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Full-Text Articles in Mechanical Engineering

Nebraska Summary: S1129 Case-Ih Farmall 120u, Nebraska Tractor Test Laboratory Jan 2106

Nebraska Summary: S1129 Case-Ih Farmall 120u, Nebraska Tractor Test Laboratory

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of ...


Multi-Component Fuel Drop-Wall Interactions At High Ambient Pressures, Abhijeet Chausalkar, Chol-Bum M. Kweon, James B. Michael Jan 2021

Multi-Component Fuel Drop-Wall Interactions At High Ambient Pressures, Abhijeet Chausalkar, Chol-Bum M. Kweon, James B. Michael

Mechanical Engineering Publications

In direct injection engines, multicomponent fuels are injected at high pressures—resulting in a finely atomized spray which impacts on the hot wall of the piston crown and cylinder liner. The variable operating load of typical combustors results in widely varying wall temperature and ambient pressures. For quantitative prediction of the combustion spray physics, detailed data is required for the impact of multicomponent fuel drops on these heated surfaces at combustor-relevant pressures. A series of experiments are presented for blends of n-heptane and n-decane, as well as a commercial gasoline blend impacting heated walls at ambient pressures in the range ...


X-Ray Flow Visualization In Multiphase Flows, Alberto Aliseda, Theodore J. Heindel Jan 2021

X-Ray Flow Visualization In Multiphase Flows, Alberto Aliseda, Theodore J. Heindel

Mechanical Engineering Publications

The use of X-ray flow visualization has brought a powerful new tool to the study of multiphase flows. Penetrating radiation can probe the spatial concentration of the different phases without the refraction, diffraction, or multiple scattering that usually produce image artifacts or reduce the signal-to-noise ratio below reliable values in optical visualization of multiphase flows; hence, X-ray visualization enables research into the three-dimensional (3D) structure of multiphase flows characterized by complex interfaces. With the commoditization of X-ray laboratory sources and wider access to synchrotron beam time for fluid mechanics, this novel imaging technique has shed light onto many multiphase flows ...


Experimental And Mathematical Tools To Predict Droplet Size And Velocity Distribution For A Two-Fluid Nozzle, Sadegh Poozesh, Nelson K. Akafuah, Heather R. Campbell, Faezeh Bashiri, Kozo Saito Dec 2020

Experimental And Mathematical Tools To Predict Droplet Size And Velocity Distribution For A Two-Fluid Nozzle, Sadegh Poozesh, Nelson K. Akafuah, Heather R. Campbell, Faezeh Bashiri, Kozo Saito

Mechanical Engineering Faculty Publications

Despite progress in laser-based and computational tools, an accessible model that relies on fundamentals and offers a reasonably accurate estimation of droplet size and velocity is lacking, primarily due to entangled complex breakup mechanisms. Therefore, this study aims at using the integral form of the conservation equations to create a system of equations by solving which, the far-field secondary atomization can be analyzed through predicting droplet size and velocity distributions of the involved phases. To validate the model predictions, experiments are conducted at ambient conditions using water, methanol, and acetone as model fluids with varying formulation properties, such as density ...


Subsystem Identification Of Feedback And Feedforward Systems With Time Delay, S. Alireza Seyyed Mousavi, Xingye Zhang, Thomas M. Seigler, Jesse B. Hoagg Dec 2020

Subsystem Identification Of Feedback And Feedforward Systems With Time Delay, S. Alireza Seyyed Mousavi, Xingye Zhang, Thomas M. Seigler, Jesse B. Hoagg

Mechanical Engineering Faculty Publications

We present an algorithm for identifying discrete-time feedback-and-feedforward subsystems with time delay that are interconnected in closed loop with a known subsystem. This frequency-domain algorithm uses only measured input and output data from a closed-loop discrete-time system, which is single input and single output. No internal signals are assumed to be measured. The orders of the unknown feedback and feedforward transfer functions are assumed to be known. We use a two-candidate-pool multi-convex-optimization approach to identify not only the feedback and feedforward transfer functions but also the feedback and feedforward time delay. The algorithm guarantees asymptotic stability of the identified closed-loop ...


