Engineering Commons^™

Low-Velocity Drop Weight Impact And Compression After Impact Properties Of Symmetric Quasi-Isotropic Cfrtp Composites, Youyi Zhou, Kyungbin Min

Research & Creative Achievement Day

Low-velocity impact properties and residual compression strength after impact performance are used to evaluate composite materials for many applications. In this research, low-velocity drop-weight impact and compression after impact performance of four continuous fiber reinforcement thermoplastic (CFRTP) composites are investigated. Quasi-isotropic samples of GF/PP, CF-PA12, CF-PA6, GF-PA6 were fabricated and tested according to ASTM standards. Three energy levels of 10, 15, and 20 J/mm, were employed in this research. Results indicate that GF/PP exhibits the highest damage resistance and rebound-ability, evidenced by its minimal indentation and damage area, the highest significant damage threshold force, and the highest ratio of impact …

Multi-Rotor Hexicopter, Corbin G. Beard, Payton Riddle, John Washburn, Nate Burckhartzmeyer, Alejandro Gamez

ATU Research Symposium

The Multi-Rotor Hexicopter is an original design for an eighteen motor, hydrogen fuel cell powered drone. After initial success with the hydrogen fuel cell powered drone created by previous students, our goal was take their success and create a much larger drone that could be controlled both from the ground and in the air. Our design was based on a drone created by the company Lift Aircraft. The drone is separated into four components that were designed in Autodesk Inventor. The bottom, known as the sled, is used for the storage of the two hydrogen fuel tanks. The second section, …

Hybrid Pv-Teg System, Anna-Marie Pesaresi, Paige Woolheater, Chance Eoff, Nicholas Colburn

ATU Research Symposium

This research is focused on an innovative approach to improving the efficiency of a well- established renewable energy source. Solar cells are becoming more prominent as the power industry is shifting towards using more clean energy sources. Photovoltaic (PV) solar cells can only absorb a portion of the irradiance spectrum. The portion that is not absorbed raises the temperature of the system. The efficiency of PV cells drastically decreases as the temperature of the module rises and more energy is lost in the form of heat waste. Thermoelectric generator (TEG), when combined with PV cell, thrives off of the PV …

Processing And Testing Commodity And Engineering Cfrtp Composites, Delia M. Derner, Kristine Osorio

Research & Creative Achievement Day

Commodity thermoplastic polymers provide good load transfer to and protection of the reinforcing fibers.  However, their mechanical properties are inferior to high-performance thermoplastic polymer composites.  Findings of preliminary research conducted at WSU showed that continuous fiber reinforced (CFR) commodity polymers such as PETG and PP have better Izod impact resistance than their high-performance CFR counterparts.  Further investigation of these findings is conducted in this research project.  Quasi-isotropic laminates of GF/PETG and GF/PET-am are fabricated and tested in drop weight impact.  The results will be compared with previously determined results of high-performance CF/PPS, CF/PA12 and GF/PPS.  The samples are fabricated using …

Environmental Health Impacts Of Small-Scale Gold Mining In East Indonesia: Mercury Pollution And Nature Conservation, Tri Edhi Budhi Soesilo, Nada Ismita Hawa, Nuraeni Nuraeni

Journal of Sustainable Mining

The expansion of small-scale gold mining impacts environmental health and socioeconomic. Research in Bombana District, one of the gold mining centers in eastern Indonesia, was conducted to explore perceptions of the impact of small-scale gold mining on human health and attitudes towards environmental conservation activities related to small-scale gold mining activities. This research uses a quantitative approach with univariate tests to identify respondent characteristics, bivariate tests (Chi-square) to test relationships and frequency differences, and multivariate analysis (regression) to test the direction and magnitude of the relationship. The perception of the impact of small-scale gold mining on human health was not …

Enhancing Disease Detection In South Asian Freshwater Fish Aquaculture Through Convolutional Neural Networks, Hayin Tamut, Musfikur Rahaman, Dr. Robin Ghosh

