Engineering Commons^™

Effect Of Asphalt Content On Low-Field Nuclear Magnetic Resonance Spectrum And Aging Evaluation Of Asphalt Mixtures, Chenyue Mei, Wei Wang, Junan Shen, Jinkun Sun, Yilin Xu, Jia Che

Civil Engineering & Construction: Faculty Publications

The aging of asphalt mixtures has a significant impact on the service life of asphalt pavements. Currently, the commonly employed method for assessing aging involves the extraction of asphalt from asphalt mixtures using the Abson method. However, this method is known to be detrimental to the extracted asphalt samples, time-consuming, and environmentally unfriendly. This study explored a novel non-destructive method for assessing asphalt aging, known as low-field nuclear magnetic resonance (LF-NMR). It primarily investigated the influence of asphalt content in asphalt mixtures on the patterns of LF-NMR spectra. Specifically, it examined the effect of asphalt content on LF-NMR spectra in …

Travel Behavior Study On Shared Micromobility Service, Yixiang Teng

Lyles School of Civil Engineering Graduate Student Reports

This study investigates the travel behavior on the shared micromobility service around Purdue University West Lafayette campus area. It aims to understand the shared micromobility user patterns and identify the barriers of adoption. The study was enlightened by the influence of pandemic on transportation choices and the shift on transportation habits, and the gap identified was the understanding of the college related population. The research method was a constructed survey distributed among Purdue University’s students, faculties and staffs. A total of 143 valid responses were collected, comprising 73 current users and 70 non-users. Results indicate that shared micromobility is primarily …

A Survey Of Acoustic Phenomena And Predictive Modeling Techniques For High Explosive Experimentation, Nathanael I. Breed

Senior Honors Theses

High explosive experimentation (HEE) is a technical industry that is regulated, expensive, and dangerous. Developing novel technologies to aid in predictive abilities to minimize the industry’s reliance on the need for full-scale experiments is a worthwhile endeavor. Having the capacity to make accurate predictions regarding the overpressure of a detonation wave after it has interacted with various geometries is useful, but the current state of predictive techniques is limited with many techniques, either neglecting relevant acoustic phenomena or not being able to account for complex geometries. This thesis provides an overview of several acoustic phenomena and the current state of …

Compression Strength Prediction Of Regular-Slotted-Container Corrugated Fiberboard Boxes Based On Artificial Neural Network Using Multiple Materials And Design Parameters, Tita Archaviboonyobul, Ravipim Chaveesuk, Jay Singh, Tunyarut Jinkarn

Industrial Technology and Packaging

Importance of the work: An accurate compression strength prediction model of RSC corrugated boxes could be used as an effective packaging design tool for industry.

Objectives: This research applied the material and design parameters for RSC corrugated box strength prediction using artificial backpropagation neural network modelling (BPN).

Materials and Methods: Total of 17 material and design factors from 630 commercially corrugated box samples in Thailand were recorded as input parameters along with their box compression test (BCT) values as output parameter. Data was randomly grouped as 80:10:10 during the model development for training set, testing set and validating set, respectively. …

Quantifying Treatment Response To A Macrophage-Targeted Therapy In Combination With Immune Checkpoint Inhibitors After Exposure To Conventional Chemotherapy, Shelby N. Bess, Gaven K. Smart, Timothy J. Muldoon

Biomedical Engineering Faculty Publications and Presentations

Background: Conventional chemotherapeutic agents, such as 5-fluorouracil (5-FU), can exert anti-tumor effects through immunogenic cell death (ICD) induction. Researchers have found hallmarks that quantify ICD (such as the translocation of HMGB1 and calreticulin). Although chemotherapeutic agents can induce ICD, they increase the expression of immune checkpoints, limiting their effectiveness. Studies have emphasized the importance of investigating the heterogeneous responses of cells co-localized in a solid tumor (macrophages, tumor cells, etc.) to ICD induction. However, these studies were performed in vivo, which limits the collection of information on cell-cell interactions due to model complexity.

