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Articles 91 - 120 of 657
Full-Text Articles in Mechanical Engineering
Text-To-Model Transformation: Natural Language-Based Model Generation Framework, Aditya Akundi, Joshua Ontiveros, Sergio Luna
Text-To-Model Transformation: Natural Language-Based Model Generation Framework, Aditya Akundi, Joshua Ontiveros, Sergio Luna
Mechanical Engineering Faculty Publications
System modeling language (SysML) diagrams generated manually by system modelers can sometimes be prone to errors, which are time-consuming and introduce subjectivity. Natural language processing (NLP) techniques and tools to create SysML diagrams can aid in improving software and systems design processes. Though NLP effectively extracts and analyzes raw text data, such as text-based requirement documents, to assist in design specification, natural language, inherent complexity, and variability pose challenges in accurately interpreting the data. In this paper, we explore the integration of NLP with SysML to automate the generation of system models from input textual requirements. We propose a model …
Natural Language Processing For Automated Sysml Diagram Generation, Joshua Andre Ontiveros
Natural Language Processing For Automated Sysml Diagram Generation, Joshua Andre Ontiveros
Theses and Dissertations
This thesis explores the applications of natural language processing (NLP) techniques in model-based system engineering (MBSE) to help generate System Modeling Language (SysML) diagrams. MBSE is a method that aids in enhancing traditional engineering practices by modeling to help improve understanding and communication in systems development. SysML, one of the modeling languages for MBSE, helps represent a system's architecture, behavior, and information flow. Translating systems requirements and specifications into SysML models can be time-consuming and can lead to errors when created manually. Automating the creation of SysML diagrams from textual descriptions with the help of NLP techniques can aid in …
Advancements In Aerial Vehicle Platforms: A Guide For Design, Validation, And Implementation Of 3d Printed Drones, Alan Salvador Urteaga
Advancements In Aerial Vehicle Platforms: A Guide For Design, Validation, And Implementation Of 3d Printed Drones, Alan Salvador Urteaga
Theses and Dissertations
Additive manufacturing methods have revolutionized the way products are designed and developed through a product's entire design life cycle. This is in part correlated with the nature of additive manufacturing methods that differentiate them from traditional methods. Some of the benefits of additive manufacturing methods include customizability, rapid prototyping, the production of complex design geometry, and embedded assembly manufacturing. Unmanned aerial vehicles have been on the rise for various military, commercial, or personal applications. The focus of this study is to provide detailed instructions on how to engineer a viable drone design that is impact-resistant, modular, and customizable. This study …
In Situ Shear Exfoliation Of Layered Materials And Fabrication Of Multifunctional Composites, Md Abdur Rahman Bin Abdus Salam
In Situ Shear Exfoliation Of Layered Materials And Fabrication Of Multifunctional Composites, Md Abdur Rahman Bin Abdus Salam
Theses and Dissertations
To harness the extraordinary properties of 2D nanomaterials across a range of applications, including but not limited to device fabrication (such as sensors and transistors), energy storage and conversion systems (like batteries and solar cells), as well as biomedical applications (such as drug delivery and tissue engineering), it is imperative to achieve proper synthesis to single-layer form from bulk material, ensuring defect-free synthesis. Recognizing the criticality of defect-free synthesis and high yield for nanocomposite production, our focus centered on developing a facile, contamination-free, single-step, in situ shear exfoliation process for bulk materials (such as graphene, hBN, coal) within elastomers, which …
Feature Extraction From Vibration Signature Acquired From Railroad Bearing Onboard Condition Monitoring Sensor Modules, Kevin Quaye
Theses and Dissertations
The University Transportation Center for Railway Safety (UTCRS) has designed an onboard monitoring system that tracks vibration waveforms over time, to obtain a direct and more accurate indicator of bearing health. The data collected by these sensors is used for vibrational analyses of the bearings. The speed of the bearing is a fundamental parameter needed to carry out the analysis. GPS data can be used to determine bearing speed if available; however, due to size, cost and power constraints GPS is typically not available at the sensor location. This means that analysis must be delayed until the data is uploaded …
Bridging Human Emotion And Autonomous Vehicle Control: Reinforcement Learning Enhancements In The Carla Simulator, Timothy Marion Jude Lyons
Bridging Human Emotion And Autonomous Vehicle Control: Reinforcement Learning Enhancements In The Carla Simulator, Timothy Marion Jude Lyons
Theses and Dissertations
Autonomous vehicles are a key component for an evolution in transportation as they may lead to increased safety and productivity. As autonomous vehicles advance industries will look to further increase customer satisfaction through personalized experiences for autonomous vehicle passengers. Reinforcement learning may be the key to success for autonomous vehicles. The development of autonomous vehicles, utilizing reinforcement learning, which consider the emotions of the passenger, will be a breakthrough for the automotive industry. This thesis presents a unique approach to autonomous vehicles developed with reinforcement learning which consider the human emotions of the passenger. It is a stepping stone to …
Attachment Of 2d Nanomaterials Onto 1d Nanofibers For Separation And Sensing Applications, Elmmer A. Vera Alvarado
Attachment Of 2d Nanomaterials Onto 1d Nanofibers For Separation And Sensing Applications, Elmmer A. Vera Alvarado
Theses and Dissertations
Advancing materials for water desalination and sensing is essential for tackling global issues related to clean water and efficient energy systems. This thesis explores the application of 2D nanomaterials, specifically graphene, integrated onto 1D poly(vinylidene fluoride) (PVDF) nanofibers to enhance their effectiveness in these areas. Utilizing innovative techniques such as Forcespinning® and plasma treatment, PVDF nanofibers were strengthened with graphene and conductive polymers like poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS). The research involved thorough assessments using direct contact membrane distillation (DCMD) systems, oil-water separation tests, and various mechanical and electromechanical evaluations. Heat-pressed membranes consistently delivered a flux of 0.33 kg/m²/hr and …
The Effect Of Tio2 On The Electrochemical Performance Of Sb2o3 Anodes For Li-Ion Batteries, Kithzia Gomez, Elizabeth M. Fletes, Jason Parsons, Mataz Alcoutlabi
The Effect Of Tio2 On The Electrochemical Performance Of Sb2o3 Anodes For Li-Ion Batteries, Kithzia Gomez, Elizabeth M. Fletes, Jason Parsons, Mataz Alcoutlabi
Mechanical Engineering Faculty Publications
Antimony (Sb) and its composites have been recognized as potentially good anode materials for lithium-ion batteries (LIBs) due to their relatively high theoretical capacity of 660 mAh g−1 and to their low cost. However, Sb-based anodes suffer from a high-volume change during the lithiation/delithiation process that results in capacity fading and anode degradation after prolonged charge/discharge cycles. To address this issue, Sb2O3/TiO2 nanocomposite electrodes can be synthesized and used as anodes for LIBs with high capacity and good electrochemical stability. In the present work, TiO2@Sb2O3 composites with different (TiO2:Sb2O3) ratios of 0:1, 1:1, 1:4 and 3:1 were synthesized and directly …
A Survey On Fused Filament Fabrication To Produce Functionally Gradient Materials, Arup Dey, Monsuru Ramoni, Nita Yodo
