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Articles 301 - 330 of 2631
Full-Text Articles in Engineering
Towards Universal Non-Dimensional Characterization Of The Oscillatory Dynamics Of Wind Turbine Rotors Of Multiple Sizes, North Yates, Fernando L. Ponta, Alayna Farrell
Towards Universal Non-Dimensional Characterization Of The Oscillatory Dynamics Of Wind Turbine Rotors Of Multiple Sizes, North Yates, Fernando L. Ponta, Alayna Farrell
Michigan Tech Publications
One concern in the field of Horizontal Axis Wind Turbines (HAWTs) is what control strategies are needed to handle gust pulses in the wind to prevent extreme oscillations of the blades to reduce fatigue stress, prevent blade rupture, and extend the turbine’s operational life. In order to design innovative control strategies to modify the blade’s oscillatory response, it is crucial to establish the fundamental vibrational behavior of the blades when excited by gust pulses of different frequencies and amplitudes present in the fluctuating wind inflow. In a series of previous works, the authors presented a novel Reduced-Order Characterization (ROC) technique …
Exploring New Applications Of Municipal Solid Waste, Harrison Appiah, Ezra Bar Ziv, Jordan L. Klinger, Armando G. Mcdonald
Exploring New Applications Of Municipal Solid Waste, Harrison Appiah, Ezra Bar Ziv, Jordan L. Klinger, Armando G. Mcdonald
Michigan Tech Publications
This study aimed to (i) characterize municipal solid waste (MSW) sourced from Utah and Michigan transfer stations and (ii) upcycle, produce, and evaluate composites derived from this MSW. Composition analysis showed that the MSW was composed of a variety of commodity plastics, paper/cardboard, and inorganic materials. Detailed chemical analysis for lignin, cellulose, hemicellulose, and lipids was performed. The plastics identified were mainly polyethylene, polypropylene, polystyrene, and poly (ethylene terephthalate). The compoundability of the MSW was assessed by torque rheometry. Composites were prepared by compounding the MSW in an extruder. A composite flexural strength of 29 MPa and a modulus of …
Turbulence Numerical Simulation Of Flow Characteristics Of Laval Nozzle Top Blow Jet, Ai Liang Chen, Yao Liu, Zi Biao Wang, Huan Wu Zhan, Xue Xian Jiang, Feng Long Sun, Jiann Yang Hwang, Xi Jun Zhang
Turbulence Numerical Simulation Of Flow Characteristics Of Laval Nozzle Top Blow Jet, Ai Liang Chen, Yao Liu, Zi Biao Wang, Huan Wu Zhan, Xue Xian Jiang, Feng Long Sun, Jiann Yang Hwang, Xi Jun Zhang
Michigan Tech Publications
The turbulent characteristics of the top-blown Laval nozzle and the influence of pressure and Mach number were studied through numerical simulation. With 2.72% error between the results and the empirical formula, the results are reliable. Nozzle fluid is influenced by pipe structure, causing pressure and density to drop as speed increases. Differences in pressure and velocity between the jet and surrounding gas lead to jet velocity attenuation, flow expansion, deflection, and eddy currents. The optimal top blowing pressure is 0.6 MPa, and the center velocity and width of the jet are 345 m/s and 0.124 m, respectively, at 20De (De …
Estimating Snow Coverage Percentage On Solar Panels Using Drone Imagery And Machine Learning For Enhanced Energy Efficiency, Ashraf Saleem, Ali Awad, Amna Mazen, Zoe Mazurkiewicz, Ana Dyreson
Estimating Snow Coverage Percentage On Solar Panels Using Drone Imagery And Machine Learning For Enhanced Energy Efficiency, Ashraf Saleem, Ali Awad, Amna Mazen, Zoe Mazurkiewicz, Ana Dyreson
Michigan Tech Publications
Snow accumulation on solar panels presents a significant challenge to energy generation in snowy regions, reducing the efficiency of solar photovoltaic (PV) systems and impacting economic viability. While prior studies have explored snow detection using fixed-camera setups, these methods suffer from scalability limitations, stationary viewpoints, and the need for reference images. This study introduces an automated deep-learning framework that leverages drone-captured imagery to detect and quantify snow coverage on solar panels, aiming to enhance power forecasting and optimize snow removal strategies in winter conditions. We developed and evaluated two approaches using YOLO-based models: Approach 1, a high-precision method utilizing a …