Methods: In this study, we used a …

Data-Driven D Region Model (D3r) Svdd: Software Version Description Document (Svdd), James Vincent Eccles

Space Dynamics Laboratory Publications

This is the Software Version Description Document of the Data-Driven D Region (D3R) model. There are 2 main distributions: (a) D3R designed for containerized deployments (D3Rc) and (b) D3R designed for testing and development. These two distributions are maintained in parallel, and this document describes both. The D3R for containerization is typically provided to customers. The D3R model is a physics-based model for calculating electron density profiles across the D Region ionosphere altitudes (50 km to 95 km) and E Region altitudes (95 km to 120 km) for any given geolocation. The model has two main programs: one to solve …

Development Of 6d Electromagnetic Actuation For Micro/Nanorobots In High Viscosity Fluids For Drug Delivery, Mostafa Abdelaziz, Maki Habib

Mechanical Engineering

This research focuses on the development, design, implementation, and testing (with complete hardware and software integration) of a 6D Electromagnetic Actuation (EMA) system for the precise control and navigation of micro/nanorobots (MNRs) in high-viscosity fluids, addressing critical challenges in targeted drug delivery within complex biological environments, such as blood vessels. The primary objective is to overcome limitations in the actuation efficiency, trajectory stability, and accurate path-tracking of MNRs. The EMA system utilizes three controllable orthogonal pairs of Helmholtz coils to generate uniform magnetic fields, which magnetize and steer MNRs in 3D for orientation. Another three controllable orthogonal pairs of Helmholtz …

Optimizing Hydrogel Performance Composed Of Japanese Pagoda Tree Extract Loaded-Gelatin-Sodium Alginate-Polyethylene Oxide For Biomedical Applications: Influence Incorporated Calcium-Based Metal Organic Frameworks And Zinc Oxide Nps, Samar A. Salim

Nanotechnology Research Centre

Gelatin/sodium alginate/polyethylene oxide hydrogel was synthesized by self-gelation method and utilized to achieve enhanced mechanical strength. Japanese pagoda, tree extracts rich in flavonoids and isoflavonoids was incorporated to enhance tissue repair along with ZnO-NPs to provide the hydrogel with necessary antimicrobial and other desirable biological properties. The inclusion of Ca-BDC MOF enhanced hydrogel matrix by providing more surface area and the presence of calcium ion needed for tissue regeneration. Results revealed that composite hydrogel displayed suitable gelation time and swelling rate that was further improved by incorporating the plant extract, ZnO-NPs, and Ca-BDC MOF. The efficacy of the tested formulations …

Fracture Initiation Pressure As A Measure Of Cemented Paste Backfill Strength, James A. Frimpong, Basel Ahmad Shabab, Rohit Pandey, Snehamoy Chatterjee, Gabriel Walton, Alexander S. Brand

Michigan Tech Publications

This laboratory-scale study presents the development and validation of a hydraulic fracturing technique to directly measure the tensile strength of cemented paste backfill (CPB), providing an alternative to traditional strength testing methods. Fracture initiation pressure (FIP) was used as the primary measure of CPB strength. Experimental results were compared with traditional benchmark measures such as uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), and critical Mode-I fracture toughness (KIc). Regression analysis of experimental results revealed a strong linear relationship between FIP and these benchmark strength measures, indicating that FIP can be used as a reliable predictor of CPB strength. However, …

Mechanism Of Property Enhancement Of Cu−Ti Alloys Via Microalloying With Cr And Mg Elements, Huan Wei, Hong Wei, Hua-Yun Du, Qian Wang, Cai-Zhi Zhou, Ying-Hui Weu, Li-Feng Hou

Faculty Publications

The effect of adding Cr and Mg on the microstructure and properties of Cu−Ti alloys was examined. Cu−Ti−Cr−Mg alloys were fabricated using vacuum induction melting. The microstructure and phase composition of Cu−Ti−Cr−Mg alloys in different aging states were characterized. Additionally, the hardness and electrical conductivity of the materials were investigated. Results show that the precipitation pattern in Cu−Ti−Cr−Mg alloys resembled that of binary Cu−Ti alloys, with Cr and Ti forming the intermetallic compound of Cr2Ti during casting. The introduction of Cr and Mg increased the hardness of the alloy. Increasing the Mg content in the Cu−Ti−Cr−Mg alloy led to grain …

Capturing Interfacial Phase Change And Flow Physics During Vertical Downflow Condensation, Thanh Hoang Phan, Cho Ning Huang, Chirag R. Kharangate

Faculty Scholarship

Two-phase configurations can address the urgent demand for effective heat dissipation solutions in Naval power and energy systems. A better understanding of thermal transport processes in phase-change flows is critical for developing novel two-phase design tools for naval scientists and engineers. This study investigates interfacial phase change and flow dynamics during condensation flow through numerical simulations. An enhanced phase change model, incorporating a mass transfer intensity coefficient dependent on condensation film thickness, is implemented for vertical downflow condensation. A two-dimensional homogeneous two-phase Reynolds-Averaged Navier-Stokes model, coupled with the Shear-Stress Transport k-ω turbulence model, is employed. The developed solver is thoroughly …

