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Articles 91 - 120 of 666
Full-Text Articles in Mechanical Engineering
Theoretical And Numerical Investigation Of An Ultra-Broadband Near-Perfect Absorption In Auxetic Metamaterials, Md. Rezwan Ahmed, Oishi Jyoti,, Ferdous Farjana, Pritu P. Sarkar, Alok Kumar Paul, Md. Samiul Habib
Theoretical And Numerical Investigation Of An Ultra-Broadband Near-Perfect Absorption In Auxetic Metamaterials, Md. Rezwan Ahmed, Oishi Jyoti,, Ferdous Farjana, Pritu P. Sarkar, Alok Kumar Paul, Md. Samiul Habib
Mechanical Engineering Faculty Publications
In this paper, we present and numerically investigate an auxetic metamaterial absorber based on vanadium dioxide (VO2), achieving more than 90% absorption of the incident terahertz (THz) waves between 4.15 THz to 8.43 THz with an average absorption of 98.4%. To our knowledge, the absorption bandwidth is higher than previously reported VO2-based absorbers. The proposed absorber contains two VO2 based resonator rings placed diagonally at the top of the dielectric substrate in such a way as to create an auxetic shape and provide more design space than the existing absorbers. Considering the vector nature of electromagnetic fields in three-dimensional space, …
Enhanced Piezo-Response Of Mixed-Cation Copper Perovskites With Cl/Br Halide Engineering, Amr Elattar, Christopher Munoz, Libor Kobera, Andrii Mahun, Jiri Brus, Mohammed J. Uddin, Yasuhiko Hayashi, Okenwa Okoli, Tarik Dickens
Enhanced Piezo-Response Of Mixed-Cation Copper Perovskites With Cl/Br Halide Engineering, Amr Elattar, Christopher Munoz, Libor Kobera, Andrii Mahun, Jiri Brus, Mohammed J. Uddin, Yasuhiko Hayashi, Okenwa Okoli, Tarik Dickens
Mechanical Engineering Faculty Publications
Halide and cation engineering of organic–inorganic hybrid perovskites has shown a great potential for structural modulation of perovskites and enhancing their optoelectronic properties. Here, we studied the impact of Cl/Br halide engineering on the structural and piezoelectric properties of MA/Cs mixed-cation Cu-perovskite crystals. X-ray diffraction, Raman spectroscopy, and 133Cs solid-state NMR were utilized to find out the nature of the perovskite crystal structure formation. Three distinct crystal structures were obtained depending on the Cl/Br content. High Cl content resulted in the formation of Br-doped (Cs/MA)CuCl3 perovskite with the presence of paramagnetic Cu2+ ions. High Br content led to the formation …
Gaze Tracking Embedded Collaborative Robots For Automated Metrology And Reverse Engineering, Sachithra H. Karunathilake, Md Shahriar Forhad, Zhaohui Geng
Gaze Tracking Embedded Collaborative Robots For Automated Metrology And Reverse Engineering, Sachithra H. Karunathilake, Md Shahriar Forhad, Zhaohui Geng
Manufacturing & Industrial Engineering Faculty Publications
Conventional geometric metrology, or three-dimensional (3D) scanning, and reverse engineering heavily rely on the experience of the operators. With an increasing need for automation, robot arms have been adopted for this task. However, due to the large variety of parts and designs, automated path planning could provide a scanning solution that may overlook the critical area, which could potentially deteriorate the scan results. This article explores the integration of collaborative robotics (cobots) with eye-tracking technology to improve the autonomous 3D scanning process. The primary objective of this study is to enhance the accuracy and efficiency of cobots in 3D scanning, …
Prediction Of Tool Wear And Surface Finish Using Anfis Modelling During Turning Of Carbon Fiber Reinforced Plastic (Cfrp) Composites, Anil K. Srivastava, Md. Mofakkirul Islam
Prediction Of Tool Wear And Surface Finish Using Anfis Modelling During Turning Of Carbon Fiber Reinforced Plastic (Cfrp) Composites, Anil K. Srivastava, Md. Mofakkirul Islam
Manufacturing & Industrial Engineering Faculty Publications
Carbon fiber-reinforced plastics (CFRP) are widely used in various industries due to their high strength to weight ratio, corrosion resistance, durability, and excellent thermo-mechanical properties. The machining of CFRP composites has always been a challenge for the manufacturers. In this study, CNC turning operation with coated carbide tool is used to machine a specific CFRP and the relationship between the cutting parameters (Speed, Feed, Depth of Cut) and response parameters (Vibration, Surface Finish, Cutting Force and Tool Wear) are investigated. An adaptive-network-based fuzzy inference system (ANFIS) model with two multi-input–single-output (MISO) system has been developed to predict the tool wear …
