Engineering Commons^™

Error-Based Dynamic Velocity Range Of Piv Processing Algorithms, Gauresh Raj Jassal, Bryan E. Schmidt

Faculty Scholarship

The ability of PIV processing algorithms to accurately determine velocity vectors across the range of motion present in PIV images is characterized by the algorithm’s dynamic velocity range (DVR). Conventionally, the DVR of PIV is defined using the ratio between the maximum and minimum resolvable particle displacements, with the minimum based on the uncertainty in the location of a single particle in the optical system. In this work, it is demonstrated that this definition is inadequate in practice, as it ignores many factors which affect the accuracy of an algorithm when determining small displacements, and the error in vectors with …

Uncertainty Propagation And Sensitivity Analysis For Constrained Optimization Of Nuclear Waste Vitrification, Lagrande Gunnell, Xiaonan Lu, John D. Vienna, Dong-Sang Kim, Brian J. Riley, John Hedengren

Faculty Publications

The vitrification of high-level waste (HLW) by heating a mixture of glass-forming chemicals (GFCs) with the waste can be improved using a constrained optimization problem. This study explores how different uncertainty propagation (UP) methods implemented with the optimization process can affect the glass formulation of nuclear waste glasses. UP is the effort of propagating uncertain inputs through a system to understand and quantify output distributions. Uncertainty intervals are crafted from output distributions to inform the optimization algorithm. UP is often implemented with Monte Carlo (MC) sampling for large nonlinear systems, which can be difficult to implement within a constrained optimization …

Effect Of Walking Speed And Asymmetric Loading On Human Gait, Dumitru I. Caruntu, Alfirio Trejo, Eric Rodriguez, Camila T. Alvarez Barriga

Research Symposium

Background: Human gait is influenced by factors such as walking speed and carrying heavy objects asymmetrically. Understanding these effects enhances rehabilitation research for individuals recovering from leg injuries. Clinical angles of the knee, derived from experimental data, provide insights into movement patterns, revealing abnormalities or compensations. Calculating these angles requires a joint coordinate system (JCS) for the knee joint.

Methods: This study employed the VICON motion analysis system with ten infrared cameras arranged circularly for comprehensive gait analysis. Reflective markers placed on anatomical landmarks facilitated motion capture, recorded at 100 Hz. Data processing included filtering, establishing a JCS, …

Seal For A Wave Rotor Disk Engine, Christopher Tait, Pejman Abkari, Brian Sell, Marc D. Polanka

AFIT Patents

A unique seal for a wave rotor disk engine is disclosed herein. The seal is operable for sealing a region between a rotor and a rotor casing. The seal is spring loaded and will engage with the tip of the rotor to reduce pressure loss within the wave rotor disk engine.

Understanding Ionic Transport In Perovskite Lithium-Ion Conductor Li3/8Sr7/16Ta3/4Hf1/4O3: A Neutron Diffraction And Molecular Dynamics Simulation Study †, Danyi Sun, Nan Wu, Yeting Wen, Shichen Sun, Yufang He, Ke Huang, Cheng Li, Bin Ouyang, Ralph E. White, Kevin Huang

Faculty Publications

Solid-state Li-ion electrolytes (SSEs) are essential for the development of next-generation solid-state Li-metal batteries and new Li-extraction electrochemical cells. Among these, the perovskite-type SSE Li3/8Sr7/16Ta3/4Hf1/4O3 (LSTH) has garnered attention for Li-extraction applications, owing to its outstanding chemical and thermal stability and high ionic conductivity. However, its precise crystal structure and Li-ion transport mechanisms remain insufficiently understood. This study addresses these gaps by employing neutron diffraction to resolve LSTH's crystallography and machine learning force field (MLFF) based MD simulations to elucidate ionic transport mechanisms. A single-phase LSTH, synthesized via the sol–gel method, exhibits a room-temperature bulk conductivity of 0.418 mS cm−1 …

Impact Of Drainage Parameters On Coal Fines Production In Cbm Wells: A Long-Term Monitoring Study Of Liulin Block, Ordos Basin, China, Ziliang Liu, Yingchun Wei, Daiyong Cao, Zhenjiang You, Jin Zhang, Tao Meng, Anmin Wang, Yujie Yuan

