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Articles 931 - 960 of 74979

Full-Text Articles in Engineering

Influence Of Superhydrophobic Surface Microstructure On Transient Jet Impingement Cooling, D. Jacob Butterfield, Brian D. Iverson, Daniel Maynes, Julie Crockett Feb 2026

Influence Of Superhydrophobic Surface Microstructure On Transient Jet Impingement Cooling, D. Jacob Butterfield, Brian D. Iverson, Daniel Maynes, Julie Crockett

Faculty Publications

Water jet impingement is an effective method of rapidly cooling a surface, but heat transfer from the surface is highly dependent on the surface condition and properties. Here, the impact of a superhydrophobic (SH) surface on heat transfer to an impinging, axisymmetric, room-temperature water jet with Re=6 x 103to 18 x 103 is explored. SH surfaces are created by etching thin silicon wafers to form different micropatterns (posts or holes). Surfaces are heated to between 200 and 320°C, and the local surface temperature is measured with a thermal camera. The time resolved heat transfer from the surface and …

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Predicting Water Quality Using Quantum Machine Learning: The Case Of The Umgeni Catchment (U20a) Study Region, Jamal Al-Karaki, Muhammad Al Zafar Khan, Amjad Gawanmeh, Marwan Omar Feb 2026

Predicting Water Quality Using Quantum Machine Learning: The Case Of The Umgeni Catchment (U20a) Study Region, Jamal Al-Karaki, Muhammad Al Zafar Khan, Amjad Gawanmeh, Marwan Omar

All Works

The assessment of water quality has become increasingly vital for maintaining the ecological balance and ensuring public safety across global water systems. This study examines the application of Quantum Machine Learning (QML) techniques in a real-world setting to predict water quality in the U20A region of the Umgeni Catchment, Durban, South Africa. We implemented the Quantum Support Vector Classifier (QSVC) and Quantum Neural Network (QNN) on a field-collected dataset. Our results demonstrate that the QSVC is more practical to implement and yields superior performance, achieving 75 % accuracy with polynomial and radial basis function kernels. In contrast, the QNN encountered …

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A Dynamic Inspection And Replacement Policy For Systems Subject To Degradation And Periodic Shocks, Jiawen Hu, Qiuzhuang Sun Feb 2026

A Dynamic Inspection And Replacement Policy For Systems Subject To Degradation And Periodic Shocks, Jiawen Hu, Qiuzhuang Sun

Research Collection College of Integrative Studies

Inspection is widely adopted to improve the maintenance efficiency. Most works predetermine a periodic inspection scheme and focus on optimizing the replacement threshold. However, it is reasonable to inspect less frequently when the degradation level of the system is low and to perform inspections more frequently as the degradation level increases. This work investigates a dynamic inspection and replacement policy for systems subject to regular degradation and periodic shocks. The regular degradation of the system is modeled as a Wiener process. Meanwhile, a periodic arrived shock will incur a random amount increment to the degradation, which is assumed to satisfy …

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Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng Feb 2026

Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

We consider a dynamic pricing problem in network revenue management in which customer behavior is predicted by a choice model, that is, the multinomial logit model. The problem, even in the static setting (i.e., customer demand remains unchanged over time), is highly nonconcave in prices. Existing studies mostly rely on the observation that the objective function is concave in terms of purchasing probabilities, implying that the static pricing problem with linear constraints on purchasing probabilities can be efficiently solved. However, this approach is limited in handling constraints on prices, noting that such constraints could be highly relevant in some real …

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Enhancing Solar Energy Harvesting: A Comprehensive Study On Photothermal Conversion In Tin/Mxene-Mof Hybrid Nanofluids, Seyedeh Zahra Haeri, Ali Dashan, Javad Farahbakhsh, Mehdi Khiadani, Bahram Ramezanzadeh, Masoumeh Zargar Feb 2026

Enhancing Solar Energy Harvesting: A Comprehensive Study On Photothermal Conversion In Tin/Mxene-Mof Hybrid Nanofluids, Seyedeh Zahra Haeri, Ali Dashan, Javad Farahbakhsh, Mehdi Khiadani, Bahram Ramezanzadeh, Masoumeh Zargar