The Artificial Intelligence-Enhanced Echocardiographic Detection Of Congenital Heart Defects In The Fetus: A Mini-Review, Khadiza Tun Suha, Hugh Lubenow, Stefania Soria-Zurita, Marcus Haw, Joseph Vettukattil, Jingfeng Jiang
The Artificial Intelligence-Enhanced Echocardiographic Detection Of Congenital Heart Defects In The Fetus: A Mini-Review, Khadiza Tun Suha, Hugh Lubenow, Stefania Soria-Zurita, Marcus Haw, Joseph Vettukattil, Jingfeng Jiang
Michigan Tech Publications
Artificial intelligence (AI) is rapidly gaining attention in radiology and cardiology for accurately diagnosing structural heart disease. In this review paper, we first outline the technical background of AI and echocardiography and then present an array of clinical applications, including image quality control, cardiac function measurements, defect detection, and classifications. Collectively, we answer how integrating AI technologies and echocardiography can help improve the detection of congenital heart defects. Particularly, the superior sensitivity of AI-based congenital heart defect (CHD) detection in the fetus (>90%) allows it to be potentially translated into the clinical workflow as an effective screening tool in …
Modeling And Analysis Of Wind Turbine Wake Vortex Evolution Due To Time-Constant Spatial Variations In Atmospheric Flow, Alayna Farrell, Fernando Ponta, North Yates
Modeling And Analysis Of Wind Turbine Wake Vortex Evolution Due To Time-Constant Spatial Variations In Atmospheric Flow, Alayna Farrell, Fernando Ponta, North Yates
Michigan Tech Publications
Modern utility-scale wind turbines are evolving toward larger, lighter, and more flexible designs to meet the growing demand for renewable energy while minimizing logistical costs. However, these advancements in lightweight design result in heightened aeroelastic sensitivity, leading to complex interactions which affect the rotor’s capacity to withstand aerodynamic loading and the cascading effects that manifest in the wake’s vortex-structure evolution under variable atmospheric conditions. In this paper, we analyze the influence of stream-wise fluctuating atmospheric flow conditions on wind turbines with large, flexible rotors through simulations of the National Rotor Testbed (NRT) turbine, located at Sandia National Labs’ Scaled Wind …
Denitrification Processes, Inhibitors, And Their Implications In Ground Improvement, Yasaman Abdolvand, Mohammadhossein Sadeghiamirshahidi, Ishi Keenum
Denitrification Processes, Inhibitors, And Their Implications In Ground Improvement, Yasaman Abdolvand, Mohammadhossein Sadeghiamirshahidi, Ishi Keenum
Michigan Tech Publications
Ureolysis and denitrification are the two major microbial metabolic pathways commonly used in Microbially induced calcite precipitation (MICP) for geoengineering applications. Although ureolysis is generally the more efficient pathway, the denitrification pathway has gained more attention recently because a diverse group of bacteria can precipitate calcite via denitrification, and no harmful byproduct is generated provided that the reduction of nitrate to nitrogen gas is complete. There are, however, many environmental factors that could inhibit or reduce the efficiency of the denitrification process in soil. Some examples of these factors include salinity, pH, temperature, biodiversity (abundance and species of denitrifiers and …
Denitrification Processes, Inhibitors, And Their Implications In Ground Improvement, Yasaman Abdolvand, Mohammadhossein Sadeghiamirshahidi, Ishi Keenum
Denitrification Processes, Inhibitors, And Their Implications In Ground Improvement, Yasaman Abdolvand, Mohammadhossein Sadeghiamirshahidi, Ishi Keenum
Michigan Tech Publications
