Mechanical Engineering Commons^™

Machine Learning Local Potentials For Accelerated Electron-Phonon Interactions Calculations Within The Projector Augmented-Wave Framework, Yi Xia

Mechanical and Materials Engineering Faculty Publications and Presentations

Electron–phonon interactions govern carrier dynamics, transport, and many optical and quantum phenomena in solids, but finite-displacement calculations within the projector augmented-wave (PAW) framework require up to 6N self-consistent supercell calculations for an N-atom system, making them costly for large, low-symmetry, and disordered materials. We introduce MLLocP, a machine learning (ML) strategy that learns the self-consistent local potential (LocP) on real-space grids and supplies its displacement derivatives to the evaluation of all-electron PAW electron–phonon matrix elements. Analysis of the PAW decomposition identifies the local-potential contribution as a natural target for machine learning, while the remaining PAW quantities are retained within the …

Source Page Evaluation Of Local Rag Retrieval For Engineering Safety: Implications For Mechanical And Civil Engineering, Sherif Sorour, Areej El Mufti, Mohamed Nabawy, Anwar Sahbel

Civil Engineering

Industrial safety question answering requires access to the exact source material that supports an answer, not merely a related document. This study evaluates the retrieval stage of a local retrieval-augmented generation (RAG) system at the source page level. Eighteen documents on lockout/tagout, machine guarding, and personal protective equipment were prepared in raw, cleaned, and metadata-enriched forms. Best Matching 25 (BM25), latent semantic analysis (LSA), and reciprocal rank fusion (RRF) hybrid retrieval were tested on 54 questions: 36 answerable, 12 safety-related but unsupported, and 6 outside the covered topics. Raw BM25 achieved the highest mean reciprocal rank (0.492) and Hit@5 (0.722), …

Data From: Physics-Data-Hybrid Modeling And Control For Vtol Aircraft, Samantha Dawn Burton

Browse all Datasets

The skeleton code corresponding to many of the results from the dissertation "Physics-Data-Hybrid Modeling and Control for VTOL Aircraft" By Samantha Dawn Burton.

Survey Data For Decision Support Tool Development With A Focus On Emerging Design Spaces, Tyson Humphrey, Chris Mattson, Michael L. Anderson, Colin C. Engebretsen

ScholarsArchive Data

This dataset contains the survey responses and PASE matrix used to support the derivation of nine development principles for decision support tools in emerging design spaces. The survey captures observations from a multidisciplinary DST development team, while the PASE matrix documents relationships among desired DST outcomes, architecture strategies, effects, and supporting literature.

Retraction Notice To "Hydrogen Recovery, Cleaning, Compression, Storage, Dispensing, Distribution System And End-Uses On The University Campus From Combined Heat, Hydrogen And Power System" [International Journal Of Hydrogen Energy 39 (2014) 647-653], Tarek A. Hamad, Abdulhakim A. Agll, Yousif M. Hamad, Sushrut Bapat, Mathew Thomas, Kevin B. Martin, John W. Sheffield

Engineering Management and Systems Engineering Faculty Research & Creative Works

This article has been retracted: please see Elsevier policy on Article Correction, Retraction and Removal (https://www.elsevier.com/about/policies-and-standards/article-withdrawal). This article has been retracted at the request of the Editor.

Thermal Monitoring Of Solidification In Molded Casting Of Drone Landing Leg, Sadettin Cem Altıparmak, Maher Zayed, Samuel Hawk, Mohamed Baddi, Jesus Degollado, Ahmed Bendaouia, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

This paper presents the design, fabrication, and thermal characterization of an acrylonitrile butadiene styrene (ABS) mold produced by fused deposition modeling (FDM) extrusion-based additive manufacturing used for the wax casting of a drone landing leg. A thermal monitoring framework, consisting of four K-type thermocouples logged at 1 s intervals, was deployed across six casting trials to capture the complete solidification cycle, yielding 84,717 time-stamped measurements. The study focuses on thermal data analysis and materials science interpretation through descriptive statistics, normality diagnostics, inter-trial Kruskal–Wallis tests, phase-duration analysis, rolling-variance monitoring, and inter-channel Pearson correlation. Key findings include a persistent spatial temperature hierarchy …

The Effect Of Transition Metal Oxides On The Performance Of Triboelectric Nanogenerators, Md Arafat Hossain, Abdullah Mohammad Sarjish, Md. Wasikur Rahman, Victoria Padilla, Mohammed Jasim Uddin

