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Articles 2581 - 2610 of 13214
Full-Text Articles in Entire DC Network
A Dynamical (E,2e) Investigation Into The Ionization Of The Outermost Orbitals Of R-Carvone, D. B. Jones, E. Ali, C. G. Ning, F. Ferreira Da Silva, O. Ingolfsson, M. C. A. Lopes, H. S. Chakraborty, Don H. Madison, M. J. Brunger
A Dynamical (E,2e) Investigation Into The Ionization Of The Outermost Orbitals Of R-Carvone, D. B. Jones, E. Ali, C. G. Ning, F. Ferreira Da Silva, O. Ingolfsson, M. C. A. Lopes, H. S. Chakraborty, Don H. Madison, M. J. Brunger
Physics Faculty Research & Creative Works
We report an experimental and theoretical investigation into the dynamics of electron-impact ionization of R-carvone. Experimental triple differential cross sections are obtained in asymmetric coplanar kinematic conditions for the ionization of the unresolved combination of the three outermost molecular orbitals (41a-39a) of R-carvone. These cross sections are compared with theoretical cross sections calculated within a molecular 3-body distorted wave (M3DW) framework employing either a proper orientation average or orbital average to account for the random orientation of the molecule probed in the experiment. Here, we observe that the overall scattering behavior observed in the experiment is fairly well reproduced within …
Unconventional Josephson Junctions With Topological Kondo Insulator Weak Links, Xuecheng Ye, Jacob Cook, Erik D. Huemiller, Aaron D. K. Finck, P. K. Ghaemi, Thomas Vojta, For Full List Of Authors, See Publisher's Website.
Unconventional Josephson Junctions With Topological Kondo Insulator Weak Links, Xuecheng Ye, Jacob Cook, Erik D. Huemiller, Aaron D. K. Finck, P. K. Ghaemi, Thomas Vojta, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
Proximity-induced superconductivity in three-dimensional (3D) topological insulators forms a new quantum phase of matter and accommodates exotic quasiparticles such as Majorana bound states. One of the biggest drawbacks of the commonly studied 3D topological insulators is the presence of conducting bulk that obscures both surface states and low energy bound states. Introducing superconductivity in topological Kondo insulators such as SmB6, however, is promising due to their true insulating bulk at low temperatures. In this work, we develop an unconventional Josephson junction by coupling superconducting Nb leads to the surface states of a SmB6 crystal. We observe a robust critical current …
Output-Constrained Control Of Nonaffine Multiagent Systems With Partially Unknown Control Directions, Bo Fan, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun
Output-Constrained Control Of Nonaffine Multiagent Systems With Partially Unknown Control Directions, Bo Fan, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, an output-constrained control algorithm is presented for the consensus control of a class of unknown nonaffine multiagent systems (MASs) with partially unknown control directions. Our contribution includes a step forward beyond the usual consensus stabilization result to show that the outputs of agents remain within user-defined time-varying constraints. To achieve the new results, an error transformation technique is established to generate an equivalent MAS from the original one. Stabilization and consensus of the transformed agent states ensure both the satisfaction of the time-varying constraints and the consensus of the original agent states. Based on the Nussbaum gain …
Correlated Quantum Dynamics Of Two Quenched Fermionic Impurities Immersed In A Bose-Einstein Condensate, Simeon I. Mistakidis, L. Hilbig, P. Schmelcher
Correlated Quantum Dynamics Of Two Quenched Fermionic Impurities Immersed In A Bose-Einstein Condensate, Simeon I. Mistakidis, L. Hilbig, P. Schmelcher
Physics Faculty Research & Creative Works
We Unravel The Nonequilibrium Dynamics Of Two Fermionic Impurities Immersed In A One-Dimensional Bosonic Gas Following An Interspecies Interaction Quench. Monitoring The Temporal Evolution Of The Single-Particle Density Of Each Species We Reveal The Existence Of Four Distinct Dynamical Regimes. For Weak Interspecies Repulsions Both Species Either Perform A Breathing Motion Or The Impurity Density Splits Into Two Parts Which Interact And Disperse Within The Bosonic Cloud. Turning To Strong Interactions We Observe The Formation Of Dark-Bright States Within The Mean-Field Approximation. However, The Correlated Dynamics Shows That The Fermionic Density Splits Into Two Repelling Density Peaks Which Either Travel …
