision-Making, Eman Taher, Wessam H. El-Behaidy, Doaa S. Elzanfaly

Computer Science

Artificial Intelligence (AI) models are often criticized for their black-box nature, particularly in high-stakes domains such as finance, healthcare, and business decision-making, where transparency, accountability, and trust are essential. As machine learning advances with more complex architectures, including deep neural networks and ensemble models, the need for explainability becomes increasingly critical. This study focuses on Explainable Artificial Intelligence (XAI) as a key approach to enhance interpretability in classification, regression, and clustering tasks that serve as the foundation of data-driven analytical systems. XAI methods such as SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-agnostic Explanations), and Integrated Gradients provide a means …

Human Cancer Genomes Harbor The Mutational Signature Of Tobacco-Specific Nitrosamines Nnn And Nnk, Michael Korenjak, Nuri Alpay Temiz, Stéphane Keita, Bérénice Chavanel, Claire Renard, Cécilia Sirand, Jiehong Guo, Et Al.

Michigan Tech Publications

BACKGROUND: Tobacco use is linked to multiple cancer types and a quarter of cancer deaths. Tobacco smoke contains numerous mutagenic chemicals such as polycyclic aromatic hydrocarbons (PAH), however, the mutagenicity of many chemicals in tobacco products remains underexplored. The tobacco-specific nitrosamines 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and N'-nitrosonornicotine (NNN), both International Agency for Research on Cancer (IARC) Group 1 carcinogens, form pre-mutagenic pyridyloxobutyl (POB) DNA adducts, yet little is known about the associated genomic mutation landscape(s) in humans. METHODS: We applied bulk and error-corrected next-generation sequencing to a battery of experimental systems comprising mammalian cell lines and animals exposed to NNK or NNN, …

An Evaluation Of The “Police Response To Uncrewed Aircraft Systems Operations” Online Training Program, Anthony Galante, Leila Halawi

Publications

This study evaluates the impact of the “Police Response to Uncrewed Aircraft Systems Operations” online training program of officers from the Daytona Beach Police Department (DBPD). By measuring the effectiveness of the training through pretest and posttest assessments and considering variables such as educational background, length of service, and rank, this research underscores the training’s potential to enhance UAS response capabilities. Employing a self-selection sampling method, the study engaged 82 voluntary participants from the DBPD, revealing significant improvement across all groups in UAS knowledge and confidence levels. Despite limitations, these findings offer compelling evidence of the training’s efficacy and advocate …

Higher-Order Statistical Analysis Of Inter-Arrival Times For Radiation Detector Deadtime Characterization And Paralysis Factor Determination, Abdallah Wazzan, Shoaib Usman, Tayfun Akyurek

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

All real detectors exhibit hybrid behavior that combines both paralyzable and non-paralyzable which requires improved characterization techniques. This study investigates the relationship between detector deadtime parameters and higher-order statistical for inter-arrival time distributions to develop advanced detector characterization. Two comprehensive Monte Carlo simulation approaches were employed using MATLAB: a full radioactive decay curve analysis spanning approximately 4.5 half-lives of Cobalt-60 and Vanadium-52 sources, and a fixed count rate analysis covering practically achievable laboratory conditions (440 to 1,000,000 counts per second). The hybrid deadtime model was implemented with deadtimes ranging from 2.5 to 50 μs for the full simulation and from …

Project Prioritization For Near-Optimal Functionality Risk Reduction In Bridge Networks, David Y. Yang, Anteneh Deriba

Civil and Environmental Engineering Faculty Publications and Presentations

Bridge retrofit prioritization is commonly guided by structural vulnerability, traffic conditions, or indirect consequences following a single bridge failure. However, these metrics often fail to identify retrofit projects that maximally reduce system-level functionality risk, because they do not account for the consequences of joint failures among multiple bridges. This presentation develops a mathematically rigorous, gradient-based approach to bridge retrofit prioritization for achieving a near-optimal reduction in functionality risk. This risk is formulated as the expected increase in total travel time given probabilistic bridge survival or failure under external stressors such as earthquakes. By reinterpreting risk as the evidence term in …

Interpretable Deep Reinforcement Learning For Element-Level Bridge Life-Cycle Optimization, David Y. Yang, Seyyed Amirhossein Moayyedi

Civil and Environmental Engineering Faculty Publications and Presentations

The new Specifications for the National Bridge Inventory (SNBI), in effect from 2022, emphasize the use of element-level condition states (CS) for risk-based bridge management. Instead of a general component rating, element-level condition data use an array of relative CS quantities (i.e., CS proportions) to represent the condition of a bridge. Although this greatly increases the granularity of bridge condition data, it introduces challenges to set up optimal life-cycle policies due to the expanded state space from one single categorical integer to four-dimensional probability arrays. This study proposes a new interpretable reinforcement learning (RL) approach to seek optimal life-cycle policies …

Dimpled Surfaces For Thermal Performance Enhancement In Solar Collectors, Furqan Jamil, Baig, Amna Adil, Aasia Farrukh

Research outputs 2022 to 2026

With escalating environmental concerns, solar energy is a feasible approach to support a sustainable environment, considering the pressing need to move away from fossil fuels. Optimizing solar collector’s efficiency improves energy capture and lowers carbon emissions. One innovative technique is to the surface of solar collectors. The heat transfer is greatly increased by adding such tiny indentations, encouraging turbulence in the incoming working fluid. The article reviews the effect of dimples on the efficiency of various collector applications, including flat plate collector, solar water heaters, solar air collectors, parabolic trough solar collectors, photovoltaic thermal systems, desalination, and many others. The …

Impact Of Capillary Imbibition On Development Of Unconventional Oilfields: A Five-Year Review, Yihang Xiao, You, Yongming He, Han Xu, Lei Wang, Yujie Yuan

Research outputs 2022 to 2026

The imbibition process, which is characterized by the displacement of non-wetting phase by wetting phase in porous media, plays a crucial role in enhancing oil recovery of unconventional reservoirs. However, due to the complex nature of reservoir characteristics and fluid properties, existing research on this phenomenon presents contradictory conclusions and interpretations. This paper aims to fill this knowledge gap by providing a comprehensive review of the fundamental concepts, primary mechanical factors, and critical influences in oil-water imbibition. Primary mechanisms, including capillary, viscous, gravitational, hydrostatic, inertial, capillary back, dead end, and osmotic forces, are analyzed in terms of their key roles …

Pfas Quantification Using Solid Phase Extraction And Low Field Nuclear Magnetic Resonance (Spe-Nmr), Nicholas N.A. Ling, Ghasemi, Ella Shilliday, Masoumeh Zargar, Einar Fridjonsson, Michael L. Johns

Research outputs 2022 to 2026

Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals that are highly resistant to biodegradation. Due to their bioaccumulation, long-term persistence, and adverse human health effects, they have been classified as organic pollutants. The leaching of PFAS into water sources has resulted in their detection in global drinking water supplies. To mitigate adverse health effects and minimise environmental damage, regulations regarding maximum allowable PFAS concentrations in water have been imposed. Traditional PFAS in water quantification methods, such as liquid chromatography–mass spectrometry (LC–MS), gas chromatography–mass spectrometry (GC–MS), and high-performance liquid chromatography (HPLC), have intrinsic limitations that pose challenges in such PFAS analysis. …