ATU Research Symposium

Aquaculture expansion necessitates innovative disease detection methods for sustainable production. This study investigates the efficacy of Convolutional Neural Networks (CNNs) in classifying diseases affecting South Asian freshwater fish species. The dataset comprises 1747 images representing 7 class, healthy specimens and various diseases: bacterial, fungal, parasitic, and viral. The CNN architecture includes convolutional layers for feature extraction, max-pooling layers for down sampling, dense layers for classification, and dropout layers for regularization. Training employs categorical cross-entropy loss and the Adam optimizer over 30 epochs, monitoring both training and validation performance. Results indicate promising accuracy levels, with the model achieving 92.14% and test …

Ergo Carbon Workspace, Ethan C. Atkinson, Joshua N. Hanner, Rachel A. Henderson, Anders Nielsen, Mohamed A. Salat

Research & Creative Achievement Day

The goal of the Ergo Carbon Workspace is to create a monitor stand that is both lightweight and easily transportable, catering to the needs of modern workspaces. Constructed from carbon fiber, epoxy resin, and a honeycomb core, this design emphasizes portability without sacrificing durability. Incorporating aerospace-grade honeycomb core as well as braided carbon fiber epoxy struts bolsters structural integrity while maintaining a lightweight part. The Ergo Carbon Workspace design facilitates effortless assembly and disassembly, simplifying transportation and packaging. Through the utilization of composite materials, the stand achieves an optimal balance of strength and portability. Ergo Carbon Workspace will also incorporate …

Anomaly Detection With Spiking Neural Networks (Snn), Shruti Bhandari, Vyshnavi Gogineni

ATU Research Symposium

Abstract:

Anomaly detection, the identification of rare or unusual patterns that deviate from normal behavior, is a fundamental task with wide-ranging applications across various domains. Traditional machine learning techniques often struggle to effectively capture the complex temporal dynamics present in real-world data streams. Spiking Neural Networks (SNNs), inspired by the spiking nature of biological neurons, offer a promising approach by inherently modeling temporal information through precise spike timing. In this study, we investigate the use of Spiking Neural Networks (SNNs) for detecting anomalies or unusual patterns in data. We propose an SNN model that can learn what constitutes normal …

Radiative Cooling For Energy-Efficient Power Generation, Rickia Hanna

Celebrating Scholarship and Creativity Day (2018-)

This thesis examined radiative cooling on a small scale using a hybrid photovoltaic/radiative cooling model system, to determine its efficiency for large-scale power generation. Radiative cooling is concerned with heat transfer and this thesis’s main goal is to harness that heat energy to produce electricity. The efficiency of the system was tested using various light sources at different angles and total power output. The testing was done several times and there proved to be a proportional relationship between light intensity and current output. However, due to the performance threshold of the PTEC module, the component of the system used to …

Advancing Brain Tumor Segmentation With Spectral–Spatial Graph Neural Networks, Sina Mohammadi, Mohamed Allali

Engineering Faculty Articles and Research

In the field of brain tumor segmentation, accurately capturing the complexities of tumor sub-regions poses significant challenges. Traditional segmentation methods usually fail to accurately segment tumor subregions. This research introduces a novel solution employing Graph Neural Networks (GNNs), enriched with spectral and spatial insight. In the supervoxel creation phase, we explored methods like VCCS, SLIC, Watershed, Meanshift, and Felzenszwalb–Huttenlocher, evaluating their performance based on homogeneity, moment of inertia, and uniformity in shape and size. After creating supervoxels, we represented 3D MRI images as a graph structure. In this study, we combined Spatial and Spectral GNNs to capture both local and …

Critical Raw Material In Mineral Elements Found In Fly Ashes From The Czech Republic Power Plant, Agnieszka Klupa

Journal of Sustainable Mining

The economic development of EU countries is limited due to limited access to a number of mineral raw materials, which necessitates actions aimed at securing the supply of CRM. For this reason, CRMs constitute elements of particular importance for the EU. The aim of the study was to assess the content of CRMs as a potential source of REY in fly ash resulting from the coal combustion in one of the power plants in the Czech Republic. In the tested ash the main phases are: glassy phase, mullite and quartz. The chemical composition of the tested fly ashes showed dominance …