Spontaneous Generation Of Dark-Bright And Dark-Antidark Solitons Upon Quenching A Particle-Imbalanced Bosonic Mixture, H. Kiehn, Simeon I. Mistakidis, Garyfallia C. Katsimiga, P. Schmelcher
Spontaneous Generation Of Dark-Bright And Dark-Antidark Solitons Upon Quenching A Particle-Imbalanced Bosonic Mixture, H. Kiehn, Simeon I. Mistakidis, Garyfallia C. Katsimiga, P. Schmelcher
Physics Faculty Research & Creative Works
We Unveil The Dynamical Formation Of Multiple Localized Structures In The Form Of Dark-Bright And Dark-Antidark Solitary Waves That Emerge Upon Quenching A One-Dimensional Particle-Imbalanced Bose-Bose Mixture. Interspecies Interaction Quenches Drive The System Out Of Equilibrium While The So-Called Miscible-Immiscible Threshold Is Crossed In A Two-Directional Manner. Dark-Bright Entities Are Spontaneously Generated For Quenches Towards The Phase Separated Regime And Dark-Antidark States Are Formed In The Reverse Process. The Distinct Mechanisms Of Creation Of The Aforementioned States Are Discussed In Detail And Their Controlled Generation Is Showcased. In Both Processes, It Is Found That The Number Of Solitary Waves Generated …
Applications Of Supervised Machine Learning Algorithms In Additive Manufacturing: A Review, M. S. Joshi, Aaron Flood, Todd E. Sparks, Frank W. Liou
Applications Of Supervised Machine Learning Algorithms In Additive Manufacturing: A Review, M. S. Joshi, Aaron Flood, Todd E. Sparks, Frank W. Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Additive Manufacturing (AM) simplifies the fabrication of complex geometries. Its scope has rapidly expanded from the fabrication of pre-production visualization models to the manufacturing of end use parts driving the need for better part quality assurance in the additively manufactured parts. Machine learning (ML) is one of the promising techniques that can be used to achieve this goal. Current research in this field includes the use of supervised and unsupervised ML algorithms for quality control and prediction of mechanical properties of AM parts. This paper explores the applications of supervised learning algorithms - Support Vector Machines and Random Forests. Support …
Comparison Of Fatigue Performance Between Additively Manufactured And Wrought 304l Stainless Steel Using A Novel Fatigue Test Setup, M. M. Parvez, Y. Chen, Joseph William Newkirk, Frank W. Liou
Comparison Of Fatigue Performance Between Additively Manufactured And Wrought 304l Stainless Steel Using A Novel Fatigue Test Setup, M. M. Parvez, Y. Chen, Joseph William Newkirk, Frank W. Liou
Materials Science and Engineering Faculty Research & Creative Works
In this research, a novel adaptive controlled fatigue testing machine was designed for bending type high cycle fatigue test. A unique dual gauge section Krouse type mini specimen was designed for simply supported transverse bending. Displacement controlled fatigue tests were implemented using an electromechanical actuator. The variation in the control signal and load observed during the test provides unique insights into realizing the deterioration of the specimen due to fatigue. These analyses were utilized to compare the fatigue performance of wrought and additively manufactured 304L stainless steel. The influence of the build direction on fatigue performance was also investigated by …
An Hdg Method For Dirichlet Boundary Control Of Convection Dominated Diffusion Pdes, Gang Chen, John R. Singler, Yangwen Zhang
An Hdg Method For Dirichlet Boundary Control Of Convection Dominated Diffusion Pdes, Gang Chen, John R. Singler, Yangwen Zhang
Mathematics and Statistics Faculty Research & Creative Works
We first propose a hybridizable discontinuous Galerkin (HDG) method to approximate the solution of a convection dominated Dirichlet boundary control problem without constraints. Dirichlet boundary control problems and convection dominated problems are each very challenging numerically due to solutions with low regularity and sharp layers, respectively. Although there are some numerical analysis works in the literature on diffusion dominated convection diffusion Dirichlet boundary control problems, we are not aware of any existing numerical analysis works for convection dominated boundary control problems. Moreover, the existing numerical analysis techniques for convection dominated PDEs are not directly applicable for the Dirichlet boundary control …