Research outputs 2022 to 2026

The growing global energy demand highlights the need for renewable sources like solar energy as a key component of sustainable systems. This study focuses on developing two hybrid nanofluids, TiNML125 and MXML125, for optimizing solar energy harvesting. These nanofluids were synthesized via a solvothermal process, combining NH₂-MIL-125 with plasmonic nanoparticles, titanium nitride (TiN) and MXene (MX). Their thermal conductivity, stability, optical properties, and photothermal efficiency were analyzed. Results showed both nanofluids significantly outperformed single-component ML125, with TiNML125 improving absorption by 40 % and enhancing thermal conductivity. MXML125 demonstrated superior long-term stability, with a 25 % lower zeta potential reduction over …

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Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau Feb 2026

Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. With the increasing need in solving large-scale problems in real-world applications, solving those large problems with fewer qubits and fewer gates becomes essential, so that we reduce the simulation difficulty and mitigate the effect of noise in real quantum hardware. In this study, we applied the Light Cone Cancellation (LCC) method to reduce the number of qubits and gates required in a two-local ansatz. LCC …

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In-Situ Carbon Mineralization Through Injection Of Co2-Saturated Water Into Basalts: Effects On Pore Network, Seyi Philemon Akanji, Lionel Esteban, Ausama Giwelli, Joel Sarout, Alireza Keshavarz, Stefan Iglauer Feb 2026

In-Situ Carbon Mineralization Through Injection Of Co2-Saturated Water Into Basalts: Effects On Pore Network, Seyi Philemon Akanji, Lionel Esteban, Ausama Giwelli, Joel Sarout, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Carbon capture and storage (CCS) offers the potential to remove and safely store significant quantities of carbon dioxide from the atmosphere, thereby limiting global warming. Conventional geological storage involves injecting CO2, in gaseous or supercritical state, into porous rock reservoirs, relying on geological top seals, capillary forces and/or dissolution in groundwater as the primary “locking-in” processes. An alternative method injects CO2-saturated water into mafic rocks (basalts), chemically inducing in-situ mineralization of CO2 to form solid carbonate minerals. This mechanism offers the lowest risk of carbon returning to the atmosphere. This review synthesizes field and laboratory studies on CO2 mineralization in …

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Treatment And Valorization Of Spent Caustic Brine: A Critical Review With Emphasis On Membrane Technologies, Rouba D. Al Bostami, Amani Al Othman, Muhammad Tawalbeh, Kerry N. Mcphedran, Mohammad Mahdi A. Shirazi Feb 2026

Treatment And Valorization Of Spent Caustic Brine: A Critical Review With Emphasis On Membrane Technologies, Rouba D. Al Bostami, Amani Al Othman, Muhammad Tawalbeh, Kerry N. Mcphedran, Mohammad Mahdi A. Shirazi

Research outputs 2022 to 2026

Spent caustic brine (SCB) is a hazardous yet resource-rich industrial waste, primarily composed of sodium hydroxide, water, and contaminants such as sulfides, phenols, organic compounds, heavy metals, and valuable minerals. Originating from industries such as oil and gas, metal finishing, and food processing, SCB poses high pH ('11), high total dissolved solids (up to 58,000 ppm), heavy metal content, and elevated chemical oxygen demand (COD). In this work, treatment and valorization methods for SCB are categorized into three groups: traditional techniques without caustic or water recovery, conventional techniques with limited recovery, and membrane technologies offering effective caustic and water recovery …

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Mechanical Properties And Reproducibility Of One-Part Ambient-Cured Slag And Fly Ash-Based Geopolymer Concrete, Daro Sun, Jessey Lee, Alireza Mohyeddin, Janitha Migunthanna Feb 2026

Mechanical Properties And Reproducibility Of One-Part Ambient-Cured Slag And Fly Ash-Based Geopolymer Concrete, Daro Sun, Jessey Lee, Alireza Mohyeddin, Janitha Migunthanna

Research outputs 2022 to 2026

The cement industry is a major source of anthropogenic CO2 emissions due to its energy-intensive production process and calcination of limestone. Producing one ton of cement emits approximately one ton of CO2, and cement accounts for about 5% to 8% of global CO2 emissions. In this context, cement-less one-part (“just-add-water”) ambient-cured geopolymer concrete (GPC) has gained attention due to its environmental friendliness and practicality for large-scale cast-in-situ construction. However, field adoption remains limited, mainly due to the scarcity of data on mechanical properties and durability, as well as the lack of widely accepted standards and specifications. This paper is part …