A Survey On Fused Filament Fabrication To Produce Functionally Gradient Materials, Arup Dey, Monsuru Ramoni, Nita Yodo
Manufacturing & Industrial Engineering Faculty Publications
Fused filament fabrication (FFF) is a key extrusion-based additive manufacturing (AM) process for fabricating components from polymers and their composites. Functionally gradient materials (FGMs) exhibit spatially varying properties by modulating chemical compositions, microstructures, and design attributes, offering enhanced performance over homogeneous materials and conventional composites. These materials are pivotal in aerospace, automotive, and medical applications, where the optimization of weight, cost, and functional properties is critical. Conventional FGM manufacturing techniques are hindered by complexity, high costs, and limited precision. AM, particularly FFF, presents a promising alternative for FGM production, though its application is predominantly confined to research settings. This paper …
Laser-Induced Electrochemical Biosensor Modified With Graphene-Based Ink For Label-Free Detection Of Alpha-Fetoprotein And 17Β-Estradiol, Ridma Tabassum, Pritu P. Sarkar, Ahmed Hasnain Jalal, Ali Ashraf, Nazmul Islam
Laser-Induced Electrochemical Biosensor Modified With Graphene-Based Ink For Label-Free Detection Of Alpha-Fetoprotein And 17Β-Estradiol, Ridma Tabassum, Pritu P. Sarkar, Ahmed Hasnain Jalal, Ali Ashraf, Nazmul Islam
Mechanical Engineering Faculty Publications
In this research, a novel electrochemical biosensor is proposed based on inducing graphene formation on polyimide substrate via laser engraving. Graphene polyaniline (G-PANI) conductive ink was synthesized by planetary mixing and applied to the working zone of the developed sensor to effectively enhance the electrical signals. The laser-induced graphene (LIG) sensor was used to detect alpha-fetoprotein (AFP) and 17β-Estradiol (E2) in the phosphate buffer saline (PBS) buffer and human serum. The electrochemical performance of the biosensor in determining these biomarkers was investigated by differential pulse voltammetry (DPV) and chronoamperometry (CA). In a buffer environment, alpha-fetoprotein (AFP) and 17β-Estradiol detection range …
Synthesis, Characterization, And Antibacterial Activity Of Graphene Oxide/Zinc Hydroxide Nanocomposites, Jo Ann Sanchez, Luis A. Materon, Jason Parsons, Mataz Alcoutlabi
Synthesis, Characterization, And Antibacterial Activity Of Graphene Oxide/Zinc Hydroxide Nanocomposites, Jo Ann Sanchez, Luis A. Materon, Jason Parsons, Mataz Alcoutlabi
Mechanical Engineering Faculty Publications
Graphene and graphene oxide have shown good antibacterial activity against different bacterial species due to their unique physicochemical properties. Graphene oxide (GO) has been widely used to load metallic and metal oxide nanoparticles (NPs) to minimize their surface energy during processing and preparation, hence reducing their aggregation. In this work, GO was effectively synthesized and coated with different concentrations of zinc hydroxide Zn (OH)x using the precipitation method to prepare a GO/Zn (OH)x hybrid composite. The Zn (OH)x NPs and GO/Zn (OH)x nanocomposites were synthesized and characterized using various methods such as scanning electron microscopy (SEM), X-ray diffraction (XRD), and …
Machine Learning-Guided Design Of Nanolubricants For Minimizing Energy Loss In Mechanical Systems, Kollol Sarker Jogesh, Md. Aliahsan Bappy
Machine Learning-Guided Design Of Nanolubricants For Minimizing Energy Loss In Mechanical Systems, Kollol Sarker Jogesh, Md. Aliahsan Bappy
Mechanical Engineering Faculty Publications
This study explores the significant potential of machine learningguided design in optimizing nanolubricants, focusing on their application in reducing friction and wear in mechanical systems. Utilizing neural networks and genetic algorithms, the research demonstrates how advanced computational techniques can accurately predict and enhance the tribological properties of nanolubricants. The findings reveal that nanolubricants, particularly those containing graphene and carbon nanotubes, exhibit marked improvements in reducing friction coefficients and wear rates compared to traditional mineral oil-based lubricants. Additionally, the enhanced thermal stability and load-carrying capacity of these nanolubricants contribute to substantial energy savings and increased operational efficiency. The study underscores the …
