Engineering Commons^™

Mechanical Property Variability In Lpbf Ss316l Due To Defects Formation And Process Interruption, Tasrif Ul Anwar

Student Research Symposium

This project aims to understand the correlation between the manufacturing process, defect formation, process interruptions, and the resulting properties of components made with laser powder bed fusion techniques.

Characterization Of Functionally Graded Regolith-Metal Powder Mixtures For Additive Manufacturing In Space, Ian Jones

Student Research Symposium

Additive manufacturing (AM), colloquially known as 3D Printing, is a manufacturing process in which a component is fabricated layer-by-layer. For metallic materials, the most common AM methods use powders as feedstock materials. To print in space, one abundantly available material is the loose powder covering the moon, i.e., lunar regolith. However, past research has shown that regolith does not have ideal properties for AM.

There are two main material properties that affect AM performance: (1) powder flowability, and (2) packing density. Powders must be able to flow over the print bed, otherwise the printer will jam. When powders naturally pack …

Dynamic Angle Of Repose Of Ss316l Powders Fabricated By Gas Atomization For Additive Manufacturing Applications, S. M. Mahid

Student Research Symposium

Metal additive manufacturing (AM) techniques, unlike conventional manufacturing methods like turning and milling, construct objects by incrementally adding layers of material. Various processes can be used to 3D print including laser or electron beams to melt or sinter metallic powder particles.

A Novel Camera Based Measurement Technique For High Temperature Applications, Prasenjit Dewanjee

Student Research Symposium

Digital Image Correlation (DIC) is an optical technique for camera-based measurements.

Uncertainty Quantification In Neural Networks For Cfd, Cody Grogan

Student Research Symposium

Neural Networks have surged to popularity in many fields because of their ability to model complex functions. However, for most scientists, this comes at the cost of interpretability.

The aim of this research is to compile the different methods to uncertainty quantification in Neural Networks and apply them to a CFD problem.

Trip Production Models For Persons With Disabilities, Pouyan Saeidian

Student Research Symposium

People with disabilities constitute nearly 13% of the US population, with their mobility being more restricted compared to other groups. To provide equitable access to transportation facilities, it's crucial to delve deeper into their travel patterns and mobility. Our research examines their mobility patterns by comparing daily trip metrics with those without disabilities and modeling and analyzes factors influencing their travel frequency to inform policy enhancements

An In-Depth Investigation Into Factors Influencing Pedestrian Crash Severity: Comparative Analysis Of Generalized Ordered Probit, Stacking Ensemble Model, And Tabnet, Amir Rafe

Student Research Symposium

• Pedestrian Vulnerability: In 2021, there were 7,388 pedestrian deaths in the U.S., with urban settings, intersections, and dark lighting conditions being significant contributing factors.

• Prediction Models in Research: Pedestrian safety research employs a range of statistical, machine learning, and deep learning methods to assess factors affecting crash severity. TabNet, a novel deep learning model, is being used for the first time in the analysis of pedestrian crash severity.

Simulating Low Gravity Particle Dynamics, Ryan Lewis

Student Research Symposium

Lunar and Martian dust can pose a serious risk to astronauts and equipment due to the abrasive nature. A better understanding of how dust particles behave in low gravity is crucial in minimizing risks for future NASA Lunar and Martian missions.

• Existing methods are too expensive for detailed studies.
• We are developing an experimental platform that offers an affordable and robust way to study low gravity particle- laden flow.
• In this novel approach, the total body force on a dust particle is a proxy for gravitational force and can be controlled by imparting a vertical coulomb force on a charged …

Seasonal Shifts And Insights: Updating The Great Salt Lake Halogen Study (2022/24), Himalaya Sapkota

Student Research Symposium

Halogens compounds, particularly chlorine- and bromine-related species, may alter the photochemical reactions influencing local and regional air quality – including particulate formation (PM_2.5) and ozone (O₃) cycling.

High-Throughput: An Approach For Simultaneous Creep Testing Of Nuclear Structural Alloys, Raushan Singh

Student Research Symposium

Creep is a time-dependent deformation at constant load and elevated temperature.

It is widely used in an application that involves high temperature under load for e.g., Nuclear reactors.

Creep tests are notoriously slow, taking weeks/months to complete one experiment.

• This makes High-Throughput techniques more desirable

Our Goals:

(1) Demonstrate novel High-Throughput methods to perform more creep tests more quickly

(2) Apply those methods to more quickly characterize 3D printed 316L (future work)

Fast Prediction Of The Trajectory And Coverage Of Aerially Delivered Fire-Retardants, Aditya Parik

Student Research Symposium

Motivation & Objectives

• The utilization of aircrafts in fighting wildfires has substantially increased over the last century, as incidences of forest fires increase all over the world.
• A constant effort of various fire control agencies throughout North America (such as USDA Forest Service) has been to improve the accuracy, efficiency, and overall effectiveness of aerial retardant delivery.
• In service of this goal, we develop a model for predicting the general trajectory a retardant plume takes when it is aerially delivered to a target.

