An In-Silico Assessment Of Stemless Shoulder Arthroplasty: From Ct To Predicted Bone Response, 2018 The University of Western Ontario
An In-Silico Assessment Of Stemless Shoulder Arthroplasty: From Ct To Predicted Bone Response, Jacob M. Reeves
Electronic Thesis and Dissertation Repository
Despite the emergence of stemless humeral implants that utilize short fixation features to gain purchase solely in the metaphysis, the literature contains little information regardingthe morphology and mechanical properties of the humerus’ proximal trabecular-canal, and how stemless implants impact bone response. The present work employs in-silicotools, including CT-based and Finite Element (FE) methods, to define parameters that may influence stemless implant design.
The density and morphology of the proximal humerus were assessed using CT-derived point clouds of the trabecular-canal. Bone density was found to diminish 15-20mm beneath the humeral head resection and was greater peripherally. The depth, path and bounding ...
Designing Model Experiments Around Harriet Tubman Middle School, 2018 Portland State University
Designing Model Experiments Around Harriet Tubman Middle School, Ryan Crist, Sarah Smith, Greg Sakradse, Ryan Scott, Elliott Gall
Undergraduate Research & Mentoring Program
Air quality is of concern in densely populated areas and especially near sources of inefficiently exhausted fossil fuel such as near the highway. Harriet Tubman middle school in North Portland, Oregon is situated alongside highway 5. Here, model experiments are designed and proposed to observe the instantaneous flow fields reflect modifications. LIDAR data was used to model the school and surrounding topography three-dimensionally in order to construct a model school and surrounding area from laser cut cardboard with a surface smoothed with paper mache. This model will be placed in the Portland State University wind tunnel; transport of mean and ...
Three Speed 3d Printed Magnetic Gear, 2018 Portland State University
Three Speed 3d Printed Magnetic Gear, Robert J. Rutherford
Undergraduate Research & Mentoring Program
Power transmission is traditionally achieved with a mechanical gear. Mechanical gears require maintenance, cause vibration, and have no overload protection. Magnetic gears offer an innovative solution to these drawbacks as they do not require regular maintenance, have no need for lubrication, create very little acoustic noise, have built in overload protection and as a result of these advantages, have a longer lifetime of operation. This research focused upon the design, assembly and demonstration of the magnetic gear concept. The research used a solid works design, 3D printed ABS plastic housing, and use of neodymium magnets and ferromagnetic iron segments.
A Numerical Study In Prediction Of Pressure On High-Speed Planing Craft During Slamming Events, 2018 University of New Orleans
A Numerical Study In Prediction Of Pressure On High-Speed Planing Craft During Slamming Events, Shivank Srivastava
University of New Orleans Theses and Dissertations
This thesis is an attempt to create a computer based tool that can be used academically and later industrially by naval architects in analysis and development of efficient planing hull forms. The work contained here is based on the theory created by Vorus (1996) which falls between empirical asymptotic solutions and intractable non-linear boundary value problem in the time-domain. The computer code developed predicts pressures on the bottom of high-speed planing craft during slamming events. The code is validated with available numerical data as a benchmark case. An aluminum wedge is dropped from various heights resulting in unsteady pressure distributions ...
Development Of Microdialysis Probes In Series Approach Toward Eliminating Microdialysis Sampling Calibration: Miniaturization Into A Pdms Microfluidic Device, 2018 University of Arkansas, Fayetteville
Development Of Microdialysis Probes In Series Approach Toward Eliminating Microdialysis Sampling Calibration: Miniaturization Into A Pdms Microfluidic Device, Randy Espinal Cabrera
Theses and Dissertations
A new microdialysis sampling method and microfluidic device were developed in vitro. The method consisted of using up to four microdialysis sampling probes connected in series to evaluate the relative recovery (RR) of different model solutes methyl orange, fluorescein isothiocyanate (FITC)-dextran average mol. wt. 4,000 (FITC-4), FITC-10, FITC-20, and FITC-40. Different flow rates (0.8, 1.0, and 1.5 µL/min) were used to compare experimentally observed relative recoveries with theoretical estimations. With increasing the number of probes in series, the relative recovery increases and ~100% (99.7% ± 0.9%) relative recovery for methyl orange was obtained ...