Mechanical Engineering Faculty Publications

Triboelectric nanogenerators (TENGs) are a promising energy-harvesting technique that utilizes contact electrification and electrostatic induction to convert mechanical energy into electrical energy. Contact electrification can occur between any two surfaces that experience periodic physical contact and separation, regardless of the material type. Various materials have been investigated for triboelectrification in TENGs for different applications. Although polymers are used in TENGs, various transition metal oxides (TMOs), including binary, ternary, and doped binary/ternary oxides, have also been widely studied as filler materials to improve TENG performance. Introducing TMOs into the polymer matrix enhances the performance by increasing surface charge density and enabling …

Sla Elastic Resin Curing Test Data, Richard Amesimenu, Johnson Nwogu, Haijun Gong

Datasets

3D printing via stereolithography (SLA) enables high-resolution polymer components, but as-printed parts may exhibit incomplete polymerization and reduced mechanical performance. This study investigates the effects of UV post-curing time on SLA-printed elastic photopolymer resin. Specimens were evaluated using Differential Scanning Calorimetry (DSC), uniaxial tensile testing (ASTM D412 Type C), and Durometer Type M hardness testing. Results show that increased post-curing enhances crosslink density, tensile strength, elastic modulus, and hardness, while extended curing may reduce ductility. An optimal post-curing window balancing stiffness and flexibility was identified. Testing datasets include DSC (dsc/), tensile testing (tensile/), and hardness testing (hardness/) results for uncured …

Evolution Of Raman And Photoluminescence Response In Molybdenum Disulfide Thin Films Deposited Via Thermal Atomic Layer Deposition, Wesley Jen, John D. Hues, Icelene Leong, Nolan H. Olaso, Ravindra K. Kanjolia, Mansour Moinpour, Steven M. Hues, Elton Graugnard

Boise State University Publications and Presentations

In order to enable further advances in microelectronics, new processes capable of precisely depositing films are required. This is especially true of processes meant for depositing two-dimensional (2D) transition metal dichalcogenides, such as MoS2, a material of particular interest due to its high potential mobility even at a thickness of a few atoms. In this work, we report industry-compatible processes for depositing crystalline MoS2 with a high degree of precision. We demonstrate the successful conversion of both MoOx and MoSx films deposited via thermal atomic layer deposition using bis(tert-butylimido)bis(dimethylamino)Mo(VI) and H2O or H2S, respectively, into crystalline MoS2 films after an …

Research Priorities For Robust Climate Assessments In The United States, Melissa A. Kenney, Robert E. Kopp, Constantine Samaras, Marina Alberti, Sonia Y. Angell, Jennifer Burney, Colin Cunliff, Elliott T. Gall, J. T. Duffy-Anderson, Multiple Additional Authors

Mechanical and Materials Engineering Faculty Publications and Presentations

Scientific assessments play a critical role in synthesizing evidence to support evidence-based decision-making in many sectors and topics. For climate change, large-scale assessments like the Intergovernmental Panel on Climate Change (IPCC) and the United States (U.S.) National Climate Assessment (NCA) reports help many different users—from national government to local governments, Indigenous Peoples and communities, the private sector, the social sector, and the scientific community itself—navigate the complex field of climate risks, impacts, and integrated solutions. While co-creation with users is essential to developing actionable assessments, this paper lays the groundwork for future processes by identifying many advancing and emerging areas …

Detecting Hazards At Rail Grade Crossings Using Computer Vision And Ai, Silvia Flores-Osuna, Gasser G. Ali, Darren Espinoza, Felix Chavez, Constantine Tarawneh

Mechanical Engineering Faculty Publications

The Federal Railroad Administration reported a total of 2,250 highway-rail incidents during 2024. Continuous efforts by transportation agencies aim to lower these numbers by spreading awareness, improving infrastructure, and installing warning devices. Efforts have been made to enhance safety at these crossings using a variety of innovative technologies; however, there remains a need for a robust and cost-effective system capable of detecting hazards at various crossings under diverse climate and lighting conditions. This paper explores the application of artificial intelligence and deep learning to develop a Convolutional Neural Network (CNN) for image-level multi-class classification of hazards at grade crossings, including …

Optimizing Ball‐Milled Composites For Fast Energy Release Under Shock Compression, Siva Valluri, Edward Dreizin, Dana Dlott