Ureolysis and denitrification are the two major microbial metabolic pathways commonly used in Microbially induced calcite precipitation (MICP) for geoengineering applications. Although ureolysis is generally the more efficient pathway, the denitrification pathway has gained more attention recently because a diverse group of bacteria can precipitate calcite via denitrification, and no harmful byproduct is generated provided that the reduction of nitrate to nitrogen gas is complete. There are, however, many environmental factors that could inhibit or reduce the efficiency of the denitrification process in soil. Some examples of these factors include salinity, pH, temperature, biodiversity (abundance and species of denitrifiers and …
Direct Water Reuse: A Hydraulic Economic Analysis Of Connecting The Wastewater Treatment Effluent To Water Treatment Influent, Brian Barkdoll, Amber G. Strutz
Direct Water Reuse: A Hydraulic Economic Analysis Of Connecting The Wastewater Treatment Effluent To Water Treatment Influent, Brian Barkdoll, Amber G. Strutz
Michigan Tech Publications
Climate change is causing increased flooding and droughts. Droughts can cause drinking water sources to run dry. Therefore, recycling water from the wastewater plant effluent to the water treatment plant influent, also called ‘direct reuse’ is becoming necessary. A connection between a city's wastewater treatment plant (WWTP) effluent and water treatment plant (WTP) influent via pipe was simulated to provide an understanding of the capital costs and feasibility of execution. Hydraulic pipe-flow and pump equations were used to calculate the pipe and pump sizes needed for various flow rate and elevation head values. Various flow rate recycle rates were modeled …
Flipping Out: Role Of Arginine In Hydrophobic Interactions And Biological Formulation Design, Jonathan W.P. Zajac, Praveen Muralikrishnan, Idris Tohidian, Xianci Zeng, Caryn L. Heldt, Sarah L. Perry, Et. Al.
Flipping Out: Role Of Arginine In Hydrophobic Interactions And Biological Formulation Design, Jonathan W.P. Zajac, Praveen Muralikrishnan, Idris Tohidian, Xianci Zeng, Caryn L. Heldt, Sarah L. Perry, Et. Al.
Michigan Tech Publications
Arginine has been a mainstay in biological formulation development for decades. To date, the way arginine modulates protein stability has been widely studied and debated. Here, we employed a hydrophobic polymer to decouple hydrophobic effects from other interactions relevant to protein folding. While existing hypotheses for the effects of arginine can generally be categorized as either direct or indirect, our results indicate that direct and indirect mechanisms of arginine co-exist and oppose each other. At low concentrations, arginine was observed to stabilize hydrophobic polymer folding via a sidechain-dominated direct mechanism, while at high concentrations, arginine stabilized polymer folding via a …
Evidence Of Pure Ammonia Clouds In Jupiter's Northern Temperate Domain From Juno/Jiram Infrared Spectral Data, F. Biagiotti, D. Grassi, G. Liuzzi, G. Villanueva, G. Piccioni, T. Guillot, Shawn Brueshaber, Et. Al.
Evidence Of Pure Ammonia Clouds In Jupiter's Northern Temperate Domain From Juno/Jiram Infrared Spectral Data, F. Biagiotti, D. Grassi, G. Liuzzi, G. Villanueva, G. Piccioni, T. Guillot, Shawn Brueshaber, Et. Al.
Michigan Tech Publications
In this work, we analyse data from the Jovian Infrared Auroral Mapper (JIRAM) imaging spectrometer on board the NASA mission Juno, to investigate the presence of spectrally identifiable ammonia clouds (SIACs). Focusing on the data from the first perijove passage, we found that a white vortex structure near 40°N provides the best candidate. Implementing atmospheric retrieval thanks to the planetary spectrum generator, we fit the JIRAM spectra (in the 2.5-3.1 μm range) inside and outside the vortex, varying the gaseous ammonia profiles, and the clouds and hazes properties and composition. We found that outside the vortex, the best fit …
Coastal Environments: Lidar Mapping Of Copper Tailings Impacts, Particle Retention Of Copper, Leaching, And Toxicity, W. Charles Kerfoot, Gary Swain, Robert Regis, Varsha K. Raman, Colin N. Brooks, Chris Cook, Et. Al.
