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Articles 7651 - 7680 of 30011

Full-Text Articles in Mechanical Engineering

Metal And Flexible Duct Systems Impacts Upon Cooling Energy And Performance, Florida Solar Energy Center, Charles Withers, Jr. Jan 2021

Metal And Flexible Duct Systems Impacts Upon Cooling Energy And Performance, Florida Solar Energy Center, Charles Withers, Jr.

FSEC Energy Research Center®

Flexible duct is commonly used throughout the U.S. in residential construction. It performs well when installed in accordance with industry standards, however, they are often not installed as such. Issues such as not cutting ducts to the exact length needed, and instead using significantly more duct, result in compression and higher static pressure. Poorly supported ducts or turns without proper radius also increase static pressure. A research project was completed to evaluate the differences in performance between a metal duct and flexible duct systems in two side-by-side otherwise identical residential laboratories. Testing evaluated three different flex duct system configurations compared …

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Data-Driven Tools Guided By First-Principles For Scale Modeling, Sadegh Poozesh Jan 2021

Data-Driven Tools Guided By First-Principles For Scale Modeling, Sadegh Poozesh

Progress in Scale Modeling, an International Journal

For decades, traditional scale-modeling techniques have been relying on first-principles models (FPMs). FPMs have been used to find non-dimensional numbers (PIs) and identify normalized underlying forces and energies behind the phenomenon in focus. The two main challenges with FPM-based PIs extraction are finding the relevant PIs and proper correlations between PIs. The emergence and surge of data-driven modeling (DDM) provide a new opportunity to leverage experimental data in model development across scales/plants. In this paper, first, the two mentioned issues in PIs development will be elaborated to reveal the gap, and second, a new insight into scale modeling and similarity …

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Effect Of Varying Wind Intensity, Forward Speed, And Surface Pressure On Storm Surges Of Hurricane Ritaeffect Of Varying Wind Intensity, Forward Speed, And Surface Pressure On Storm Surges Of Hurricane Rita, Abram Musinguzi, Muhammad K. Akbar Jan 2021

Effect Of Varying Wind Intensity, Forward Speed, And Surface Pressure On Storm Surges Of Hurricane Ritaeffect Of Varying Wind Intensity, Forward Speed, And Surface Pressure On Storm Surges Of Hurricane Rita, Abram Musinguzi, Muhammad K. Akbar

Mechanical and Manufacturing Engineering Faculty Research

Hurricane storm surges are influenced by several factors, including wind intensity, surface pressure, forward speed, size, angle of approach, ocean bottom depth and slope, shape and geographical features of the coastline. The relative influence of each factor may be amplified or abated by other factors that are acting at the time of the hurricane’s approach to the land. To understand the individual and combined influence of wind intensity, surface pressure and forward speed, a numerical experiment is conducted using Advanced CIRCulation + Simulating Waves Nearshore (ADCIRC + SWAN) by performing hindcasts of Hurricane Rita storm surges. The wind field generated …

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The Acoustic Camera As A Tool To Identify Belt Conveyor Noises, Piotr Bortnowski, Anna Nowak-Szpak, Maksymilian Ozdoba, Robert Król Jan 2021

The Acoustic Camera As A Tool To Identify Belt Conveyor Noises, Piotr Bortnowski, Anna Nowak-Szpak, Maksymilian Ozdoba, Robert Król

Journal of Sustainable Mining

This paper explores the possibilities of using an acoustic camera as a tool that allows the verification of the correct construction and operation of individual elements of a belt conveyor. Based on the simultaneously recorded components - a video camera and measuring microphones, the sound pressure level map of the belt conveyor was created. The tests were carried out in laboratory conditions and covered the location and identification of individual noise sources. The verification consists not only of searching for dominant sound sources, but above all, of searching for frequencies in the analysed spectrum that should not occur during their …

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Estimating Remaining Useful Life In Machines Using Artificial Intelligence: A Scoping Review, Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Anupkumar Bongale, Shruti Patil Jan 2021

Estimating Remaining Useful Life In Machines Using Artificial Intelligence: A Scoping Review, Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Anupkumar Bongale, Shruti Patil

Library Philosophy and Practice (e-journal)