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Microparticle additives containing both Al fuel and oxidizer, fabricated by arrested reactive milling (ARM), could potentially increase the power of energetic materials such as HMX because they contain premixed fuel and oxidizer. Optimizing shock reactivity requires exploring a vast parametric space encompassing composition, milling parameters that govern microstructural features such as intraparticle voids and fuel-oxidizer mixing, and the resulting inhomogeneous shock reactivity of individual particles. To present our approach, we used a model composition 8Al⋅3CuO, previously optimized for combustion. We milled powders and prescreened different prepared batches using differential scanning calorimetry (DSC) to rule out batches with significant pre-reaction. Then …

Effects Of Infill Pattern And Infill Density On The Flexural Properties Of Markforged Onyx, Jonathon Tran, Rachel Shubella, Alexander Hunt

Mechanical and Materials Engineering Faculty Publications and Presentations

Fused Filament Fabrication (FFF) enables the production of lightweight polymer composite components with complex geometries; however, the effects of infill geometry on printing accuracy and mechanical behavior of unreinforced Markforged Onyx remains insufficiently understood. This parametric study investigates the influence of four infill patterns (gyroid, hexagonal, rectangular, and triangular) and three infill densities (30%, 40%, and 50%) on the post-print mass, dimensional accuracy, microstructure and flexural properties of Onyx specimens fabricated using a Markforged Mark Two printer. Experimental measurements were compared with Eiger slicing software predictions, and geometry- and mass-based area moment of inertia correction methods were evaluated. The results …

Percolation-Induced Thermo-Rheological Transitions In Biobased Graphene Nanoplatelet Nanofluids, Abiodun A. Saka, Tobechukwu K. Abor, Anthony C. Okafor, Monday U. Okoronkwo

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Biobased lubricants with thermally responsive rheology are increasingly needed for high-efficiency mechanical systems. Graphene nanoplatelet (GnP) nanofluids in vegetable oils are promising candidates, yet their percolation-driven thermo-rheological transitions remain insufficiently understood. In particular, the coupled concentration–temperature landscape controlling network-mediated flow transitions has not previously been established. Here, surfactant-free GnP nanofluids were prepared in high-oleic soybean oil (HOSO) at concentrations of 0.025–2.15% v/v (ϕ), and their rheological response was mapped between 25°C and 80 °C under steady-shear and oscillatory conditions. Below the percolation threshold (ɸ ≤ 0.1% v/v), the nanofluids exhibit near-Newtonian behavior, moderate reversible viscosity enhancement, and classical Arrhenius-type temperature …

Website: Home, Zhiqu Lu, Likun Zhang, Lei Cao

Gulf Research Program Data Sets

No abstract provided.

Website: Latest Results, Zhiqu Lu, Likun Zhang, Lei Cao

Gulf Research Program Data Sets

No abstract provided.

Website: News And Events, Zhiqu Lu, Likun Zhang, Lei Cao

Gulf Research Program Data Sets

No abstract provided.

Quantification Of Uncertainty Propagation For Transient Heat Transfer In A Hollow Sphere, Rama Subba Reddy Gorla, Lochlan Joyce, Elie John Barbari

Faculty Publications

Uncertainty propagation and transient heat transfer for a hollow sphere are analyzed. The stochastic Biot number, stochastic linear non-dimensional initial conditions, and various boundary conditions are introduced to define uncertainty propagation influencing the temperature distribution throughout the hollow sphere. The resulting uncertainty amplitude was observed to have transient evolution in time. The uncertainty can either increase or decrease depending on the stochastic parameters. Results are presented for the variation in temperature due to uncertainties in the initial conditions and particular boundary conditions.

Sensitivity Study Regarding Abs Formulation On Hybrid Rocket Performance, Ava T. Wilkey, Ryan J. Thibaudeau, Stephen A. Whitmore

Mechanical and Aerospace Engineering Student Publications and Presentations

Acrylonitrile butadiene styrene (ABS) has emerged as a widely adopted solid fuel for hybrid rocket propulsion due to its compatibility with fused deposition modeling and favorable regression characteristics. As a terpolymer, however, ABS monomer mass fractions vary across commercial sources, introducing thermochemical variability that is rarely accounted for in propulsion modeling. This study presents a sensitivity analysis examining how compositional variability among ten commercially available ABS feedstock propagates into hybrid rocket performance predictions. Each source was characterized using bomb calorimetry and Fourier-transform infrared spectroscopy to derive source-specific constituent mass fractions and enthalpies of formation, which were supplied to NASA’s Chemical …

Automated Battery Management Systems For Electric Vehicles, Woonki Na, Yuanyuan Xie