Combined Radiation And Convection In Developing Flow In A Parallel Plate Channel With Real Gas Behavior, Kyle Davis Pulsipher

Theses and Dissertations

The laminar, thermally developing flow of gases in a two-dimensional parallel plate channel is studied here. Using computational fluid dynamics (CFD), the combined effects of convection and real gas radiation are explored. Gas mixtures composed of H2O, CO2, and N2 are considered. To account for radiation in the participating medium, the Spectral Line Weighted-sum-of-gray-gases model is used. The model formulation, verification, and validation are provided through published articles written by the primary author. The predictions made for the case of combined convection and radiation are compared to the solution for the classical pure convection case, known as the Graetz solution. …

Quantifying And Characterizing The Behavior Of Dissolved And Suspended Icp-Oes Detectible Elements In Utah Lake, Rachel Ann Valek

Theses and Dissertations

For Utah Lake in Utah, USA, we analyzed a uniquely comprehensive and longitudinal water quality dataset that extended over two summer sampling seasons. We measured 61 parameters using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), YSI ProDSS water sondes, and laboratory procedures to quantify and characterize dissolved and suspended behavior of trace elements in Utah Lake. We analyzed the data using principal component analysis (PCA) and multidimensional scaling (MDS) to understand the lake geochemistry and inform Utah Lake management decisions regarding nutrients and algal blooms. We found that 1) sediments rich in phosphorus (P) act as a source for bioavailable …

Strategies To Decrease Separation Rates Among Highly Skilled Manufacturing Employees To Gain A Competitive Advantage, Rebecca J. Mileham

Walden Dissertations and Doctoral Studies

Company leaders have a decreased competitive advantage when losing their highly skilled manufacturing employees due to separation from the company. Grounded in Herzberg’s two-factor theory, the purpose of this qualitative single-case study was to explore strategies aeronautical leaders used to decrease separation rates among highly skilled manufacturing employees to gain a competitive advantage. The participants comprised eight frontline managers in southern California with 2 years or more experience using strategies to decrease separation in their organization. Data were collected through face-to-face semistructured interviews and analyzed using thematic analysis, resulting in four themes: pay and promotion; benefits and feedback; treatment from …

A Multi-Directional Smart Hip Implant With Wireless Connectivity For Enhanced Health Monitoring, Leila Donyaparastlivari

Mechanical Engineering Theses

The thesis presents the culmination of the smart hip implant project, which signifies a significant stride in orthopedic technology. By integrating piezoelectric and triboelectric systems into conventional implants, this study demonstrates the feasibility and effectiveness of creating intelligent implants. Through a meticulous design process and rigorous testing, novel configurations were developed to optimize energy harvesting efficiency and enable precise detection of mechanical loads experienced during various physical activities. The application of Finite Element Analysis provided critical insights into the localization of contact points, informing the strategic placement of harvesters within the implant for enhanced performance. Utilizing a cam follower and …

Systems, Methods And Techniques For Torrefaction, Ezra Bar Ziv, Stas Zinchik, Shreyas Sunil Kolapkar

Michigan Tech Patents

A system for torrefaction of waste material comprising biogenic material and plastic material may comprise a material pre-processing system, a heating and compaction unit, a reactor system comprising a reaction portion and an extrusion portion, and a cutting unit adjacent an outlet of the reactor system. A method for operating a system for torrefaction of waste material comprising biogenic and plastic material may comprise processing the waste material to generate waste material having an aspect ratio between 0.8:1 and 1.2:1 and a largest dimension of less than 4 millimeters (mm); compressing and heating the pre-processed waste material in the heating …

Igniting Passion:​ A Detailed Journey Through Rocketry Course Activities, Krish M. Patel, Hannah Caycedo, Joshua Gage, Josi Maness, Kevin Park, Mufeng Shen

SACAD: Scholarly Activities

This course is a semester-long adventure in rocketry, led by Dr. Paul Adams. It covers everything about building and flying rockets, starting from the basics to more advanced rocketry. Students learn how to build rockets and use equipment used I payload systems like and altimeter and a GPS. We also learned about the importance of safety involved with building and launching rockets.