The remaining useful life (RUL) estimations become one of the most essential aspects of predictive maintenance (PdM) in the era of industry 4.0. Predictive maintenance aims to minimize the downtime of machines or process, decreases maintenance costs, and increases the productivity of industries. The primary objective of this bibliometric paper is to understand the scope of literature available related to RUL prediction. Scopus database is used to perform the analysis of 1673 extracted scientific literature from the year 1985 to 2020. Based on available published documents, analysis is done on the year-wise publication data, document types, language-wise distribution of documents, …

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An Advanced Machine Learning Based Energy Management Of Renewable Microgrids Considering Hybrid Electric Vehicles’ Charging Demand, Tianze Lan, Kittisak Jermsittiparsert, Sara T. Al-Rashood, Mostafa Rezaei, Loiy Al-Ghussain, Mohammed A. Mohammed Jan 2021

An Advanced Machine Learning Based Energy Management Of Renewable Microgrids Considering Hybrid Electric Vehicles’ Charging Demand, Tianze Lan, Kittisak Jermsittiparsert, Sara T. Al-Rashood, Mostafa Rezaei, Loiy Al-Ghussain, Mohammed A. Mohammed

Mechanical Engineering Graduate Research

Renewable microgrids are new solutions for enhanced security, improved reliability and boosted power quality and operation in power systems. By deploying different sources of renewables such as solar panels and wind units, renewable microgrids can enhance reducing the greenhouse gasses and improve the efficiency. This paper proposes a machine learning based approach for energy management in renewable microgrids considering a reconfigurable structure based on remote switching of tie and sectionalizing. The suggested method considers the advanced support vector machine for modeling and estimating the charging demand of hybrid electric vehicles (HEVs). In order to mitigate the charging effects of HEVs …

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Dynamics Of A Pair Of Paramagnetic Janus Particles Under A Uniform Magnetic Field And Simple Shear Flow, Christopher Sobecki, Jie Zhang, Cheng Wang Jan 2021

Dynamics Of A Pair Of Paramagnetic Janus Particles Under A Uniform Magnetic Field And Simple Shear Flow, Christopher Sobecki, Jie Zhang, Cheng Wang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

We numerically investigate the dynamics of a pair of circular Janus microparticles immersed in a Newtonian fluid under a simple shear flow and a uniform magnetic field by direct numerical simulation. Using the COMSOL software, we applied the finite element method, based on an arbitrary Lagrangian-Eulerian approach, and analyzed the dynamics of two anisotropic particles (i.e., one-half is paramagnetic, and the other is non-magnetic) due to the center-to-center distance, magnetic field strength, initial particle orientation, and configuration. This article considers two configurations: the LR-configuration (magnetic material is on the left side of the first particle and on the right side …

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The Role Of Microenvironmental Cues And Mechanical Loading Milieus In Breast Cancer Cell Progression And Metastasis, Brandon D. Riehl, Eunju Kim, Tasneem Bouzid, Jung Yul Lim Jan 2021

The Role Of Microenvironmental Cues And Mechanical Loading Milieus In Breast Cancer Cell Progression And Metastasis, Brandon D. Riehl, Eunju Kim, Tasneem Bouzid, Jung Yul Lim

Department of Mechanical and Materials Engineering: Faculty Publications

Cancer can disrupt the microenvironments and mechanical homeostatic actions in multiple scales from large tissue modification to altered cellular signaling pathway in mechanotransduction. In this review, we highlight recent progresses in breast cancer cell mechanobiology focusing on cell-microenvironment interaction and mechanical loading regulation of cells. First, the effects of microenvironmental cues on breast cancer cell progression and metastasis will be reviewed with respect to substrate stiffness, chemical/topographic substrate patterning, and 2D vs. 3D cultures. Then, the role of mechanical loading situations such as tensile stretch, compression, and flow-induced shear will be discussed in relation to breast cancer cell mechanobiology and …

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Quantification Of Nitric Oxide Concentration Using Single-Walled Carbon Nanotube Sensors, Jakob Meier, Joseph Stapleton, Eric M. Hofferber, Abigail Haworth, Stephen D. Kachman, Nicole M. Iverson Jan 2021

Quantification Of Nitric Oxide Concentration Using Single-Walled Carbon Nanotube Sensors, Jakob Meier, Joseph Stapleton, Eric M. Hofferber, Abigail Haworth, Stephen D. Kachman, Nicole M. Iverson

