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Operations Research, Systems Engineering and Industrial Engineering Commons™
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Articles 61 - 83 of 83
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Potential Production Of Theranostic Boron Nitride Nanotubes (64cu-Bnnts) Radiolabeled By Neutron Capture, Wellington Marcos Silva, Helio Ribeiro, Jaime Taha-Tijerina
Potential Production Of Theranostic Boron Nitride Nanotubes (64cu-Bnnts) Radiolabeled By Neutron Capture, Wellington Marcos Silva, Helio Ribeiro, Jaime Taha-Tijerina
Manufacturing & Industrial Engineering Faculty Publications
In this work, the radioisotope 64Cu was obtained from copper (II) chloride dihydrate in a nuclear research reactor by neutron capture, (63Cu(n, )64Cu), and incorporated into boron nitride nanotubes (BNNTs) using a solvothermal process. The produced 64Cu-BNNTs were analyzed by TEM, MEV, FTIR, XDR, XPS and gamma spectrometry, with which it was possible to observe the formation of64Cu nanoparticles, with sizes of up to 16 nm, distributed through nanotubes. The synthesized of 64Cu nanostructures showed a pure photoemission peak of 511 keV, which is characteristic of gamma radiation. This type of emission is desirable for Photon Emission Tomography (PET scan) …
El Español En Estados Unidos Como Recurso Para La Educación De Hispanos En Ingeniería, Hiram Moya
El Español En Estados Unidos Como Recurso Para La Educación De Hispanos En Ingeniería, Hiram Moya
Manufacturing & Industrial Engineering Faculty Publications
Los Hispanos representan la más grande minoría en Estados Unidos. Sin embargo, el número de estudiantes hispanos en las carreras de ciencias y en particular en ingeniería ha estado subrepresentada por muchos años. Esta falta de representación ha hecho que se estudie de muchas formas los métodos de reclutar y retener y graduar estudiantes hispanos en ingeniería. Sin embargo, la urgencia continúa. Existen muchos retos para mejorar la participación de hispanos en ingeniería, incluyendo la falta costumbre en preguntar o solicitar ayuda, los retos económicos, y la falta de ejemplos a seguir en la facultad. Dado los retos, este artículo …
Direct Selective Laser Synthesis Of Cucrfenitial High Entropy Alloy From Elemental Powders Through Selective Laser Melting, Joni Dhar, Lazaro Lopez, Shanshan Zhang, Ben Xu, Mohammed Jasim Uddin, Jianzhi Li
Direct Selective Laser Synthesis Of Cucrfenitial High Entropy Alloy From Elemental Powders Through Selective Laser Melting, Joni Dhar, Lazaro Lopez, Shanshan Zhang, Ben Xu, Mohammed Jasim Uddin, Jianzhi Li
Manufacturing & Industrial Engineering Faculty Publications
This study investigated the synthesis of CuCrFeNiTiAl high entropy alloy (HEA) from pure elements using selective laser melting (SLM). The objectives are to validate the feasibility of the HEA fabrication from elemental powder materials, and to examine the effect of various process conditions in SLM, such as laser power, point distance and laser exposure time, on the microstructures formed. The as-built samples under high, medium and low energy densities were characterized by X-ray diffraction (XRD), and the microstructures were observed using scanning electron microscopy (SEM). The XRD results showed that five major crystal structure phases (hexagonal, monoclinic, orthorhombic, body-centered cubic …
Machine Learning Model Optimization With Hyper Parameter Tuning Approach, Md. Riyad Hossain, Douglas Timmer
Machine Learning Model Optimization With Hyper Parameter Tuning Approach, Md. Riyad Hossain, Douglas Timmer
Manufacturing & Industrial Engineering Faculty Publications
Hyper-parameters tuning is a key step to find the optimal machine learning parameters. Determining the best hyper-parameters takes a good deal of time, especially when the objective functions are costly to determine, or a large number of parameters are required to be tuned. In contrast to the conventional machine learning algorithms, Neural Network requires tuning hyperparameters more because it has to process a lot of parameters together, and depending on the fine tuning, the accuracy of the model can be varied in between 25%-90%. A few of the most effective techniques for tuning hyper-parameters in the Deep learning methods are: …