Improving Criticality Safety Benchmark Coverage By Developing A Benchmark Evaluation Of The Unm Agn-201m Reactor, Rowdy Davis

Nuclear Engineering ETDs

This research aimed to improve the benchmark coverage of the International Criticality Safety Benchmark Evaluation Project (ICSBEP) handbook and the International Reactor Physics Experiment Evaluation Project (IRPhEP) with respect to High-Assay, Low-Enriched Uranium Fuel (HALEU). This was accomplished by creating a benchmark of the University of New Mexico’s Aerojet General Nucleonics model 201-M reactor and submitting it to the ICSBEP. This research then aimed to quantify to what extent this benchmark improves coverage of the benchmark suites for HALEU and TRISO fuel applications. This investigation utilized WHISPER, TSUNAMI-IP, and TSURFER with 36 application cases developed in SCALE and 2,929 experiments …

04.08.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Nature Masterclasses Overview, Mary Lea McMillan, Cost Transfer Policy, NSF Author and Allocation citing

Kitchen Ergonomics In Health And Healthcare: A Rapid Scoping Review, Haozhi Chen, Nicholas Anton, Richard J. Holden, Denny Yu

Purdue University Libraries Open Access Publishing Fund

Although traditional workplace settings such as hospitals and clinics are well-studied, non-clinical areas like home kitchens, which connect clinical healthcare with the care provided in daily living settings, have received less attention. During the early stages of the global pandemic, there has been an increase in home cooking activities due to widespread isolation and restrictions imposed on dining publicly. Ergonomics is at the intersection between work environments and human task performance, and kitchen ergonomics informs knowledge on effective, safe, and efficient cooking practices while maintaining the desired kitchen functionality. Numerous contributions across various disciplines have added knowledge to the kitchen …

Investigating Which Muscles Are Most Responsible For Tremor Through Both Experimental Data And Simulation, Daniel Benjamin Free

Theses and Dissertations

Tremor affects millions of people and many patients desire alternative treatment options to medication or neural surgery. Peripheral suppression techniques are gaining greater use, but are currently applied in a trial-and-error method. To optimize these techniques, the muscles most responsible for an individual patient's tremor need to be identified. In this dissertation, I explored two parallel paths that both could aid in identifying muscles responsible for tremor. The first method utilizies measured data and a technique (coherence) that quantifies the frequency dependent correlation between two signals. Using coherence to identify muscles contributing to tremor requires at least two parts: an …

Simultaneous Thermal Zoning And Demand Control Ventilation, Jose Rodriguez, Nelson Fumo

Mechanical Engineering Faculty Publications and Presentations

Heating, Ventilation, and Air Conditioning systems play a crucial role in controlling indoor air conditions, including temperature, humidity, and CO₂ concentration, to ensure human comfort and safety. Thermal zoning and demand-controlled ventilation have demonstrated enhancements in comfort and energy efficiency. This study aims to develop a mathematical model for a Heating, Ventilation, and Air Conditioning system employing an estimated state-feedback control algorithm to optimize indoor comfort and energy savings while minimizing sensor requirements. The model encompasses dynamic equations governing CO₂ concentration and temperature in a five-room building. Temperature regulation is achieved by adjusting the airflow from a cooling unit with …

Meso-Scale Seabed Quantification With Geoacoustic Inversion, Tim Sonnemann, Jan Dettmer, Charles W. Holland, Stan E. Dosso

Electrical and Computer Engineering Faculty Publications and Presentations

Abstract Knowledge of sub-seabed geoacoustic properties, for example depth dependent sound speed and porosity, is of importance for a variety of applications. Here, we present a semi-automated geoacoustic inversion method for autonomous underwater vehicle data that objectively adapts model inference to seabed structure. Through parallelized trans-dimensional Bayesian inference, we infer seabed properties along a 12 km survey track on the scale of about 10 cm and 50 m in the vertical and horizontal, respectively. The inferred seabed properties include sound speed, attenuation, density, and porosity as a function of depth from acoustic reflection coefficient data. Parameter uncertainties are quantified, and …

A Novel Approach On Energy Of Λj-Dominating Single-Valued Neutrosophic Graph Structure, S.N. Suber Bathusha, S. Angelin Kavitha Raj

Neutrosophic Systems with Applications

The concept of dominance is one of the most important ideas in graph theory for handling random events, and it has drawn the interest from many scholars. Research related to graph energy has garnered a lot focus recently. The application of single-valued neutrosophic graphs (SVNGs) for energy, Laplacian energy, and dominating energy has been recommended by previous studies. In this research, we apply the concepts of single-valued neutrosophic sets (SVNS) to graph structures (GSs) and investigate some intriguing features of single-valued neutrosophic graph structures (SVNGS). Moreover, the notions of λJ-dominating energy GS in an SVNGS environment are analyzed in this …

Bv2trs Appraiser Model: Enforcing Bharat Version2 In Tree Soft Modelling For Appraising E-Mobility Hurdles, Mona Mohamed, Florentin Smarandache, Michael Voskoglou