Breast Cancer Risk In Women With Breast Bilateral Asymmetry: Machine Learning Based Risk Analysis And Mitigation Through Developing A Framework For Customized Bra Design, Xi Feng

Electronic Thesis and Dissertation Repository

Breast cancer is the most prevalent form of cancer globally, accounting for 12.5% of all new cases annually. Research has found a significant correlation between breast bilateral asymmetry and an increased risk of cancer, with women diagnosed with breast cancer having higher levels of bilateral asymmetrical breast volume. Unfortunately, 87% of women with breast asymmetry lack adequate tools for assessing their cancer risk. Early screening using bilateral asymmetry to predict a woman's long-term risk of breast cancer can help physicians make informed decisions about whether to recommend sequential imaging and the frequency of screening. Another important factor in understanding the …

Data Set: The Analysis Of Lava Flow Path Using Remote Sensing Techniques And Geomorphological Techniques: The Case Of Volcano Eruptions In Afar Region Of Ethiopia, Oluwatosin Ayo, Jae Sung Kim

Michigan Tech Research Data

Natural disasters pose significant threats to the environment and make land unsuitable for man. The lava from volcanic eruptions rapidly moves on the Earth surface and affects both natural and man-made features on the Earth. Remote sensing is relevant in extracting information about the areas affected by lava flows without physically visiting such areas. The objective of this study is to develop a workflow for determining the optimal ground sample distance of a digital elevation model to delineate the lava flow paths using object-based image analysis and geomorphologic analysis. For the experiment, the satellite images and digital elevation model of …

Nanozyme-Based Sensing Of Dopamine Using Cobalt-Doped Hydroxyapatite Nanocomposite From Waste Bones, Umar Nishan, Nighat Jabeen, Amir Badshah, Nawshad Muhammad, Mohibullah Shah, Irfan Ullah, Saifullah Afridi, Jibran Iqbal, Muhammad Asad, Riaz Ullah, Essam A. Ali, Sarfraz Ahmed, Suvash Chandra Ojha

All Works

Dopamine is one of the most important neurotransmitters and plays a crucial role in various neurological, renal, and cardiovascular systems. However, the abnormal levels of dopamine mainly point to Parkinson’s, Alzheimer’s, cardiovascular diseases, etc. Hydroxyapatite (HAp), owing to its catalytic nature, nanoporous structure, easy synthesis, and biocompatibility, is a promising matrix material. These characteristics make HAp a material of choice for doping metals such as cobalt. The synthesized cobalt-doped hydroxyapatite (Co-HAp) was used as a colorimetric sensing platform for dopamine. The successful synthesis of the platform was confirmed by characterization with FTIR, SEM, EDX, XRD, TGA, etc. The platform demonstrated …

Wireless Insights Into Cognitive Wellness: A Paradigm Shift In Alzheimer’S Detection Through Ultrathin Wearable Antennas, Fatma Taher, Moath Alathbah, M. Abdel-Aleim M., Thamer Alghamdi, Mohamed Fathy Abo Sree, Sara Yehia Abdel Fatah

All Works

The Proposed algorithm, designed to simulate an Alzheimer’s disease (AD) brain model across different stages, presents an invaluable opportunity for further research and in-depth study of the effects of AD. Currently, there is a notable absence of a comprehensive simulated model for the AD brain that allows the exploration of all AD biomarkers within a simulation tool. This represents a crucial advancement in the field, enabling researchers to thoroughly investigate and understand the diverse biomarkers associated with AD without resorting to highly expensive and ionizing radiation techniques. The algorithm’s capability to emulate various stages of AD in a simulated environment …

Induced Oxidation Effects On Physical And Mechanical Properties Of Lignite From Tempoku, Hokkaido, Japan For Sustainable Mining Via Subsurface Cultivation And Gasification Method, Akm Badrul Alam, Noritaka Aramaki, Shuji Tamamura, Akio Ueno, Takuma Murakami, Yoshiaki Fujii, Katsuhiko Kaneko