Development Of A Mechanical Boot For Prevention Of Deep Vein Thrombosis In Outpatients, Julian David Trevino
Development Of A Mechanical Boot For Prevention Of Deep Vein Thrombosis In Outpatients, Julian David Trevino
Theses and Dissertations
This work presents the development of a mechanical boot designed to prevent Deep Vein Thrombosis (DVT) in high-risk individuals such as those who have just had major procedures. DVT is a serious condition characterized by the formation of blood clots in the deep veins, particularly of the lower limbs, which can lead to life-threatening complications if not adequately addressed. The mechanical boot utilizes the principle of Continuous Passive Motion (CPM) to facilitate blood flow in the lower extremities, thereby mitigating the risk of clot formation. Through a combination of mechanical engineering, biomedical research, and user centered design, the project outlines …
Enhancement Of Polytetrafluoroethylene-Polyvinyl Alcohol Nanofibers Triboelectric Effect With Carboxylic Functionalized Multiwalled Carbon Nanotubes Coating, Fernando Viesca
Theses and Dissertations
In this study, we fabricated a TENG using Forcespinning® (FS) Polytetrafluoroethylene microfibers (FS-PTFE-MFs) and Electrospun (ES) Polyvinyl alcohol nanofibers (ES-PVA-NFs). The FS-PTFE-MFs were physically linked with functionalized carboxylic multiwall carbon nanotubes (MWCNTs-COOH) employing water dispersions. MWCNTs-COOH were dispersed using three different surfactants: Sodium Dodecyl Sulfate (SDS), Sodium dodecylbenzenesulfonate (SDBS), and Triton X-100 (TX-100). Coated FS-PTFE-MFs were then characterized using a field emission scanning electron microscope (FESEM) with an energy dispersive X-ray spectroscopy (EDS) attachment and Fourier-transform infrared spectroscopy (FTIR). While no significant difference in performance was observed with different surfactants, electrical results of the TENG recorded a notable enhancement of …
Work In Progress: Development Of A Bootcamp For Freshman Student Success During Covid-19 Transition, Noe Vargas Hernandez, Arturo A. Fuentes, Javier A. Ortega, Laura Benitez, Edna Orozco-Leonhardt
Work In Progress: Development Of A Bootcamp For Freshman Student Success During Covid-19 Transition, Noe Vargas Hernandez, Arturo A. Fuentes, Javier A. Ortega, Laura Benitez, Edna Orozco-Leonhardt
Mechanical Engineering Faculty Publications
Assessment results show that passing rates in introductory courses and retention rates of firstyear students in the College of Engineering and Computer Science at The University of X, a predominantly Hispanic Serving Institution (HSI), significantly dropped with the onset of COVID-19. These results and trends highlight the academic preparation of incoming students, particularly the new cohort of underrepresented Hispanic students from underserved and challenged communities in the region, who may not have the necessary skills (e.g., adaptability, persistence, and performance) for the rigor of engineering education. To address this challenge, an onboarding “boostcamp” was created for incoming and transfer students …
Board 294: Hsi Implementation And Evaluation Project: The Freshman Year Innovator Experience (Fyie): Bridging The Urm Gap In Stem, Noe Vargas Hernandez, Javier Ortega, Arturo A. Fuentes, Eleazar Marquez
Board 294: Hsi Implementation And Evaluation Project: The Freshman Year Innovator Experience (Fyie): Bridging The Urm Gap In Stem, Noe Vargas Hernandez, Javier Ortega, Arturo A. Fuentes, Eleazar Marquez
Mechanical Engineering Faculty Publications