Research outputs 2022 to 2026

Coalbed methane (CBM) horizontal wells often experience significant coal fines production during the drainage process, which disrupts efficient CBM extraction. This study monitored key drainage parameters such as gas and water production rates, bottomhole flowing pressure, and casing pressure over an extended period. We analyzed fluid samples containing coal fines to understand their concentration, particle size distribution, and morphology. By correlating these findings with drainage parameters, we identified factors influencing coal fines production and the variation patterns in coal fines concentration. The results revealed that the concentration of produced coal fines ranged from 0.01 to 6.14 g/L, with particle sizes …

Muscle Force Analysis In Patients With Forefoot Amputees And Healthy Subjects During Walking, Anthony Melgar, Dumitru Caruntu, Javier La Fontaine, Luis Venegas, Hafizur Rahman

Research Symposium

Forefoot amputation, a type of partial foot amputation, involves the surgical disarticulation of either the interphalangeal or metatarsophalangeal joints. This procedure not only removes critical joint structures but also alters the positioning of associated muscles. Forefoot amputations significantly affect gait patterns and redistribute plantar pressure maps across the plantar surface of the foot. The phalanges are crucial in absorbing and redistributing plantar pressure during the gait cycle. The absence of phalanges and the loss of metatarsophalangeal joints alter the normal pressure distribution maps, possibly shifting peak pressure from one local foot region to another region of the foot. This research …

Magnetic And Optical Properties Of Airborne Dust Particles Nearby Coal-Fired Power Plants In Upper Silesia, Poland: A Mineralogical, Petrographical And Chemical Approach, Chrysoula Chrysakopoulou, Konstantinos Perleros, Małgorzata Wojtaszek-Kalaitzidi, Lambrini Papadopoulou, Nikolaos Kantiranis, Stavros Kalaitzidis

Journal of Sustainable Mining

Coal mining and exploitation pose certain challenges in terms of environmental management. The objective of this research is the study of airborne dust from Knurow region, Southern Poland, aiming to identify the level and the features of anthropogenic particles, mostly in the form of fly ash. Two samples collected from a domestic gutter system were analysed regarding their mineralogical, chemical and petrographical features, emphasizing the magnetic fraction and the carbonized organic particles. The airborne dust contains 22 wt.% of fossil and fresh organic matter, whereas the major mineralogical phase is magnetite. The magnetic fraction (up to 3 wt.%) appears in …

Sustainable Viscosity Prediction Of Hybrid Alumina- Copper Oxide Nanofluid For Green Heat Transfer Applications Using Adaptive Neuro-Fuzzy Inference System (Anfis), Mohammad Reza Chalak Qazani, Ganesan Kadirgama, Navid Aslfattahi, Devarajan Ramasamy, Lingenthiran Samylingam, Kumaran Kadirgama, Chee Kuang Kok, Mohd Fairusham Ghazali

The Nexus of Sustainability and Energy Technology Journal

Developing more energy-efficient, environmentally friendly heat transfer solutions is necessary. As a result, the application of nanofluids has attracted an increasing amount of attention. This paper shows a new method for predicting the viscosity of hybrid alumina-copper oxide nanofluid. The Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to predict the abovementioned physical property of the fluid dispersed in Therminol 55; a medium-temperature medium. The concentration of nanoparticles, temperature, and shear rate were found to be the major input factors. In comparison to Decision Trees (DT) and Support Vector Regression (SVR), the ANFIS method model was more effective, yielding a Root …

Investigation Of Heat Transfer Rate In Automotive Radiator With Graphene Nanofluid With Simulation, M. Afareez Afif Abd Aziz, D. Ramasamy, Rajan Kumaresan, S. Subramaniam

The Nexus of Sustainability and Energy Technology Journal

The car's cooling system is crucial for keeping the engine at a safe temperature. According to the available literature, radiator fins and microchannels might use some small improvements. Poor thermophysical qualities of conventional heat transfer fluids lead to inefficient engine cooling. High-performance heat transfer fluids with optimal thermophysical qualities must be used to combat this. A lighter car with a more powerful engine might be achieved using a more efficient thermal fluid that allowed for a smaller radiator. In this study, we provide a quick analytical method for assessing radiator performance in an internal combustion engine. The effects of temperature …

Nanomaterials For Hydrogen Energy: Advancing Sustainable Fuel Solutions, Ganesan Kadirgama

The Nexus of Sustainability and Energy Technology Journal

Hydrogen energy is recognized as a cornerstone for future clean energy systems. Nanomaterials play a critical role in advancing hydrogen production, storage, and utilization by offering unique properties such as high surface area, enhanced catalytic activity, and superior stability. This paper explores the application of nanomaterials in hydrogen energy systems, focusing on their contributions to sustainability and efficiency. The challenges and prospects of integrating nanomaterials into hydrogen technologies are also discussed.