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Mining Waste As A Resource In Construction: Applications, Benefits, And Challenges, Chathurika Dassanayake, Nuha S. Mashaan, Daniel Oguntayo Feb 2026

Mining Waste As A Resource In Construction: Applications, Benefits, And Challenges, Chathurika Dassanayake, Nuha S. Mashaan, Daniel Oguntayo

Research outputs 2022 to 2026

Mining activities generate vast quantities of waste each year, including mine tailings, bauxite residue, waste rock, and various metallurgical slags. Although these materials have traditionally been regarded as environmental liabilities, many possess physical and chemical properties that make them promising candidates for use in construction. This review synthesizes recent research on the utilization of major mining waste streams, with particular emphasis on pavement applications and other construction materials. The findings indicate that bauxite residue exhibits both pozzolanic and filler characteristics, demonstrating potential in asphalt mastics, asphalt mixtures, and other construction products. Nonetheless, its widespread adoption is constrained by issues such …

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The Impact Of A Structured Training Program On The Depth Perception Of Ab Initio Drone Pilots, John Murray, Steven Richardson, Keith Joiner, Graham Wild Feb 2026

The Impact Of A Structured Training Program On The Depth Perception Of Ab Initio Drone Pilots, John Murray, Steven Richardson, Keith Joiner, Graham Wild

Research outputs 2022 to 2026

Highlights: What are the main findings? First empirical assessment of depth-perception improvement from an official RPAS training program. Demonstrates measurable perceptual-skill gains despite no explicit syllabus objective for depth perception. What are the implications of the main findings? Conducted in authentic operational settings under regulated conditions, ensuring strong external validity. Establishes a validated baseline for future comparative and longitudinal studies on perceptual training effectiveness. Flying remotely requires accurate perception of the environment to ensure safe operation. While remotely piloted aircraft (RPA) bring unique opportunities, they also present new challenges for the pilot, including exercising accurate depth perception. The impact of …

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Optimization Of Pressure And Flow Rate For Co2 Microbubble Generation Using Porous Ceramic Membrane: Insights For Co₂ Geological Storage, Malek Jalilian, Tawanda Matamba, David Tang, Alireza Keshavarz, Stefan Iglauer Feb 2026

Optimization Of Pressure And Flow Rate For Co2 Microbubble Generation Using Porous Ceramic Membrane: Insights For Co₂ Geological Storage, Malek Jalilian, Tawanda Matamba, David Tang, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

CO2 microbubbles show significant potential in carbon capture and storage (CCS) through enhancing CO2 dissolution and improving the residual trapping mechanism. To take full advantage of microbubbles, maximizing their generation by selecting the optimal operational conditions, including injection pressure and flow rate, is essential. In this study, we examined a wide range of experimental conditions to quantitatively evaluate the potential of a porous ceramic membrane for producing CO2 microbubbles in a chemical-free manner. In particular, the effects of injection pressure (5.0–10.0 MPa) and CO2 flow rate (0.25–5 mL/min) on mean bubble diameter (DMB) and microbubble yield efficiency (YMB) were systematically …

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Fiber-Reinforced Foam Concrete Using Quarry Micro Fines And Sugarcane Bagasse Ash: A Box–Behnken Design Optimization And Performance Assessment, Ravindaran Thangavel, Sanjay Kumar Shukla, Mini K. Madhavan Feb 2026

Fiber-Reinforced Foam Concrete Using Quarry Micro Fines And Sugarcane Bagasse Ash: A Box–Behnken Design Optimization And Performance Assessment, Ravindaran Thangavel, Sanjay Kumar Shukla, Mini K. Madhavan

Research outputs 2022 to 2026

Foam concrete is well-appreciated for its thermal and acoustic benefits and is prepared by introducing foam into cement slurry/mortar. The current research examines the feasibility of Quarry Micro Fines (QMF), a waste generated from the quarries during sand manufacturing, as a substitute for fine aggregate in the preparation of foam concrete. During the preparation of concrete, a portion of cement is replaced with sugarcane bagasse ash (SCBA), while polypropylene (PP) fibers are added to improve the shrinkage resistance and tensile strength of the resulting concrete. A three-factor, three-level Box–Behnken Design (BBD) in Response Surface Methodology (RSM) was used to optimize …

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Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson Jan 2026

Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson

Psychology Faculty Publication Series

Humanity is evolving its consciousness at individual and collective levels.  Given these seemingly tumultuous times, as of this writing (January 2026), to make such a statement may sound like a strange thing to say.  However, I suggest that if you are alive today and if you are reading these words, these are the very times for which you were born—to assist Humanity as it evolves its consciousness with your unique gifts, whatever they may be.  That is, this period of our individual and collective human being-ness may be characterized as an unfolding period of weeding out and alignment with the …

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Assessment Of Winter Maintenance Performance Objectives Using Maintenance Decision Support System, Curtis L. Walker, Mark R. Anderson, Aemal Khattak, Thomas Kauzlarich, Abdul Farhan Jan 2026

Assessment Of Winter Maintenance Performance Objectives Using Maintenance Decision Support System, Curtis L. Walker, Mark R. Anderson, Aemal Khattak, Thomas Kauzlarich, Abdul Farhan

Nebraska Department of Transportation: Research Reports

It is important for transportation agencies to assess their winter maintenance operations performance to identify areas for improvement and/or resource investment to maintain optimal levels of service, mobility, and safety. This study explores nine winter snowstorms in Nebraska during the 2023-2024 winter season across 20 road segments, 12 of which were along the Interstate-80 corridor. Datasets explored include meteorological information, traffic mobility insights, winter maintenance operations activities, and road conditions before, during, and after the periods of accumulating snowfall. Statistical analyses explored correlations and quantitative relationships among these datasets, while visual dashboards were developed to promote more qualitative considerations of …

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The Risc-V Fpga (Rvfpga) Teaching Package, Daniel Chaver, Sarah Harris, Luis Pinuel, Olof Kindgren, Zubair Kakakhel, Chris Owen, Roy Kravitz, Jose I. Gomez-Perez, Fernando Castro, Katzalin Olcoz, Multiple Additional Authors Jan 2026

The Risc-V Fpga (Rvfpga) Teaching Package, Daniel Chaver, Sarah Harris, Luis Pinuel, Olof Kindgren, Zubair Kakakhel, Chris Owen, Roy Kravitz, Jose I. Gomez-Perez, Fernando Castro, Katzalin Olcoz, Multiple Additional Authors

Electrical and Computer Engineering Faculty Publications and Presentations

RISC-V is a free and open-standard ISA based on RISC principles, allowing anyone to design, manufacture, and sell RISC-V chips and software. Its flexibility and growing ecosystem have made it popular in research, education, and industry, increasing the need for educational materials. This paper provides an in-depth description of the RVfpga course, which offers a solid introduction to computer architecture using the RISC-V instruction set and FPGA technology. It focuses on providing hands-on experience with real-world RISC-V cores, the VeeR EH1 and EL2 cores, developed by Western Digital and hosted by ChipsAlliance. The course targets students and educators in computing-related …

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An Improved United-Atom Potential For Molecular Dynamics Simulation Of Saturated Properties Of N-Alkanes, Wazih Tausif, Jordan Hartfield, Alex George, Zhi Liang Jan 2026

An Improved United-Atom Potential For Molecular Dynamics Simulation Of Saturated Properties Of N-Alkanes, Wazih Tausif, Jordan Hartfield, Alex George, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Multiple united-atom (UA) potential models have been developed in the literature to reproduce experimental saturated properties of n-alkanes using Monte Carlo simulations. When these UA potentials are employed in molecular dynamics (MD) simulations, MD simulations often give relatively poor predictions of saturated properties of n-alkanes, particularly the saturated vapor densities, due to the challenges in accurate calculation of long-range intermolecular forces beyond the cutoff distance in an inhomogeneous system. In this work, a new set of UA Lennard-Jones (LJ) interaction parameters for n-alkanes is proposed to reproduce the saturated properties, including saturated liquid and vapor densities (ρf and ρ …

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The Risc-V Fpga (Rvfpga) Teaching Package, Daniel Chaver, Sarah Harris, Luis Pinuel, Olof Kindgren, Zubair Kakakhel, Chris Owen, Jose I. Gomez-Perez, Fernando Castro, Katzalin Olcoz, Julio Villalba-Moreno, Alexander Grinshpun, Freddy Gabbay, Luke Seed, Rui Duarte, Manuel Lopez, Oscar Alonso, Robert Owen Jan 2026

The Risc-V Fpga (Rvfpga) Teaching Package, Daniel Chaver, Sarah Harris, Luis Pinuel, Olof Kindgren, Zubair Kakakhel, Chris Owen, Jose I. Gomez-Perez, Fernando Castro, Katzalin Olcoz, Julio Villalba-Moreno, Alexander Grinshpun, Freddy Gabbay, Luke Seed, Rui Duarte, Manuel Lopez, Oscar Alonso, Robert Owen

