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Articles 2191 - 2220 of 53022
Full-Text Articles in Entire DC Network
Open Accessarticle Crystal Plasticity Modeling Of Dislocation Density Evolution In Cellular Dislocation Structures, Md Mahabubur Rohoman, Caizhi Zhou
Open Accessarticle Crystal Plasticity Modeling Of Dislocation Density Evolution In Cellular Dislocation Structures, Md Mahabubur Rohoman, Caizhi Zhou
Faculty Publications
The complex thermal cycles during the solidification process in metal additive manufacturing (AM) lead to the formation of high-density dislocation networks, organizing into submicron-scale cellular structures. These ultrafine structures are recognized as crucial for enhancing the mechanical properties of AM metals. In this study, we investigate the evolution of dislocation density within these cellular structures under plastic deformation and its impact on mechanical response using dislocation density-based crystal plasticity finite element (CPFE) modeling. The model incorporates the evolution of both statistically stored dislocation (SSD) and geometrically necessary dislocation (GND). Our simulations reveal that the yield and flow stresses of dislocation …
Exploring Credit Loss For Engineering Transfer Students, Amy J. Richardson, David B. Knight
Exploring Credit Loss For Engineering Transfer Students, Amy J. Richardson, David B. Knight
Inquiry: The Journal of the Virginia Community Colleges
One of the issues at the heart of transfer is the mobility of credits across institutions—moving credits from one institution to another is a crucial process for the transfer pathway to be a viable option. Credit loss is a critical issue for transfer students enrolled in highly sequential degrees, such as engineering. A student could be set back a year or more if they miss one required prerequisite course at the time of transfer. Determining who experiences credit loss in engineering could help ease the transfer process, improve graduation rates, and broaden participation in engineering since the transfer pathway has …
Reconstruction From Variable Aperture Measurements Using Band-Limited Inversion Algorithms, Harrison C. Garrett
Reconstruction From Variable Aperture Measurements Using Band-Limited Inversion Algorithms, Harrison C. Garrett
Theses and Dissertations
The signal reconstruction process from discrete samples is inherently band-limited due to the limited amount of spectral content in the discrete set of measurements. In the case of 1D sampling using ideal measurements, the maximum bandwidth of regular and irregular sampling is well known using Nyquist and Gröchenig sampling theorems and lemmas, respectively. However, determining the appropriate reconstruction bandwidth becomes difficult when considering 2D sampling geometries, samples with variable apertures, or signal to noise ratio limitations. Instead of determining the maximum bandwidth a priori, this thesis introduces the use of a bandlimited inverse to simultaneously reconstruct a signal and determine …
Fabrication Of Ultra High-Temperature Compact Heat Exchanger By Extrusion-Based Ceramic Additive Manufacturing, Abid Hasan Rafi, David W. Lipke, Jeremy Lee Watts, Greg Hilmas, Ming-Chuan Leu
Fabrication Of Ultra High-Temperature Compact Heat Exchanger By Extrusion-Based Ceramic Additive Manufacturing, Abid Hasan Rafi, David W. Lipke, Jeremy Lee Watts, Greg Hilmas, Ming-Chuan Leu
Miners Solving for Tomorrow Research Conference
No abstract provided.
Effects Of The Sintering Process On Additively Manufactured Copper Projectiles, Avery Lyons, William Petzoldt, Phillip R. Mulligan
Effects Of The Sintering Process On Additively Manufactured Copper Projectiles, Avery Lyons, William Petzoldt, Phillip R. Mulligan
Miners Solving for Tomorrow Research Conference
No abstract provided.
Cascaded Hydropower Plant Optimization Using A Bi-Level Mixed Integer Model, Ahmad Heidari, Rui Bo
Cascaded Hydropower Plant Optimization Using A Bi-Level Mixed Integer Model, Ahmad Heidari, Rui Bo
Miners Solving for Tomorrow Research Conference
No abstract provided.
Multidisciplinary Design Optimization Of A Notional Cubesat Mission, Collin Gentry
Multidisciplinary Design Optimization Of A Notional Cubesat Mission, Collin Gentry
Miners Solving for Tomorrow Research Conference
No abstract provided.
Development Of Intelligent Robot Assistance In Mining (Iram), Khosro Ghorbani Zadeh, Yun Seong Song
Development Of Intelligent Robot Assistance In Mining (Iram), Khosro Ghorbani Zadeh, Yun Seong Song
Miners Solving for Tomorrow Research Conference
No abstract provided.
Additive Manufacturing Of Thermoplastic Composites, Matik Heskin, K. Chandrashekhara, Richard Billo, Ming-Chuan Leu, Thomas P. Schuman
Additive Manufacturing Of Thermoplastic Composites, Matik Heskin, K. Chandrashekhara, Richard Billo, Ming-Chuan Leu, Thomas P. Schuman
Miners Solving for Tomorrow Research Conference
No abstract provided.