Prediction Of Battery Thermal Management System Performance By Ai Method, Devarajan Ramasamy, S. Subramaniam, Muhammad Danil Zikry Bin Ezani

The Nexus of Sustainability and Energy Technology Journal

This paper presents a novel approach to predicting the performance of battery thermal management systems (BTMS) using artificial intelligence (AI) methods. The proposed method leverages machine learning algorithms to analyze large datasets of battery performance data and identify patterns that can be used to predict future performance. This project focuses on developing an AI model to predict battery temperature and investigating the performance of the AI model. The study limits its scope to using cylindrical lithium-ion batteries and employs Orange software for machine learning. The findings demonstrate that machine learning models, particularly Random Forest and Gradient Boosting, are highly effective …

Managing Smart Cities By Designing A Communications System Using Lora Technology, Mustafa K. Ati, Hassan F. Khazaal

The Nexus of Sustainability and Energy Technology Journal

In this paper Compared to previous works, we used a research methodology that relied on the effect of modern communication technology parameters of LoRa on the operation sensors of an advanced communication system to benefit from it in smart city communications. the design of communication system had been proposed through the use of long Range (LoRa) device and software defined radio (SDR) technology, Where the used LoRa are of types (SX1278, ESP32T-Beam) and are used as sensors which transmit the data to the access point represented by SDR Technology. The data is transmitted from the sensors via the SDR to …

A Comparative Study Of Electronic And Paper Ballot Systems In Modern U.S. Elections, Gianna M. Wadowski

Open Access Master's Theses

In-person voting processes that rely on paper ballots have long dominated voting in the U.S. However, following the implementation of the Help America Vote Act in 2002, states rapidly adopted new voting technologies that dramatically changed the in-person voting experience. Since then, states have continued to adopt new voting technologies as new challenges and opportunities have emerged. Although scholarship has demonstrated that new voting technologies can offer benefits, reported improvements to the in-person voting experience are inconsistent. Despite changes in voting equipment and voting methods, voters continue to wait in long lines, affecting turnout and voter confidence. Using observational time …

Comparison Of A Terrestrial And Handheld 3d Laser Scanner In As-Built Building Information Model (Bim) Creation, Cedric Scott Jankowski

Theses and Dissertations

Advances in computer processing have allowed mobile 3D laser scanners to begin to rival terrestrial scanners in terms of accuracy and scanning speed. While terrestrial scanners are the established instrument used in BIM creation for existing buildings, their cost, immobility, and size warrants a comparison to mobile scanners. This evaluation used scans created with both scanner types, the resulting point clouds, and 3D models created by tracing these point clouds to compare the BIM models and resulting floorplans, which were checked against direct on-site measurements. Because terrestrial scanners are considered state-of-the-art, the evaluation focused primarily on comparing mobile scanner and …

Biomimetic Swarm Of Active Particles With Coupled Passive-Active Interactions, Amir Nourhani

University Research

We study the universal behavior of a class of active colloids whose design is inspired by the collective dynamics of natural systems such as schools of fish and flocks of birds. These colloids, with off-center repulsive interaction sites, self-organize into polar swarms exhibiting long-range order and directional motion without significant hydrodynamic interactions. Our simulations show that the system transitions from motile perfect crystals to solid-like, liquid-like, and gas-like states depending on noise levels, repulsive interaction strength, and particle density. By analyzing swarm polarity and hexatic bond order parameters, we demonstrate that effective volume fractions based on force-range and torque-range interactions …

Plasmonic Enhancement Of Photothermal Conversion Efficiency In Gold-Nanoparticle Hydrogels, Mai S. Rashwan, Abed M. Al-Sheikh, Harihara Baskaran, Clemens Burda

Faculty Scholarship

This study investigates the photothermal properties of citrate-capped gold nanoparticles (Au NPs) dispersed in agarose gel, examining various sizes and concentrations, particularly within a low-concentration range (0.2–2.5 nM). Heat transfer measurements are conducted on Au NP hydrogels using laser-light induced heating, revealing a size- and concentration-dependent temperature increase compared to the plain agarose gel matrix. Experimental data, combined with finite-element analysis, demonstrate that photothermal energy conversion efficiencies are dependent on NP size and concentration, while the thermal conductivity (TC) of all Au NP hydrogels remains constant and independent of these parameters within the tested concentration range. UV-visible spectroscopy indicates that …