Electrical & Computer Engineering Faculty Research

RISC-V is a free and open-standard ISA based on RISC principles, allowing anyone to design, manufacture, and sell RISC-V chips and software. Its flexibility and growing ecosystem have made it popular in research, education, and industry, increasing the need for educational materials. This paper provides an in-depth description of the RVfpga course, which offers a solid introduction to computer architecture using the RISC-V instruction set and FPGA technology. It focuses on providing hands-on experience with real-world RISC-V cores, the VeeR EH1 and EL2 cores, developed by Western Digital and hosted by ChipsAlliance. The course targets students and educators in computing-related …

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A Closer Look At Shielding Gas In Laser Powder Bed Fusion: A Review, Tasrif Ul Anwar, Nadia Kouraytem Jan 2026

A Closer Look At Shielding Gas In Laser Powder Bed Fusion: A Review, Tasrif Ul Anwar, Nadia Kouraytem

Mechanical and Aerospace Engineering Student Publications and Presentations

The ongoing advancement of additive manufacturing (AM) techniques, particularly in laser powder bed fusion (LPBF), is effectively bridging the knowledge gap between AM and conventional manufacturing methods. At present, most of the research is focused on optimizing key process parameters such as laser power, laser speed, hatch spacing, layer thickness, scan pattern, powder size distribution, and so on. These studies help improve the part density and refine the microstructure of LPBF components, thereby enhancing the mechanical properties. Despite these advancements, an area in LPBF that is receiving comparatively less attention is the shielding gas: its flow during the printing process, …

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Recent Advances Toward Damage-Tolerant 3d-Printed Titanium Alloys: Alloy Design Perspective, Saeid Alipour, Arezoo Emdadi, Ju Li Jan 2026

Recent Advances Toward Damage-Tolerant 3d-Printed Titanium Alloys: Alloy Design Perspective, Saeid Alipour, Arezoo Emdadi, Ju Li

Materials Science and Engineering Faculty Research & Creative Works

Twenty-year uninterrupted endeavor of titanium alloys printing has opened up a new paradigm in metal additive manufacturing (AM) to fabricate engineering components with required strength–density–corrosion combinations. Despite the remarkable advances in titanium AM, controlling the grain structure to print the parts with engineered microstructures, tailored mechanical properties, and minimum anomalies remains challenging. Numerous approaches have been implemented to address this challenge, such as printing parameter control, post-AM heat treatments, and thermomechanical processing. In addition to the aforementioned conventional approaches, novel techniques have been proposed that require employing hybrid manufacturing or developing the printer itself. One of the novel pathways in …

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In-Situ Eval: A Modular Framework For Custom And Real-Time Rag Benchmarking, Ritvik Garimella, Kaushik Roy, Chathurangi Shyalika, Amit Sheth Jan 2026

In-Situ Eval: A Modular Framework For Custom And Real-Time Rag Benchmarking, Ritvik Garimella, Kaushik Roy, Chathurangi Shyalika, Amit Sheth

Publications

Retrieval-Augmented Generation (RAG) has become the standard approach for integrating domain knowledge into Large Language Models (LLMs). However, fair comparison of RAG pipelines remains difficult: data preparation is often ad hoc, subsampling methods are opaque, parameters vary across implementations, and evaluation is fragmented. We present In-Situ Eval, a unified and reproducible framework that operationalizes the full RAG pipeline with configurable subsampling strategies and both RAG-specific and generic evaluation metrics. The platform supports two execution modes: an offline Dataset mode for evaluating precomputed outputs, and a live Retrieval mode for benchmarking RAG variants with state-of-the-art LLMs. Users can flexibly select datasets, …

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Hybrid Quantum-Classical Optimization Of The Resource Scheduling Problem, Tyler Christeson, Md Habib Ullah, Ali Arabnya, Amin Khodaei, Rui Fan Jan 2026

Hybrid Quantum-Classical Optimization Of The Resource Scheduling Problem, Tyler Christeson, Md Habib Ullah, Ali Arabnya, Amin Khodaei, Rui Fan

Electrical and Computer Engineering: Faculty Scholarship

Resource scheduling is critical in many industries, especially in power systems where the Unit Commitment (UC) problem determines the on/off status and output levels of generators under physical and economic constraints. Traditional exact methods, such as Branch-and-Bound, Branch-and-Cut, dynamic programming and mixed-integer linear programming (MILP), remain the backbone of UC solution techniques, but they often rely on linear approximations or exhaustive search, leading to high computational burdens as system size grows. Metaheuristic approaches, such as genetic algorithms, particle swarm optimization, and other evolutionary methods, have been explored to mitigate this complexity; however, they typically lack optimality guarantees, exhibit sensitivity to …

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Photocrosslinkable Morin-Loaded Gelatin-G-Gma Composite Hydrogel For Accelerating Burn Wound Healing: In Vitro And In Vivo Assessments, Samar A. Salim Jan 2026

Photocrosslinkable Morin-Loaded Gelatin-G-Gma Composite Hydrogel For Accelerating Burn Wound Healing: In Vitro And In Vivo Assessments, Samar A. Salim

Nanotechnology Research Centre

The impaired skin regeneration, scarring, and delayed healing make the management of burn injuries a challenging task. We designed a photopolymerized hydrogel of gelatin-grafted with glycidyl methacrylate (GMA) for burn management applications. Hydrogel was incorporated with Morin, a plant flavonoid that was originally isolated from the Moraceae family, with known anti-antioxidant and antifibrotic activities. The physicochemical characterization of the resultant hydrogel, including its gelation time and swelling properties, was conducted. The characterization results indicated that the hydrogel development was successful, exhibiting well-established porosity, as evidenced by the SEM images. In vivo evaluation demonstrated improved tissue regeneration characterized by enhanced collagen …

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Aerodynamic Forces In Water And Air With Changing Wing Geometry, Michael Anthony, Carson Running Jan 2026

Aerodynamic Forces In Water And Air With Changing Wing Geometry, Michael Anthony, Carson Running

Mechanical Engineering Student Publications

This paper is an exploration of how the effects of wing geometry on the lift and drag in both air and water. The purpose of these findings is to understand if there exists a foil geometry that would offer the best lift-drag ratio in both fluids. To find the answer, chamber, chord, span, and aspect ratio were adjusted in an attempt to maximize lift and drag. The calculations were done through Matlab and the results are shown through Matlab figures. The Matlab code created shows that symmetric airfoils have the greatest lift to drag ratios due to their lower drag …

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V-22 Osprey Proprotor, Derek Krieger, Carson Running Jan 2026

V-22 Osprey Proprotor, Derek Krieger, Carson Running

Mechanical Engineering Student Publications

This paper covers an aerodynamic analysis of the Boeing Bell V-22 Osprey proprotor blade by utilizing thin-airfoil theory (TAT) and lifting-line theory (LLT). The primary focus is how the coefficient of lift and induced drag respond to changes in the angle of attack of the proprotor blades. The proprotor blade is modeled as a finite wing based on the NACA 63-212 airfoil. The wing has a geometric twist of -35 degrees from root to tip. The theories used to evaluate the blade design are limited by the assumption of incompressible, inviscid flow. The results of the analysis indicate that lift …

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Aerodynamic Analysis Of The Constrained Naca 8412 Airfoil For Formula Sae Application Using Thin-Airfoil And Lifting-Line Theories, Trevor Fried, Carson Running Jan 2026

Aerodynamic Analysis Of The Constrained Naca 8412 Airfoil For Formula Sae Application Using Thin-Airfoil And Lifting-Line Theories, Trevor Fried, Carson Running

Mechanical Engineering Student Publications

This project applies Thin-Airfoil Theory (TAT) and Lifting-Line Theory (LLT) to evaluate the aerodynamic characteristics of the inverted NACA 8412 airfoil as a single-element rear wing for Formula SAE. The 2D analysis was validated against XFOIL (Re = 480,000), confirming a zero- lift angle of αL=0 = -8.326° and establishing a viscous limit of cl,max ≈ 1.90 at αstall ≈ 13.0°. The 3D LLT model quantified the induced drag (CD,i), demonstrating that the wing's low aspect ratio and rectangular planform reduce efficiency compared to elliptic loading, with the induced drag being the dominant total drag component at high angles of …

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Transient Grating Spectroscopy Nondestructively Characterizes The Mechanics Of Rubbery Polymers And Soft Gels, Christopher W. Barney, Angela A. Pitenis, Bolin Liao, Allison L. Chau Jan 2026