The Freshman Year Innovator Experience (FYIE) program at The University of X, a Minority Serving Institution (MSI), aims to enhance the freshman experience for incoming students by developing key academic success skills. The program is developing self-transformation skills in freshman mechanical engineering students to help them overcome academic and professional challenges exacerbated by the COVID-19 pandemic. FYIE participants are taking two courses simultaneously: Introduction to Engineering (Course A) and Learning Frameworks (Course B). In Course A, students will complete a 6-week engineering design project, and in Course B, they are completing a 6-week academic career path project. During these parallel …
Work In Progress: Teaching Engineering Students To Self-Transform: Parallelisms Between Product Innovation And Student Career Path Planning, Noe Vargas Hernandez, Javier Ortega, Arturo A. Fuentes, Eleazar Marquez
Work In Progress: Teaching Engineering Students To Self-Transform: Parallelisms Between Product Innovation And Student Career Path Planning, Noe Vargas Hernandez, Javier Ortega, Arturo A. Fuentes, Eleazar Marquez
Mechanical Engineering Faculty Publications
Freshman engineering students can have a hard time transitioning to college. The freshman year is critical to the students’ academic success; in this year they learn basic skills and establish essential networks with other students, faculty, and resources. How can we help these freshman engineering students in this transition? We propose that freshman students can learn from the engineering design innovation process and apply it by analogy to the design of their academic pathways. There are multiple similarities between product innovation (i.e., technology) and the continuous academic challenges faced by the student. Engineers as designers and innovators have a vast …
Synthesis And Characterization Of Vanadium Nitride/Carbon Nanocomposites, Helia Magali Morales, Horacio Vieyra, David A. Sanchez, Elizabeth M. Fletes, Michael Odlyzko, Timothy P. Lodge, Victoria Padilla-Gainza, Mataz Alcoutlabi, Jason Parsons
Synthesis And Characterization Of Vanadium Nitride/Carbon Nanocomposites, Helia Magali Morales, Horacio Vieyra, David A. Sanchez, Elizabeth M. Fletes, Michael Odlyzko, Timothy P. Lodge, Victoria Padilla-Gainza, Mataz Alcoutlabi, Jason Parsons
Mechanical Engineering Faculty Publications
The present work focuses on the synthesis of a vanadium nitride (VN)/carbon nanocomposite material via the thermal decomposition of vanadyl phthalocyanine (VOPC). The morphology and chemical structure of the synthesized compounds were characterized using scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS), Fourier transformed infrared spectroscopy (FTIR), X-ray diffraction (XRD), and X-ray photoemission spectroscopy (XPS). The successful syntheses of the VOPC and non-metalated phthalocyanine (H2PC) precursors were confirmed using FTIR and XRD. The VN particles present a needle-like morphology in the VN synthesized by the sol-gel method. The morphology of the VN/C composite material exhibited small …
Study On The Tribological Properties Of Din 16mncr5 Steel After Duplex Gas-Nitriding And Pack Boriding, Rafael Carrera Espinoza, Melvyn Alvarez-Vera, Marc Wettlaufer, Manuel Kerl, Stefan Barth, Pablo Moreno Garibaldi, Juan Carlos Díaz Guillen, Héctor Manuel Hernández García, Rita Muñoz Arroyo, Javier A. Ortega
Study On The Tribological Properties Of Din 16mncr5 Steel After Duplex Gas-Nitriding And Pack Boriding, Rafael Carrera Espinoza, Melvyn Alvarez-Vera, Marc Wettlaufer, Manuel Kerl, Stefan Barth, Pablo Moreno Garibaldi, Juan Carlos Díaz Guillen, Héctor Manuel Hernández García, Rita Muñoz Arroyo, Javier A. Ortega
Mechanical Engineering Faculty Publications
DIN 16MnCr5 is commonly used in mechanical engineering contact applications such as gears, joint parts, shafts, gear wheels, camshafts, bolts, pins, and cardan joints, among others. This study examined the microstructural and mechanical properties and tribological behavior of different surface treatments applied to DIN 16MnCr5 steel. The samples were hardened at 870 °C for 15 min and then quenched in water. The surface conditions evaluated were as follows: quenched and tempered DIN 16MnCr5 steel samples without surface treatments (control group), quenched and tempered DIN 16MnCr5 steel samples with gas-nitriding at 560 °C for 6 h, quenched and tempered DIN 16MnCr5 …