Coastal Environments: Lidar Mapping Of Copper Tailings Impacts, Particle Retention Of Copper, Leaching, And Toxicity, W. Charles Kerfoot, Gary Swain, Robert Regis, Varsha K. Raman, Colin N. Brooks, Chris Cook, Et. Al.
Michigan Tech Publications
Tailings generated by mining account for the largest world-wide waste from industrial activities. As an element, copper is relatively uncommon, with low concentrations in sediments and waters, yet is very elevated around mining operations. On the Keweenaw Peninsula of Michigan, USA, jutting out into Lake Superior, 140 mines extracted native copper from the Portage Lake Volcanic Series, part of an intercontinental rift system. Between 1901 and 1932, two mills at Gay (Mohawk, Wolverine) sluiced 22.7 million metric tonnes (MMT) of copper-rich tailings (stamp sands) into Grand (Big) Traverse Bay. About 10 MMT formed a beach that has migrated 7 km …
Biomedically Vibrant And Cost-Effective Biocomposite Bone Plate – Development And Testing, Asif Mahmud Rayhan, Md Enamul Hoque, Adib Bin Rashid
Biomedically Vibrant And Cost-Effective Biocomposite Bone Plate – Development And Testing, Asif Mahmud Rayhan, Md Enamul Hoque, Adib Bin Rashid
Michigan Tech Publications
Bone fracture treatment requires a supportive structure called, bone plate for a specific period required to heal the fractured bone. Titanium, stainless steel, tantalum etc. are widely used as bone plates. However, these metallic bone plates lead to some major problems namely, stress shielding, bone atrophy, high cost etc. because of their very high strength compared to bones. In addition, the metallic bone plates need secondary surgery to remove it from the body. This research aims to develop a sustainable composite bone plate that is biocompatible, bio-functional, and biodegradable in the human body. Firstly, different composite samples were fabricated using …
Artificial Intelligence And Internet Of Things Integration In Pharmaceutical Manufacturing: A Smart Synergy, Reshma Kodumuru, Soumavo Sarkar, Varun Parepally, Jignesh Chandarana
Artificial Intelligence And Internet Of Things Integration In Pharmaceutical Manufacturing: A Smart Synergy, Reshma Kodumuru, Soumavo Sarkar, Varun Parepally, Jignesh Chandarana
Michigan Tech Publications
Background: The integration of artificial intelligence (AI) with the internet of things (IoTs) represents a significant advancement in pharmaceutical manufacturing and effectively bridges the gap between digital and physical worlds. With AI algorithms integrated into IoTs sensors, there is an improvement in the production process and quality control for better overall efficiency. This integration facilitates enabling machine learning and deep learning for real-time analysis, predictive maintenance, and automation—continuously monitoring key manufacturing parameters. Objective: This paper reviews the current applications and potential impacts of integrating AI and the IoTs in concert with key enabling technologies like cloud computing and data analytics, …
Environmental Life Cycle Assessment Of Class A Biosolids Production Using Conventional And Low-Cost, Low-Tech Processes At Small Water Resource Recovery Facilities, Janna Brown, Robert Handler, Jennifer G. Becker, Eric Seagren
Environmental Life Cycle Assessment Of Class A Biosolids Production Using Conventional And Low-Cost, Low-Tech Processes At Small Water Resource Recovery Facilities, Janna Brown, Robert Handler, Jennifer G. Becker, Eric Seagren
Michigan Tech Publications
Producing Class A biosolids that can be distributed or land-applied without restriction is a beneficial way to reuse wastewater treatment solids. For small water resource recovery facilities (WRRFs) in particular, low-cost, low-tech (LCLT) processes may be an appealing alternative to conventional technologies for producing Class A biosolids, such as processes to further reduce pathogens (PFRPs). Conventional Class A biosolids treatment processes tend to be energy-intensive and involve complex equipment and operations. However, a systematic comparison of the overall sustainability of conventional processes and LCLT alternatives for producing Class A biosolids to aid decision makers in selecting treatment processes is not …
Overview Of Porous Magnesium-Based Scaffolds: Development, Properties And Biomedical Applications, Amir Motaharinia, Jaroslaw Drelich, Safian Sharif, Ahmad Fauzi Ismail, Farid Naeimi, Alexandra G. Glover, Mahshid Ebrahiminejad, Hamid Reza Bakhsheshi-Rad
Overview Of Porous Magnesium-Based Scaffolds: Development, Properties And Biomedical Applications, Amir Motaharinia, Jaroslaw Drelich, Safian Sharif, Ahmad Fauzi Ismail, Farid Naeimi, Alexandra G. Glover, Mahshid Ebrahiminejad, Hamid Reza Bakhsheshi-Rad
Michigan Tech Publications
Magnesium (Mg) and its alloys are revolutionizing the field of interventional surgeries in the medical industry. Their high biocompatibility, biodegradability, and a similar elastic modulus to natural bone make porous Mg-based structures potential candidates for orthopedic implants and tissue engineering scaffolding. However, fabricating and machining porous Mg-based structures is challenging due to their complexity and difficulties in achieving uniform or gradient porosity. This review aims to thoroughly explore various fabrication procedures used to create metallic scaffolds, with a specific focus on those made from Mg-based alloys. Both traditional manufacturing techniques, including the directional solidification of metal-gas eutectic technique, pattern casting, …
Generating Synthetic Images For Construction Machinery Data Augmentation Utilizing Context-Aware Object Placement, Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li
Generating Synthetic Images For Construction Machinery Data Augmentation Utilizing Context-Aware Object Placement, Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li
Michigan Tech Publications
Dataset is an essential factor influencing the accuracy of computer vision (CV) tasks in construction. Although image synthesis methods can automatically generate substantial annotated construction data compared to manual annotation, existing challenges limited the CV task accuracy, such as geometric inconsistency. To efficiently generate high-quality data, a synthesis method of construction data was proposed utilizing Unreal Engine (UE) and PlaceNet. First, the inpainting algorithm was applied to generate pure backgrounds, followed by multi-angle foreground capture within the UE. Then, the Swin Transformer and improved loss functions were integrated into PlaceNet to enhance the feature extraction of construction backgrounds, facilitating object …
Solid State Transformer Controls For Mitigation Of E3a High-Altitude Electromagnetic Pulse Insults, Connor A. Lehman, Rush D. Robinett, Wayne Weaver, David G. Wilson
Solid State Transformer Controls For Mitigation Of E3a High-Altitude Electromagnetic Pulse Insults, Connor A. Lehman, Rush D. Robinett, Wayne Weaver, David G. Wilson
Michigan Tech Publications
This paper explores the use of a solid state transformer (SST) to mitigate the 𝐸3𝐴 component of a high-altitude electromagnetic pulse (HEMP) insult using external energy storage optimal control techniques. In lieu of conventional passive blocking devices or feedback-controlled energy storage devices, a novel implementation of Hamiltonian error tracking is utilized to develop a feedback control law for the variable converter ratio in an SST. The findings of the simulations performed in this paper suggest that additional energy storage is not necessary to protect an individual load from a HEMP insult. The simulations performed examine the response of a single-phase …
How Electricity Utility Practitioners In The United States Approach Power System Resilience, Shardul Tiwari, Aritra Chakrabarty, Chelsea Schelly, Mostafa Sahraei-Ardakani, Gaby Ou, Jianli Chen
How Electricity Utility Practitioners In The United States Approach Power System Resilience, Shardul Tiwari, Aritra Chakrabarty, Chelsea Schelly, Mostafa Sahraei-Ardakani, Gaby Ou, Jianli Chen
Michigan Tech Publications