Data-Driven Roughness Estimation Of Additively Manufactured Samples Using Build Angles, Jose Galarza, Jose Barron Jr., Farid Ahmed, Jianzhi Li
Data-Driven Roughness Estimation Of Additively Manufactured Samples Using Build Angles, Jose Galarza, Jose Barron Jr., Farid Ahmed, Jianzhi Li
Manufacturing & Industrial Engineering Faculty Publications
Achieving control of Laser Powder Bed Fusion (L-PBF) over the quality of the print is the main motivation for finding an optimum set of parameters in the process. Surface roughness is one of the characteristics of the print that impacts the performance of the desired functionality. This research focus is to relate the build angle with the surface roughness on the L-PBF printed specimens and utilize machine learning methods for roughness estimation of geometric features with varying build angles. The EOS M290 L-PBF printer was used to print Inconel-718 coupons using standard process parameters while varying build angles from 20 …
Enhancing Resilience In Complex Energy Systems Through Real-Time Anomaly Detection: A Systematic Literature Review, Ali Aghazadeh Ardebili, Oussama Hasidi, Ahmed Bendaouia, Adem Khalil, Sabri Khalil, Dalila Luceri, El Hassan Abdelwahed, Sara Qassimi, Antonio Ficarella
Enhancing Resilience In Complex Energy Systems Through Real-Time Anomaly Detection: A Systematic Literature Review, Ali Aghazadeh Ardebili, Oussama Hasidi, Ahmed Bendaouia, Adem Khalil, Sabri Khalil, Dalila Luceri, El Hassan Abdelwahed, Sara Qassimi, Antonio Ficarella
Manufacturing & Industrial Engineering Faculty Publications
As real-time data sources expand, the need for detecting anomalies in streaming data becomes increasingly critical for cutting edge data-driven applications. Real-time anomaly detection faces various challenges, requiring automated systems that adapt continuously to evolving data patterns due to the impracticality of human intervention. This study focuses on energy systems (ES), critical infrastructures vulnerable to disruptions from natural disasters, cyber attacks, equipment failures, or human errors, leading to power outages, financial losses, and risks to other sectors. Early anomaly detection ensures energy supply continuity, minimizing disruption impacts, an enhancing system resilience against cyber threats. A systematic literature review (SLR) is …
Mannosylated Pamam G2 Dendrimers Mediated Rate Programmed Delivery Of Efavirenz Target Hiv Viral Latency At Reservoirs, Rohini Kharwad, Mohsin Kazi, Nilesh Mahajan, Payal Badole, Sachin More, Asaad Kayali, Md Noushad Javed, Mohammed Kaleem
Mannosylated Pamam G2 Dendrimers Mediated Rate Programmed Delivery Of Efavirenz Target Hiv Viral Latency At Reservoirs, Rohini Kharwad, Mohsin Kazi, Nilesh Mahajan, Payal Badole, Sachin More, Asaad Kayali, Md Noushad Javed, Mohammed Kaleem
Mechanical Engineering Faculty Publications
In this current research, we conceptualized a novel nanotechnology-enabled synthesis approach of targeting HIV-harboring tissues via second-generation (G2) polyamidoamine (PAMAM) mannosylated (MPG2) dendrimers for programmed delivery of anti-HIV drugs efavirenz (EFV) and ritonavir (RTV). Briefly, here mannose served purpose of ligand in this EFV and RTV-loaded PAMAM G2 dendrimers, synthesized by divergent techniques, denoted as MPG2ER. The developed nanocarriers were characterized by different analytical tools FTIR, NMR, zeta potential, particle size, and surface morphology. The results of confocal microscopy showed substantial alterations in the morphology of H9 cells, favored by relatively higher drug uptake through the MPG2ER. Interestingly, the drug …
Quantifying The Aging Of Lithium-Ion Pouch Cells Using Pressure Sensors, Yousof Nayfeh, Jon C. Vittitoe, Xianglin Li
Quantifying The Aging Of Lithium-Ion Pouch Cells Using Pressure Sensors, Yousof Nayfeh, Jon C. Vittitoe, Xianglin Li
Mechanical Engineering Faculty Publications
Understanding the behavior of pressure increases in lithium-ion (Li-ion) cells is essential for prolonging the lifespan of Li-ion battery cells and minimizing the safety risks associated with cell aging. This work investigates the effects of C-rates and temperature on pressure behavior in commercial lithium cobalt oxide (LCO)/graphite pouch cells. The battery is volumetrically constrained, and the mechanical pressure response is measured using a force gauge as the battery is cycled. The effect of the C-rate (1C, 2C, and 3C) and ambient temperature (10 °C, 25 °C, and 40 °C) on the increase in battery pressure is investigated. By analyzing the …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …