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Surface Layer Plastic Deformation As A Mechanism For Uhmwpe Wear, And Its Role In Debris Size., Kevin G. Plumlee, Christian J. Schwartz 2019 Oklahoma Christian University

Surface Layer Plastic Deformation As A Mechanism For Uhmwpe Wear, And Its Role In Debris Size., Kevin G. Plumlee, Christian J. Schwartz

Christian Schwartz

Ultra-high molecular weight polyethylene (UHMWPE) remains the primary bearing material for use in artificial joints, but the longevity of these implants is still hindered by an osteolytic immune system response initiated by sub-micron sized wear debris released from the UHMWPE bulk component. Studies have shown that the severity of the immune system response is linked to particle size. Current treatments for reducing this effect focus on reducing the total volume of wear, but do not directly address particle size due to a limited understanding of the mechanisms involved in producing such small debris. Directly observing these mechanisms is inherently challenging ...


Effects Of Contact Pressure, Molecular Weight, And Supplier On The Wear Behavior And Transfer Film Of Polyetheretherketone (Peek), Kevin A. Laux, Christian J. Schwartz 2019 Texas A&M University

Effects Of Contact Pressure, Molecular Weight, And Supplier On The Wear Behavior And Transfer Film Of Polyetheretherketone (Peek), Kevin A. Laux, Christian J. Schwartz

Christian Schwartz

Polyetheretherketone (PEEK) is a designation given to materials of the polyaryletherketone family having a characteristic distribution of ether and ketone groups in the polymer backbone. PEEK materials have high strength and chemical resistance as well as very high melting points and glass transition temperatures. Because of this combination of properties, PEEK materials find use for wear application in extreme environments where they provide a light-weight and corrosion resistant bearing material that often does not require lubrication. This study focused on determining the effects of supplier and molecular weight on the wear of particular PEEK materials, in addition to the effect ...


Energetics Of Cu Adsorption And Intercalation At Graphite Step Edges, Yong Han, Ann Lii-Rosales, Michael C. Tringides, James W. Evans, Patricia A. Thiel 2019 Iowa State University and Ames Laboratory

Energetics Of Cu Adsorption And Intercalation At Graphite Step Edges, Yong Han, Ann Lii-Rosales, Michael C. Tringides, James W. Evans, Patricia A. Thiel

James W. Evans

To assess the energetics of Cu intercalation on defective graphite, the chemical potentials and binding energies for Cu at graphite step edges are calculated for three main configurations: an isolated atom, a chain, and an atom attached to a chain. As expected, for Cu interacting directly with a graphite step edge, the strength of interaction depends on the stability of the step, with Cu binding more strongly at a less-stable step. However, the relationship is reversed when considering binding of a Cu atom attached to a chain. Taken together, these trends mean that if the graphite step is less stable ...


Squeezed Nanocrystals: Equilibrium Configuration Of Metal Clusters Embedded Beneath The Surface Of A Layered Material, Scott E. Julien, Ann Lii-Rosales, Kai-tak Wan, Yong Han, Michael C. Tringides, James W. Evans, Patricia A. Thiel 2019 Northeastern University

Squeezed Nanocrystals: Equilibrium Configuration Of Metal Clusters Embedded Beneath The Surface Of A Layered Material, Scott E. Julien, Ann Lii-Rosales, Kai-Tak Wan, Yong Han, Michael C. Tringides, James W. Evans, Patricia A. Thiel

Patricia A. Thiel

Shapes of functional metallic nanocrystals, typically synthesized either free in solution or supported on surfaces, are key for controlling properties. Here, we consider a novel new class of metallic nanocrystals, copper islands embedded near the surface of graphite, which can be considered a model system for metals embedded beneath surfaces of layered materials, or beneath supported membranes. We develop a continuum elasticity (CE) model for the equilibrium shape of these islands, and compare its predictions with experimental data. The CE model incorporates appropriate surface energy, adhesion energies, and strain energy. The agreement between the CE model and the data is ...


Energetics Of Cu Adsorption And Intercalation At Graphite Step Edges, Yong Han, Ann Lii-Rosales, Michael C. Tringides, James W. Evans, Patricia A. Thiel 2019 Iowa State University and Ames Laboratory

Energetics Of Cu Adsorption And Intercalation At Graphite Step Edges, Yong Han, Ann Lii-Rosales, Michael C. Tringides, James W. Evans, Patricia A. Thiel

Patricia A. Thiel

To assess the energetics of Cu intercalation on defective graphite, the chemical potentials and binding energies for Cu at graphite step edges are calculated for three main configurations: an isolated atom, a chain, and an atom attached to a chain. As expected, for Cu interacting directly with a graphite step edge, the strength of interaction depends on the stability of the step, with Cu binding more strongly at a less-stable step. However, the relationship is reversed when considering binding of a Cu atom attached to a chain. Taken together, these trends mean that if the graphite step is less stable ...


Demo: A Low-Cost Fleet Monitoring System, Lotfi ben Othmane, Venecia Alvarez, Kendall Berner, Matthew Fuhrmann, William Fuhrmann, Anthony Guss, Tyler Hartsock 2019 Iowa State University

Demo: A Low-Cost Fleet Monitoring System, Lotfi Ben Othmane, Venecia Alvarez, Kendall Berner, Matthew Fuhrmann, William Fuhrmann, Anthony Guss, Tyler Hartsock

Lotfi ben Othmane

Organizations use fleet monitoring systems for e.g., vehicle tracking, driver behavior analysis, and efficient fleet management. Current systems are designed for commercial use and are of high cost. We present a prototype of a low-cost fleet monitoring system that could be used for non-commercial applications. The system is composed of a device, a service application, and a Web application. The device reads data such as speed and fuel from the internal network of the connected vehicle and the location of the vehicle and sends them to a remote service. The remote service processes and stores the data. The users ...


Fabrication Of High Aspect Ratio Nanopillars Using Metal Assisted Chemical Etching, Rimjhim Chaudhary, Hiromichi Yamamoto 2019 University of Pennsylvania

Fabrication Of High Aspect Ratio Nanopillars Using Metal Assisted Chemical Etching, Rimjhim Chaudhary, Hiromichi Yamamoto

Protocols and Reports

This report describes fabrication of 100 to 200 nm diameter silicon nanopillars with ~140:1 aspect ratio using Metal Assisted Chemical Etching (MacEtch) process giving a high etch rate of ~930 nm/min, and also discusses an area dependence of the etch uniformity and rate, using 0.5 and 1 µm diameter, and 2 mm x 2 mm Au films. It is found that the etching using the Au film with the area of 0.2 µm2 is uniform, but that with the area of more than 0.8 µm2 is not, suggesting that the diffusion length of ...


Details On Csa-Sbl: An Algorithm For Sparse Bayesian Learning Boosted By Partial Erroneous Support Knowledge, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther 2019 Utah State University

Details On Csa-Sbl: An Algorithm For Sparse Bayesian Learning Boosted By Partial Erroneous Support Knowledge, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther

Electrical and Computer Engineering Faculty Publications

This report provides details on CSA-SBL(VB) algorithm for the recovery of sparse signals with unknown clustering pattern. More specifically, we deal with the recovery of sparse signals with unknown clustering pattern in the case of having partial erroneous prior knowledge on the supports of the signal. In [1], we provided a modified sparse Bayesian learning model to incorporate prior knowledge and simultaneously learn the unknown clustering pattern. For this purpose, we added one more layer to support-aided sparse Bayesian learning algorithm (SA-SBL) that was proposed in [2]. This layer adds a prior on the shape parameters of Gamma distributions ...


Robustness Evaluation Of Computer-Aided Clinical Trials For Medical Devices, Kuk Jin Jang, Yash Vardhan Pant, Bo Zhang, James Weimer, Rahul Mangharam 2019 University of Pennsylvania

Robustness Evaluation Of Computer-Aided Clinical Trials For Medical Devices, Kuk Jin Jang, Yash Vardhan Pant, Bo Zhang, James Weimer, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

Medical cyber-physical systems, such as the implantable cardioverter defibrillator (ICD), require evaluation of safety and efficacy in the context of a patient population in a clinical trial. Advances in computer modeling and simulation allow for generation of a simulated cohort or virtual cohort which mimics a patient population and can be used as a source of prior information. A major obstacle to acceptance of simulation results as a source of prior information is the lack of a framework for explicitly modeling sources of uncertainty in simulation results and quantifying the effect on trial outcomes.