Department of Mechanical and Materials Engineering: Faculty Publications

Nitric oxide (NO), a free radical present in biological systems, can have many detrimental effects on the body, from inflammation to cancer. Due to NO’s short half-life, detection and quantification is difficult. The inability to quantify NO has hindered researchers’ understanding of its impact in healthy and diseased conditions. Single-walled carbon nanotubes (SWNTs), when wrapped in a specific single-stranded DNA chain, becomes selective to NO, creating a fluorescence sensor. Unfortunately, the correlation between NO concentration and the SWNT’s fluorescence intensity has been difficult to determine due to an inability to immobilize the sensor without altering its properties. Through the use …

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Mechanical Behavior Of Al–Al2cu–Si And Al–Al2cu Eutectic Alloys, Qian Lei, Jian Wang, Amitava Mitra Jan 2021

Mechanical Behavior Of Al–Al2cu–Si And Al–Al2cu Eutectic Alloys, Qian Lei, Jian Wang, Amitava Mitra

Department of Mechanical and Materials Engineering: Faculty Publications

In this study, laser rapid solidification technique was used to refine the microstructure of ternary Al–Cu–Si and binary Al–Cu eutectic alloys to nanoscales. Micropillar compression testing was performed to measure the stress–strain response of the samples with characteristic microstructure in the melt pool regions. The laser-remelted Al–Al2Cu–Si ternary alloy was observed to reach the compressive strength of 1.59 GPa before failure at a strain of 28.5%, which is significantly better than the as-cast alloy with a maximum strength of 0.48 GPa at a failure strain of 4.8%. The laser-remelted Al–Cu binary alloy was observed to reach the compressive …

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Mechanical Strength Of Germanium Doped Low Oxygen Concentration Czochralski Silicon And The Effect Of Oxygen On Nitrogen Dissociation In Silicon, Junnan Wu Jan 2021

Mechanical Strength Of Germanium Doped Low Oxygen Concentration Czochralski Silicon And The Effect Of Oxygen On Nitrogen Dissociation In Silicon, Junnan Wu

McKelvey School of Engineering Graduate Student Theses & Dissertations

During the Czochralski growth of silicon, it is inevitable for oxygen to be incorporated into the silicon crystal from the quartz crucible. Interstitial oxygen improves the mechanical strength of silicon by pinning and locking dislocations, but also generates thermal donors during device processes, shifting the electrical resistivity. For silicon wafers used in radio frequency (RF) applications, it is important to ensure the high resistivity of the substrates for good RF characteristics. Therefore, the oxygen level in these high resistivity silicon wafers is kept very low (< 2.5 × 1017 atoms/cm3) by carefully controlling the Czochralski growth conditions, in order to reduce the thermal donor concentration to an acceptable level. Silicon on insulator (SOI) substrates made from high resistivity wafers have been widely used for RF applications. SOI manufacturing includes multiple high temperature thermal cycles (1000 – 1100 °C), during which the high resistivity wafers are prone to slip and warpage. Therefore, it is technologically important to recover some of the lost mechanical strength due to the lack of oxygen by introducing electrically inactive impurities to suppress the dislocation generation and mobility in silicon. Germanium (Ge) as an isovalent impurity is 4% larger in size and forms a solid solution with silicon in the entire concentration range. Previous works have shown Ge doping at high concentrations above 6 × 1019 atoms/cm3 increased mechanical strength of silicon with high oxygen concentration (~ 1 × 1018 atoms/cm3). In this work, we explore the effect of Ge doping (7 - 9 × 1019 atoms/cm3) on the mechanical strength of low oxygen concentration (< 2 × 1017 atoms/cm3) silicon, where the oxygen associated dislocation locking and pinning are very low. A mechanical bending test was used to study the average dislocation migration velocity and the critical shear stress of dislocations motion at 600 – 750 °C for Ge doped, nitrogen doped, and undoped low oxygen samples, as well as nitrogen doped float-zone and un-doped high oxygen concentration samples. Next, we fabricated SOI substrates using these high resistivity wafers and compared their slip generation rates and the slip-free epitaxial grow temperature windows after the high temperature thermal cycles (> 1000 °C). Our results indicate at lower temperature Ge doesn’t affect the dislocation mobility …

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Addressing The Practical Limitations Of Volatile Organic Compound Sensors Through An Oscillator-Based Sensing Array, Allison K. Murray, Joseph R. Meseke, Nikhil Bajaj, Jeffrey F. Rhoads Jan 2021