Small-Scale Production Of Bespoke Accelerated Aging Plutonium Alloy, K. S. Holliday, A. M. Parkes, Devin Rappleye, D. J. Roberts, K. J. Kondrat, S. A. Simpson, A. J. Swift, U. Mehta, R. M. Kissinger, D. L. Rosas, L. S. Ripplinger, E. R. Tardiff, S. L. Harris, S. Perkins, C. Hawkins, N. J. Gibbs, R. J. P. Driscoll, A. T. Sidambe, R. A. Cole, T. T. Roehling, J R. Jeffries

Faculty Publications

This study demonstrates the 100 g scale manufacture of a plutonium alloy that ages at an accelerated rate. The resulting alloy ages six times faster than typical weapons-grade plutonium due to the addition of ²³⁸Pu. As a major innovation, the process involved using a partial direct oxide reduction technique. This method was achieved by developing a new, complex geometry stirrer using additive manufacturing to reduce the ²³⁸Pu oxide and efficiently incorporate it into weapons-grade plutonium metal. The material was then purified by molten salt extraction and electrorefining before being alloyed with gallium. The alloy was then cold-rolled and …

Investigating The Role Of Blood Models In Predicting Rupture Status Of Intracranial Aneurysms, Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Nan Mu, Jingfeng Jiang

Michigan Tech Publications

Purpose. Selecting patients with high-risk intracranial aneurysms (IAs) is of clinical importance. Recent work in machine learning-based (ML) predictive modeling has demonstrated that lesion-specific hemodynamics within IAs can be combined with other information to provide critical insights for assessing rupture risk. However, how the adoption of blood rheology models (i.e., Newtonian and Non-Newtonian blood models) may influence ML-based predictive modeling of IA rupture risk has not been investigated.Methods and Materials.In this study, we conducted transient CFD simulations using Newtonian and non-Newtonian rheology (Carreau-Yasuda [CY]) models on a large cohort of 'patient-specific' IA geometries (>100) under pulsatile flow conditions to …

Usb-Powered Virtual Cyber Labs: A Plug-And-Play Solution For Cybersecurity Education, Danny Galvis, Keith Fernandez, David Abiandu

Center for Cybersecurity

No abstract provided.

Rfid Tag For Continuous User Verification, Christian Zambrano

Center for Cybersecurity

RFID Tag for Continuous User Verification — Kean University Research Days

Machine Learning Techniques For Detecting Distributed Denial Of Service (Ddos) Attacks, Caesar Marte

Center for Cybersecurity

Machine Learning Techniques for Detecting Distributed Denial of Service (DDoS) Attacks — Kean University Research Days

Comparative Analysis Of Operating System Security: Evaluating The Most Secure Os, Rodrigo Gonzalez

Center for Cybersecurity

https://www.keanresearchdays.com/student-poster-presentation-2025-feed/comparative-analysis-of-operating-system-security-evaluating-the-most-secure-os

Scalable Cyber-Physical Testbed For Cybersecurity Evaluation Of Synchrophasors In Power Systems, Shuvangkar Chandra Das, Tuyen Vu, Hebert L. Ginn Iii

Faculty Publications

This paper presents a synchrophasor-based real-time cyber-physical power system testbed with a novel security evaluation tool, pySynphasor, that can emulate different real attack scenarios on the phasor measurement unit (PMU). The testbed focuses on real-time cyber-security emulation using different components, including a real-time digital simulator, virtual machines (VM), a communication network emulator, and a packet manipulation tool. The script-based VM deployment and software-defined network emulation facilitate a highly scalable cyber-physical testbed, which enables emulations of a real power system under different attack scenarios such as address resolution protocol (ARP) poisoning attack, man-in-the-middle (MITM) attack, false data injection attack (FDIA), and …

In-Situ Rtm Videos, Tanner Garrett

ScholarsArchive Data

This data set contains videos of resin infusion experiments.

Porous Hierarchically Ordered Hydrogels Demonstrating Structurally Dependent Mechanical Properties, Elisabeth C. Lloyd, Sujata Dhakal, Shahrouz Amini, Rami Alhasan, Peter Fratzl, Douglas R. Tree, Svetlana Morozova, Robert J. Hickey

Faculty Publications

While hierarchical ordering is a distinctive feature of natural tissues and is directly responsible for their diverse and unique properties, efforts to synthesize biomaterials have primarily focused on using molecular-based approaches with little emphasis on multiscale structure. Here, we report a bottom-up self-assembly process to produce highly porous hydrogel fibers that resemble extracellular matrices both structurally and mechanically. Physically crosslinked nanostructured micelles form the walls of micrometer-sized water-rich pores with preferred orientation along the fiber direction. Low elastic moduli (< 1 kPa), high elasticity (extending by more than 12 times the initial length), non-linear elasticity (e.g., hyperelasticity), and completely reversible extension are derived from unevenly distributed strain between the micrometer-sized pores and the polymer chains, which is reminiscent of cellular solids. Control of the material microstructure and orientation over many orders of magnitude (e.g., nm–μm), while holding the nanostructure constant, reveals how the multiscale structure directly impacts mechanical properties.