Radio Frequency Emissions From Dark-Matter-Candidate Magnetized Quark Nuggets Interacting With Matter, J. Pace Vandevender, C. Jerald Buchenauer, Chunpei Cai, Aaron P. Vandevender, Benjamin A. Ulmen Dec 2020

Radio Frequency Emissions From Dark-Matter-Candidate Magnetized Quark Nuggets Interacting With Matter, J. Pace Vandevender, C. Jerald Buchenauer, Chunpei Cai, Aaron P. Vandevender, Benjamin A. Ulmen

Michigan Tech Publications

Quark nuggets are theoretical objects composed of approximately equal numbers of up, down, and strange quarks. They are also called strangelets, nuclearites, AQNs, slets, Macros, and MQNs. Quark nuggets are a candidate for dark matter, which has been a mystery for decades despite constituting ~ 85% of the universe’s mass. Most previous models of quark nuggets have assumed no intrinsic magnetic field; however, Tatsumi found that quark nuggets may exist in magnetars as a ferromagnetic liquid with a magnetic field BS = 1012±1 T. We apply that result to quark nuggets, a dark-matter candidate consistent with the Standard Model, and ...


A Low-Cost Secure Iot Mechanism For Monitoring And Controlling Polygeneration Microgrids, Josué Martínez-Martínez, Diego Aponte-Roa, Idalides Vergara-Laurens, Wayne Weaver Dec 2020

A Low-Cost Secure Iot Mechanism For Monitoring And Controlling Polygeneration Microgrids, Josué Martínez-Martínez, Diego Aponte-Roa, Idalides Vergara-Laurens, Wayne Weaver

Michigan Tech Publications

The use of Internet-connected devices at homes has increased to monitor energy consumption. Furthermore, renewable energy sources have also increased, reducing electricity bills. However, the high cost of the equipment limits the use of these technologies. This paper presents a low-cost secured-distributed Internet of Things (IoT) system to monitor and control devices connected in a polygeneration microgrid, as a combined power system for local loads with renewable sources. The proposed mechanism includes a Wireless Sensor Actuator Networked Control System that links network nodes using the IEEE 802.15.4 standard. The Internet communication enables the monitor and control of devices ...


Dynamic Body-Weight Support To Boost Rehabilitation Outcomes In Patients With Non-Traumatic Spinal Cord Injury: An Observational Study, Justin P. Huber, Lumy Sawaki Nov 2020

Dynamic Body-Weight Support To Boost Rehabilitation Outcomes In Patients With Non-Traumatic Spinal Cord Injury: An Observational Study, Justin P. Huber, Lumy Sawaki

Neurology Faculty Publications

BACKGROUND: Dynamic body-weight support (DBWS) may play an important role in rehabilitation outcomes, but the potential benefit among disease-specific populations is unclear. In this study, we hypothesize that overground therapy with DBWS during inpatient rehabilitation yields greater functional improvement than standard-of-care in adults with non-traumatic spinal cord injury (NT-SCI).

METHODS: This retrospective cohort study included individuals diagnosed with NT-SCI and undergoing inpatient rehabilitation. All participants were recruited at a freestanding inpatient rehabilitation hospital. Individuals who trained with DBWS for at least three sessions were allocated to the experimental group. Participants in the historical control group received standard-of-care (i.e., no ...


Review Of Γ’ Rafting Behavior In Nickel-Based Superalloys: Crystal Plasticity And Phase-Field Simulation, Zhiyuan Yu, Xinmei Wang, Fuqian Yang, Zhufeng Yue, James C. M. Li Nov 2020

Review Of Γ’ Rafting Behavior In Nickel-Based Superalloys: Crystal Plasticity And Phase-Field Simulation, Zhiyuan Yu, Xinmei Wang, Fuqian Yang, Zhufeng Yue, James C. M. Li

Chemical and Materials Engineering Faculty Publications

Rafting is an important phenomenon of the microstructure evolution in nickel-based single crystal superalloys at elevated temperature. Understanding the rafting mechanism and its effect on the microstructure evolution is of great importance in determining the structural stability and applications of the single crystal superalloys. Phase-field method, which is an excellent tool to analyze the microstructure evolution at mesoscale, has been gradually used to investigate the rafting behavior. In this work, we review the crystal plasticity theory and phase-field method and discuss the application of the crystal plasticity theory and phase-field method in the analysis of the creep deformation and microstructure ...


Development And Validation Of A Nonlinear Dynamic Model For Tuned Liquid Multiple Columns Dampers, Liang Cao, Yongqiang Gong, Filippo Ubertini, Hao Wu, An Chen, Simon Laflamme Nov 2020

Development And Validation Of A Nonlinear Dynamic Model For Tuned Liquid Multiple Columns Dampers, Liang Cao, Yongqiang Gong, Filippo Ubertini, Hao Wu, An Chen, Simon Laflamme

Civil, Construction and Environmental Engineering Publications

The tuned liquid column damper (TLCD), a passive damping device consisting of a large U-tube with oscillating liquid, has been shown to be effective at mitigating structural responses under natural hazards. Aside from their bandwidth-limited mitigation capabilities, a key limitation of TLCDs is in their large geometries that occupy large space often at prime locations. A solution is to implement multi-columned versions, termed tuned liquid multiple columns dampers (TLMCDs), which have the potential to be tuned to multiple frequencies and occupy less space by leveraging the multiple columns to allow fluid movement. However, mathematical models characterizing their dynamic behavior must ...


Machine Learning Augmentation Micro-Sensors For Smart Device Applications, Mohammad H. Hasan Nov 2020

Machine Learning Augmentation Micro-Sensors For Smart Device Applications, Mohammad H. Hasan

Mechanical (and Materials) Engineering -- Dissertations, Theses, and Student Research

Novel smart technologies such as wearable devices and unconventional robotics have been enabled by advancements in semiconductor technologies, which have miniaturized the sizes of transistors and sensors. These technologies promise great improvements to public health. However, current computational paradigms are ill-suited for use in novel smart technologies as they fail to meet their strict power and size requirements. In this dissertation, we present two bio-inspired colocalized sensing-and-computing schemes performed at the sensor level: continuous-time recurrent neural networks (CTRNNs) and reservoir computers (RCs). These schemes arise from the nonlinear dynamics of micro-electro-mechanical systems (MEMS), which facilitates computing, and the inherent ability ...


Laser Powder Bed Fusion Of Nitihf High-Temperature Shape Memory Alloy: Effect Of Process Parameters On The Thermomechanical Behavior, Mohammadreza Nematollahi, Guher P. Toker, Keyvan Safaei, Alejandro Hinojos, S. Ehsan Saghaian, Othmane Benafan, Michael J. Mills, Haluk E. Karaca, Mohammad Elahinia Nov 2020

Laser Powder Bed Fusion Of Nitihf High-Temperature Shape Memory Alloy: Effect Of Process Parameters On The Thermomechanical Behavior, Mohammadreza Nematollahi, Guher P. Toker, Keyvan Safaei, Alejandro Hinojos, S. Ehsan Saghaian, Othmane Benafan, Michael J. Mills, Haluk E. Karaca, Mohammad Elahinia

Mechanical Engineering Faculty Publications

Laser powder bed fusion has been widely investigated for shape memory alloys, primarily NiTi alloys, with the goal of tailoring microstructures and producing complex geometries. However, processing high temperature shape memory alloys (HTSMAs) remains unknown. In our previous study, we showed that it is possible to manufacture NiTiHf HTSMA, as one of the most viable alloys in the aerospace industry, using SLM and investigated the effect of parameters on defect formation. The current study elucidates the effect of process parameters (PPs) on the functionality of this alloy. Shape memory properties and the microstructure of additively manufactured Ni-rich NiTiHf alloys were ...


Fast Inverse Design Of Microstructures Via Generative Invariance Networks, Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar Nov 2020

Fast Inverse Design Of Microstructures Via Generative Invariance Networks, Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar

Mechanical Engineering Publications

The problem of efficient design of material microstructures exhibiting desired properties spans a variety of engineering and science applications. An ability to rapidly generate microstructures that exhibit user-specified property distributions transforms the iterative process of traditional microstructure-sensitive design. We reformulate the microstructure design process as a constrained Generative Adversarial Network (GAN). This approach explicitly encodes invariance constraints within a GAN to generate two-phase morphologies for photovoltaic applications obeying design specifications: specifically, various short circuit current density and fill-factor combinations. Such invariance constraints can be represented by deep learning-based surrogates of full physics models mapping microstructure to photovoltaic properties. To circumvent ...


Bibliometric Survey On Supply Chain In Healthcare Using Artificial Intelligence, Shruti Maheshwari, Gagandeep Kaur, Ketan Kotecha, Pramod Kumar Jain Dr. Nov 2020

Bibliometric Survey On Supply Chain In Healthcare Using Artificial Intelligence, Shruti Maheshwari, Gagandeep Kaur, Ketan Kotecha, Pramod Kumar Jain Dr.

Library Philosophy and Practice (e-journal)

With the increasing demand for the supply chain in the service sector, new techniques have become essential. With the latest emerging technologies, it has become crucial to have a bibliometric analysis of supply chain management (SCM) in the healthcare sector. The paper represents the analysis of research supply chain in the service sector using artificial intelligence techniques. The main aim of the analysis is to accomplish the technology in healthcare supply chain management using SCOPUS, Google Scholar, Research Gate, etc. and the various softwares like Gephi, GSP Visualizer, etc. The bibliometric analysis shows that India has ranked 4th in publishing ...


Triboelectric Energy Harvester With Large Bandwidth Under Harmonic And Random Excitations, Alwathiqbellah Ibrahim, Abdallah Ramini, Shahrzad Towfighian Nov 2020

Triboelectric Energy Harvester With Large Bandwidth Under Harmonic And Random Excitations, Alwathiqbellah Ibrahim, Abdallah Ramini, Shahrzad Towfighian

Mechanical Engineering Faculty Publications and Presentations

This paper investigates an approach to impact vibration energy harvesting using a triboelectric mechanism under harmonic and random excitation. The harvester consists of a clamped–clamped beam with a stiff plate in the middle to realize the impact electrification process when subjected to external vibrations. The harvester uses stiffening in the clamped–clamped beam introduced by the impact between two triboelectric layers to increase the frequency bandwidth. A piecewise theoretical model is used to model the harvester for two scenarios of motions, before and after impact. The harvester is tested experimentally under different harmonic excitation to validate the theoretical model ...


Extending The Functional Subnetwork Approach To A Generalized Linear Integrate-And-Fire Neuron Model, Nicholas Szczecinski, Roger Quinn, Alexander J. Hunt Nov 2020

Extending The Functional Subnetwork Approach To A Generalized Linear Integrate-And-Fire Neuron Model, Nicholas Szczecinski, Roger Quinn, Alexander J. Hunt

Mechanical and Materials Engineering Faculty Publications and Presentations

Engineering neural networks to perform specific tasks often represents a monumental challenge in determining network architecture and parameter values. In this work, we extend our previously-developed method for tuning networks of non-spiking neurons, the “Functional subnetwork approach” (FSA), to the tuning of networks composed of spiking neurons. This extension enables the direct assembly and tuning of networks of spiking neurons and synapses based on the network’s intended function, without the use of global optimization ormachine learning. To extend the FSA, we show that the dynamics of a generalized linear integrate and fire (GLIF) neuronmodel have fundamental similarities to those ...


Application Of Hydroprocessing, Fermentation, And Anaerobic Digestion In A Carbon-Negative Pyrolysis Refinery, Arna Ganguly, Irene M. Martin, Robert C. Brown, Mark M. Wright Oct 2020

Application Of Hydroprocessing, Fermentation, And Anaerobic Digestion In A Carbon-Negative Pyrolysis Refinery, Arna Ganguly, Irene M. Martin, Robert C. Brown, Mark M. Wright

Mechanical Engineering Publications

This study investigates the economic and environmental benefits of integrating hydroprocessing, fermentation, and anaerobic digestion into a pyrolysis refinery. Two scenarios were developed for upgrading and/or utilizing the primary products of pyrolysis (bio-oil, gas, and char). The first (hydroprocessing) scenario hydroprocesses whole bio-oil into gasoline and diesel. The second (fractionation) scenario fractionates bio-oil into sugars for fermentation to cellulosic ethanol and residual phenolic oil as the primary product. Both scenarios use the gaseous product of pyrolysis for process heat in the plant and employ biochar to enhance anaerobic digestion of manure for power generation. The fast pyrolysis plant processes ...


Kinetics Of Biotic And Abiotic Co Production During The Initial Phase Of Biowaste Composting, Sylwia Stegenta-Dabrowska, Karolina Sobieraj, Jacek A. Koziel, Jerzy Bieniek, Andrzej Białowiec Oct 2020

Kinetics Of Biotic And Abiotic Co Production During The Initial Phase Of Biowaste Composting, Sylwia Stegenta-Dabrowska, Karolina Sobieraj, Jacek A. Koziel, Jerzy Bieniek, Andrzej Białowiec

Agricultural and Biosystems Engineering Publications

Knowledge of kinetic parameters of CO production during biowaste composting is significantly important for the prediction of its course and estimation of total gas quantity. This allows increasing the control of the process, to minimize its negative impact on the environment and to protect the occupational safety of employees exposed to CO in the biowaste composting plant. For the first time, a full study of the influence of temperature and biowaste sterilization on the kinetics of CO production is presented. The lab-scale experiments used a mixture of green waste, dairy cattle manure, and sawdust in two variants: sterilized and non-sterilized ...


Predicting The Tensile Properties Of Additively Manufactured Ti-6al-4v Via Electron Beam Deposition, Thomas K. Ales, Iman Ghamarian, Brian Hayes, Brian Welk, Andrew Baker, Matthew Kenney, D. Gary Harlow, Hamish Fraser, Wenqi Li, Peter C. Collins Oct 2020

Predicting The Tensile Properties Of Additively Manufactured Ti-6al-4v Via Electron Beam Deposition, Thomas K. Ales, Iman Ghamarian, Brian Hayes, Brian Welk, Andrew Baker, Matthew Kenney, D. Gary Harlow, Hamish Fraser, Wenqi Li, Peter C. Collins

Materials Science and Engineering Conference Papers, Posters and Presentations

Additively manufactured materials are gaining wide attention owing to the manufacturing benefits as it results in near net shape components. It is well known that the manufacturing processes affects the performance of the components via microstructural features and the mechanical properties. There is an urgent need to understand the processing-structure-property-performance relationship for the materials manufactures via such innovative techniques. Strategies are needed to quantify and modify the mechanical properties. This study assists to design and tailor the process parameters based on the final properties required. Current work predicts the yield strength of additively manufactured Ti-6Al-4V with different post heat treatments ...


Ti-6al-4v Microstructural Orientation At Different Length Scales As A Function Of Scanning Strategies In Electron Beam Melting In Additive Manufacturing, Priyanka Agrawal, Maria J. Quintana, Matthew Kenney, Sabina Kumar, Alec Saville, Amy Clarke, Peter C. Collins Oct 2020

Ti-6al-4v Microstructural Orientation At Different Length Scales As A Function Of Scanning Strategies In Electron Beam Melting In Additive Manufacturing, Priyanka Agrawal, Maria J. Quintana, Matthew Kenney, Sabina Kumar, Alec Saville, Amy Clarke, Peter C. Collins

Materials Science and Engineering Conference Papers, Posters and Presentations

Additive manufacturing has been around for many years, yet the underlying physics of thermal gradients, local pressure environment, and other non-steady state manufacturing conditions are not fully understood. A Multi-University Research Initiative (MURI) is currently ongoing to measure liquid/solid and solid/solid interface stabilities in AM Ti-6Al-4V. Samples were produced with different beamscanning strategies in order to study the role of thermal gradients on the resulting microstructure. The motivation is to determine which beam-scanning strategy leads to desired grain size and texture. Orientation at different length scales (from mm to nm) can be quantified and compared with a combination ...


Resistive Switching In Fto/Cuo-Cu2o/Au Memory Devices, Amir Shariffar, Haider Salman, Tanveer A. Siddique, Wafaa Gebril, M. Omar Manasreh Oct 2020

Resistive Switching In Fto/Cuo-Cu2o/Au Memory Devices, Amir Shariffar, Haider Salman, Tanveer A. Siddique, Wafaa Gebril, M. Omar Manasreh

Electrical Engineering Faculty Publications and Presentations

Memristors are considered to be next-generation non-volatile memory devices owing to their fast switching and low power consumption. Metal oxide memristors have been extensively investigated and reported to be promising devices, although they still suffer from poor stability and laborious fabrication process. Herein, we report a stable and power-efficient memristor with novel heterogenous electrodes structure and facile fabrication based on CuO-Cu2O complex thin films. The proposed structure of the memristor contains an active complex layer of cupric oxide (CuO) and cuprous oxide (Cu2O) sandwiched between fluorine-doped tin oxide (FTO) and gold (Au) electrodes. The fabricated memristors demonstrate bipolar resistive switching ...