Neural Network-Based Renewal Reward Theory (Rrt) For Optimal Maintenance Scheduling, Samiksha Aryal, Abhijit Gosavi, Susan L. Murray
Neural Network-Based Renewal Reward Theory (Rrt) For Optimal Maintenance Scheduling, Samiksha Aryal, Abhijit Gosavi, Susan L. Murray
Miners Solving for Tomorrow Research Conference
No abstract provided.
Physical Characterization Of Copper Anode Slimes, Carter Glynn, Michael S. Moats
Physical Characterization Of Copper Anode Slimes, Carter Glynn, Michael S. Moats
Miners Solving for Tomorrow Research Conference
No abstract provided.
Extreme Fast Charging Algorithm For Lithium-Ion Batteries With Precision Lithium Plating Regulation For Degradation Reduction, Kiernan O'Boyle, Yaqi Zhu, Jonghyun Park
Extreme Fast Charging Algorithm For Lithium-Ion Batteries With Precision Lithium Plating Regulation For Degradation Reduction, Kiernan O'Boyle, Yaqi Zhu, Jonghyun Park
Miners Solving for Tomorrow Research Conference
No abstract provided.
Sustainable Solutions To Eutrophication: The Role Of Glass Fertilizers, Lucas Greiner, Charmayne Lonergan
Sustainable Solutions To Eutrophication: The Role Of Glass Fertilizers, Lucas Greiner, Charmayne Lonergan
Miners Solving for Tomorrow Research Conference
No abstract provided.
Electrospun Rgo-Pan Filters For High-Performance Removal Of Respirable Silica And Coal Dust, Mahsa Moradi, Ashish Kakoria, Guang Xu
Electrospun Rgo-Pan Filters For High-Performance Removal Of Respirable Silica And Coal Dust, Mahsa Moradi, Ashish Kakoria, Guang Xu
Miners Solving for Tomorrow Research Conference
No abstract provided.
Image-Based Stage Prediction Of Pressure Injuries Using Deep Learning, Mehedi Tusar, Fateme Fayyazbakhsh, Ming-Chuan Leu
Image-Based Stage Prediction Of Pressure Injuries Using Deep Learning, Mehedi Tusar, Fateme Fayyazbakhsh, Ming-Chuan Leu
Miners Solving for Tomorrow Research Conference
No abstract provided.
Sources Of Tensions In Ai Adoption For Organ Procurement Organizations, Amaneh Babaee, Grace Hall, Daniel Burton Shank, Casey I. Canfield
Sources Of Tensions In Ai Adoption For Organ Procurement Organizations, Amaneh Babaee, Grace Hall, Daniel Burton Shank, Casey I. Canfield
Miners Solving for Tomorrow Research Conference
No abstract provided.
Fast Penetration Test As An In-Situ Method For Assessing Buildability In 3d Concrete Printing, Ali Fasihi, Nicolas Ali Libre
Fast Penetration Test As An In-Situ Method For Assessing Buildability In 3d Concrete Printing, Ali Fasihi, Nicolas Ali Libre
Miners Solving for Tomorrow Research Conference
No abstract provided.
Microstructural Evolution Of High-Entropy Carbide Ceramics, Elizabeth Pritchett, William Fahrenholtz, Greg Hilmas, Steven Smith
Microstructural Evolution Of High-Entropy Carbide Ceramics, Elizabeth Pritchett, William Fahrenholtz, Greg Hilmas, Steven Smith
Miners Solving for Tomorrow Research Conference
No abstract provided.
Prediction Of Undrained Shear Strength From Towed-Tem Resistivity Attributes Using Machine Learning Techniques, Kolawole Arowoogun, Katherine R. Grote, Jeremy Maurer
Prediction Of Undrained Shear Strength From Towed-Tem Resistivity Attributes Using Machine Learning Techniques, Kolawole Arowoogun, Katherine R. Grote, Jeremy Maurer
Miners Solving for Tomorrow Research Conference
No abstract provided.
A Risk Assessment Method For Lithium Ion Batteries Fire Hazards In Underground Mines, Syed Talha Riaz, Aamir Iqbal, Ashish Kakoria, Guang Xu
A Risk Assessment Method For Lithium Ion Batteries Fire Hazards In Underground Mines, Syed Talha Riaz, Aamir Iqbal, Ashish Kakoria, Guang Xu
Miners Solving for Tomorrow Research Conference
No abstract provided.
How Do Human And Ai Gender Bias Interact In Hiring Decisions?, Eyuel Getahun, Daniel Burton Shank, Casey I. Canfield, Jessica L. Cundiff, Jenny Davis, Celia Freed
How Do Human And Ai Gender Bias Interact In Hiring Decisions?, Eyuel Getahun, Daniel Burton Shank, Casey I. Canfield, Jessica L. Cundiff, Jenny Davis, Celia Freed
Miners Solving for Tomorrow Research Conference
No abstract provided.
Digital Fabrication With Fiber-Reinforced Concrete, Haodao Li, Kamal H. Khayat
Digital Fabrication With Fiber-Reinforced Concrete, Haodao Li, Kamal H. Khayat
Miners Solving for Tomorrow Research Conference
No abstract provided.