Synchro-Squeezed Adaptive Wavelet Transform And Its Application To Impact Echo Signals For Pavement Defect Detection, Hongya Qu, Titantian Li, Genda Chen
Synchro-Squeezed Adaptive Wavelet Transform And Its Application To Impact Echo Signals For Pavement Defect Detection, Hongya Qu, Titantian Li, Genda Chen
INSPIRE-UTC Annual Meetings
In this study, the recently-proposed adaptive wavelet transform (AWT) and synchro-squeezed adaptive wavelet transform (SSAWT) are introduced with their optimum transformation parameters automatically searched to derive at a desirable time-frequency representation of any dynamic response. The AWT enables the selectivity of time and frequency resolution in a domain of interest and the synchro-squeezing algorithm reduces the dispersion of a scalogram of the AWT, facilitating an accurate extraction of frequency features over time. The effectiveness of AWT is first demonstrated with an illustrative signal of four time segments covering various frequency distribution cases. In comparison with conventional wavelet transform, the AWT …
Dynamical Pruning Of The Non-Equilibrium Quantum Dynamics Of Trapped Ultracold Bosons, F. Köhler, K. Keiler, Simeon I. Mistakidis, H. D. Meyer, P. Schmelcher
Dynamical Pruning Of The Non-Equilibrium Quantum Dynamics Of Trapped Ultracold Bosons, F. Köhler, K. Keiler, Simeon I. Mistakidis, H. D. Meyer, P. Schmelcher
Physics Faculty Research & Creative Works
The Investigation Of The Nonequilibrium Quantum Dynamics Of Bosonic Many-Body Systems Is Very Challenging Due To The Excessively Growing Hilbert Space And Poses A Major Problem For Their Theoretical Description And Simulation. We Present A Novel Dynamical Pruning Approach In The Framework Of The Multiconfiguration Time-Dependent Hartree Method For Bosons (MCTDHB) To Tackle This Issue By Dynamically Detecting The Most Relevant Number States Of The Underlying Physical System And Modifying The Many-Body Hamiltonian Accordingly. We Discuss Two Different Number State Selection Criteria As Well As Two Different Ways To Modify The Hamiltonian. Our Scheme Regularly Re-Evaluates The Number State Selection …
Assessing Moisture Content On The Surface Of Mortar Samples From Hyperspectral Imaging, Liang Fan, Abdullah Alhaj, Hongyan Ma, Genda Chen
Assessing Moisture Content On The Surface Of Mortar Samples From Hyperspectral Imaging, Liang Fan, Abdullah Alhaj, Hongyan Ma, Genda Chen
INSPIRE-UTC Annual Meetings
Hyperspectral imaging represents an electromagnetic spectrum for each pixel in the image of a structural surface. The characteristic wavelength of the spectrum at reflectance valleys or absorption peaks can be used as a spectral feature for certain chemical detection. In this study, spectral reflectance characteristics of mortar samples are extracted to assess the reduction of moisture on the surface of mortar samples during the cement hydration process. The test results indicate that the reflectance increases and the absorbance decreases because water is reacted and less light will be absorbed during the hydration process. The average absorbance between 1923 nm and …
A Genetic Algorithm For Minmax K-Chinese Postman Problem With Applications To Bridge Inspection, Siming Liu, Sushil J. Liu, N. Harris, Hung Manh La
A Genetic Algorithm For Minmax K-Chinese Postman Problem With Applications To Bridge Inspection, Siming Liu, Sushil J. Liu, N. Harris, Hung Manh La
INSPIRE-UTC Annual Meetings
Bridge inspections ensure transportation infrastructure safety and save lives but current manual bridge inspections can be slow and costly. Automated bridge inspection research mitigates these problems and we investigate a multirobot approach to automated bridge inspection by mapping the inspection problem to the well known k-Chinese Postman problem and using multiple robots for faster, more cost-effective, and more standardized bridge inspections. We first show that a genetic algorithm quickly approaches the optimal solution to the 1-postman problem corresponding to a single robot inspecting a bridge. Then, we use the same genetic algorithm to efficiently solve the more difficult, multi-robot, NP-hard, …
9th International Conference On Structural Health Monitoring Of Intelligent Infrastructure (Smhii-9) Conference Program, Smhii-9
INSPIRE-UTC Annual Meetings
No abstract provided.