Journal of Sustainable Mining

The lignite resource has been under consideration for the subsurface cultivation and gasification (SCG) method to produce biomethane from lignite in Hokkaido, Japan. The primary phase of the method entails initiating the oxidative transformation of lignite using an H₂O₂ solution, resulting in the formation of dissolved organic carbon (DOC), a pivotal component. To examine the effects of induced oxidation on lignite's mechanical properties, artificial oxidation tests were conducted to form DOC. While there was a slight decrease in P-wave velocity and density, the uniaxial compression and indirect tensile strengths, as well as stiffness, did not decrease. These …

Gps-Denied Localization Of Landing Evtol Aircraft, Aaron C. Brown

Theses and Dissertations

This thesis presents a dedicated GPS-denied landing system designed for electric vertical takeoff and landing (eVTOL) aircraft. The system employs active fiducial light pattern localization (AFLPL), which provides highly accurate and reliable navigation during critical landing phases. AFLPL utilizes images of a constellation comprised of modulating infrared lights strategically positioned on the landing site, to determine the aircraft pose through the use of a perspective-n-point (PnP) solver. The AFLPL system underwent thorough development, enhancement, and implementation to address and demonstrate its potential in navigation and its inherent limitations. A proposed method addresses the limitations of AFLPL by using an extended …

A Hybrid Communication System Using 5g Cellular And Ads-B For Uavs In High-Density Airspaces, Coulton Lee Karch

Theses and Dissertations

Robust communication is required to provide a safe airspace for the large numbers of unmanned aerial systems that are coming to the National Airspace System (NAS). This thesis explores methods for providing robust communication to large numbers of vehicles in the NAS. Automatic dependent surveillance-broadcast (ASD-B) is a transmission system that can transmit to and is currently required on all manned aircraft. Unfortunately, ADS-B suffers connectivity problems when supporting large numbers of unmanned aerial systems (UAS). The 5G Cellular protocol can support large numbers of UAS, but connectivity suffers with an increase in distance and interference. Using a 5G cellular …

Modified Coulomb Approach For Squat Silos, Mitchell Cade South

Theses and Dissertations

Traditional methods for calculating lateral pressures in silos, such as Janssen's Method and Coulomb's Method, have limitations due to the underlying assumptions of each methodology. This research investigates an approach which adapts Coulomb's Method to account for the cylindrical geometry of silos. The Silo Wedge Method (SWM) distinguishes between two cases based on the aspect ratio (height/diameter) of the silo. Comparative analysis reveals that the SWM accurately matches Coulomb's Method for linear retaining walls when the silo aspect ratio approaches zero. As the aspect ratio increases above 0.25, the SWM exhibits behavior similar to Janssen's Method. This suggests a potential …

Microplastics Fouling Mitigation In Forward Osmosis Membranes By The Molecular Assembly Of Sulfobetaine Zwitterion, Javad Farahbakhsh, Mitra Golgoli, Mehdi Khiadani, Amir Razmjou, Masoumeh Zargar

Research outputs 2022 to 2026

Forward osmosis (FO) membranes have potential for the efficient water and wastewater treatment applications. However, their development has faced significant challenges due to their fouling propensity. In this study, FO membranes modified with sulfobetaine zwitterions (i.e., [2-(Methacryloyloxy)ethyl]dimethyl-(3-sulfopropyl) ammonium hydroxide) were fabricated and used for the first time to address microplastic (MP) fouling issue. Water flux, reverse salt flux (RSF), fouling, and flux recovery were evaluated for the membranes loaded with different quantities of the zwitterions ranging from 0.25 % to 2 %. The developed membranes were tested over 49 h with feed solutions containing polyethylene MPs and bovine serum albumin …

Soil Stabilization With Gypsum: A Review, Yasaman Abdolvand, Mohammadhossein Sadeghiamirshahidi