Spectral Behavior Of Fiber Bragg Gratings During Embedding In 3d-Printed Metal Tensile Coupons And Cyclic Loading, Farid Ahmed, Md Shahriar Forhad, Mahmudul Hasan Porag
Spectral Behavior Of Fiber Bragg Gratings During Embedding In 3d-Printed Metal Tensile Coupons And Cyclic Loading, Farid Ahmed, Md Shahriar Forhad, Mahmudul Hasan Porag
Manufacturing & Industrial Engineering Faculty Publications
Additive manufacturing (AM) enables the spatially configurable 3D integration of sensors in metal components to realize smart materials and structures. Outstanding sensing capabilities and size compatibility have made fiber optic sensors excellent candidates for integration in AM components. In this study, fiber Bragg grating (FBG) sensors were embedded in Inconel 718 tensile coupons printed using laser powder bed fusion AM. On-axis (fiber runs through the coupon’s center of axis) and off-axis (fiber is at 5° and 10° to the coupon’s center of axis) sensors were buried in epoxy resin inside narrow channels that run through the coupons. FBGs’ spectral evolutions …
Feature Extraction From Vibration Signature Required From Railroad Bearing Onboard Condition Monitoring Sensor Modules, Kevin Quaye, Ping Xu, Dimah Dera, Heinrich D. Foltz, Constantine Tarawneh, Alberto Diaz
Feature Extraction From Vibration Signature Required From Railroad Bearing Onboard Condition Monitoring Sensor Modules, Kevin Quaye, Ping Xu, Dimah Dera, Heinrich D. Foltz, Constantine Tarawneh, Alberto Diaz
Mechanical Engineering Faculty Publications
From 2013 to 2022, 1671 derailments have been reported by the Federal Railroad Administration (FRA), 8.2% of which were due to journal bearing defects. The University Transportation Center for Railway Safety (UTCRS) designed an onboard monitoring system that tracks vibration waveforms over time to assess bearing health through three analysis levels. However, the speed of the bearing, a fundamental parameter for these analyses, is often acquired from Global Positioning System (GPS) data, which is typically not available at the sensor location. To solve this issue, this paper proposes to employ Machine Learning (ML) algorithms to extract the speed and other …
Experimental Investigation Of Lateral Load Effects On Railway Tapered Roller Bearing Performance, Abel David Sanchez Trinidad, Constantine Tarawneh, Diego Aguila, Arturo A. Fuentes, Santanna Guiterrez, Curtis Pena, Daniel Reyna
Experimental Investigation Of Lateral Load Effects On Railway Tapered Roller Bearing Performance, Abel David Sanchez Trinidad, Constantine Tarawneh, Diego Aguila, Arturo A. Fuentes, Santanna Guiterrez, Curtis Pena, Daniel Reyna
Mechanical Engineering Faculty Publications
In the quest to maintain the reliability and safety of railway systems, vibration signatures emerge as a crucial diagnostic tool for identifying and tracking the progression of railway bearing health. It is important to note that, in the case of spall deterioration, temperature variations may only become noticeable once spalling has spread extensively across the raceway. Hence, a comprehensive understanding of the effects of lateral loading under various train speeds at empty and full railcar loads is important. Surprisingly, limited research has been carried out or made publicly available on the effects of lateral loading on the performance of railroad …
Ai-Based Hazard Detection For Railway Crossings, Darren Espinoza, Gasser G. Ali, Constantine Tarawneh
Ai-Based Hazard Detection For Railway Crossings, Darren Espinoza, Gasser G. Ali, Constantine Tarawneh
Mechanical Engineering Faculty Publications