This study explores the understanding and practice of resilience among electrical utilities in the United States, focusing on how practitioners in the utility sector conceptualize and apply resilience in their work. As electricity becomes increasingly central to modern life, powering critical infrastructure and essential services, the resilience of power systems has gained prominence in energy policy and planning. However, there is a lack of standardized definitions and approaches to resilience in both academia and practice, particularly from an energy service perspective. The research employs a qualitative approach, utilizing semi-structured interviews with experts (practitioners) from transmission and distribution utilities in the …
Quality Evaluation For Colored Point Clouds Produced By Autonomous Vehicle Sensor Fusion Systems, Colin Schaefer, Zeid Kootbally, Vinh Nguyen
Quality Evaluation For Colored Point Clouds Produced By Autonomous Vehicle Sensor Fusion Systems, Colin Schaefer, Zeid Kootbally, Vinh Nguyen
Michigan Tech Publications
Perception systems for autonomous vehicles (AVs) require various types of sensors, including light detection and ranging (LiDAR) and cameras, to ensure their robustness in driving scenarios and weather conditions. The data from these sensors are fused together to generate maps of the surrounding environment and provide information for the detection and tracking of objects. Hence, evaluation methods are necessary to compare existing and future sensor systems through quantifiable measurements given the wide range of sensor models and design choices. This paper presents an evaluation method to compare colored point clouds, a common fused data type, among two LiDAR-camera fusion systems …
Trpv4 Dominates High Shear-Induced Initial Traction Response And Long-Term Relaxation Over Piezo1, Mohanish Chandurkar, Manli Yang, Majid Rostami, Sangyoon J. Han
Trpv4 Dominates High Shear-Induced Initial Traction Response And Long-Term Relaxation Over Piezo1, Mohanish Chandurkar, Manli Yang, Majid Rostami, Sangyoon J. Han
Michigan Tech Publications
Modulation of endothelial traction is critical for the responses of endothelial cells to fluid shear stress (FSS), which has profound implications for vascular health and atherosclerosis. Previously, we demonstrated that under high FSS, endothelial cells rapidly increase traction forces, followed by relaxation, with traction aligning in the flow direction. In contrast, low shear preconditioning induces a modest short-term increase in traction (min), followed by a secondary long-term (>14 hr) rise, with traction/cells aligning perpendicular to the flow. The upstream mechanosensors driving these responses, however, remain unknown. Here, we sought the roles of Piezo1 and TRPV4 ion channels in shear-induced …
Magmatic Volatiles Control The Sub-Plinian Basaltic Eruptions At Ambae Volcano, Vanuatu, Philipson Bani, Alessandro Aiuppa, Diego Coppola, Simon Carn, Dominique Cluzel, Estelle Rose-Koga, Et Al.
Magmatic Volatiles Control The Sub-Plinian Basaltic Eruptions At Ambae Volcano, Vanuatu, Philipson Bani, Alessandro Aiuppa, Diego Coppola, Simon Carn, Dominique Cluzel, Estelle Rose-Koga, Et Al.
Michigan Tech Publications
The 2017–2018 eruption of Ambae volcano provided a rare opportunity to investigate gas emissions during a sub-Plinian basaltic eruption. Here we document the gas emissions during this eruption using satellite observation, alongside gas measurements and geochemical analyses. Our results indicate that the volcano released 3.3 teragrams of sulfur dioxide, 7.7 of carbon dioxide, 134 of water vapour, 0.2 of hydrogen sulfide, and 0,001 of dihydrogen, ranking Ambae among the world’s top volcanic gas emitters. Despite these substantial emissions, the relatively modest volume of 0.47 cubic kilometer of magma that fueled the eruption indicates a volatile-rich magma source. This enrichment is …
Lustr20 Thermal Profiling Repository Data, Paul Van Susante
Lustr20 Thermal Profiling Repository Data, Paul Van Susante
LuSTR20 Datasets
The PSTDL was a recipient of a 2020 NASA’s Lunar Surface Technology Research grant (LuSTR20) for the development of a lunar prospecting instrument known as the Percussive Hot Cone Penetrometer (PHCP) in combination with Ground Penetrating Radar (GPR). The goal of this project is to produce a science instrument that is capable of probing the lunar surface up to a depth of 1 meter to extract the geotechnical properties of the lunar regolith, identifying the vertical and lateral concentrations of volatiles present.