Sound Vortex Diffraction Via Topological Charge In Phase Gradient Metagratings, Yangyang Fu, Chen Shen, Xiaohui Zhu, Junfei Li, Youwen Liu, Steven A. Crummer Oct 2020

Sound Vortex Diffraction Via Topological Charge In Phase Gradient Metagratings, Yangyang Fu, Chen Shen, Xiaohui Zhu, Junfei Li, Youwen Liu, Steven A. Crummer

Henry M. Rowan College of Engineering Faculty Scholarship

Wave fields with orbital angular momentum (OAM) have been widely investigated in metasurfaces. By engineering acoustic metasurfaces with phase gradient elements, phase twisting is commonly used to obtain acoustic OAM. However, it has limited ability to manipulate sound vortices, and a more powerful mechanism for sound vortex manipulation is strongly desired. Here, we propose the diffraction mechanism to manipulate sound vortices in a cylindrical waveguide with phase gradient metagratings (PGMs). A sound vortex diffraction law is theoretically revealed based on the generalized conservation principle of topological charge. This diffraction law can explain and predict the complicated diffraction phenomena of sound ...


Open Source High-Temperature Reprap For 3-D Printing Heat-Sterilizable Ppe And Other Applications, Noah G. Skrzypczak, Nagendra G. Tanikella, Joshua M. Pearce Oct 2020

Open Source High-Temperature Reprap For 3-D Printing Heat-Sterilizable Ppe And Other Applications, Noah G. Skrzypczak, Nagendra G. Tanikella, Joshua M. Pearce

Michigan Tech Publications

Thermal sterilization is generally avoided for 3-D printed components because of the relatively low deformation temperatures for common thermoplastics used for material extrusion-based additive manufacturing. 3-D printing materials required for high-temperature heat sterilizable components for COVID-19 and other applications demands 3-D printers with heated beds, hot ends that can reach higher temperatures than polytetrafluoroethylene (PTFE) hot ends and heated chambers to avoid part warping and delamination. There are several high temperature printers on the market, but their high costs make them inaccessible for full home-based distributed manufacturing required during pandemic lockdowns. To allow for all these requirements to be met ...


3d Interdigitated Vertically Aligned Carbon Nanotube Electrodes For Electrochemical Impedimetric Biosensing, Benjamin J. Brownlee, Jonathan C. Claussen, Brian D. Iverson Sep 2020

3d Interdigitated Vertically Aligned Carbon Nanotube Electrodes For Electrochemical Impedimetric Biosensing, Benjamin J. Brownlee, Jonathan C. Claussen, Brian D. Iverson

Mechanical Engineering Publications

Advances in nanomaterials, combined with electrochemical impedance spectroscopy (EIS), have allowed electrochemical biosensors to have high sensitivity while remaining label-free, enabling the potential for portable diagnosis at the point-of-care. We report porous, 3D vertically aligned carbon nanotube (VACNT) electrodes with underlying chromium electrical leads for impedance-based biosensing. The electrodes are characterized by electrode height (5, 25, and 80 μm), gap width (15 and 25 μm), and geometry (interdigitated and serpentine) using scanning electron microscopy, cyclic voltammetry, and electrochemical impedance spectroscopy (EIS). The protein streptavidin is functionalized onto VACNT electrodes for detection of biotin, as confirmed by fluorescence microscopy. EIS is ...


100% Renewable Energy Grid For Rural Electrification Of Remote Areas: A Case Study In Jordan, Loiy Al-Ghussain, Mohammad Abujubbeh, Adnan Darwish Ahmad, Ahmad M. Abubaker, Onur Taylan, Murat Fahrioglu, Nelson K. Akafuah Sep 2020

100% Renewable Energy Grid For Rural Electrification Of Remote Areas: A Case Study In Jordan, Loiy Al-Ghussain, Mohammad Abujubbeh, Adnan Darwish Ahmad, Ahmad M. Abubaker, Onur Taylan, Murat Fahrioglu, Nelson K. Akafuah

Institute of Research for Technology Development Faculty Publications

Many developing countries suffer from high energy-import dependency and inadequate electrification of rural areas, which aggravates the poverty problem. In this work, Al-Tafilah in Jordan was considered as a case study, where the technical, economic, and environmental benefits of a decentralized hybrid renewable energy system that can match 100% of the city demand were investigated. A tri-hybrid system of wind, solar, and hydropower was integrated with an energy storage system and optimized to maximize the match between the energy demand and production profiles. The optimization aimed at maximizing the renewable energy system (RES) fraction while keeping the levelized cost of ...