Neutrosophic Systems with Applications

Electric vehicles (EVs) are being introduced to lessen greenhouse gas (GHG) emissions, air pollution, and reliance on fossil fuels. As a result of the government's aggressive promotion of EVs and rising environmental consciousness, EVs are quickly rising to the top of the low-carbon transportation market. Several viewpoints suggested that shifting to electric vehicles has been seen as a potential way to achieve sustainable mobility. Nevertheless, many studies discussed the obstacles and hurdles that obstruct the embracing of various electric-mobility (E-mobility) as EVs and electric-scooters (E-scooters) as eco-friendly means. Herein, we discussed these hurdles and determined them through surveys for prior …

On The Feasibility Of Ultrasonic Full Waveform Evaluation With Changing Testing Conditions For The Quality Control Of Manufacturing Parts, Simon Schmid, Thomas Schumacher, Christian U. Grosse

Civil and Environmental Engineering Faculty Publications and Presentations

Fast volumetric non-destructive testing methods are needed, especially for quality control in manufacturing lines. Ultrasonic testing with full waveform evaluation is a promising method for this. However, changes in coupling conditions or environmental factors can significantly alter the ultrasound signal, sometimes more than actual defects. This study investigates the effect of various factors on the ultrasound signal based on a Monte Carlo study with wavefield simulations. The test specimens comprise aluminium plates with holes of varying sizes and positions. Using both experimental as well as simulated data, the performance of two commonly used comparison metrics, namely the R2 score and …

Bv2trs Appraiser Model: Enforcing Bharat Version2 In Tree Soft Modelling For Appraising E-Mobility Hurdles, Mona Mohamed, Florentin Smarandache, Michael Voskoglou

Neutrosophic Systems with Applications

Electric vehicles (EVs) are being introduced to lessen greenhouse gas (GHG) emissions, air pollution, and reliance on fossil fuels. As a result of the government's aggressive promotion of EVs and rising environmental consciousness, EVs are quickly rising to the top of the low-carbon transportation market. Several viewpoints suggested that shifting to electric vehicles has been seen as a potential way to achieve sustainable mobility. Nevertheless, many studies discussed the obstacles and hurdles that obstruct the embracing of various electric-mobility (E-mobility) as EVs and electric-scooters (E-scooters) as eco-friendly means. Herein, we discussed these hurdles and determined them through surveys for prior …

A Novel Approach On Energy Of Λj-Dominating Single-Valued Neutrosophic Graph Structure, S.N. Suber Bathusha, S. Angelin Kavitha Raj

Neutrosophic Systems with Applications

The concept of dominance is one of the most important ideas in graph theory for handling random events, and it has drawn the interest from many scholars. Research related to graph energy has garnered a lot focus recently. The application of single-valued neutrosophic graphs (SVNGs) for energy, Laplacian energy, and dominating energy has been recommended by previous studies. In this research, we apply the concepts of single-valued neutrosophic sets (SVNS) to graph structures (GSs) and investigate some intriguing features of single-valued neutrosophic graph structures (SVNGS). Moreover, the notions of λJ-dominating energy GS in an SVNGS environment are analyzed in this …

Forecasting Future Research Trends In The Construction Engineering And Management Domain Using Machine Learning And Social Network Analysis, Gasser G. Ali, Islam H. El-Adaway, Muaz O. Ahmed, Radwa Eissa, Mohamad Abdul Nabi, Tamima Elbashbishy, Ramy Khalef

Civil Engineering Faculty Publications

Construction Engineering and Management (CEM) is a broad domain with publications covering interrelated subdisciplines and considered a key source of knowledge sharing. Previous studies used scientometric methods to assess the current impact of CEM publications; however, there is a need to predict future citations of CEM publications to identify the expected high-impact trends in the future and guide new research efforts. To tackle this gap in the literature, the authors conducted a study using Machine Learning (ML) algorithms and Social Network Analysis (SNA) to predict CEM-related citation metrics. Using a dataset of 93,868 publications, the authors trained and tested two …

Performance Enhancement Of A Solar-Driven Dcmd System Using An Air-Cooled Condenser And Oil: Experimental And Machine Learning Investigations, Pooria Behnam, Abdellah Shafieian, Masoumeh Zargar, Mehdi Khiadani

Research outputs 2022 to 2026

Solar-driven direct contact membrane distillation systems (DCMD) are disadvantaged by low freshwater productivity and low gain-output-ratio (GOR). Consequently, this study aims to achieve two primary objectives: i) improving the solar DCMD performance, and ii) harnessing machine learning models for precise and straightforward modeling of the solar DCMD system. To achieve these goals, a novel solar DCMD system powered with oil-filled heat pipe evacuated tube collectors (HP-ETCs) and equipped with an air-cooled condenser was used for the first time. The system was evaluated under eight different scenarios covering both its energy and economic performances. The performance prediction of three different machine …