Improvement Of Light Intensity And Efficiency Of N-Zno/Nio/P-Gan Heterojunction-Based White Light Emitting Diodes Using Micro-/Nanolens Array, Apurba Adhikary, Md Shamim Ahsan, Md Mahbub Hossain, Md Bipul Hossain, S. H. Shah Newaz, Farid Ahmed, Ik-Bu Sohn
Improvement Of Light Intensity And Efficiency Of N-Zno/Nio/P-Gan Heterojunction-Based White Light Emitting Diodes Using Micro-/Nanolens Array, Apurba Adhikary, Md Shamim Ahsan, Md Mahbub Hossain, Md Bipul Hossain, S. H. Shah Newaz, Farid Ahmed, Ik-Bu Sohn
Manufacturing & Industrial Engineering Faculty Publications
Our study proposes a technique to enhance light extraction efficiency of light emitting diodes (LEDs) by incorporating various micro-/nanolens arrays (MNLAs) on the substrate layer, which in turn increases the external quantum efficiency (EQE) of the LEDs. To simulate the LEDs, we utilized the finite difference time domain method. To achieve a white LED, we inserted a thin layer of NiO at the interface between the n-type ZnO and the p-type GaN. The basic n-ZnO/NiO/p-GaN heterojunction-based LED exhibited an EQE of 10.99% where the effective refractive index of the LED structure was 1.48. The EQE was further increased by engraving …
Grow Local Manufacturing Along Us/Mexico Border Region For An Integrated Supply Chain In The Post Covid-19 Era, Jianzhi Li
Manufacturing & Industrial Engineering Faculty Publications
The current coronavirus disease pandemic, plus the strong movement of manufacturing reshoring, provide a unique opportunity for many US regions to grow local manufacturers. This technical note attempts to review the current situation and trend in US manufacturing. We then discuss challenges and necessary steps, such as asset mapping, required to grow local suppliers. Suggestions are then made to support growing local suppliers along the US/Mexico border region.
Characterization And Performance Of Minimum Quantity Lubricants In Through-Tool Drilling, Amla Patil, Jay Raval, Tim Bangma, Immanuel Edinbarough, Bruce Tai, David Stephenson, Suleiman Obeidat, Wayne Nguyen Hung
Characterization And Performance Of Minimum Quantity Lubricants In Through-Tool Drilling, Amla Patil, Jay Raval, Tim Bangma, Immanuel Edinbarough, Bruce Tai, David Stephenson, Suleiman Obeidat, Wayne Nguyen Hung
Manufacturing & Industrial Engineering Faculty Publications
This study characterized airborne microdroplet diameters and size distribution from two commercially available lubricants A and B for internal minimum quantity lubrication (MQL). The effects of air pressure, oil channel size, physical properties of lubricants on the resultant microdroplets and through-tool MQL drilling performance were studied. Airborne microdroplet diameters were highly sensitive to the coolant channel sizes and air pressure. Cluster method was used to divide microdroplets into smaller clusters for comparison. Experimental data show that the average airborne microdroplet of lubricant B was larger than that of lubricant A at different air pressures and channel sizes. The contact angle …
Application Of Optimized Laser Surface Re-Melting Process On Selective Laser Melted 316l Stainless Steel Inclined Parts, Jafar Ghorbani, Jianzhi Li, Anil K. Srivastava
Application Of Optimized Laser Surface Re-Melting Process On Selective Laser Melted 316l Stainless Steel Inclined Parts, Jafar Ghorbani, Jianzhi Li, Anil K. Srivastava
Manufacturing & Industrial Engineering Faculty Publications
Lower surface quality of selective laser melting (SLM) manufactured parts remains to be a key shortcoming particularly for high performance functional components. In this paper, the authors utilized Box–Behnken methodology to explore the effect of laser surface re-melting process parameters. The process parameters are:laser power, laser exposure time, laser point distance, and shell layer thickness. The experiments were conducted using Renishaw AM-250 machine. SLM manufactured parts with inclination of 45˚ up-skin were treated with a given surface roughness using laser surface re-melting (LSR). The optimization of process parameters was conducted using response surface methodology and the validation tests was carried …