Transient Grating Spectroscopy Nondestructively Characterizes The Mechanics Of Rubbery Polymers And Soft Gels, Christopher W. Barney, Angela A. Pitenis, Bolin Liao, Allison L. Chau

University Research

Designing efficient mechanisms for moving mechanical assemblies requires the use of materials with well-defined mechanical responses. Appropriate methods are needed to characterize these mechanical responses. Mechanical characterization of soft materials is critical in the high strain rate regime where intuition from manipulating a material at low rates fails to translate to applications including impact protection, tire traction, and sound damping. Here, transient grating spectroscopy (TGS) is used to measure wave propagation for soft elastomers and hydrogels. TGS is a non-destructive and non-contact optoacoustic technique that enables high strain rate measurements of the bulk modulus, a measure of a material's resistance …

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Reinforced Scan: A Reinforcement Learning Enabled Optimal Laser Scan Path Planning In Laser Powder Bed Fusion Additive Manufacturing, Chaoran Dou, Jihoon Chung, Raghav Gnanasambandam, Yuhao Wu, Jianzhi Li, Zhenyu James Kong Jan 2026

Reinforced Scan: A Reinforcement Learning Enabled Optimal Laser Scan Path Planning In Laser Powder Bed Fusion Additive Manufacturing, Chaoran Dou, Jihoon Chung, Raghav Gnanasambandam, Yuhao Wu, Jianzhi Li, Zhenyu James Kong

Manufacturing & Industrial Engineering Faculty Publications

Additive Manufacturing is an innovative technology that fabricates parts layer by layer. However, in Laser Powder Bed Fusion (LPBF), printed metal parts often exhibit residual stresses, deformations, and other defects due to non-uniform temperature distribution during the printing process. To mitigate these issues, an optimized scan sequence within each layer can improve thermal uniformity. Traditional optimization methods, which rely on domain knowledge and employ trial-and-error or heuristic approaches, often fail to achieve optimal solutions due to the complex nature of the problem. One major challenge in improving scan strategies lies in the vast search space required to optimize the scan …

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The Role Of Side-Chain Length And Counterion Mediation On Dimerization Of Rigid Sphere-Rod Amphiphiles: A Molecular Dynamics Investigation, Mesfin Tsige, Tianbo Liu, Javad Tamnanloo, Abdol Hadi Mokarizadeh Jan 2026

The Role Of Side-Chain Length And Counterion Mediation On Dimerization Of Rigid Sphere-Rod Amphiphiles: A Molecular Dynamics Investigation, Mesfin Tsige, Tianbo Liu, Javad Tamnanloo, Abdol Hadi Mokarizadeh

University Research

Rigid sphere-rod amphiphiles (RSRAs) comprising a Keggin polyoxometalate (POM) headgroup and an oligofluorene rod with different side chain lengths (C2, C6, C10, C16, are the number of carbon atoms per side chain) were probed by all-atom molecular dynamics in THF/water mixtures (15 and 33 vol % THF) with tetrabutylammonium (TBA+) counterions to elucidate the molecular origins of dimerization. Despite strong Keggin-Keggin electrostatic repulsion, stable dimers form through a synergy of (i) hydrophobic rod/side-chain interaction that strengthens with side-chain length and (ii) counterion-mediated attraction by TBA+, which localizes near the Keggins to screen electrostatic repulsion. Packing evolves from near-parallel rods for …

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Spline-Based Factor-Graph Optimization With High-Grade Inertial Sensors, Kyle Leland, Clark N. Taylor, David Woodburn, Randal Beard Jan 2026

Spline-Based Factor-Graph Optimization With High-Grade Inertial Sensors, Kyle Leland, Clark N. Taylor, David Woodburn, Randal Beard

Faculty Publications

Inertial measurement units (IMUs) are central to global navigation satellite system-based and alternative navigation solutions. This paper combines three lines of research to explore a novel methodology for using inertial sensors: factor graphs, spline-based trajectory estimation, and high-grade inertial sensing. Spline-based factor-graph trajectory estimation is increasingly used in the literature, especially for asynchronous or high-rate sensors. However, prior models neglect the impact of the Earth’s rotation, which is significant for high-grade IMUs. We extend spline-based factor graphs to incorporate accelerometer and gyroscope models that account for the Earth’s rotation. We apply this approach to simulated data from high-grade inertial sensors …

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