Grade crossings are critical elements of the railway infrastructure due to the potential risk of vehicle collisions with trains. According to the National Highway Traffic Safety Administration, there were more than 1,600 vehicle-train, and 500 human-train collisions in 2020. Researchers, transportation organizations, and government bodies are constantly exploring practices and technologies to improve safety at crossings. Examples of safety standards include sensors, motion detectors, depth cameras, and many other innovative technologies. The goal of this paper is to investigate the applications of computer vision using Artificial Intelligence (AI) deep learning models to enhance railway safety. Deep learning models can provide …
Kernel Ridge Regression In Predicting Railway Crossing Accidents, Ethan Villalobos, Constantine Tarawneh, Jia Chen, Evangelos E. Papalexakis, Ping Xu
Kernel Ridge Regression In Predicting Railway Crossing Accidents, Ethan Villalobos, Constantine Tarawneh, Jia Chen, Evangelos E. Papalexakis, Ping Xu
Mechanical Engineering Faculty Publications
Expanding on the insights from our initial investigation into railway accident patterns, this paper delves deeper into the predictive capabilities of machine learning to forecast potential accident trends in railway crossings. Focusing on critical factors such as “Highway User Position” and “Equipment Involved,” we integrate Kernel Ridge Regression (KRR) models tailored to distinct clusters, as well as a global model for the entire dataset. These models, trained on historical data, discern patterns and correlations that might elude traditional statistical methods. Our findings are compelling: certain clusters, despite limited data points, showcase remarkably Root Mean Squared Error (RMSE) values between predictions …
Spectral Clustering In Railway Crossing Accidents Analysis, Ethan Villalobos, Hector Lugo Iii, Biqian Cheng, Miguel Gutierrez, Constantine Tarawneh, Ping Xu, Jia Chen, Evangelos E. Papalexakis
Spectral Clustering In Railway Crossing Accidents Analysis, Ethan Villalobos, Hector Lugo Iii, Biqian Cheng, Miguel Gutierrez, Constantine Tarawneh, Ping Xu, Jia Chen, Evangelos E. Papalexakis
Mechanical Engineering Faculty Publications
This study employs graph mining and spectral clustering to analyze patterns in railway crossing accidents, utilizing a comprehensive dataset from the US Department of Transportation. By constructing a graph of implicit relationships between railway companies based on shared accident localities, we apply spectral clustering to identify distinct clusters of companies with similar accident patterns. This offers nuanced insight into the underlying structure of these incidents. Our results indicate that “Highway User Position” and “Equipment Involved” play pivotal roles in accident clustering, while temporal elements like “Date” and “Time” exert a diminished impact. This research not only sheds light on potential …
Development Of Rail Anchor Testing Through Literature Review Of Cwr Buckling Resistance Evaluation, Juan Rodriguez, Siang Zhou, Constantine Tarawneh, Alberto Sanchez, Teresa Salazar-Flores, S. Mustapha Rahmaninezhad, Hameem Gorabi
Development Of Rail Anchor Testing Through Literature Review Of Cwr Buckling Resistance Evaluation, Juan Rodriguez, Siang Zhou, Constantine Tarawneh, Alberto Sanchez, Teresa Salazar-Flores, S. Mustapha Rahmaninezhad, Hameem Gorabi
Mechanical Engineering Faculty Publications
Continuously welded rail (CWR) is among the most used railroad systems worldwide with great improvements compared to jointed tracks, including refined ride quality, increased fatigue life of track and rolling stock, and reduced maintenance costs. Rail buckling is one of the key remaining issues for CWRs to further reduce safety hazards and infrastructure deterioration, and save required track retrofit material and efforts. CWR buckling is induced by combined longitudinal, lateral, and torsional forces on the track that are caused by the synergy of rail components, the loading from moving trains, the interaction between track and substructure, and the effect of …
Comparing Life-Cycle Dynamics Of Li-Ion Batteries (Libs) Clustered By Operating Conditions With Sindy, Kristen L. Hallas, Md Shahriar Forhad, Tamer Oraby, Benjamin Peters, Jianzhi Li
Comparing Life-Cycle Dynamics Of Li-Ion Batteries (Libs) Clustered By Operating Conditions With Sindy, Kristen L. Hallas, Md Shahriar Forhad, Tamer Oraby, Benjamin Peters, Jianzhi Li