Embedding Computer Simulation Based Classroom Activities To Enhance The Learning Experience For Manufacturing Systems, Tzu-Liang Bill Tseng, Md Fashiar Rahman, Richard Chiou, Ivan Arturo Renteria-Marquez, Aditya Akundi, Amit J. Lopes, Jeevarathinam Senthilkumar
Embedding Computer Simulation Based Classroom Activities To Enhance The Learning Experience For Manufacturing Systems, Tzu-Liang Bill Tseng, Md Fashiar Rahman, Richard Chiou, Ivan Arturo Renteria-Marquez, Aditya Akundi, Amit J. Lopes, Jeevarathinam Senthilkumar
Manufacturing & Industrial Engineering Faculty Publications
In recent time, manufacturing environment are bracing higher end technologies to achieve high productivity, efficiency and effectiveness. Due to the adoption of the sophisticated technologies, the system is becoming very complex and stochastic. Moreover, the manufacturing system is interconnected among its different subsystems and components, which cannot be described only through the theoretical explanation. Here, computer simulation can be integrated to design and visualize the stochastic and complex system. This paper uses the advantage of simulation to describe a series classroom activity using SIMIO software, which are deployed in industrial systems simulation course in the University of Texas at El …
Thermal Conductivity Performance Of 2d Hbn/Mos 2/Hybrid Nanostructures Used On Natural And Synthetic Esters, Jaime Taha-Tijerina, Hélio Ribeiro, Karla Aviña, Juan Manuel Martínez, Anna Paula Godoy, Josué Marciano De Oliveira Cremonezzi, Milene Adriane Luciano, Marcos Antônio Gimenes Benega, Ricardo Jorge Espanhol Andrade, Guilhermino José Macedo Fechine
Thermal Conductivity Performance Of 2d Hbn/Mos 2/Hybrid Nanostructures Used On Natural And Synthetic Esters, Jaime Taha-Tijerina, Hélio Ribeiro, Karla Aviña, Juan Manuel Martínez, Anna Paula Godoy, Josué Marciano De Oliveira Cremonezzi, Milene Adriane Luciano, Marcos Antônio Gimenes Benega, Ricardo Jorge Espanhol Andrade, Guilhermino José Macedo Fechine
Manufacturing & Industrial Engineering Faculty Publications
In this paper, the thermal conductivity behavior of synthetic and natural esters reinforced with 2D nanostructures-single hexagonal boron nitride (h-BN), single molybdenum disulfide (MoS2), and hybrid h-BN/MOS2-were studied and compared to each other. As a basis for the synthesis of nanofluids, three biodegradable insulating lubricants were used: FR3TM and VG-100 were used as natural esters and MIDEL 7131 as a synthetic ester. Two-dimensional nanosheets of h-BN, MoS2, and their hybrid nanofillers (50/50 ratio percent) were incorporated into matrix lubricants without surfactants or additives. Nanofluids were prepared at 0.01, 0.05, 0.10, 0.15, and 0.25 weight percent of filler fraction. The experimental …
Rapid Manufacturing Of Critical Industrial Parts: A Method Based On Reverse Engineering, Rapid Prototyping, And Coordinate Metrology, Immanuel Edinbarough, Aditya Akundi
Rapid Manufacturing Of Critical Industrial Parts: A Method Based On Reverse Engineering, Rapid Prototyping, And Coordinate Metrology, Immanuel Edinbarough, Aditya Akundi
Manufacturing & Industrial Engineering Faculty Publications
This paper presents a method of rapidly manufacturing industrial parts that are critical to the production. In order to assist the Advanced Manufacturing industry, a senior project team at the University of Texas Rio Grande Valley (UTRGV) applied Rapid Manufacturing (RM) to manufacture or fabricate critical machine parts used to maintain production machines. Failures of parts and tools in industrial settings cost money and hurt output. Usually, the problem arises when the tooling being used is one of a kind and repair or replacements come with long leadtimes. Other problems are encountered when original part or tool engineering drawing is …
Text Mining-Based Qualitative Student Assessment Of Interactive Simulation Learning Using Simio Tool – A Work In Progress, Aditya Akundi, Immanuel Edinbarough
Text Mining-Based Qualitative Student Assessment Of Interactive Simulation Learning Using Simio Tool – A Work In Progress, Aditya Akundi, Immanuel Edinbarough
Manufacturing & Industrial Engineering Faculty Publications