The "Distributed Ghost" With Independence - A Study On Computational Ability Of Skewed Asynchronous Cellular Automata, Shrey Salvi, Shlok Shelat, Sumit Adak, Souvik Roy

Northeast Journal of Complex Systems (NEJCS)

This paper explores the computational ability of ``distributed ghost" cellular automata (CA) \cite{10.1162/artl_e_00450} after introducing independence in the updating scheme. Traditionally, the CA system dictates all cells to update together following the concept of the global clock. To introduce independence in the system, CA researchers have introduced the notion of fully asynchronous updating scheme with atomicity property where, again, the CA system dictates two neighbouring cells not to update together. In this study, we explore the skewed asynchronous system after breaking the atomicity property. Specifically, we study the computational ability of the proposed skewed asynchronous system in the context of …

Analysis Of Systematic Trade-Offs Between Military And Healthcare Expenditure Alongside Gdp Growth Of Select Asian And Western Exporting Economies In The 21st Century, Rahul Balamurugan, Carlos Gershenson, Preethi Nanjundan, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

This study explores the complexity in the trade-offs between military expenditure, healthcare expenditure, and GDP growth across select Asian nations and major weapon-exporting countries, examining how nations allocate finite resources between national security and human well-being over the past two decades. Using a systems science approach, the research integrates Granger causality testing to analyze temporal and directional relationships among GDP growth, military expenditure, and healthcare expenditure, uncovering their dynamic interdependencies. The methodology includes trend and slope analysis, Granger causality testing, outlier detection, and clustering to identify heterogeneity in resource allocation strategies. Developed, weapon-exporting nations exhibit complementary trends, with strong causality …

Gratings For Enhanced Sensitivity: Advancing D-Shaped Optical Fiber Surface Plasmon Resonance Sensors With Ag-Fe2o3 Structures, Yomna Seliem, Sameh O. Abdellatif

Electrical Engineering

This research delves into enhancing biosensing sensitivity by optimizing D-shaped optical fiber surface plasmon resonance (SPR) sensors employing - structures. By investigating the influence of different grating structures—rectangular, triangular, and elliptical—on sensor performance, a comprehensive analysis was conducted to ascertain the impact of these structural variations on sensitivity and detection precision. The study revealed that while the rectangular structure exhibited a sensitivity of 6.4 µm/RIU, the triangular structure outperformed with an impressive sensitivity of 7.2 µm/RIU. Moreover, the detection accuracy, quantified by the detection angle (DA), reached µ for the triangular grating, surpassing the rectangular grating’s detection angle of µ. …

Prediction Of Unit Haulage Cost In An Underground Mine Using Machine Learning Techniques, Marco Cotrina, Jairo Marquina, Junior Polo

Journal of Sustainable Mining

The primary objective of the research was to apply machine learning techniques to forecast the unit costs of ore hauling in an underground mine. The methodology employed was quantitative, with a non-experimental and descriptive design. Haulage data were collected over a 12-month period. Furthermore, an exploratory data analysis (EDA) was conducted using various models, including ANN-MLP (Artificial Neural Network – Multilayer Perceptron), Random Forests, Extreme Gradient Boosting, Support Vector Regression, Decision Tree, KNN, and Bayesian Regression, to handle the data’s complexity. The data were split into 80% for training, 10% for testing, and 10% for validation. The results indicated that …

Correlating The Compositional Changes To The Rheological Properties Of Recovered Asphalt Binders From Recycled Asphalt Mixtures: Insights From The Thermogravimetric Measurements, Eslam Deef-Allah, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Assessing the binder performance of thermal characterization is critical for quality control. This is pertinent for recovered binders from mixtures, which may not be in adequate quantities to evaluate their performance, particularly in mixtures containing reclaimed asphalt pavement (RAP). The present study deployed a thermogravimetric analyzer to evaluate compositional changes in recovered binders from RAP-containing mixtures, focusing on thermograph and derivative of thermograph (DTG) characteristics and correlating the results to rheological features. Incorporating RAP in mixtures influenced recovered binders' DTG shapes, reducing low-combusted components (%LCC) and increasing residues (%R). The recovered binder from the zero-RAP-containing mixture showed a 4.36% increase …

Enhancing The Efficiency Of Eaop Degradation Using Ultrasound: A Study With Methylene Blue And Pfoa As Model Pollutants, Jamiu Busayo Ahmed

Master's Theses

No abstract provided.