Development Of A Basilar Membrane-Inspired Mechanical Spectrum Analyzer Using Metastructures For Enhanced Frequency Selectivity, Shantanu H. Chavan, Vijaya Venkata Narasimha Sriram Malladi
Development Of A Basilar Membrane-Inspired Mechanical Spectrum Analyzer Using Metastructures For Enhanced Frequency Selectivity, Shantanu H. Chavan, Vijaya Venkata Narasimha Sriram Malladi
Michigan Tech Publications
This study introduces a mechanical spectrum analyzer (MSA) inspired by the tonotopic organization of the basilar membrane (BM), designed to achieve two critical features. First, it replicates the traveling-wave behavior of the BM, characterized by energy dissipation without reflections at the boundaries. Second, it enables the physical encoding of the wave energy into distinct spectral components. Moving beyond the conventional focus on metamaterial design, this research investigates wave propagation behavior and energy dissipation within metastructures, with particular attention to how individual unit cells absorb energy. To achieve these objectives, a metastructural design methodology is employed. Experimental characterization of metastructure samples …
Calcium Phosphate Formation And Deposition In Ischemic Neurons, Shu Q. Liu, John B. Troy, Jeremy Goldman, Roger J. Guillory
Calcium Phosphate Formation And Deposition In Ischemic Neurons, Shu Q. Liu, John B. Troy, Jeremy Goldman, Roger J. Guillory
Michigan Tech Publications
Ischemic stroke causes acute brain calcium phosphate (CaP) deposition, a process involving primarily the injured neurons. Whereas the adverse impact of CaP deposition on the brain structure and function has been recognized, the underlying mechanisms remain poorly understood. This investigation demonstrated that the neuron-expressed, plasma membrane-associated Ca2+-binding proteins annexin (Anx) A2, AnxA5, AnxA6, and AnxA7 contributed to neuronal CaP deposition in the mouse model of ischemic stroke. These Anxs were released from the degraded plasma membrane of the ischemic neurons and were able to form Anx/CaP complexes, a nanostructure capable of binding to the β actin filaments via Anx–actin interaction …
Improving Rupture Status Prediction For Intracranial Aneurysms Using Wall Shear Stress Informatics, Jingfeng Jiang, Mostafa Rezaeitaleshmahalleh, Jinshan Tang, Joseph Gemmette, Aditya Pandey
Improving Rupture Status Prediction For Intracranial Aneurysms Using Wall Shear Stress Informatics, Jingfeng Jiang, Mostafa Rezaeitaleshmahalleh, Jinshan Tang, Joseph Gemmette, Aditya Pandey
Michigan Tech Publications
BACKGROUND: Wall shear stress (WSS) plays a crucial role in the natural history of intracranial aneurysms (IA). However, spatial variations among WSS have rarely been utilized to correlate with IAs' natural history. This study aims to establish the feasibility of using spatial patterns of WSS data to predict IAs' rupture status (i.e., ruptured versus unruptured). METHODS: "Patient-specific" computational fluid dynamics (CFD) simulations were performed for 112 IAs; each IA's rupture status was known from medical records. Recall that CFD-simulated hemodynamics data (wall shear stress and its derivatives) are located on unstructured meshes. Hence, we mapped WSS data from an unstructured …
Investigating The Structure-Property Correlations Of Pyrolyzed Phenolic Resin As A Function Of Degree Of Carbonization, Ivan Gallegos, Vikas Varshney, Josh Kemppainen, Gregory Odegard
Investigating The Structure-Property Correlations Of Pyrolyzed Phenolic Resin As A Function Of Degree Of Carbonization, Ivan Gallegos, Vikas Varshney, Josh Kemppainen, Gregory Odegard
Michigan Tech Publications