A Comparison And Investigation Of 2d Axisymmetric And 3d Models For The Wave Augmented Varicose Explosions Atomizer, Caleb Miller

Senior Honors Theses

Atomization of non-Newtonian, high-viscosity fluids is a challenging task with many applications. One method of atomizing these types of flows is the Wave Augmented Varicose Explosions (WAVE) atomizer. Using this framework, the study establishes an analysis methodology, investigates the relationship between 2D axisymmetric (2DA) and 3D models, and provides analysis of geometric, non-geometric, and non-dimensional parameter influences on the atomizer characterization in 2DA models. The study found that 2DA models can provide viable predictions of certain 3D model characteristics, established several mathematical models for parameter relationships among 2DA models, and identified certain metrics as inadequate predictors of atomizer characteristics in …

Methods For Rotating Electrodes In High-Temperature Molten Salts, Ranon Fuller, Eloise Cluff, Edward Mercado, Carlos Mejia, Devin Rappleye

Faculty Publications

In this paper, we describe and validate a custom apparatus for performing high-speed (250-3,500 rpm) rotating electrode and dilatometer density experiments in molten salts. The reported details can aid in decreasing the difficulty and increasing the quality of such experiments. We discuss the design challenges and the solutions identified. We investigate methods for accurately measuring the solution resistance using electrochemical impedance spectroscopy (EIS), calculating the working electrode area using cyclic voltammetry (CV), and measuring the mass transfer-limited current of rotating electrodes using a series of chronoamperometry (CA) pulses. We further demonstrate the efficacy of our methods in producing accurate results.

Uta Datathon 2025 Challenges (Archive), Rubab Shahzad, Srinivasa Sai Abhijit Challapalli, Ghanbarian Behzad, Mei Yang, Clivin Geju, Zecil Yogeshkumar Jain, Jay Mahavirkumar Shah, Sai Nikhitha Chandana

2025 Datathon Challenges-Archive

Timed and Model Challenges from the UTA Datathon 2025

Effect Of Precursors On Trimetallic Ruthenium-Based Catalysts Supported On Γ‑Al2O3 Pellets For Low-Temperature Ammonia Decomposition, Christopher J. Koch, Jennifer Naglic, Logan Kearney, Daniel Clairmonte, Binod Rai, Jochen A. Lauterbach, Lucas M. Angelette, Tyler Guin

Faculty Publications

Ammonia is a promising candidate as a liquid hydrogen energy storage medium, but it requires catalytic decomposition (ammonia cracking) to regenerate hydrogen. Recently developed trimetallic ruthenium−potassium-promoter (RuKM) ammonia decomposition catalysts have exceptionally low ammonia decomposition temperatures, able to perform the decomposition as low as 250 °C, which is significantly lower than other known catalysts that require temperatures above 500 °C. However, the effects of the RuKM precursor on the catalytic activity have not been investigated. We report the observed differences of 3% ruthenium/12% potassium/1% yttrium (RuKY) catalysts on γ-alumina synthesized from chloride-, nitrate-, and acetate-based precursors. Catalysts synthesized from chloride-based …

Establishing Particle Size Recommendations For Cationic Asphalt Emulsions, Tanner Turben, Pedro Diaz-Romero, Andrew Braham

Civil Engineering Faculty Publications and Presentations

Asphalt emulsions are used in flexible pavement maintenance and rehabilitation treatments. Emulsion specifications for material characterization are based on testing methodology dating to the 1930s. Newer test methods, including particle size analysis (PSA) of binder droplets in emulsion, have been explored but not implemented into specifications. The objective of this study is to observe the particle size and performance of cationic slow-setting (CSS) emulsions and establish baseline particle size recommendations for cationic emulsions. Four physical property tests (residue, oversize particles, viscosity, and particle size) and two cold mix asphalt performance tests (indirect tensile strength (IDT) and direct shear test (DST)) …

Leadership In The Age Of Ai: Review Of Quantitative Models And Visualization For Managerial Decision-Making, Satyadhar Joshi