Computer simulations complement and extend the real-world components of industries and manufacturing organizations. Teaching simulation-based tools helps students in modeling and analyzing the behavior of real time systems. With the increased demand observed in products and technology consumption, manufacturing industries are evolving to embrace new technologies and initiatives. To keep the emerging workforce technically competent in current tools to understand and interpret manufacturing processes, this paper portrays an effort by the authors in introducing SIMIO i.e. a tool on Simulation of intelligent objects to undergraduate students at University of Texas Rio Grande Valley and in understanding the influence of using …
Expanding Engineering And Technology Opportunities To Students In The Border Region Through International Collaboration, Jesus A. Gonzalez-Rodriguez, Immanuel Edinbarough, Adriana Rios-Santiago, Anabel Pineda-Briseno
Expanding Engineering And Technology Opportunities To Students In The Border Region Through International Collaboration, Jesus A. Gonzalez-Rodriguez, Immanuel Edinbarough, Adriana Rios-Santiago, Anabel Pineda-Briseno
Manufacturing & Industrial Engineering Faculty Publications
Expanding Engineering and Technology Opportunities to Students in the Border Region through International Collaboration
For some years now, our Department of Engineering Technology of the XXXX, has collaborated with Universities across the southern border to carry out different activities such as undergraduate research, collaborative course-based projects, and senior design projects. We have observed how students benefit from being exposed to work in multidisciplinary and multicultural teams.
We now expand this form of work to a higher-level research collaboration where students and faculty from four different institutions participate. Two institutions of higher education in Mexico and a University and a Community …
Smart Environments For Assisted Living: A Multidisciplinary Collaboration In Engineering And Architecture Education, Adriana Rios-Santiago, Anabel Pineda-Briseno, Jesus A. Gonzalez-Rodriguez, Uriel Saul Huerta
Smart Environments For Assisted Living: A Multidisciplinary Collaboration In Engineering And Architecture Education, Adriana Rios-Santiago, Anabel Pineda-Briseno, Jesus A. Gonzalez-Rodriguez, Uriel Saul Huerta
Manufacturing & Industrial Engineering Faculty Publications
This paper presents a description of a collaborative project based on the integration of technology development in the built environment for assisted living. The multidisciplinary collaboration is developed as a cooperative commitment to provide support for cross-border, collective projects. It was initiated as a project-based learning setting between undergraduate engineering students, and four years later the program shifted to include undergraduate architecture students and engineering master’s students. The learning experience opens the gate to a completely new collaborative setting, yet to be established, independent from its predecessor setting of project-based learning, focusing now towards an interdisciplinarity setting in cross-border collaboration. …
Hollow-Core Photonic Crystal Fiber Mach–Zehnder Interferometer For Gas Sensing, Kaveh Nazeri, Farid Ahmed, Vahid Ahsani, Hang-Eun Joe, Colin Bradley, Ehsan Toyserkani, Martin B. G. Jun
Hollow-Core Photonic Crystal Fiber Mach–Zehnder Interferometer For Gas Sensing, Kaveh Nazeri, Farid Ahmed, Vahid Ahsani, Hang-Eun Joe, Colin Bradley, Ehsan Toyserkani, Martin B. G. Jun
Manufacturing & Industrial Engineering Faculty Publications
A novel and compact interferometric refractive index (RI) point sensor is developed using hollow-core photonic crystal fiber (HC-PCF) and experimentally demonstrated for high sensitivity detection and measurement of pure gases. To construct the device, the sensing element fiber (HC-PCF) was placed between two single-mode fibers with airgaps at each side. Great measurement repeatability was shown in the cyclic test for the detection of various gases. The RI sensitivity of 4629 nm/RIU was demonstrated in the RI range of 1.0000347–1.000436 for the sensor with an HC-PCF length of 3.3 mm. The sensitivity of the proposed Mach–Zehnder interferometer (MZI) sensor increases when …