Michigan Tech Publications, Part 2

The demand for sustainable ground improvement methods is rising as urban development expands into areas with challenging soil conditions. Traditional approaches, mostly reliant on cement and lime, contribute significantly to anthropogenic greenhouse gas emissions. Researchers, therefore, are constantly searching for new environmentally friendly stabilization methods to improve the engineering properties of soils. One alternative material used for this purpose is gypsum in its hydrated and dehydrated (hemihydrate/anhydrate) states. Not only can natural gypsum be used for ground improvement but also industrial waste and by-products (e.g. used or waste plasterboard, phosphogypsum, flue gas desulfurization gypsum, titanium dioxide production gypsum by-product) can …

Systems, Models, And Simulation For Novel Microfabrication Of Silicon Carbide And Metal Mesh Filters, Hunter R. J. Stevenson

Theses and Dissertations

As the boundaries of Moore's Law rapidly approach, research is increasingly turning to exotic materials and metamaterials to advance the capabilities of electronic and micromechanical systems. This thesis presents systems, models, and simulation techniques for novel microfabrication in the realms of silicon carbide (SiC) and metal mesh filters. Through the unification of femtosecond laser pulses, high numerical aperture (NA) objective lenses, and system power and motion control, a system capable of achieving arbitrary 3D features without line-of-sight with aspect ratios up to 109:1 in SiC is developed. Additionally, a model of a direct-write femtosecond-laser-ablation fabricated metal mesh filter (MMF) is …

Tunable Dual-Phase Dual-Drug Delivery System Using A Plga Microparticle/Pva Hydrogel Composite, Timothy John Eck

Theses and Dissertations

Current drug-eluting coatings have demonstrated controlled long-term, sustained release but have only tried to mitigate short-term burst release as a negative side effect. For applications like wound healing, there is a need for a drug-eluting coating which is adjustable in both short- and long-term release, independent of each other. We present a tunable dual-phase dual-drug delivery coating composed of drug-loaded polymer microparticles and drug-loaded hydrogel which can control short term and long term release individually in this study. This coating was created using lidocaine and dexamethasone encapsulated in poly(D,L-lactide-co-glycolide) particles combined with lidocaine- and dexamethasone-loaded poly(vinyl alcohol) hydrogel. Hydrogel drug …

Improving Wifi Sensor Network Security Through Unassociated Device Communication Using Wireless Latency Shift Keying, Jacob Edward Johnson

Theses and Dissertations

IEEE 802.11 (WiFi) only has two modes of trust--complete trust or complete untrust. The lack of nuance leaves no room for sensors that a user does not fully trust, but wants to connect to their network, such as a WiFi sensor. Solutions exist, but they require advanced knowledge of network administration. We solve this problem by introducing a new way of modulating data in the latency of the network, called Latency Shift Keying. We use specific characteristics of the WiFi protocol to carefully control the latency of just one device on the network. We build a transmitter, receiver, and modulation …

Investigation Of Segregation In Mixing Pharmaceutical Powders Using Passive Acoustic Emissions In A V-Blender, Omar Salem

Electronic Thesis and Dissertation Repository

Powder mixing is a crucial and complex step in pharmaceutical production. Monitoring of mixing and segregation processes can be achieved using process analytical technologies to improve product quality. Passive acoustic emissions were examined during mixing in a V-blender. Vibrations from the emissions were measured through an accelerometer affixed to the outer V-shell arm lid. Horizontal and vertical loading configurations of particles were examined. Stable mixtures were reached when the measured amplitude plateaued around the approximate weighted average of the particles in the outer V-shell arm. Horizontal loading trials mixed faster and reached stable mixtures in fewer revolutions than vertical loading …

Box Packaging Waste Reduction By Largest Area First Fit Algorithm And Minimum Cuboid Estimation Of Irregular Shape Products, Jimmy Kwon, Sungmin Kwon