Addressing The Practical Limitations Of Volatile Organic Compound Sensors Through An Oscillator-Based Sensing Array, Allison K. Murray, Joseph R. Meseke, Nikhil Bajaj, Jeffrey F. Rhoads

Mechanical Engineering Faculty Research and Publications

This work demonstrated the development of an array of oscillator-based sensors for the detection of volatile organic compounds (VOCs). A field-programmable gate array (FPGA) was leveraged to monitor the oscillation frequency of 16 sensing elements in parallel. It was shown that three functional chemistries can be deposited via inkjet printing to detect several analytes selectively. These unique response characteristics allowed for the creation of a linear regression model that relates the shifts in oscillation frequencies to the concentration of specific analytes. This approach utilized a single array with sufficient elements to incorporate intentional redundancies. Ultimately, this work demonstrated a low-cost …

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Corrosion Performance Of Additively Manufactured Alloys And Hot Corrosion, Ali Hemmasian Ettefagh Jan 2021

Corrosion Performance Of Additively Manufactured Alloys And Hot Corrosion, Ali Hemmasian Ettefagh

LSU Doctoral Dissertations

Additive manufacturing (AM) has gained attention in recent years due to its unique properties in the fabrication of complex parts. Same as any other new topics, in some areas, there is still a lack of enough knowledge and there is the need for further investigations to enable the applications of AM parts widely in industries. ‎Chapter 2, and ‎Chapter 5 to ‎Chapter 8 of this report are focused on the corrosion properties of the parts and coatings fabricated using the laser powder bed fusion based AM method or laser surface processing method, including a comprehensive review. Laser powder bed fusion …

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Experimental Analysis Of Ultrasonic Multiple Scattering Attenuation Through The Air With Fine Dust, Ukyong Woo, Hajin Choi, Homin Song Jan 2021

Experimental Analysis Of Ultrasonic Multiple Scattering Attenuation Through The Air With Fine Dust, Ukyong Woo, Hajin Choi, Homin Song

Michigan Tech Publications, Part 1

In this study, we experimentally evaluated the application of multiple scattering theory for measuring ultrasonic attenuation. Based on the independent approximation theory, the method adopted for calculating the attenuation of coherent waves through air with fine dust is discussed. To obtain a scattering wavefield, a unique ultrasonic scattering hardware was developed, and signal processing schemes were suggested. Four cases of standard particle doses (0, 0.004, 0.008, and 0.012 g) were investigated inside a chamber. The results obtained from the experiments demonstrate that the proposed signal processing approach successfully calculates the scattering attenuation, which correlates well with the applied doses of …

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Sensitive X-Ray And Gamma-Ray Detectors Including Perovskite Single Crystals, Jinsong Huang, Haotong Wei Jan 2021

Sensitive X-Ray And Gamma-Ray Detectors Including Perovskite Single Crystals, Jinsong Huang, Haotong Wei

Department of Mechanical and Materials Engineering: Faculty Publications

Perovskite single crystal X-ray and gamma-ray radiation detector devices include an X-ray and gamma-ray wavelength responsive active layer including a perovskite single crystal. The perovskite single crystal is a perovskite single crystal having a structure of ABX3 , wherein A is methyl ammonium ( CH2NH2+), CS+, formamidinum ( H2NCHNH2+) , or Rb+ or a mixture thereof, B is Pb2+ which can be partially or completely replaced by other ions including Bi3+, Sb3+, Sn2+ or a mixture thereof, and X is a halide …

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Computational Analysis Of High Carbon Steel For Optimal Design, Muhammad Zubair, Aneela Wakeel, M. Mustafa Azeem, Aneeqa Tabbassum Jan 2021

Computational Analysis Of High Carbon Steel For Optimal Design, Muhammad Zubair, Aneela Wakeel, M. Mustafa Azeem, Aneeqa Tabbassum

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

To increase the reliability of materials the computational analysis has been considered a vital tool for designing the components in the mechanical and nuclear engineering. By increasing a high percentage of carbon in liquid steel subsequently enhance the hardness, elasticity and toughness of the materials. In this research high carbon steel has been used due to its wear resistance properties in order to increasing hardness and strength. The findings of this research reveal the high carbon steel a good replacement material for conventional iron due to its low weight. Modeling and analysis of the steel, metallic glass and high carbon …