Effects Of Chemically Assisted Magnetic Abrasive Finishing Process Parameters On Material Removal Of Inconel 625 Tubes, Gurpreet Singh, Harish Kumar, Harmesh Kumar Kansal, Anil K. Srivastava
Effects Of Chemically Assisted Magnetic Abrasive Finishing Process Parameters On Material Removal Of Inconel 625 Tubes, Gurpreet Singh, Harish Kumar, Harmesh Kumar Kansal, Anil K. Srivastava
Manufacturing & Industrial Engineering Faculty Publications
With technological developments in manufacturing fields, many advanced materials and alloys have been introduced to fulfill industrial requirements. One of such type of advanced materials, Inconel 625 possesses superior materialistic properties and finds number of industrial applications in Aerospace, Marine, Petro-chemical and Solar power stations etc. However, machining and finishing of Inconel 625 components are still remain difficult tasks to deals with. A recently developed finishing process: Magnetic Abrasive Finishing (MAF) process has been experimented to finish Inconel 625 surfaces but this process is not much effective to finish and machine Inconel 625 work surfaces. In present work, Chemically assisted …
A Hybrid Physical Model Based Artificial Neural Network Approach To Predict Surface Texture In The Honing Of Engine Cylinder Bore, Burhan Afzel, Xueping Zhang, Anil K. Srivastava
A Hybrid Physical Model Based Artificial Neural Network Approach To Predict Surface Texture In The Honing Of Engine Cylinder Bore, Burhan Afzel, Xueping Zhang, Anil K. Srivastava
Manufacturing & Industrial Engineering Faculty Publications
This study proposes a hybrid model that utilizes a physical model and Artificial Neural Networks (ANN) approach to predict surface roughness during cylinder bore honing with an improved prediction efficiency of 90% compared to the standalone physical model. As a critical component of internal combustion engine technology, improvement in the surface roughness of cylinder bore can significantly reduce friction, wear and oil consumption, resulting in improved engine performance. Desired surface roughness in cylinder bore is imparted by honing, which serves as the terminal process in cylinder bore manufacturing. The cylinder bore honing process consists of rough honing, fine honing, and …
Zinc Ferrite Based Gas Sensors: A Review, Kaidi Wu, Jianzhi Li, Chao Zhang
Zinc Ferrite Based Gas Sensors: A Review, Kaidi Wu, Jianzhi Li, Chao Zhang
Manufacturing & Industrial Engineering Faculty Publications
Flammable, explosive and toxic gases, such as hydrogen, hydrogen sulfide and volatile organic compounds vapor, are major threats to the ecological environment safety and human health. Among the available technologies, gas sensing is a vital component, and has been widely studied in literature for early detection and warning. As a metal oxide semiconductor, zinc ferrite (ZnFe2O4) represents a kind of promising gas sensing material with a spinel structure, which also shows a fine gas sensing performance to reducing gases. Due to its great potentials and widespread applications, this article is intended to provide a review on the latest development in …
4-D Printing Of Pressure Sensors And Energy Harvesting Devices For Engineering Education, Tzu-Liang Bill Tseng, Aditya Akundi, Hoejin Kim
4-D Printing Of Pressure Sensors And Energy Harvesting Devices For Engineering Education, Tzu-Liang Bill Tseng, Aditya Akundi, Hoejin Kim
Manufacturing & Industrial Engineering Faculty Publications
This paper elaborates on the development of laboratory project modules in the Industrial manufacturing and systems engineering department at The University of Texas El Paso based on Four-Dimensional (4D) printing technology. These modules are aimed at introducing the students to interdisciplinary manufacturing and emerging dimensions in manufacturing technology. 4D printing is a new dimension in additive manufacturing wherein, the 3D printed structures react to the change of parameters within the environment such as temperature, and humidity, resulting in shape change or in functionality such as electricity output, and self-healing. Recently 4D printing of simple devices for pressure sensors application were …