Chapter 3: Finite Elements For 2d Second Order Elliptic Equation, Xiaoming He
Chapter 3: Finite Elements For 2d Second Order Elliptic Equation, Xiaoming He
AOER Course Materials
No abstract provided.
Probing Surface Characteristics Of Rare Earth Minerals Using Contact Angle Measurements, Atomic Force Microscopy, And Inverse Gas Chromatography, Mostafa Khodakarami, Lana Z. Alagha, Daniel J. Burnett
Probing Surface Characteristics Of Rare Earth Minerals Using Contact Angle Measurements, Atomic Force Microscopy, And Inverse Gas Chromatography, Mostafa Khodakarami, Lana Z. Alagha, Daniel J. Burnett
Mining Engineering Faculty Research & Creative Works
Rare earth minerals (REMs) such as bastnaesite, monazite, and xenotime are of considerable significance since they are the main commercial sources for rare earth elements (REEs) with cutting-edge applications. Fundamental understanding of surface properties of REMs is essential to identify the reactions taking place at different interfaces to develop more robust technologies for the recovery of REEs. The goal of this study is to provide a comprehensive investigation on the surface energy characteristics of bastnaesite and xenotime, as the primary sources of light and heavy rare earth elements, respectively. Crystal's orientation of REMs was identified using surface X-ray diffraction analysis, …
Attack Detection In Linear Networked Control Systems By Using Learning Methodology, Haifeng Niu, A. Sahoo, C. Bhowmick, S. Jagannathan
Attack Detection In Linear Networked Control Systems By Using Learning Methodology, Haifeng Niu, A. Sahoo, C. Bhowmick, S. Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
A novel learning-based attack detection scheme for linear networked control systems (NCS) is introduced. The class of attacks considered here tends to increase network induced delays and packet losses which affects the physical system dynamics. For the network side, an adaptive observer is proposed to generate the attack detection residual, which in turn is utilized to determine the onset of an attack when it exceeds a predefined threshold. The uncertain stochastic physical system dynamics as a result of network-induced delays of packet losses require an optimal Q-learning based event-triggered controller that optimizes the control policy and the event-triggering instants simultaneously. …
Computational Fluid Dynamic Simulation Of Inhaled Radon Dilution By Auxiliary Ventilation In A Stone-Coal Mine Laneway And Dosage Assessment Of Miners, Bin Zhou, Ping Chang, Guang Xu
Computational Fluid Dynamic Simulation Of Inhaled Radon Dilution By Auxiliary Ventilation In A Stone-Coal Mine Laneway And Dosage Assessment Of Miners, Bin Zhou, Ping Chang, Guang Xu
Mining Engineering Faculty Research & Creative Works
Inhaled radon status in the laneways of some Chinese stone-coal mines is a cause of concern. In this study, computational fluid dynamics simulations were employed to investigate three flowrates of the dilution gas (2.5, 5, and 7.5 m3/s) and radon distributions at realistic breathing levels (1.6, 1.75, and 1.9 m). The results showed that there are obvious jet-flow, backflow, and vortex zones near the heading face, and a circulation flow at the rear of the laneway. A high radon concentration area was found to be caused by the mining machinery. As the ventilation rate increased, the radon concentrations …