Journal of Applied Packaging Research

Nowadays, packaging waste is a prevalent issue due to the increase in deliveries from online shopping. In this research paper, a new approach to the issue of cardboard box packaging waste is proposed by selecting an optimal box that will contain both regular and irregular products while minimizing wasted volume. The method can be utilized so that packaging workers can select an appropriate, yet sustainable box. For computing a minimal cuboid of irregular objects, the system setup with two cameras is prepared to capture the overhead and sideview images, estimating the box's width, depth, and height in pixels. The proposed …

Deficiencies In Safe Practices By Pilots Operating General Aviation Aircraft In Weather Conducive For Icing, Douglas Boyd Phd, Thomas Guinn Phd

Journal of Aviation Technology and Engineering

Introduction: Flights of general aviation aircraft in icing conditions pose safety hazards especially since few airplanes are equipped with ice protection systems (FIKI). Herein, we sought to answer the following questions not previously addressed: (i) Has the general aviation icing-related accident rate declined over time? (ii) Which phase(s) of flight lead(s) to the highest fraction of fatal accidents? (iii) Do general aviation pilots adhere to safe practices when operating in forecasted icing?

Methods: Retrospectively, icing-related accidents were per the National Transportation Safety Board database. Prospectively, non-FIKI single-engine airplanes, operating in forecasted icing, were tracked (January–March 2023) using FlightAwareR. Presumptive icing …

A Reputation System For Provably-Robust Decision Making In Iot Blockchain Networks, Charles C. Rawlins, Sarangapani Jagannathan, Venkata Sriram Siddhardh Nadendla

Electrical and Computer Engineering Faculty Research & Creative Works

Blockchain systems have been successful in discerning truthful information from interagent interaction amidst possible attackers or conflicts, which is crucial for the completion of nontrivial tasks in distributed networking. However, the state-of-the-art blockchain protocols are limited to resource-rich applications where reliably connected nodes within the network are equipped with significant computing power to run lottery-based proof-of-work (pow) consensus. The purpose of this work is to address these challenges for implementation in a severely resource-constrained distributed network with internet of things (iot) devices. The contribution of this work is a novel lightweight alternative, called weight-based reputation (wbr) scheme, to classify new …

Application Of The Immobilized Low-Activity Waste Glass Corrosion Model To The Static Dissolution Of 24 Statistically-Designed Alkali-Borosilicate Waste Glasses, Sebastien N. Kerisit, James J. Neeway, Charmayne E. Lonergan, Benjamin Parruzot, Jarrod V. Crum, Richard C. Daniel, Gary L. Smith, R. Matthew Asmussen

Materials Science and Engineering Faculty Research & Creative Works

Glass corrosion models that capture the complex mechanisms of the glass-water reaction enable the prediction of nuclear waste glass durability in disposal scenarios. Parameterization of such models is challenging because of the need to capture changes in corrosion behavior with time, reaction conditions, and glass composition. Here, we describe and employ the ILAW (immobilized low-activity waste) glass corrosion model (IGCM) in geochemical simulations of static dissolution tests, at two temperatures (40 °C and 90 °C), for a matrix of 24 enhanced low-activity waste (eLAW) glasses statistically designed to cover a processable composition space defined by 8 major glass components (Al …

Decoding Crystallization Behavior Of Aluminoborosilicate Glasses: From Structural Descriptors To Quantitative Structure – Property Relationship (Qspr) Based Predictive Models, Yingcheng Zhang, Marco Bertani, Alfonso Pedone, Randall E. Youngman, Gregory Tricot, Aditya Kumar, Ashutosh Goel

Materials Science and Engineering Faculty Research & Creative Works

Successful decoding of structural descriptors controlling the crystallization in multicomponent functional glasses can pave the way for the transition from the trial-and-error approach and empirical modeling for glass/glass-ceramic composition design toward more rational and scientifically rigorous Quantitative Structure-Property Relationship (QSPR) based models. However, due to the compositional and structural complexity of multicomponent glasses and the longer time and length scales associated with nucleation, the development and validation of QSPR models are still in it's infancy. The work presented in the article is an attempt to leap forward in this pursuit by combining the strengths of experimental and computational materials science …