Models For The Residual Life Of Railroad Bearing Grease In Laboratory And Industry Applications, Douglas Timmer, Constantine Tarawneh, Robert Jones
Models For The Residual Life Of Railroad Bearing Grease In Laboratory And Industry Applications, Douglas Timmer, Constantine Tarawneh, Robert Jones
Manufacturing & Industrial Engineering Faculty Publications
Adequate lubrication in railroad bearings is crucial to the safe operation of these components. An investigation of the residual life of railroad bearing grease was conducted in a laboratory setting. The data was collected using a split-split-plot design of experiments. The Oxidation Induction Time (OIT), which is the time required for the remaining antioxidants in a sample of grease to be consumed in a test, is the response variable for this study. Low values of OIT indicate small remaining amounts of antioxidants in the grease and thus small remaining residual life in the grease. OIT measurements were made using differential …
Parametric Investigations Into Internal Surface Modification Of Brass Tubes With Alternating Magnetic Field, Harish Kumar, Sehijpal Singh, Anil K. Srivastava
Parametric Investigations Into Internal Surface Modification Of Brass Tubes With Alternating Magnetic Field, Harish Kumar, Sehijpal Singh, Anil K. Srivastava
Manufacturing & Industrial Engineering Faculty Publications
The final finish operations have great significance in an overall manufacturing cycle of a product. The surface finishing and modification of surfaces have been the vital requirements of most of the products. The processes like shot peening, shot blasting, abrasive finishing and super finishing are being largely employed for such requirements. While final finishing of flat and outside surfaces are relatively easy and well established, the internal surfaces such as those of pipes is not so simple. In this paper, the application of low frequency alternative magnetic field has been explored for imparting surface modification including surface on the internal …
Creating A Seamless Pipeline Into Undergraduate Programs In Stem Fields Through Region-Wide Articulation Agreements, Immanuel Edinbarough, Mikhail M. Bouniaev, Bill W. Elliott
Creating A Seamless Pipeline Into Undergraduate Programs In Stem Fields Through Region-Wide Articulation Agreements, Immanuel Edinbarough, Mikhail M. Bouniaev, Bill W. Elliott
Manufacturing & Industrial Engineering Faculty Publications
Underrepresented minority students pursue science, technology, engineering, and mathematics (STEM) related degrees at much lower rates compared to other segments of the population. To attract minority students, schools with STEM programs have resorted to myriad strategies such as cohorts, scholarships, mentoring, summer bridges, etc. Some schools have also sought innovative ways to develop a pipeline for graduates of two-year technical degree programs to matriculate into their four-year STEM programs and complete the remaining coursework leading to a BAT or BS degree. The University of Texas at Brownsville (UTB) has adopted this latter innovative approach to increasing student enrollment in STEM …
Droplet Spray Behavior Of An Atomization-Based Cutting Fluid (Acf) System For Machining Of Titanium Alloys, Chandra Nath, Shiv G. Kapoor, Anil K. Srivastava, Jon Iverson
Droplet Spray Behavior Of An Atomization-Based Cutting Fluid (Acf) System For Machining Of Titanium Alloys, Chandra Nath, Shiv G. Kapoor, Anil K. Srivastava, Jon Iverson
Manufacturing & Industrial Engineering Faculty Publications
The aim of this research is to study droplet spray characteristics of an atomization-based cutting fluid (ACF) spray system including droplet entrainment angle and flow development regions with respect to three ACF spray parameters, viz., droplet and gas velocities, and spray distance. ACF spray experiments are performed by varying droplet and gas velocities. The flow development behavior is studied by modeling the droplets entrainment mechanism, and the density and distribution of the droplets across the jet flare. Machining experiments are also performed in order to understand the effect of the droplet spray behavior on the machining performances, viz., tool life/wear, …