Computational Study Of The Ro-Vibrational Spectrum Of Co-Co₂, Eduardo Castro-Juarez, Xiao-Gang Wang, Tucker Carrington Jr., Ernesto Quintas-Sánchez, Richard Dawes
Computational Study Of The Ro-Vibrational Spectrum Of Co-Co₂, Eduardo Castro-Juarez, Xiao-Gang Wang, Tucker Carrington Jr., Ernesto Quintas-Sánchez, Richard Dawes
Chemistry Faculty Research & Creative Works
An accurate ab initio ground-state intermolecular potential energy surface (PES) was determined for the CO-CO2 van der Waals dimer. The Lanczos algorithm was used to compute rovibrational energies on this PES. For both the C-in and O-in T-shaped isomers, the fundamental transition frequencies agree well with previous experimental results. We confirm that the in-plane states previously observed are geared states. In addition, we have computed and assigned many other vibrational states. The rotational constants we determine from J = 1 energy levels agree well with their experimental counterparts. Planar and out-of-plane cuts of some of the wavefunctions we compute …
Enhanced Flocculation Using Drinking Water Treatment Plant Sedimentation Residual Solids, Sandhya Rao Poleneni, Enos Inniss, Honglan Shi, John Yang, Bin Hua, Joseph Clamp
Enhanced Flocculation Using Drinking Water Treatment Plant Sedimentation Residual Solids, Sandhya Rao Poleneni, Enos Inniss, Honglan Shi, John Yang, Bin Hua, Joseph Clamp
Chemistry Faculty Research & Creative Works
Inefficient removal of total organic carbon (TOC) leads to the formation of carcinogenic disinfection by-products (DBPs) when a disinfectant is added. This study is performed in an effort to develop a simple, non-invasive, and cost-effective technology that will effectively lower organic precursors by having water utilities reuse their treatment residual solids. Jar tests are used to simulate drinking water treatment processes with coagulants-aluminum sulfate (alum), poly-aluminum chloride (PACl), and ferric chloride and their residual solids. Ten coagulant-to-residual (C/R) ratios are tested with water from the Missouri River at Coopers Landing in Columbia, MO versus alluvial ground waters. This treatment results …
Action Recognition In Manufacturing Assembly Using Multimodal Sensor Fusion, Md. Al-Amin, Wenjin Tao, David Doell, Ravon Lingard, Zhaozheng Yin, Ming-Chuan Leu, Ruwen Qin
Action Recognition In Manufacturing Assembly Using Multimodal Sensor Fusion, Md. Al-Amin, Wenjin Tao, David Doell, Ravon Lingard, Zhaozheng Yin, Ming-Chuan Leu, Ruwen Qin
Computer Science Faculty Research & Creative Works
Production innovations are occurring faster than ever. Manufacturing workers thus need to frequently learn new methods and skills. In fast changing, largely uncertain production systems, manufacturers with the ability to comprehend workers' behavior and assess their operation performance in near real-time will achieve better performance than peers. Action recognition can serve this purpose. Despite that human action recognition has been an active field of study in machine learning, limited work has been done for recognizing worker actions in performing manufacturing tasks that involve complex, intricate operations. Using data captured by one sensor or a single type of sensor to recognize …
Chapter 2: 2d/3d Finite Element Spaces, Xiaoming He
Chapter 2: 2d/3d Finite Element Spaces, Xiaoming He
AOER Course Materials
No abstract provided.