Mineta Transportation Institute

Electric vehicle (EV) safety, efficiency, and lifetime are strongly influenced by how well battery cells are managed, and as EV adoption accelerates, improving battery performance has become critical to vehicle reliability, cost, and public trust. This report conducts a field study on the core technologies and challenges in Battery Management Systems (BMS), focusing on the classification of BMS circuit topologies (design/structures) and systematically reviewing different topologies of active cell balancing circuits (systems that move energy from stronger battery cells to weaker ones). The study provides a detailed analysis of the working principles, advantages, and disadvantages of various active balancing circuit …

Automated Guided Wave Characterization Of Marcelling: In-Plane Fiber Waviness In Thermoplastic Composites, Sourav Banerjee, Ana Tudor, Corey Leydig, Thomas Ferguson, Tally Bovender, Darun Barazanchy, Josh Widosky, Paul Ziehl

Faculty Publications

Thermoplastic composite (TPC) materials often develop in-plane fiber waviness during manufacturing, a defect known as marcelling. Marcelling negatively impacts the strength and overall performance of the composite and are hard to control. While it may appear as a surface imperfection, it can also extend partially through the thickness of the material. Currently, there is no established nondestructive evaluation (NDE) method to reliably detect and quantify marcelling in composites after manufacturing. As marcelling is not a local defect but spans across the surface in in-plane dimensions of the structure, traditional pulse-echo and phased-array ultrasonic NDE are ineffective. Automated multi-directional guided …

A Thickness-Invariant Origami Robot With Integrated Actuation And Multimodel Locomotion, Larry L. Howell, Davis Wing, Nathan Usevitch, Sam Bridge, William Bowler

Faculty Publications

ABSTRACT Origami robots possess the potential for advanced reconfigurability in various contexts and environments. This paper describes and demonstrates the function of an origami robot following a thickness-invariant version of the Yoshimura tessellation. This thickness-invariance allows for the simple folding pattern to be expanded vertically, allowing all robotics components to be housed within the panels of the robot without impacting the functional relationships between folds of the pattern, or requiring other, more complex forms of thickness accommodation. The mathematics and engineering to create such a robot are presented to enable the use of these techniques in creating other origami-based robots. …

Multi-Dimensional Framework For Industry 5.0: Integrating Human-Centric, Sustainability, And Operational Resilience, Tamer Adel Mohamed, Mohamed Boumalkha, Ahmed S.I. Amar

Mechanical Engineering

Industry 5.0 reframes digital transformation as a socio-technical endeavor in which automation serves human capabilities, environmental limits, and operational continuity. Yet, much of the current discourse remains either conceptual—lacking implementable metrics—or technologycentric— treating humans and sustainability as constraints instead of design objectives. This paper develops a multi-dimensional implementation framework that operationalizes the three pillars of Industry 5.0: human-centricity, sustainability, and operational resilience. We synthesize recent advances in collaborative robotics and safety-aware human–robot collaboration, digital twins (including human and supply-chain twins), and AI-driven decision support—augmented by emerging 6G ultra-reliable low-latency networking capabilities such as reconfigurable intelligent surfaces, terahertz communications, multi-access edge …

Review: Mechanics Of Mycelium Materials, Md Anwar Sadat Anik, Ehsanul Azim, Gerardo I. Zapata, Mohammad R. Islam

Mechanical Engineering Faculty Publications

The biological growth of fungal root structure, called mycelium, can be engineered to develop innovative fibrous and biocomposite materials. Mycelium materials have potential as sustainable alternatives to petroleum-derived materials for load-bearing applications. To realize this potential, there is an increasing effort dedicated to understanding the mechanics of mycelium materials. This work presents a systematic review of our current understanding of the mechanics of mycelium materials with a specific focus on structure–property relationships. The review first explores how the mycelium’s fiber network structure varies depending on whether it is grown as a two-dimensional (2D) membrane, a cellular foam, or as a …

0905: American Car And Foundry (Acf) Collection, 1916-2019, Marshall University Special Collections

Guides to Manuscript Collections

The collection includes only documents that were found in the plant in 2021. These primarily consist of files on capital projects from the 1970s through the 1990s. Also included are notebooks with job descriptions and classifications; ledger books containing maintenance purchase orders; quality assurance manuals; visitors register books from 1973-2019; drawings of plant machinery and operations; slides and photographs; and miscellaneous materials.