Harrisburg University Other Works

This paper offers a comprehensive review of existing literature on the intersection of Artificial Intelligence (AI) and leadership, drawing on both theoretical insights and practical implementations. By analyzing scholarly publications from the past two years (2023-2025), the review traces emerging patterns in how AI technologies are being integrated into leadership practices. Key themes include the growing relevance of learning-based systems for adaptive decision-making and the application of attention-based models to improve responsiveness in dynamic environments. The review also addresses ethical dimensions of AI-enabled leadership, emphasizing the need to balance algorithmic efficiency with human judgment and oversight. Concerns around transparency, psychological …

Bioactivity And Mechanical Performance Of Centrifugally Spun Poly(D,L-Lactide)/Poly(3-Hydroxybutyrate) Submicrometric Fibers Containing Zinc Oxide And Hydroxyapatite Nanostructures, Victoria Padilla-Gainza, Heriberto Rodríguez-Tobías, Karen Lozano, Cristobal Rodriguez, Robert Gilkerson, Antonio Ledezma-Pérez, Narcedalia Anaya-Barbosa, Graciela Morales

Mechanical Engineering Faculty Publications

This study investigates the morphological, thermal, mechanical, and bioactive properties of centrifugally spun fibrous composites made from poly(D,L-lactide)/poly(3-hydroxybutyrate) (PLA/PHB) blends with zinc oxide (ZnO) and hydroxyapatite (Hap) nanoparticles. A 75/25 PLA/PHB weight ratio was chosen to balance mechanical and thermal properties. The precursor solution viscosities ranged from 0.25 to 0.50 Pa s, increasing with nanoparticle incorporation probably due to polymer-nanoparticle interactions. SEM revealed a uniform fibrous morphology, with diameters of 1.21 for PLA/PHB, 2.65 for PLA/ZnO/Hap, and 1.80 μm for PLA/PHB/ZnO/Hap. TGA showed two-step degradation for PLA/PHB fibers, while PLA/PHB/ZnO/Hap degraded in a single step at 249°C, leaving a residue …

Using Eeg Signal For Smart Health: An Overview, Addison Clark, Chelsea Bonyata, Ishfaq Ahmad, Hansheng Lei, Khalid Saifullah, Victor Ibarra

Informatics and Engineering Systems Faculty Publications

This survey paper aims to provide an overview of the current state of EEG (Electroencephalography) signal technology as it relates to people with disabilities. It will highlight the various methods and techniques employed, discussing their advantages and disadvantages. The paper will also examine the applications of EEG technology in assisting individuals with disabilities, specifically focusing on Brain-Computer Interfaces (BCIs) and assistive device control. By understanding the current state of EEG signal technology, we can identify the opportunities and challenges involved in utilizing this technology to improve the lives of people with disabilities.

Imine Crosslinked, Injectable, And Self-Healing Fucoidan Hydrogel With Immunomodulatory Properties, Asma Talib Qureshi, Shajia Afrin, Saad Asim, Muhammad Rizwan

Michigan Tech Publications

Biomaterials with inherent anti-inflammatory properties and the ability to foster a pro-regenerative environment hold significant promise for enhancing cell transplantation and tissue regeneration. Fucoidan, a sulfated polysaccharide with well-documented immune-regulatory and antioxidant capabilities, offers strong potential for creating such biomaterials. Yet, there is a lack of engineered fucoidan hydrogels that are injectable and provide tunable physicochemical properties. In this study, the ability of fucoidan to undergo periodate-mediated oxidation is leveraged to introduce aldehydes into backbone (oxidized fucoidan, OFu), enabling the formation of reversible, imine-crosslinks with amine-containing molecules such as gelatin. The imine-crosslinked OFu-gelatin hydrogel provided excellent control over gelation rate …

Polymetal Phosphate Cement From Tin Fuming Furnace Slag: Hydration Mechanism, Mechanical Performance, And Environmental Safety, Peiwen Lv, Xintao Zhou, Zhongqiu Luo, Cuirong Yan, Xiunan Cai, Ting Huang, Pingyan Wang, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Phosphate cement materials are ideal binders for the rapid repairment of civil engineering and solidification/stabilization of hazardous solid wastes due to their fast setting, high early strength and strong adhesion. However, the use of pure metal oxides as the raw base materials and their deactive pretreatment result in the high cost and energy consumption, limiting its broad applications. In this study, an eco-friendly polymetal phosphate cement (PMPC) was developed using tin fuming furnace slag (TFFS) as the primary base material. The hydration behavior, microstructure, mechanical properties, and environmental safety of PMPC were comprehensively evaluated. The results showed that the hydration …