A Metasomatized Lithospheric Mantle Control On The Metallogenic Signature Of Post-Subduction Magmatism, David A. Holwell, Marco Fiorentini, Iain Mcdonald, Yongjun Lu, Andrea Giuliani, Daniel J. Smith, Manuel Keith, Marek Locmelis
A Metasomatized Lithospheric Mantle Control On The Metallogenic Signature Of Post-Subduction Magmatism, David A. Holwell, Marco Fiorentini, Iain Mcdonald, Yongjun Lu, Andrea Giuliani, Daniel J. Smith, Manuel Keith, Marek Locmelis
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Ore deposits are loci on Earth where energy and mass flux are greatly enhanced and focussed, acting as magnifying lenses into metal transport, fractionation and concentration mechanisms through the lithosphere. Here we show that the metallogenic architecture of the lithosphere is illuminated by the geochemical signatures of metasomatised mantle rocks and post-subduction magmatic-hydrothermal mineral systems. Our data reveal that anomalously gold and tellurium rich magmatic sulfides in mantle-derived magmas emplaced in the lower crust share a common metallogenic signature with upper crustal porphyry-epithermal ore systems. We propose that a trans-lithospheric continuum exists whereby post-subduction magmas transporting metal-rich sulfide cargoes play …
A Region-Based Deep Learning Algorithm For Detecting And Tracking Objects In Manufacturing Plants, Muhammad Monjurul Karim, David Doell, Ravon Lingard, Zhaozheng Yin, Ming-Chuan Leu, Ruwen Qin
A Region-Based Deep Learning Algorithm For Detecting And Tracking Objects In Manufacturing Plants, Muhammad Monjurul Karim, David Doell, Ravon Lingard, Zhaozheng Yin, Ming-Chuan Leu, Ruwen Qin
Computer Science Faculty Research & Creative Works
In today's competitive production era, the ability to identify and track important objects in a near real-time manner is greatly desired among manufacturers who are moving towards the streamline production. Manually keeping track of every object in a complex manufacturing plant is infeasible; therefore, an automatic system of that functionality is greatly in need. This study was motivated to develop a Mask Region-based Convolutional Neural Network (Mask RCNN) model to semantically segment objects and important zones in manufacturing plants. The Mask RCNN was trained through transfer learning that used a neural network (NN) pre-trained with the MS-COCO dataset as the …
Inverse Design Of Long-Range Intensity Correlation In Scattering Media, M. Koirala, R. Sarma, H. Cao, Alexey Yamilov
Inverse Design Of Long-Range Intensity Correlation In Scattering Media, M. Koirala, R. Sarma, H. Cao, Alexey Yamilov
Physics Faculty Research & Creative Works
We demonstrate a possibility of using geometry to deterministically control nonlocal correlation of waves undergoing mesoscopic transport through a disordered waveguide. In case of nondissipative medium, we find an explicit relationship between correlation and the shape of the system. Inverting this relationship, we realize inverse design: we obtain specific waveguide shape that leads to a predetermined nonlocal correlation. The proposed technique offers an approach to coherent control of wave propagation in random media that is complementary to wave-front shaping.