Carbon-carbon (C/C) composites are attractive materials for high-speed flights and terrestrial atmospheric reentry applications due to their insulating thermal properties, thermal resistance, and high strength-to-weight ratio. It is important to understand the evolving structure-property correlations in these materials during pyrolysis, but the extreme laboratory conditions required to produce C/C composites make it difficult to quantify the properties in situ. This work presents an atomistic modeling methodology to pyrolyze a crosslinked phenolic resin network and track the evolving thermomechanical properties of the skeletal matrix during simulated pyrolysis. First, the crosslinked resin is pyrolyzed and the resulting char yield and mass density …
Great Lakes Water Level Trends Using The Moving Statistics Method, With Implications For Climate Change And Cities, Brian Barkdoll, Opeyemi Alamutu
Great Lakes Water Level Trends Using The Moving Statistics Method, With Implications For Climate Change And Cities, Brian Barkdoll, Opeyemi Alamutu
Michigan Tech Publications
Increasing magnitudes of precipitation and evaporation are predicted for future climate change. Knowing whether these trends are occurring can help water managers plan with respect to future erosion, flooding, and design changes for shoreline infrastructure. Data from all the Laurentian Great Lakes (Erie, Michigan-Huron, Ontario, St. Clair, and Superior) were analyzed here to determine whether these trends are being realized. The MovingStatistics Method is used here using the moving average and moving standard deviation. It was found that Lakes Erie and St. Clair had the highest moving average trend of 0.5 mm/month, while Lake Ontario had the highest moving standard …
Effect Of Aging Duration On The Microstructure And Corrosion Characteristics Of 17-4 Ph Stainless Steel, G. Narasinga Rao, Subrat Kumar Baral, Y. Madhavi, Sriram Vijayan, Ravikumar Dumpala
Effect Of Aging Duration On The Microstructure And Corrosion Characteristics Of 17-4 Ph Stainless Steel, G. Narasinga Rao, Subrat Kumar Baral, Y. Madhavi, Sriram Vijayan, Ravikumar Dumpala
Michigan Tech Publications
Heat treatment plays a critical role in inducing key microstructural changes necessary to enhance corrosion resistance of 17-4 PH stainless steel (SS). During the process, precipitates form within the metal matrix, contributing to the strength of the martensitic steel. Inconsistencies in the literature concerning the response of 17-4PH SS to heat treatment have been noted. Therefore, this study examines the impact of aging duration on microstructural characteristics, microhardness, and corrosion resistance of material. The solution heat-treatment process consisted of heating the material to 1040 °C for one hour and rapid cooling in water. Subsequently, aging treatment was carried out at …
Semi-Quantitative Elemental Imaging Of Corrosion Products From Bioabsorbable Mg Vascular Implants In Vivo, Weilue He, Keith W. Macrenaris, Adam Griebel, Maria P. Kwesiga, Erico Freitas, Amani Gillette, Jeremy Schaffer, Thomas V. O'Halloran, Roger J. Guillory Ii
Semi-Quantitative Elemental Imaging Of Corrosion Products From Bioabsorbable Mg Vascular Implants In Vivo, Weilue He, Keith W. Macrenaris, Adam Griebel, Maria P. Kwesiga, Erico Freitas, Amani Gillette, Jeremy Schaffer, Thomas V. O'Halloran, Roger J. Guillory Ii
Michigan Tech Publications
While metal materials historically have served as permanent implants and were designed to avoid degradation, next generation bioabsorbable metals for medical devices such as vascular stents are under development, which would elute metal ions and corrosion byproducts into tissues. The fate of these eluted products and their local distribution in vascular tissue largely under studied. In this study, we employ a high spatial resolution spectrometric imaging modality, laser ablation inductively coupled plasma time-of-flight mass spectrometry (LA-ICP-TOF-MS) to map the metal distribution, (herein refered to as laser ablation mapping, or LAM) from Mg alloys within the mouse vascular system and approximate …