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Clinical Evaluation Of Respiratory Rate Measurements On Copd (Male) Patients Using Wearable Inkjet-Printed Sensor, Ala'aldeen Al-Halhouli, Loiy Al-Ghussain, Osama Khallouf, Alexander Rabadi, Jafar Alawadi, Haipeng Liu, Khaled Al Oweidat, Fei Chen, Dingchang Zheng Jan 2021

Clinical Evaluation Of Respiratory Rate Measurements On Copd (Male) Patients Using Wearable Inkjet-Printed Sensor, Ala'aldeen Al-Halhouli, Loiy Al-Ghussain, Osama Khallouf, Alexander Rabadi, Jafar Alawadi, Haipeng Liu, Khaled Al Oweidat, Fei Chen, Dingchang Zheng

Mechanical Engineering Graduate Research

Introduction: Chronic Obstructive Pulmonary Disease (COPD) is a progressive disease that causes long-term breathing problems. The reliable monitoring of respiratory rate (RR) is very important for the treatment and management of COPD. Based on inkjet printing technology, we have developed a stretchable and wearable sensor that can accurately measure RR on normal subjects. Currently, there is a lack of comprehensive evaluation of stretchable sensors in the monitoring of RR on COPD patients. We aimed to investigate the measurement accuracy of our sensor on COPD patients. Methodology: Thirty-five patients (Mean ± SD of age: 55.25 ± 13.76 years) in different stages …

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First-Order Comprehensive Adjoint Sensitivity Analysis Methodology For Critical Points In Coupled Nonlinear Systems. I: Mathematical Framework, Dan Gabriel Cacuci Jan 2021

First-Order Comprehensive Adjoint Sensitivity Analysis Methodology For Critical Points In Coupled Nonlinear Systems. I: Mathematical Framework, Dan Gabriel Cacuci

Faculty Publications

This work presents the novel first-order comprehensive adjoint sensitivity analysis methodology for critical points (1st-CASAM-CP), which enables the exact and efficient computation of the first-order sensitivities of responses defined at critical points (maxima, minima, saddle points) of coupled nonlinear models of physical systems characterized by imprecisely known parameters underlying the models, boundaries, and interfaces between the coupled systems. Responses defined at critical points are important in many applications, including system optimization, safety analyses and licensing. For the design and licensing of nuclear reactors, such essentially important responses include the maximum temperatures of the fuel and cladding in hot channels. The …

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First-Order Comprehensive Adjoint Sensitivity Analysis Methodology For Critical Points In Coupled Nonlinear Systems. Ii: Application To A Nuclear Reactor Thermal-Hydraulics Safety Benchmark, Dan Gabriel Cacuci Jan 2021

First-Order Comprehensive Adjoint Sensitivity Analysis Methodology For Critical Points In Coupled Nonlinear Systems. Ii: Application To A Nuclear Reactor Thermal-Hydraulics Safety Benchmark, Dan Gabriel Cacuci

Faculty Publications

Responses defined at critical points are particularly important for reactor safety analyses and licensing (e.g., the maximum fuel and/or clad temperature). The novel mathematical framework of the first-order comprehensive adjoint sensitivity analysis methodology for critical points (1st-CASAM-CP) is applied in this work to develop a reactor safety thermal-hydraulics benchmark model which admits exact closed-form expressions for the adjoint functions and for the first-order sensitivities of responses defined at critical points (maxima, minima, saddle points) in physical systems characterized by imprecisely known parameters, external and internal boundaries. This benchmark model is designed for verifying the capabilities and accuracies of computational tools …

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Concrete Delamination Depth Estimation Using A Noncontact Mems Ultrasonic Sensor Array And An Optimization Approach, Homin Song, Jinyoung Hong, Hajin Choi, Jiyoung Min Jan 2021

Concrete Delamination Depth Estimation Using A Noncontact Mems Ultrasonic Sensor Array And An Optimization Approach, Homin Song, Jinyoung Hong, Hajin Choi, Jiyoung Min

Michigan Tech Publications, Part 1

In this study, we present a method to estimate the depth of near-surface shallow delamination in concrete using a noncontact micro-electromechanical system (MEMS) ultrasonic sensor array and an optimization-based data processing approach. The proposed approach updates the bulk wave velocities of the tested concrete element by solving an optimization problem using reference ultrasonic scanning data collected from a full-depth concrete region. Subsequently, the depth of concrete delamination is estimated by solving a separate optimization problem. Numerical simulations and laboratory experiments were conducted to evaluate the performance of the proposed ultrasonic data processing approach. The results demonstrated that the depth of …