Neutrino Splitting For Lorentz-Violating Neutrinos: Detailed Analysis, G. Somogyi, I. Nandori, Ulrich D. Jentschura
Neutrino Splitting For Lorentz-Violating Neutrinos: Detailed Analysis, G. Somogyi, I. Nandori, Ulrich D. Jentschura
Physics Faculty Research & Creative Works
Lorentz-violating neutrino parameters have been severely constrained on the basis of astrophysical considerations. In the high-energy limit, one generally assumes a superluminal dispersion relation of an incoming neutrino of the form E≈ |p ⃗|v , where E is the energy, p ⃗ is the momentum and v ₌ √(1+ δ) > 1. Lepton-pair creation due to a Cerenkov-radiation-like process (ν → ν + е-+e+) becomes possible above a certain energy threshold, and bounds on the Lorentz-violating parameter δ can be derived. Here, we investigate a related process, νi→ νi+ νf+ …
Pseudo-Periodic Natural Higgs Inflation, I. G. Marian, N. Defenu, Ulrich D. Jentschura, A. Trombettoni, I. Nandori
Pseudo-Periodic Natural Higgs Inflation, I. G. Marian, N. Defenu, Ulrich D. Jentschura, A. Trombettoni, I. Nandori
Physics Faculty Research & Creative Works
Inflationary cosmology represents a well-studied framework to describe the expansion of space in the early universe, as it explains the origin of the large-scale structure of the cosmos and the isotropy of the cosmic microwave background radiation. The recent detection of the Higgs boson renewed research activities based on the assumption that the inflaton could be identified with the Higgs field. At the same time, the question whether the inflationary potential can be extended to the electroweak scale and whether it should be necessarily chosen ad hoc in order to be physically acceptable are at the center of an intense …
Radiative Transfer Distortions Of Lyman Α Emitters: A New Fingers-Of-God Damping In The Clustering In Redshift Space, Chris Byrohl, Shun Saito, Christoph Behrens
Radiative Transfer Distortions Of Lyman Α Emitters: A New Fingers-Of-God Damping In The Clustering In Redshift Space, Chris Byrohl, Shun Saito, Christoph Behrens
Physics Faculty Research & Creative Works
Complex radiative transfer (RT) of the Lyman α photons poses a theoretical challenge to galaxy surveys that infer the large-scale structure with Lyman α emitters (LAEs). Guided by RT simulations, prior studies investigated the impact of RT on the large-scale LAE clustering, and claimed that RT induces a selection effect which results in an anisotropic distortion even in real space but in an otherwise negligible effect in redshift space. However, our previous study, which relies on a full RT code run on the Illustris simulations, shows that the anisotropic selection effect was drastically reduced with higher spatial resolution. Adopting the …
A Displacement Controlled Fatigue Test Method For Additively Manufactured Materials, Mohammad Masud Parvez, Yitao Chen, Sreekar Karnati, Connor Coward, Joseph William Newkirk, Frank W. Liou
A Displacement Controlled Fatigue Test Method For Additively Manufactured Materials, Mohammad Masud Parvez, Yitao Chen, Sreekar Karnati, Connor Coward, Joseph William Newkirk, Frank W. Liou
Materials Science and Engineering Faculty Research & Creative Works
A novel adaptive displacement-controlled test setup was developed for fatigue testing on mini specimens. In property characterization of additive manufacturing materials, mini specimens are preferred due to the specimen preparation, and manufacturing cost but mini specimens demonstrate higher fatigue strength than standard specimens due to the lower probability of material defects resulting in fatigue. In this study, a dual gauge section Krouse type mini specimen was designed to conduct fatigue tests on additively manufactured materials. The large surface area of the specimen with a constant stress distribution and increased control volume as the gauge section may capture all different types …
Chapter 1: Finite Elements For 1d Second Order Elliptic Equation, Xiaoming He
Chapter 1: Finite Elements For 1d Second Order Elliptic Equation, Xiaoming He
AOER Course Materials
No abstract provided.
Joint Manufacturing And Onsite Microgrid System Control Using Markov Decision Process And Neural Network Integrated Reinforcement Learning, Wenqing Hu, Zeyi Sun, Y. Zhang, Y. Li
Joint Manufacturing And Onsite Microgrid System Control Using Markov Decision Process And Neural Network Integrated Reinforcement Learning, Wenqing Hu, Zeyi Sun, Y. Zhang, Y. Li
Mathematics and Statistics Faculty Research & Creative Works
Onsite microgrid generation systems with renewable sources are considered a promising complementary energy supply system for manufacturing plant, especially when outage occurs during which the energy supplied from the grid is not available. Compared to the widely recognized benefits in terms of the resilience improvement when it is used as a backup energy system, the operation along with the electricity grid to support the manufacturing operations in non-emergent mode has been less investigated. In this paper, we propose a joint dynamic decision-making model for the optimal control for both manufacturing system and onsite generation system. Markov Decision Process (MDP) is …