Biomedically Vibrant And Cost-Effective Biocomposite Bone Plate – Development And Testing, Asif Mahmud Rayhan, Md Enamul Hoque, Adib Bin Rashid

Michigan Tech Publications

Bone fracture treatment requires a supportive structure called, bone plate for a specific period required to heal the fractured bone. Titanium, stainless steel, tantalum etc. are widely used as bone plates. However, these metallic bone plates lead to some major problems namely, stress shielding, bone atrophy, high cost etc. because of their very high strength compared to bones. In addition, the metallic bone plates need secondary surgery to remove it from the body. This research aims to develop a sustainable composite bone plate that is biocompatible, bio-functional, and biodegradable in the human body. Firstly, different composite samples were fabricated using …

Multiscale Materials Characterization And In-Situ Process Monitoring In Additive Manufacturing Via Non-Contact Optical Thermometry Techniques, Rifat-E-Nur Hossain

Doctoral Dissertations

While additive manufacturing (AM) is experiencing rapid growth, its development is uneven across different branches. Some areas are still emerging, while even the more established branches are still facing ongoing challenges that require further development. Regardless of their development stage, both emerging and mature AM require process monitoring and part characterization. Process monitoring helps to achieve more control over the process and build a self-adaptive system, while characterization of printed parts speeds up process optimization and ensures required quality. Together, process monitoring and build characterization will transform AM into a more dependable and commercially viable technique. Build surface temperature is …

How Shearing Affects Air Dissolution In Fresh Cement Pastes Under Pressure, Daniel Galvez-Moreno, Dimitri Feys, Kyle Riding

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The air-void system of concrete is of paramount importance to ensure freeze–thaw durability. Pumping induces detrimental changes in the air-void system of concrete by dissolving the air bubbles in the surrounding water when pressure increases due to the pump action. This research work investigates the influence of shear rate and air-void size distribution on air dissolution with time of cement pastes under pressure. Steady-state shear rheology at different shear rates was applied on samples of different air-void size distributions but similar air contents. Due to the low capillary number of the mixtures, the application of pressure caused a decrease in …

Assessing Arterial Compliance: Utilizing A Surrogate Arm Bench Top Model For Oscillometric Blood Pressure Monitoring, Krystal Cardenas

Master's Theses

A study was conducted to evaluate the compliance of artificial artery systems utilizing an adaptation of the Yong-Geddes Surrogate Arm model, composed of a blood pressure cuff, artificial artery, pressure transducers, and flow to replicate physiological conditions to validate oscillometric non-invasive blood pressure measurement methods. The experiment phases included tube, blood pressure cuff, and the surrogate arm compliance tests both in static and dynamic conditions. Tube compliance tests showed that larger diameters resulted in increased compliance, with Sample 1 (smaller inner diameter, ID) resulting in an average compliance of 0.0912 mL/mmHg, and Sample 2 (bigger ID) resulting in 0.1597 mL/mmHg. …

Smart Manufacturing Readiness Assessment - Analysis Of A Modern Tool From A Sociotechnical Perspective, Todd Lemon

All-Inclusive List of Electronic Theses and Dissertations

Smart Manufacturing has emerged out of the pervasive buzzwords in publications as a competitive strategy, characterized by the intensive use of digital information and technology throughout the production processes; shop-floor, people, and systems are married by the Internet creating services critical to manufacturing. The work completed and presented here extends the research in the area of Smart Manufacturing (SM) readiness to include a more comprehensive approach to production floor implementation. The overarching goal is to explore SM implementation in attempt to identify underlying latent factors that relate to preparedness from a joint social and technical perspective, striving for a model …

Discrete-Time Signal Processing, Carl Greco

ATU Faculty OER Books and Materials

No abstract provided.

Experimental Study For Improving Oil Recovery Using Organic Alkaline And Nano-Silica For An Egyptian Oil Field, Attia Attia, Mohamed Sadek Hamedi Al, Mayar Abdelrahman Hassan Eng.

Petroleum Engineering and Gas

The oil and gas industry continually seeks innovative methods to enhance hydrocarbon recovery due to the declining productivity of conventional techniques. Current recovery methods, such as water flooding and chemical flooding, often face limitations like high interfacial tension, unfavorable wettability, and reduced mobility of oil, especially under harsh reservoir conditions of high salinity. To address these challenges, this study explores the implementation of nanotechnology in enhanced oil recovery (EOR), focusing on the distinct and unique properties of nanoparticles. Nanoparticles, particularly SiO2, were chosen for their ability to significantly decrease interfacial tension, alter wettability, and improve oil mobility. SiO2 nanoparticles exhibit …