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Numerical Analysis Of Ultrasonic Multiple Scattering For Fine Dust Number Density Estimation, Homin Song, Ukyong Woo, Hajin Choi Jan 2021

Numerical Analysis Of Ultrasonic Multiple Scattering For Fine Dust Number Density Estimation, Homin Song, Ukyong Woo, Hajin Choi

Michigan Tech Publications, Part 1

In this study, a method is presented for estimating the number density of fine dust particles (the number of particles per unit area) through numerical simulations of multiply scattered ultrasonic wavefields. The theoretical background of the multiple scattering of ultrasonic waves under different regimes is introduced. A series of numerical simulations were performed to generate multiply scattered ultrasonic wavefield data. The generated datasets are subsequently processed using an ultrasound data processing approach to estimate the number density of fine dust particles in the air based on the independent scattering approximation theory. The data processing results demonstrate that the proposed approach …

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Numerical Reconstruction Of Spalled Particle Trajectories In An Arc-Jet Environment, Raghava S. C. Davuluri, Sean C. C. Bailey, Kaveh A. Tagavi, Alexandre Martin Jan 2021

Numerical Reconstruction Of Spalled Particle Trajectories In An Arc-Jet Environment, Raghava S. C. Davuluri, Sean C. C. Bailey, Kaveh A. Tagavi, Alexandre Martin

Mechanical Engineering Faculty Publications

To evaluate the effects of spallation on ablative material, it is necessary to evaluate the mass loss. To do so, a Lagrangian particle trajectory code is used to reconstruct trajectories that match the experimental data for all kinematic parameters. The results from spallation experiments conducted at the NASA HYMETS facility over a wedge sample were used. A data-driven adaptive methodology was used to adapts the ejection parameters until the numerical trajectory matches the experimental data. The preliminary reconstruction results show that the size of the particles seemed to be correlated with the location of the ejection event. The size of …

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Sensitivity And Estimation Of Flying-Wing Aerodynamic, Propulsion, And Inertial Parameters Using Simulation, Jaden Thurgood, Douglas F. Hunsaker Jan 2021

Sensitivity And Estimation Of Flying-Wing Aerodynamic, Propulsion, And Inertial Parameters Using Simulation, Jaden Thurgood, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

This paper explores the difficulties of aircraft system identification, specifically parameter estimation, for a rudderless aircraft. A white box method is used in conjunction with a nonlinear six degree-of-freedom aerodynamic model for the equations of motion in order to estimate 33 parameters that govern the aerodynamic, inertial, and propulsion forces within the mathematical model. The analysis is conducted in the time-domain of system identification. Additionally, all the parameters are estimated using a single flight rather than a series of shorter flights dedicated to estimating specific sets of parameters as is typically done. A final flight plan is developed with a …

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Practical Implementation Of A General Numerical Lifting-Line Method, Cory D. Goates, Douglas F. Hunsaker Jan 2021

Practical Implementation Of A General Numerical Lifting-Line Method, Cory D. Goates, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

A general numerical lifting-line method provides corrections to overcome the singularities inherent in the lifting-line downwash integrals in certain cases. These singularities have previously limited the scope of lifting-line theory to straight wings not in sideslip; in all other cases, more traditional numerical approaches to solving Prandtl's hypothesis fail to grid converge. However, this general numerical lifting-line method grid converges even for swept wings and wings in sideslip. In the current work, we apply the general numerical lifting-line method to any number of wings with arbitrary geometry. We also provide a dimensional derivation of the basic general numerical lifting-line equations …

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3d-Printed Wings With Morphing Trailing-Edge Technology, Benjamin C. Moulton, Douglas F. Hunsaker Jan 2021

3d-Printed Wings With Morphing Trailing-Edge Technology, Benjamin C. Moulton, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

In recent years, various groups have attempted to improve aircraft efficiency using wings with morphing trailing-edge technology. Most of these solutions are difficult to manufacture or have limited morphing capability. The present paper outlines a research effort to develop an easy to manufacture, fully 3D-printed morphing wing. This approach is advantageous due to the low cost, minimal man-hours required for manufacturing, and speed at which design iterations can be explored. Several prototypes were designed and tested and lessons learned from these iterations have been documented. Additionally, printer settings have been tested and catalogued to assist others attempting to reproduce these …