Proof-Of-Concept Of High-Pressure Torrefaction For Improvement Of Pelletized Biomass Fuel Properties And Process Cost Reduction, Bartosz Matyjewicz, Kacper Świechowski, Jacek A. Koziel, Andrzej Białowiec Sep 2020

Proof-Of-Concept Of High-Pressure Torrefaction For Improvement Of Pelletized Biomass Fuel Properties And Process Cost Reduction, Bartosz Matyjewicz, Kacper Świechowski, Jacek A. Koziel, Andrzej Białowiec

Agricultural and Biosystems Engineering Publications

This paper provides a comprehensive description of the new approach to biomass torrefaction under high-pressure conditions. A new type of laboratory-scale high-pressure reactor was designed and built. The aim of the study was to compare the high-pressure torrefaction with conventional near atmospheric pressure torrefaction. Specifically, we investigated the torrefaction process influence on the fuel properties of wooden-pellet for two different pressure regimes up to 15 bar. All torrefaction processes were conducted at 300 °C, at 30 min of residence time. The initial analysis of the increased pressure impact on the torrefaction parameters: mass yields, energy densification ratio, energy yield, process ...


Predicting County-Scale Maize Yields With Publicly Available Data, Zehui Jiang, Chao Liu, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar Sep 2020

Predicting County-Scale Maize Yields With Publicly Available Data, Zehui Jiang, Chao Liu, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar

Economics Publications

Maize (corn) is the dominant grain grown in the world. Total maize production in 2018 equaled 1.12 billion tons. Maize is used primarily as an animal feed in the production of eggs, dairy, pork and chicken. The US produces 32% of the world’s maize followed by China at 22% and Brazil at 9% (https://apps.fas.usda.gov/psdonline/app/index.html#/app/home). Accurate national-scale corn yield prediction critically impacts mercantile markets through providing essential information about expected production prior to harvest. Publicly available high-quality corn yield prediction can help address emergent information asymmetry problems and in ...


Me-Em Enewsbrief, September 2020, Department Of Mechanical Engineering-Engineering Mechanics, Michigan Technological University Sep 2020

Me-Em Enewsbrief, September 2020, Department Of Mechanical Engineering-Engineering Mechanics, Michigan Technological University

Department of Mechanical Engineering-Engineering Mechanics eNewsBrief

No abstract provided.


Emerging Gene-Editing Modalities For Osteoarthritis, Alekya S. Tanikella, Makenna J. Hardy, Stephanie M. Frahs, Aidan G. Cormier, Kalin D. Gibbons, Clare K. Fitzpatrick, Julia Thom Oxford Sep 2020

Emerging Gene-Editing Modalities For Osteoarthritis, Alekya S. Tanikella, Makenna J. Hardy, Stephanie M. Frahs, Aidan G. Cormier, Kalin D. Gibbons, Clare K. Fitzpatrick, Julia Thom Oxford

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Osteoarthritis (OA) is a pathological degenerative condition of the joints that is widely prevalent worldwide, resulting in significant pain, disability, and impaired quality of life. The diverse etiology and pathogenesis of OA can explain the paucity of viable preventive and disease-modifying strategies to counter it. Advances in genome-editing techniques may improve disease-modifying solutions by addressing inherited predisposing risk factors and the activity of inflammatory modulators. Recent progress on technologies such as CRISPR/Cas9 and cell-based genome-editing therapies targeting the genetic and epigenetic alternations in OA offer promising avenues for early diagnosis and the development of personalized therapies. The purpose of ...


Large-Stroke Capacitive Mems Accelerometer Without Pull-In, Meysam Daeichin, Ronald Miles, Shahrzad Towfighian Sep 2020

Large-Stroke Capacitive Mems Accelerometer Without Pull-In, Meysam Daeichin, Ronald Miles, Shahrzad Towfighian

Mechanical Engineering Faculty Scholarship

In this study, the feasibility of obtaining electrical read-out data from a capacitive MEMS accelerometer that employs repulsive electrode configuration is demonstrated. This configuration allows for large-stroke vibrations of microstructures without suffering from pull-in failure that exists in conventional accelerometers based on the parallelplate configuration. With initial fabrication gap of 2:75um, the accelerometer can reach a 4:2um dynamical displacement amplitude. The accelerometer is tested up to 95(V) without exhibiting pull-in failure. For comparison, the pull-in voltage of an accelerometer with same dimensions but with conventional parallel-plate electrode configuration is 0:8(V). The MEMS device is fabricated ...