In this work, we formulate the ...


Finite Element Modeling Of Cohesive Contact Using Abaqus.Docx, Jiahao Wei 2019 Washington University in St. Louis

Finite Element Modeling Of Cohesive Contact Using Abaqus.Docx, Jiahao Wei

Jiahao Wei

No abstract provided.


Subjective And Objective Results 1 Year After Robotic Sacrocolpopexy Using A Lightweight Y-Mesh, Patrick Culligan, Emil Gurshumov, Christa Lewis, Jennifer Priestley 2019 Atlantic Health System

Subjective And Objective Results 1 Year After Robotic Sacrocolpopexy Using A Lightweight Y-Mesh, Patrick Culligan, Emil Gurshumov, Christa Lewis, Jennifer Priestley

Jennifer L. Priestley

Introduction and hypothesis: The objective of this study was to assess outcomes following robotic sacrocolpopexy using a lightweight polypropylene Y-mesh. Methods: During our study period, all patients who underwent robotic sacrocolpopexy were enrolled in this single-arm prospective trial. Endpoints included Pelvic Organ Prolapse Quantification (POP-Q) values; Pelvic Floor Distress Inventory, short form 20 (PFDI-20); Pelvic Floor Impact Questionnaire, short form 7 (PFIQ-7); Surgical Satisfaction scores; and the Sandvik Incontinence Severity Index. All surgeries were performed with a pre-configured monofilament type 1 polypropylene Y-mesh (Alyte©, C.R. Bard, Covington, GA, USA). Cure rates at 12 months were calculated using two separate ...


Hyperspectral Image Analysis For Mechanical And Chemical Properties Of Concrete And Steel Surfaces, Liang Fan, Paul Manley, Huaishuai Shang, Abdullah Alhaj, Hongyan Ma, Genda Chen 2019 Missouri University of Science and Technology

Hyperspectral Image Analysis For Mechanical And Chemical Properties Of Concrete And Steel Surfaces, Liang Fan, Paul Manley, Huaishuai Shang, Abdullah Alhaj, Hongyan Ma, Genda Chen

Hongyan Ma

According to the 2017 ASCE Report Card, 39% and 15% of 614,387 bridges in the U.S. are more than 50 years and 40 to 49 years, respectively. The number of deficient bridges is increasing. One of the most common causes of reinforced concrete deterioration is corrosion of steel reinforcing bars. Currently, most bridges are visually inspected every two years using boom/snooper trucks to get access to various areas to be inspected. The subjective visual inspection often leads to inconsistent results that are less useful in bridge management. Hyperspectral camera, installed on an unmanned aerial vehicle, can potentially ...


Review Of Fiber Optic Sensors For Structural Fire Engineering, Yi Bao, Ying Huang, Matthew S. Hoehler, Genda Chen 2019 Missouri University of Science and Technology

Review Of Fiber Optic Sensors For Structural Fire Engineering, Yi Bao, Ying Huang, Matthew S. Hoehler, Genda Chen

Genda Chen

Reliable and accurate measurements of temperature and strain in structures subjected to fire can be difficult to obtain using traditional sensing technologies based on electrical signals. Fiber optic sensors, which are based on light signals, solve many of the problems of monitoring structures in high temperature environments; however, they present their own challenges. This paper, which is intended for structural engineers new to fiber optic sensors, reviews various fiber optic sensors that have been used to make measurements in structure fires, including the sensing principles, fabrication, key characteristics, and recently-reported applications. Three categories of fiber optic sensors are reviewed: Grating-based ...


