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Full-Text Articles in Engineering

The Design And Cell-Free Protein Synthesis Of A Pembrolizumab Single-Chain Variable Fragment, Landon E. Ebbert, Tyler J. Free, Mehran Soltani, Bradley Charles Bundy Jan 2025

The Design And Cell-Free Protein Synthesis Of A Pembrolizumab Single-Chain Variable Fragment, Landon E. Ebbert, Tyler J. Free, Mehran Soltani, Bradley Charles Bundy

Faculty Publications

Background/Objectives: Cancer is a leading cause of death. However, recently developed immunotherapies have shown significant promise to improve cancer treatment outcomes and survival rates. Pembrolizumab, a cancer immunotherapy drug, enables a strong T-cell response specifically targeting cancer cells to improve patient outcomes in more than 16 types of cancer. The increasing demand for pembrolizumab, the highest selling drug in 2023, increases global dependence on drug production, which can be vulnerable to supply chain disruptions. Methods: Cell-free protein synthesis (CFPS) is a rapid in vitro protein production method that could provide the production of an immunotherapy drug in an emergency and …


Stabilizing A Bio-Inspired Rotating Empennage Fighter Aircraft In Multiple Trim Scenarios, Benjamin C. Moulton, Matthew W. Harris, Douglas F. Hunsaker Jan 2025

Stabilizing A Bio-Inspired Rotating Empennage Fighter Aircraft In Multiple Trim Scenarios, Benjamin C. Moulton, Matthew W. Harris, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

This paper considers the problem of stabilizing a bio-inspired fighter aircraft at its Air Combat Maneuver Condition in steady level and coordinated-turning flight. The aircraft equations of motion are linearized, and an infinite-horizon linear quadratic regulator design is conducted. The open-loop system is unstable in the short period and Dutch roll modes. This is mitigated in the closed-loop system, which is analyzed in the time and frequency domains. Included in the simulation dynamics are first-order actuator models, actuator deflection limits, and actuator rate limits. These are particularly important for this bio-inspired aircraft because control actuation requires rotation of the empennage, …


System Dynamics For Manufacturing: Supply Chain Simulation Of Hemp-Reinforced Polymer Composite Manufacturing For Sustainability, Gurinder Kaur, Ronald Kander Jan 2025

System Dynamics For Manufacturing: Supply Chain Simulation Of Hemp-Reinforced Polymer Composite Manufacturing For Sustainability, Gurinder Kaur, Ronald Kander

School of Design and Engineering Papers

Supply chain management (SCM) involves complexities and uncertainties in the flow of goods and services from raw materials to end users. Inaccurate estimation of raw materials, labor, or equipment can lead to financial losses and environmental impacts. This study explores the application of system dynamics modeling (SDM) in manufacturing hemp-reinforced polymer composites (HRPC) to optimize resource usage. Using SDM software STELLA® (Version 3.7.3), selected for its affordability and features, the research demonstrates how system dynamics (SD) can enhance sustainability by minimizing materials, labor, and equipment, reducing energy consumption. A literature review identified a gap in existing research, as we …


An Innovative Nh2-Uio-66/Nh2-Mil-125 Mof-On-Mof Structure To Improve The Performance And Antifouling Properties Of Ultrafiltration Membranes, Javad Farahbakhsh, Mitra Golgoli, Mohadeseh Najafi, Seyedeh Zahra Haeri, Mehdi Khiadani, Amir Razmjou, Masoumeh Zargar Jan 2025

An Innovative Nh2-Uio-66/Nh2-Mil-125 Mof-On-Mof Structure To Improve The Performance And Antifouling Properties Of Ultrafiltration Membranes, Javad Farahbakhsh, Mitra Golgoli, Mohadeseh Najafi, Seyedeh Zahra Haeri, Mehdi Khiadani, Amir Razmjou, Masoumeh Zargar

Research outputs 2022 to 2026

The careful design of distinctive membrane layers with specific pore structures is a crucial aspect of membrane fabrication. Previous efforts in metal–organic framework (MOF) based membranes have predominantly employed a single MOF material for improving membrane resistance to fouling due to microplastics and proteins. Here, a novel, highly specialised ultrafiltration (UF) membrane is developed through the in-situ growth of NH2-UiO-66 on the NH2-MIL-125 (MOF-on-MOF) crystals to improve membranes’ performance such as pure water flux (PWF), rejection, and antifouling properties. The developed membranes displayed multidimensional pores, leading to a significant enhancement in fouling resistance while achieving remarkable improvements in water flux. …


Feasibility And Acceptability Of The Mazi Umntanakho Digital Tool In South African Settings: A Qualitative Evaluation, Catherine E. Draper, Caylee J. Cook, Elizabeth A. Ankrah, Jesus A. Beltran, Franceli L. Cibrian, Kimberley D. Lakes, Hanna Mofid, Lucretia Williams, Gillian R. Hayes Jan 2025

Feasibility And Acceptability Of The Mazi Umntanakho Digital Tool In South African Settings: A Qualitative Evaluation, Catherine E. Draper, Caylee J. Cook, Elizabeth A. Ankrah, Jesus A. Beltran, Franceli L. Cibrian, Kimberley D. Lakes, Hanna Mofid, Lucretia Williams, Gillian R. Hayes

Engineering Faculty Articles and Research

To address the need for interventions targeting social emotional development and mental health of young children in South Africa, the Mazi Umntanakho (‘know your child’) digital tool was co-designed, and piloted with caregivers and 3–5-year-old children involved in home visiting programmes promoting early childhood development. The aim of this study was to qualitatively evaluate the feasibility and acceptability of this tool in four urban and four rural low-income communities, from the perspective of home visitors and caregivers. Focus groups were conducted with home visitors (n = 117) and caregivers (n = 72). Issues relating to the feasibility of …


Optimization And Dft Study For Boosted Electooxidation Of Formic Acid At Niox Modified Pt Using Urea Derivatives As Blending Fuels, Aya Saada Jan 2025

Optimization And Dft Study For Boosted Electooxidation Of Formic Acid At Niox Modified Pt Using Urea Derivatives As Blending Fuels, Aya Saada

Biochemical Engineering

This paper addresses the enhancement of formic acid electrooxidation (FAO) at Pt and Pt-NiOx nanoparticles based-catalysts assisted with urea derivatives as blending fuels. Blending formic acid with various ratios of urea derivatives showed noticeable enhancements of FAO as demonstrated by a favorable negative shift of its onset potential (Eonset) and increase of its peak current density concurrently with suppression of the amount of CO poisoning reaction intermediate. Among all the used derivatives, phenyl urea (PU) showed superior enhancing effect towards the direct FAO with a minimal CO formation together with a favorable negative shift of Eonset by 150 mV. The …


Influence Of Process Parameter And Build Rate Variations On Defect Formation In Laser Powder Bed Fusion Ss316l, Tasrif Ul Anwar, Patrick Merighe, Rahul Reddy Kancharla, Boopathy Kombaiah, Nadia Kouraytem Jan 2025

Influence Of Process Parameter And Build Rate Variations On Defect Formation In Laser Powder Bed Fusion Ss316l, Tasrif Ul Anwar, Patrick Merighe, Rahul Reddy Kancharla, Boopathy Kombaiah, Nadia Kouraytem

Mechanical and Aerospace Engineering Student Publications and Presentations

Laser powder bed fusion (LPBF) is an additive manufacturing process that has gained interest for its material fabrication due to multiple advantages, such as the ability to print parts with small feature sizes, good mechanical properties, reduced material waste, etc. However, variations in the key process parameters in LPBF may result in the instantiation of porosity defects and variation in build rate. Particularly, volumetric energy density (VED) is a variable that encapsulates a number of those parameters and represents the amount of energy input from the laser source to the feedstock. VED has been traditionally used to inform the quality …


Chemical Damping Of The Motion Of A Piston: Irreversibilities Arising From Nonequilibrium Conditions On The Chemical Potential, David S. Corti, Mark J. Uline Jan 2025

Chemical Damping Of The Motion Of A Piston: Irreversibilities Arising From Nonequilibrium Conditions On The Chemical Potential, David S. Corti, Mark J. Uline

Faculty Publications

We revisit the thermodynamic analysis of an isothermal ideal gas mixture enclosed within a cylinder and separated from the surrounding atmosphere by a movable and frictionless piston. When equilibrium conditions based on the chemical potentials of one or more species in the mixture are not satisfied at all times, which occurs for example for a chemical reaction with finite and non-zero reaction rates in the forward and reverse directions and for mass transfer of one species across a permeable membrane occurring at a finite and non-zero rate, an irreversibility is necessarily introduced into the system with a resulting increase in …


A Comparison Of Energy Dispersive Spectroscopy In Transmission Scanning Electron Microscopy With Scanning Transmission Electron Microscopy, Jennifer L.W. Carter, Tugce Karakulak Uz, Jeffrey S. Pigott Jan 2025

A Comparison Of Energy Dispersive Spectroscopy In Transmission Scanning Electron Microscopy With Scanning Transmission Electron Microscopy, Jennifer L.W. Carter, Tugce Karakulak Uz, Jeffrey S. Pigott

Faculty Scholarship

The objective of this work was to explore the capabilities of a field emission gun scanning electron microscope (FEG-SEM) equipped with a transmission scanning electron detector (TSEM) and energy dispersive spectroscopy (EDS) to identify nanoscale chemical heterogeneities in a gas atomization reaction synthesis (GARS) steel sample. The results of this analysis were compared to the same study conducted with scanning transmission electron microscopy (STEM) with EDS mapping. TSEM-EDS was performed using the standard spectral analysis approach, i.e., pixel-by-pixel identification of elements from the spectra, and a new principal component analysis approach to detect regions of similar spectra before identifying elemental …


Desktop-Scale Robot Tape Manipulation For Additive Manufacturing, Nahid Tushar, Rencheng Wu, Yu She, Wenchao Zhou, Wan Shou Jan 2025

Desktop-Scale Robot Tape Manipulation For Additive Manufacturing, Nahid Tushar, Rencheng Wu, Yu She, Wenchao Zhou, Wan Shou

School of Industrial Engineering Faculty Publications

Advancements in additive manufacturing and robotic automation have enabled diverse fabrication techniques using various materials. However, small-scale tape placement for three-dimensional (3D) printing remains underexplored, with most research focused on large-scale composite manufacturing using carbon fiber prepreg tapes. This work presents an innovative, automated, and cost-effective tape placement system that extends traditional methods beyond carbon fiber prepreg. We developed a customized tape print module (TPM) integrated with a robotic arm, enabling precise and versatile tape placements. Our system supports non-linear toolpaths, complex patterns, and controllable placements on multi-plane surfaces, creating overhangs without support. We demonstrate circuit printing with copper tape …


A Comparison Of Energy Dispersive Spectroscopy In Transmission Scanning Electron Microscopy With Scanning Transmission Electron Microscopy, Jennifer Carter, Tugce Karakulak, Jeffrey Pigott Jan 2025

A Comparison Of Energy Dispersive Spectroscopy In Transmission Scanning Electron Microscopy With Scanning Transmission Electron Microscopy, Jennifer Carter, Tugce Karakulak, Jeffrey Pigott

Faculty Scholarship

The objective of this work was to explore the capabilities of a field emission gun scanning electron microscope (FEG-SEM) equipped with a transmission scanning electron detector (TSEM) and energy dispersive spectroscopy (EDS) to identify nanoscale chemical heterogeneities in a gas atomization reaction synthesis (GARS) steel sample. The results of this analysis were compared to the same study conducted with scanning transmission electron microscopy (STEM) with EDS mapping. TSEM-EDS was performed using the standard spectral analysis approach, i.e., pixel-by-pixel identification of elements from the spectra, and a new principal component analysis approach to detect regions of similar spectra before identifying elemental …


Modeling Virus Filtration: Materials, Applications, And Mechanism, Hironobu Shiritaki, Linda Gudex, Sumith R. Wickramasinghe Jan 2025

Modeling Virus Filtration: Materials, Applications, And Mechanism, Hironobu Shiritaki, Linda Gudex, Sumith R. Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

While various methods are employed to ensure the virus safety of finished products, virus filtration (VF) stands out as the preferred method for virus removal and purification of a wide variety of products owing to its capability of separating product molecules with more than 90% recovery and no change in molecule characteristics. The modeling of the virus removal process for VF membranes is based on the principles of microfiltration (MF) and ultrafiltration (UF), but with modifications for the much narrower separation difference, which is less than 2-fold for the separation of product molecules and virus particles. In this review, we …


Calcium Phosphate Formation And Deposition In Ischemic Neurons, Shu Q. Liu, John B. Troy, Jeremy Goldman, Roger J. Guillory Jan 2025

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 Jan 2025

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 …


Circular Dichroism In Achiral Metasurfaces Induced By Spatially Selective Coupling With Molecules, Baojuan Han, Xiaodong Yang, Jie Gao Jan 2025

Circular Dichroism In Achiral Metasurfaces Induced By Spatially Selective Coupling With Molecules, Baojuan Han, Xiaodong Yang, Jie Gao

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Achiral metasurfaces with near-field optical chirality have attracted great attention in molecular sensing and chiral emission control. Here, the circular dichroism (CD) response of an achiral metasurface induced by spatially selective coupling with polymethyl methacrylate (PMMA) molecules is demonstrated. A designed achiral metasurface with a V-shaped resonator exhibits large optical chirality with a strongly dissymmetric distribution under circular polarization. By introducing a PMMA molecule layer on top of the metasurface, which covers the area with large optical chirality, CD in absorption of 0.38 and a dissymmetric factor of optical chirality gc of 0.16 are obtained. Furthermore, an analysis of the …


Modeling, Design, And Laboratory Testing Of A Passive Friction Seismic Metamaterial Base Isolator (Pfsmbi), Shayan Khosravi, Mohsen Amjadian Jan 2025

Modeling, Design, And Laboratory Testing Of A Passive Friction Seismic Metamaterial Base Isolator (Pfsmbi), Shayan Khosravi, Mohsen Amjadian

Civil Engineering Faculty Publications

This paper focuses on the theoretical and analytical modeling of a novel seismic isolator termed the Passive Friction Mechanical Metamaterial Seismic Isolator (PFSMBI) system, which is designed for seismic hazard mitigation in multi-story buildings. The PFSMBI system consists of a lattice structure composed of a series of identical small cells interconnected by layers made of viscoelastic materials. The main function of the lattice is to shift the fundamental natural frequency of the building away from the dominant frequency of earthquake excitations by creating low-frequency bandgaps (FBGs) below 20 Hz. In this configuration, each unit cell contains an inner resonator that …


Associations Between Social Determinants Of Health And Mental Health Disorders Among U.S. Population: A Cross-Sectional Study, S. Tanarsuwongkul Jan 2025

Associations Between Social Determinants Of Health And Mental Health Disorders Among U.S. Population: A Cross-Sectional Study, S. Tanarsuwongkul

Faculty Publications

Aims

The impact of social determinants of health (SDOH) on mental health is increasingly realized. A comprehensive study examining the associations of SDOH with mental health disorders has yet to be accomplished. This study evaluated the associations between five domains of SDOH and the SDOH summary score and mental health disorders in the United States.

Methods

We analyzed data from a diverse group of participants enrolled in the All of Us research programme, a research programme to gather data from one million people living in the United States, in a cross-sectional design. The primary exposure was SDOH based on Healthy …


Direct Graphene Growth On Low-Alloy And Mild Steel Surfaces Controlled By Carbon Solubility And Surface Microstructural Transformations During Chemical Vapor Deposition, Kaleb Hood, Nam Nguyen, Sebastian Lara, Adan Velasquez, Samuel Olson, Yi Xia, Jun Jiao Jan 2025

Direct Graphene Growth On Low-Alloy And Mild Steel Surfaces Controlled By Carbon Solubility And Surface Microstructural Transformations During Chemical Vapor Deposition, Kaleb Hood, Nam Nguyen, Sebastian Lara, Adan Velasquez, Samuel Olson, Yi Xia, Jun Jiao

Mechanical and Materials Engineering Faculty Publications and Presentations

This study demonstrates for the first time, graphene grown directly on the iron-rich surfaces of bulk 8620 low-alloy and 1018 mild steel by chemical vapor deposition, a key step toward developing thin graphene coatings with strong graphene-steel bonding. Low growth temperatures of 660 °C–680 °C, were used to manipulate the steel's carbon solubility, confining carbon diffusion and microstructural transformations to the surface regions, with the bulk relatively unchanged. For 1018, a growth temperature of 680 °C resulted in a multilayer graphene coating with 80 % coverage. The alloying elements in 8620 improved graphene formation by influencing the surface microstructure transformations …


Online Energy Consumption Forecast For Battery Electric Buses Using A Learning-Free Algebraic Method, Zejiang Wang, Guanhao Xu, Ruixiao Sun, Anye Zhou, Adian Cook, Yuche Chen Jan 2025

Online Energy Consumption Forecast For Battery Electric Buses Using A Learning-Free Algebraic Method, Zejiang Wang, Guanhao Xu, Ruixiao Sun, Anye Zhou, Adian Cook, Yuche Chen

Faculty Publications

Accurately predicting the energy consumption plays a vital role in battery electric buses (BEBs) route planning and deployment. Based on the algebraic derivative estimation, we present a novel method to forecast the energy consumption in real time. In contrast to the mainstream machine-learning-based methods, the proposed method does not require access to the historical energy consumption data. It eliminates the time-consuming and computationally expensive offline training. Consequently, its prediction performance is not constrained by the quantity and quality of the training data. Moreover, the method can swiftly adapt to new situations not included in the previous driving cycles, which makes …


Transfer Learning For Thickener Control, Samuel Arce Munoz, John Hedengren Jan 2025

Transfer Learning For Thickener Control, Samuel Arce Munoz, John Hedengren

Faculty Publications

Thickener control is a key area of focus in the minerals processing industry, particularly due to its crucial role in water recovery, which is essential for sustainable resource management. The highly nonlinear nature of thickener dynamics presents significant challenges in modeling and optimization, making it a strong candidate for advanced surrogate modeling techniques. However, traditional data-driven approaches often require extensive datasets, which are frequently unavailable, especially in new plants or unexplored operational domains. Developing data-driven models without enough data representative of the dynamics of the system could result in incorrect predictions and consequently, unstable response of the controller. This paper …


2 Kv Al0.64Ga0.36N-Channel High Electron Mobility Transistors With Passivation And Field Plates, Md Tahmidul Alam, Jiahao Chen, Kenneth Stephenson, Md Abdullah-Al Mamun, Abdullah Al Mamun Mazumder, Shubhra S. Pasayat, Asif Khan, Chirag Gupta Jan 2025

2 Kv Al0.64Ga0.36N-Channel High Electron Mobility Transistors With Passivation And Field Plates, Md Tahmidul Alam, Jiahao Chen, Kenneth Stephenson, Md Abdullah-Al Mamun, Abdullah Al Mamun Mazumder, Shubhra S. Pasayat, Asif Khan, Chirag Gupta

Faculty Publications

High voltage (∼2 kV) Al0.64Ga0.36N-channel high electron mobility transistors were fabricated with an on-resistance of ∼75 Ω. mm (∼21 mΩ. cm2). Two field plates of variable dimensions were utilized to optimize the breakdown voltage. The breakdown voltage reached >3 kV (tool limit) before passivation however it reduced to ∼2 kV after Si3N4 surface passivation and field plate deposition. The breakdown voltage and on-resistance demonstrated a strong linear correlation in a scattered plot of ∼50 measured transistors. The fabricated transistors were electrically characterized and benchmarked against the state-of-the-art high-voltage (> 1 kV) …


Identifying The Effect Of Architecture Morphology On Wind Fields And Pm2.5 Dispersion At The Urban Block Scale Via A Combined Scheme, Bin Guo, Lu Li, Xiaowei Zhu, Zheng Wang, Miaoyi Chen, Lin Pei, Tengyue Guo Jan 2025

Identifying The Effect Of Architecture Morphology On Wind Fields And Pm2.5 Dispersion At The Urban Block Scale Via A Combined Scheme, Bin Guo, Lu Li, Xiaowei Zhu, Zheng Wang, Miaoyi Chen, Lin Pei, Tengyue Guo

Mechanical and Materials Engineering Faculty Publications and Presentations

This study explores the potential of architecture morphology to mitigate PM2.5 pollution through enhanced urban ventilation. Despite the recognized influence of building designs on wind and air pollution distribution at the urban block scale, specific mechanisms remain poorly understood. To address this gap, we have developed an integrative approach combining in-situ observations, Geographic Information System (GIS), Remote Sensing (RS), Computational Fluid Dynamics (CFD), and statistical modeling. Here, CFD simulates the flow field and PM2.5 dispersion, using in-situ observations for turbulence model selection. GIS quantify architecture morphology parameters to establish accurate CFD boundary conditions, ensuring simulations reflect real-world conditions and precise …


Cold-Plasma-Driven Ammonia Synthesis Over Porous Silica: The Role Of The Morphology, Fnu Gorky, Vashantu Storr, Jacek B. Jasinski, Maria L. Carreon Jan 2025

Cold-Plasma-Driven Ammonia Synthesis Over Porous Silica: The Role Of The Morphology, Fnu Gorky, Vashantu Storr, Jacek B. Jasinski, Maria L. Carreon

Chemical Engineering Faculty Publications and Presentations

Nonthermal plasma (NTP) has opened unexplored routes for small-scale, decentralized ammonia production. However, understanding the ammonia formation pathways when employing NTP-driven processes is challenging due to the complex nature of the process. In this work, we report the effects of the morphology and textural properties on ammonia production. Herein, we explore mesoporous and macroporous regimes in silica. Performance of mesoporous silica with a gyroid morphology displays the highest ammonia production rate of 160.7 mu mol/ming-cat at a plasma power of 15 W. The findings from this work provide insights into tailoring porous structures and morphology for ammonia production powered by …


Sno2 Modified Csh2Po4 (Cdp) Protonic Electrolyte For An Electrochemical Hydrogen Pump, Minal Gupta, Kangkang Zhang, Kevin Huang Jan 2025

Sno2 Modified Csh2Po4 (Cdp) Protonic Electrolyte For An Electrochemical Hydrogen Pump, Minal Gupta, Kangkang Zhang, Kevin Huang

Faculty Publications

CsH2PO4 (CDP) is a well-known super-protonic conductor. However, it must operate under high humidity conditions to prevent dehydration and fast conductivity decay. Herein, we report that adding hydrophilic SnO2 into CDP can suppress the rate of dehydration of CDP, thus stabilizing protonic conductivity over a broader range of water partial pressures (pH2O). A total of seven compositions of (1 − x)CDP/(x)SnO2 were prepared, where 5 ≤ x ≤ 40 (wt%), and examined for their phasal, microstructural, and vibrational properties using X-ray diffraction, field emission scanning electron microscopy, and …


Sno2 Modified Csh2Po4 (Cdp) Protonic Electrolyte For An Electrochemical Hydrogen Pump, Minal Gupta, Kangkang Zhang, Kevin Huang Jan 2025

Sno2 Modified Csh2Po4 (Cdp) Protonic Electrolyte For An Electrochemical Hydrogen Pump, Minal Gupta, Kangkang Zhang, Kevin Huang

Faculty Publications

CsH2PO4 (CDP) is a well-known super-protonic conductor. However, it must operate under high humidity conditions to prevent dehydration and fast conductivity decay. Herein, we report that adding hydrophilic SnO2 into CDP can suppress the rate of dehydration of CDP, thus stabilizing protonic conductivity over a broader range of water partial pressures (pH2O). A total of seven compositions of (1 - x)CDP/(x)SnO2 were prepared, where 5 ≤ x ≤ 40 (wt%), and examined for their phasal, microstructural, and vibrational properties using X-ray diffraction, field emission scanning electron microscopy, and Raman spectroscopy. The signature of H2O …


Preparation Of Low-Temperature Microencapsulated Phase Change Materials And Evaluation Of Their Effect On The Properties Of Asphalt Binders, Feng Ma, Jiasheng Dai, Yanzhe Zou, Zhen Fu, Jenny Liu, Pengkai Yang, Yingjie Hou, Xinye Jiang, Siqi Li Jan 2025

Preparation Of Low-Temperature Microencapsulated Phase Change Materials And Evaluation Of Their Effect On The Properties Of Asphalt Binders, Feng Ma, Jiasheng Dai, Yanzhe Zou, Zhen Fu, Jenny Liu, Pengkai Yang, Yingjie Hou, Xinye Jiang, Siqi Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Organic eutectic phase change materials (PCMs) hold significant promise as thermal storage agents for regulating the temperature of asphalt pavements. This study aims to evaluate the properties of low-temperature microencapsulated phase change materials (MPCMs) and their effect on modifying virgin asphalt. Three types of binary eutectic MPCMs were prepared, with tetradecane eutectically mixed with lauric, capric, and myristic acids, forming the composite core of the MPCMs. Melamine-urea-formaldehyde (MUF) resin was used as the wall material. The properties of the MPCMs were characterized through thermophysical and thermal stability analyses, micro-morphology observation, infrared spectroscopy, and mechanical strength tests. The preferred microcapsules were …


Identification And Analysis On Surface Deformation In The Urban Area Of Nanchang Based On Ps-Insar Method, Mengping Zhang, Jiayi Pan, Peifeng Ma, Hui Lin Jan 2025

Identification And Analysis On Surface Deformation In The Urban Area Of Nanchang Based On Ps-Insar Method, Mengping Zhang, Jiayi Pan, Peifeng Ma, Hui Lin

Civil and Environmental Engineering Faculty Publications and Presentations

Interferometric Synthetic Aperture Radar (InSAR) technology has emerged as a vital tool for monitoring surface deformation due to its high accuracy and spatial resolution. With the rapid economic development of Nanchang, extensive infrastructure development and construction activities have significantly altered the urban landscape. Underground excavation and groundwater extraction in the region are potential contributors to surface deformation. This study utilized Sentinel-1 satellite data, acquired between September 2018 and May 2023, and applied the Permanent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique to monitor surface deformation in Nanchang’s urban area. The findings revealed that surface deformation rates in the study area …


An Ultra-Low-Power 0.8 V, 60 Nw Temperature Sensor For Battery-Less Wireless Sensor Networks, Fnu Naveed, Jeff Dix Jan 2025

An Ultra-Low-Power 0.8 V, 60 Nw Temperature Sensor For Battery-Less Wireless Sensor Networks, Fnu Naveed, Jeff Dix

Electrical Engineering and Computer Science Faculty Publications and Presentations

This work presents a nano-watt digital output temperature sensor featuring a supply-insensitive, self-biased current source. Second-order temperature dependencies of the MOS diode are canceled to produce a stable reference and a linear temperature-sensitive voltage. The sensor integrates a sensing unit, voltage-controlled differential ring oscillators, and a low-power frequency-to-digital converter, utilizing a resistor-less design to minimize power and area. The delay element in the ring oscillator reduces stage count, improving noise performance and compactness. Fabricated in 65 nm CMOS, the sensor occupies 0.02 mm2 and consumes 60 nW at 25 °C and 0.8 V. Measurements show an inaccuracy of +1.5/−1.6 °C …


Investigating The Structure-Property Correlations Of Pyrolyzed Phenolic Resin As A Function Of Degree Of Carbonization, Ivan Gallegos, Vikas Varshney, Josh Kemppainen, Gregory Odegard Jan 2025

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 …


A Survey On Food Ingredient Substitutions, Hyunwook Kim, Revathy Venkataramanan, Amit P. Sheth Jan 2025

A Survey On Food Ingredient Substitutions, Hyunwook Kim, Revathy Venkataramanan, Amit P. Sheth

Publications

Diet plays a crucial role in managing chronic conditions and overall well-being. As people become more selective about their food choices, finding recipes that meet dietary needs is important. Ingredient substitution is key to adapting recipes for dietary restrictions, allergies, and availability constraints. However, identifying suitable substitutions is challenging as it requires analyzing the flavor, functionality, and health suitability of ingredients. With the advancement of AI, researchers have explored computational approaches to address ingredient substitution. This survey paper provides a comprehensive overview of the research in this area, focusing on five key aspects: (i) datasets and data sources used to …