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Comparison Of Theoretical And High-Fidelity Aerostructural Solutions, Jeffrey D. Taylor, Douglas F. Hunsaker Jan 2021

Comparison Of Theoretical And High-Fidelity Aerostructural Solutions, Jeffrey D. Taylor, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

As contemporary aerostructural research in aircraft design trends toward high-fidelity computational methods, aerostructural solutions based on theory are often neglected or forgotten. In fact, in many modern aerostructural wing optimization studies, the elliptic lift distribution is used as a benchmark in place of theoretical aerostructural solutions with more appropriate constraints. In this paper, we review several theoretical aerostructural solutions that could be used as benchmark cases for wing design studies, and we compare them to high-fidelity solutions with similar constraints. Solutions are presented for studies with 1) constraints related to the wing integrated bending moment, 2) constraints related to the …

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Characterization Of The Common Research Model Wing For Low-Fidelity Aerostructural Analysis, Jeffrey D. Taylor, Douglas F. Hunsaker Jan 2021

Characterization Of The Common Research Model Wing For Low-Fidelity Aerostructural Analysis, Jeffrey D. Taylor, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

A characterization of the Common Research Model (CRM) wing for low-fidelity aerostructural optimization is presented. The geometric and structural properties are based on the CAD geometries and finite-element models for the CRM wing and the undeflected Common Research Model Wing (uCRM). Three approximations are presented for the elastic axis from previously-published studies on wing boxes similar to the uCRM, and approximations of the flexural and torsional rigidity are presented from a previously-published study using the uCRM wing. The characterization presented in this paper is intended to be used within low-fidelity aerostructural analysis tools to facilitate rapid design optimization and exploratory …

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Development Of A Combined Thermal Management And Power Generation System Using A Multi-Mode Rankine Cycle, Nathaniel M. Payne Jan 2021

Development Of A Combined Thermal Management And Power Generation System Using A Multi-Mode Rankine Cycle, Nathaniel M. Payne

Browse all Theses and Dissertations

Two sub-systems that present a significant challenge in the development of high performance air vehicle exceeding speeds of Mach 5 are the power generation and thermal management sub-systems. The air friction experienced at high speeds, particularly around the engine, generates large thermal loads that need to be managed. In addition, traditional jet engines do not operate at speeds greater than Mach 3, therefore eliminating the possibility of a rotating power generator. A multi-mode water-based Rankine cycle is an innovative method to address both of these constraints of generating power and providing cooling. Implementing a Rankine cycle-based system allows for the …

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Wetting And Brazing Of Yig Ceramics Using Ag–Cuo–Tio2 Metal Filler, Wanqi Zhao, Shuye Zhang, Jian Yang, Tiesong Lin, Dusan P. Sekulic, Peng He Jan 2021

Wetting And Brazing Of Yig Ceramics Using Ag–Cuo–Tio2 Metal Filler, Wanqi Zhao, Shuye Zhang, Jian Yang, Tiesong Lin, Dusan P. Sekulic, Peng He

Mechanical Engineering Faculty Publications

The wetting and brazing of Y3Fe5O12 (YIG) ceramics with a Ag–8CuO–2TiO2 filler was investigated for the first time. For comparison, the wettability of a Ag–10CuO filler on YIG ceramics was similarly investigated. The Ag–8CuO–2TiO2 filler has an equilibrium contact angle of approximately 31 °C on the YIG substrate at 1000 °C; thus, its wettability is excellent. Moreover, its wettability exceeds that of Ag–10CuO. The microstructure and the interfacial structure between the filler and the substrate were determined using scanning electron microscopy, X-ray diffraction, EPMA and transmission electron microscopy. The liquid Ag–8CuO–2TiO2 filler …

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Asme Rc Baja Racer, Chesna Kern Jan 2021

Asme Rc Baja Racer, Chesna Kern

All Undergraduate Projects

The American Society of Mechanical Engineers (ASME) holds a competition at their annual conference for college students to design an RC car that will compete in sprint, slalom, and obstacle course races. The RC Baja car was designed to complete every event in the competition with a focus on the obstacle course due to the anticipated impacts inflicted on the project car by jumps and other obstacles. The project was a collaborative effort. This presentation focuses on the chassis and suspension while Gizan Gando will present about the drivetrain. The drop and frontal impact test requirements guided the design process …

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