Numerical Investigation Of Inclination On The Thermal Performance Of Porous Fin Heatsink Using Pseudospectral Collocation Method, George Oguntala, Gbeminiyi Sobamowo, Raed Abd-Alhameed, James Noras 2019 University of Bradford

Numerical Investigation Of Inclination On The Thermal Performance Of Porous Fin Heatsink Using Pseudospectral Collocation Method, George Oguntala, Gbeminiyi Sobamowo, Raed Abd-Alhameed, James Noras

Karbala International Journal of Modern Science

Numerical investigation of inclination effect on the thermal performance of a porous fin heat sink is presented. The developed thermal model is solved using pseudo-spectral collocation method (PSCM). Parametric studies are carried out using PSCM, and the thermal characterization of heat sink with the inclined porous fin of rectangular geometry is presented. Results show that heat sink of inclined porous fin exhibits higher thermal performance than heat sink of vertical porous fin operating under the same thermal conditions with the same geometrical configurations. Performance of inclined or tilted fin increases with decrease in length-thickness aspect ratio. However, increase in the ...


Analysis Of Dynamic Behaviour Of A Tensioned Carbon Nanotube In Thermal And Pressurized Environments, Ahmed Yinusa, Gbeminiyi Sobamowo 2019 University of Lagos

Analysis Of Dynamic Behaviour Of A Tensioned Carbon Nanotube In Thermal And Pressurized Environments, Ahmed Yinusa, Gbeminiyi Sobamowo

Karbala International Journal of Modern Science

In this paper, the dynamic behaviour of a tensioned single-walled carbon nanotubes (SWCNT) in thermal and pressurized environments is investigated analytically. With the applications of Bernoulli-Euler and thermal elasticity mechanics theories, the governing equation of motion are developed and solved using Laplace and Fourier transforms. The results of the close form solution in this work are in excellent agreements with past results in literature. From the parametric studies, it is established that as the magnitude of the pressure distribution at the surface increases, the deflection associated with the nanotube increases at any mode of vibration. However, a corresponding increase in ...


[[4-Khd™]] 『Happy Death Day 2u 』 [2019]# Full Movie, lavon 24 2019 University of California, San Francisco

[[4-Khd™]] 『Happy Death Day 2u 』 [2019]# Full Movie, Lavon 24

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Movié!![[Hd™]] ~ Happy Death Day 2u (2019) Fullmovie Watch Online.Free, lavon 24 2019 University of California, San Francisco

Movié!![[Hd™]] ~ Happy Death Day 2u (2019) Fullmovie Watch Online.Free, Lavon 24

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Examining The Effect Of Multiple Route Choice Criteria On Hurricane Evacuation Traffic Through External Validation Of Simulations, Haggai D. Davis III 2019 Louisiana State University and Agricultural and Mechanical College

Examining The Effect Of Multiple Route Choice Criteria On Hurricane Evacuation Traffic Through External Validation Of Simulations, Haggai D. Davis Iii

Haggai Davis

No abstract provided.


Jual Obat Aborsi Cytotec Jogja Wa 082142247766 Obat Aborsi Penggugur Kandungan 4 Jam Luntur Di Jogja, bidan sisi7 2019 Bryant University

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Detection Of Injection Attacks In In-Vehicle Networks, Lotfi ben Othmane, Lalitha Dhulipala, Moataz Abdelkhalek, Manimaran Govindarasu, Nicholas Multari 2019 Iowa State University

Detection Of Injection Attacks In In-Vehicle Networks, Lotfi Ben Othmane, Lalitha Dhulipala, Moataz Abdelkhalek, Manimaran Govindarasu, Nicholas Multari

Lotfi ben Othmane

There have been several public demonstrations of attacks on connected vehicles showing the ability of an attacker to take control of a targeted vehicle by injecting messages into their Controller Area Network (CAN) bus. In this paper, using injected speed reading and Revolutions Per Minute (RPM) messages, we examined the ability of the Pearson correlation, the k-means clustering, and the Hidden Markov Model (HMM) techniques to differentiate ’no-attack’ and ’under-attack’ states of the given vehicle. We found that the Pearson correlation distinguishes the two states while the k-means fails to distinguish the two states and HMM can successfully detect attacks ...


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