Enhancing Co₂ Sweep And Storage Efficiency: Development And Evaluation Of A Hydrogel For Co₂ Storage And Enhanced Oil Recovery, Maryaam Sharifi Paroushi, Baojun Bai
Enhancing Co₂ Sweep And Storage Efficiency: Development And Evaluation Of A Hydrogel For Co₂ Storage And Enhanced Oil Recovery, Maryaam Sharifi Paroushi, Baojun Bai
Miners Solving for Tomorrow Research Conference
No abstract provided.
Polymerization Methods For Vinyl Phosphonate Monomers: Challenges And Perspectives, Sara Mccauley
Polymerization Methods For Vinyl Phosphonate Monomers: Challenges And Perspectives, Sara Mccauley
Miners Solving for Tomorrow Research Conference
No abstract provided.
Maldi-Mass Spectrometry Imaging To Investigate Distribution Of Per- And Polyfluoroalkyl Substances In Exposed Poplar Tissues, Tonglin Zhou, Varuni Abhayarayne, Joseph Akor, Honglan Shi, Paul Ki-Souk Nam, Joel Gerard Burken, John Yang
Maldi-Mass Spectrometry Imaging To Investigate Distribution Of Per- And Polyfluoroalkyl Substances In Exposed Poplar Tissues, Tonglin Zhou, Varuni Abhayarayne, Joseph Akor, Honglan Shi, Paul Ki-Souk Nam, Joel Gerard Burken, John Yang
Miners Solving for Tomorrow Research Conference
No abstract provided.
Preliminary Assessment Of Non-Volatile Particulate Matter And Gaseous Emissions From A Premixed Pre-Vaporized Combustor Designed For Civil Supersonic Transport, Ugochukwu Ewuzie, Godwin Ifeanyi Ogbuehi, Steven Achterberg, Monday Uchenna Okoronkwo, Philip D. Whitefield
Preliminary Assessment Of Non-Volatile Particulate Matter And Gaseous Emissions From A Premixed Pre-Vaporized Combustor Designed For Civil Supersonic Transport, Ugochukwu Ewuzie, Godwin Ifeanyi Ogbuehi, Steven Achterberg, Monday Uchenna Okoronkwo, Philip D. Whitefield
Miners Solving for Tomorrow Research Conference
No abstract provided.
On The Robustness Of Adaptive Resonance Theory Neural Networks, Shane Cairns, Leonardo Enzo Brito Da Silva, Sasha Petrenko, Donald C. Wunsch
On The Robustness Of Adaptive Resonance Theory Neural Networks, Shane Cairns, Leonardo Enzo Brito Da Silva, Sasha Petrenko, Donald C. Wunsch
Miners Solving for Tomorrow Research Conference
No abstract provided.
Utilization Of Low-Carbon Cementitious Materials In Mine Backfilling, Songtao Zhang, Jun Yao, Pengfei Wu, Xinyu Feng, Jiaxing Ban, Siqi Zhang, Geoffrey Sunahara, Wen Ni
Utilization Of Low-Carbon Cementitious Materials In Mine Backfilling, Songtao Zhang, Jun Yao, Pengfei Wu, Xinyu Feng, Jiaxing Ban, Siqi Zhang, Geoffrey Sunahara, Wen Ni
Miners Solving for Tomorrow Research Conference
No abstract provided.
A Non-Linear Optimization Model For Controlling The Real Area Of Contact In Surface Texture Design, Sandra Eksioglu, Min Zou
A Non-Linear Optimization Model For Controlling The Real Area Of Contact In Surface Texture Design, Sandra Eksioglu, Min Zou
Industrial Engineering Faculty Publications and Presentations
Motivated by the potential of surface texturing to enhance the tribological performance of micro- and nano-electromechanical systems (MEMS/NEMS), this study proposes a novel non-linear optimization approach for designing textured surfaces. This model minimizes the contact area between interacting surfaces and deformation during sliding under dry conditions by controlling key design parameters, such as the size and shape of the designed surface. We test the performance of the proposed model using the lotus leaf surface with dimensions of 248 x 136 micrometers. Due to the large size of the model, we propose a solution approach which consists of a data aggregation …
Empowering Local Water Resources Managers With Global Hydrological Model Information Through Bias Correction Of Their In-Situ Data Using Saber, Yubin Baaniya
Theses and Dissertations
There is an increase in the frequency and intensity of water related natural disasters driven by climate change and human activities. While satellite data provides extensive coverage of many climatic variables, streamflow monitoring remains inadequate for effectively responding to water-related hazards, particularly in developing regions that lack integrated gauge networks. This study evaluates how incorporating local streamflow gauge data enhances bias correction of the GEOGLOWS Hydrologic Model (RFS) in gauged and ungauged basins using the Stream Analysis for Bias Estimation and Reduction (SABER) method. We analyzed approximately 19,200 gauge stations globally, using machine learning, spatial analysis and Flow Duration Curve …