Manufacturing & Industrial Engineering Faculty Publications
Lithium-ion batteries (LIBs) play a big part in the vision of a net-zero emission economy, yet it is commonly reported that only a small percentage of LIBs are recycled worldwide. An outstanding barrier to making recycling LIBs economical throughout the supply chain pertains to the uncertainty surrounding their remaining useful life (RUL). How do operating conditions impact initial useful life of the battery? We applied sparse identification of nonlinear dynamics method (SINDy) to understand the life-cycle dynamics of LIBs with respect to sensor data observed for current, voltage, internal resistance and temperature. A dataset of 124 commercial lithium iron phosphate/graphite …
Prototyping Low-Cost Tribometer With Block On Ring Configuration For The Optimization Of Metal-Forming Applications, Immanuel A. Edinbarough, Jaime Taha-Tijerina
Prototyping Low-Cost Tribometer With Block On Ring Configuration For The Optimization Of Metal-Forming Applications, Immanuel A. Edinbarough, Jaime Taha-Tijerina
Informatics and Engineering Systems Faculty Publications
Applications in the metal-mechanic industry require the analysis and support of tribo-evaluations in their manufacturing processes. Experimentation with various metals and components could be performed under controlled conditions, including the ability to apply testing with a fluid or lubricant media or in dry conditions. The aim of this work is to design and fabricate a working block for a ring tribometer at low cost. Present and future stakeholders will have the ability to analyze material properties in friction, wear, and displacement while saving the university over 500% in costs of an industrial tribometer. The integrity of the machine must adhere …
Determination Of Water Quality And Efficient Removal Of Arsenic And Iron From Groundwater Using Mahogany Fruit Husk And Banana Peduncle Charcoals, Molla Rahman Shaibur, Yasmin Khatun, Masum Howlader, Md. Mirajul Islam, Md. Wasikur Rahman, Abu Shamim Khan, Balram Ambade
Determination Of Water Quality And Efficient Removal Of Arsenic And Iron From Groundwater Using Mahogany Fruit Husk And Banana Peduncle Charcoals, Molla Rahman Shaibur, Yasmin Khatun, Masum Howlader, Md. Mirajul Islam, Md. Wasikur Rahman, Abu Shamim Khan, Balram Ambade
Mechanical Engineering Faculty Publications
The groundwater (GW) of Bangladesh is predominantly contaminated with arsenic (As) and iron (Fe) which has a bad impact on human health. We tried to remove these elements with easily available mahogany-fruit (Swietenia mahagoni) husk charcoal (MHC) and banana (Musa acuminata) peduncle charcoal (BPC). The trial was implemented with 3 replications throughout the research. The sampled GW contained 0.06 mg As L−1 and 4.83 mg Fe L−1. Firstly, the pH was 3, 5, 7, and 9 with a 250 mg L−1 dose. The MHC removed almost 91.05 % of As at pH 5.0, and BPC removed almost 86.67 % of …
Railroad Track And Wheel Defect Detection With Onboard Condition Monitoring System, Jeffery Pams, Constantine Tarawneh, Joe Montoya, Brent Wilson, Lee Cantu, Hashem Alkhaldi
Railroad Track And Wheel Defect Detection With Onboard Condition Monitoring System, Jeffery Pams, Constantine Tarawneh, Joe Montoya, Brent Wilson, Lee Cantu, Hashem Alkhaldi
Mechanical Engineering Faculty Publications
In the railroad industry, it was estimated by the Federal Railroad Administration’s (FRA) Office of Safety Analysis that over 1,000 train derailments occur every year in the United States, with a significant amount being caused by mechanical failures such as defects within the wheels and tracks. The use of wireless onboard health monitoring technologies as opposed to wayside detection systems has been receiving a lot of attention considering recent catastrophic derailments. Through research, development, and implementation of onboard condition monitoring systems by the University Transportation Center for Railway Safety (UTCRS) and HUM Industrial Technology, Inc., a promising method to detect …