The forerunner to ACF was Ensign Manufacturing Company, founded in 1871 at Huntington, West Virginia, by William H. Barnum and Ely Ensign, both from prominent families of Lime Rock, Connecticut. It was chartered (incorporated) on November 1, 1872, …

Spatial Structure And Energy Content Of Wakes Behind Single And Arrayed Undulated Cylinders, Taiga Naomi Drucker-Boisvert, OndˇRej FerˇCák, Jérémie Auzoux, Sarah E. Smith, Zein Sadek, Rowan Moore, Christain T. Murphy, Trevor Dunt, Jennifer A. Franck, Raul Bayoan Cal

Mechanical and Materials Engineering Faculty Publications and Presentations

Biologically inspired undulated cylinder geometries significantly influence wake structure and vortex-induced vibrations in turbulent flows, yet the underlying mechanisms are not fully understood. It is further unknown how these influences extend to multi-cylinder arrays, where interacting wakes accumulate and mix. This study examines the wake characteristics of an undulated cylinder and a smooth elliptic cylinder in single- and multi-cylinder array configurations, using particle image velocimetry and proper orthogonal decomposition (POD). Relative to the smooth elliptic cylinder, the undulated geometry induces pronounced spanwise-axial variability, characterized by enhanced near-wake mean momentum and weak far-wake signatures, consistent with reduced turbulent kinetic energy. While …

Water-Heated Maisotsenko Cycle Humidifiers: A Component-Level Study On Evaporation And Exit Brine Concentration, Omar Abdulfattah Farag Omar A. Farag

Renewable Mechanical Energy

Maisotsenko-cycle (M-cycle) Heat-and-Mass Exchangers (HMXs) are usually assessed as part of complete cooling or desalination systems, which makes the behaviour of the humidifier itself difficult to distinguish. Here, a validated model is used to examine a water-heated M-cycle humidifier as an independent component. Inlet saline-water temperature, ambient temperature, Relative Humidity (RH), and water-to-air Mass-flow Ratio (MR) were varied, and performance was described by Water Evaporation Rate (WER), outlet-air specific humidity, and outlet brine salinity. Water heating and a larger MR produced the strongest increase in moisture addition because they maintained a warmer water film and greater transfer potential. At fixed …

A Transfer-Learning And Continuous Optimization-Based Framework For Predicting Heat Treatment-Dependent Mechanical Properties Of Ded-Processed Low-Alloy Steels, Atiqur Rahman, Sung Heng Wu, Ranjit Joy, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Directed energy deposition (DED) of low-alloy steels involves strongly coupled effects among alloy composition, solidification behavior, and post-deposition heat treatment, making mechanical property prediction difficult when target-domain data are limited. This study develops a transfer-learning and continuous optimization framework for predicting heat treatment-dependent yield strength (YS), ultimate tensile strength (UTS), hardness (HV), and as-solidified phase fractions of martensite, ferrite, and austenite in DED-processed low-alloy steels. A CALPHAD-based dataset was generated for 125 low-alloy steel compositions. A multilayer perceptron (MLP) surrogate was first trained as a baseline model, then fine-tuned through transfer learning and progressively updated as staged continuous optimization; the …

Decarbonizing The C3 Splitter: Performance Optimization And Environmental Impact Of Mvr Integration, Dalia A. Ali Associate Prof.

Chemical Engineering

Due to the relatively low volatility (α) of propane and propene components, their separation is one of the most energy-intensive processes in the petrochemical industry. This study evaluates the technical, environmental and thermodynamic performance of a mechanical vapor recompression (MVR) heat pump integrated into a C3 splitter, compared to a conventional steam-heated distillation column. A sensitivity study was conducted using Aspen Plus software at different pressures, reflux ratios (RR) and at turndown operations. According to the results, the MVR system uses a compressor to raise the overhead vapor pressure to 38.7 bar to operate the heater without the need for …

Emergent De Sitter Expansion And Closed Topology From The Cosmic Fabric Model As An Open Thermodynamic System: Resolving The Negative Bulk Modulus Paradox, T G. Tenev, C B. Ward, T F. Tenev, M F. Horstemeyer

Faculty Publications and Presentations

The Cosmic Fabric Model establishes a continuum-mechanics isomorphism to General Relativity by representing physical space as an elastic three-dimensional hyperplate embedded in a four-dimensional spatial bulk. Reproducing vacuum kinematics requires a vanishing P-wave modulus, which in turn implies a negative bulk modulus—an apparent thermodynamic instability in a closed system. This paradox is resolved by recasting the framework as an open system: the instability is not pathological but instead drives cosmic expansion. In this interpretation, the observable universe is a lower-energy solid formed through continuous solidification from a higher-dimensional precursor fluid. Using multiplicative kinematics from finite-growth mechanics, the model shows that …