Novelis Teaching Table, 2018 Kennesaw State University
Novelis Teaching Table, Phillip Laplante, Robert Hemker, Taylor Mcgriff, Juan Restrepo, Shelly Abraham
Honors College Capstones and Theses
Novelis is a company that specializes in metal casting, recycling, and rolling. They primarily focus on aluminum rolling for cans and car bodies but are an industry leader in numerous related areas. As the rolling process is not taught in most general engineering courses, Novelis periodically teaches new engineers and technicians about the specifics of this relatively mathematically complex process. Most of the current teaching methods are through PowerPoint presentations and group exercises, with minimal hands-on involvement. One of the most useful tools for teaching the rolling process is an actual jeweler’s rolling mill, which Novelis currently possesses, but ...
Evolution Of Mg Az31 Twin Activation With Strain: A Machine Learning Study, 2018 Brigham Young University
Evolution Of Mg Az31 Twin Activation With Strain: A Machine Learning Study, Andrew D. Orme
Undergraduate Honors Theses
Machine learning is being adopted in various areas of materials science to both create predictive models and to uncover correlations which reveal underlying physics. However, these two aims are often at odds with each other since the resultant predictive models generally become so complex that they can essentially be described as a black box, making them difficult to understand. In this study, complex relationships between microstructure and twin formation in AZ31 magnesium are investigated as a function of increasing strain. Supervised machine learning is employed, in the form of J-48 decision trees. In one approach, strain is incorporated as an ...
Manufacturing Process Simulation – On Its Way To Industrial Application, 2018 University of Applied Sciences Augsburg
Manufacturing Process Simulation – On Its Way To Industrial Application, Dennis Otten, Tobias A. Weber, Jan-Christoph Arent
International Journal of Aviation, Aeronautics, and Aerospace
Manufacturing process simulation (MPS) has become more and more important for aviation and the automobile industry. A highly competitive market requires the use of high performance metals and composite materials in combination with reduced manufacturing cost and time as well as a minimization of the time to market for a new product. However, the use of such materials is expensive and requires sophisticated manufacturing processes. An experience based process and tooling design followed by a lengthy trial-and-error optimization is just not contemporary anymore. Instead, a tooling design process aided by simulation is used more often. This paper provides an overview ...
An Open-Source Quadrature-Based Population Balance Solver For Openfoam, 2018 Iowa State University
An Open-Source Quadrature-Based Population Balance Solver For Openfoam, Alberto Passalacqua, Frédérique Laurent, Ehsan Madadi-Kandjani, Jeffrey C. Heylmun, Rodney O. Fox
Chemical and Biological Engineering Publications
The extended quadrature method of moments (EQMOM) for the solution of population balance equations (PBE) is implemented in the open-source computational fluid dynamic (CFD) toolbox OpenFOAM as part of the OpenQBMM project. The moment inversion procedure was designed (Nguyen et al., 2016) to maximize the number of conserved moments in the transported moment set. The algorithm is implemented in a general structure to allow the addition of other kernel density functions defined on R+, and arbitrary kernels to describe physical phenomena involved in the evolution of the number density function. The implementation is verified with a set of zero-dimensional cases ...
An Application Of Conceptual Design And Multidisciplinary Analysis Transitioning To Detailed Design Stages, 2018 Iowa State University
An Application Of Conceptual Design And Multidisciplinary Analysis Transitioning To Detailed Design Stages, Alex Renner, Frederick Thompson, Vijay K. Kalivarapu, Eliot H. Winer, James H. Oliver
James H. Oliver
This paper presents conceptual design and feasibility analysis for oversized grain harvesting combine headers with dynamic topology. To meet customer harvesting productivity requirements, the harvesting header must increase in width from 40 to 60 feet, yet be usable on current generation combine harvesters. While designing concepts for an oversized harvester head is a complex problem by itself, it also presents a latent challenge with packaging and transporting. Transporting a 60ft harvester header using traditional methods will violate road transport regulations imposed by US state and federal governments. This warrants innovations in both designing an oversized header concepts and viable means ...
Human Powered Vehicle Frame Design, Analysis, Manufacturing, And Testing, 2018 University of Akron
Human Powered Vehicle Frame Design, Analysis, Manufacturing, And Testing, Christopher Reed, Kole W. Williams
Honors Research Projects
The University of Akron Human Powered Vehicle Design Team began this academic year with a mission to create a practical, lightweight, safe, and efficient human powered vehicle. The main objectives of ZC18 were inspired by competition in the 2018 Human Powered Vehicle Challenge at ASME E-Fest East. In addition to adhering to the rules of this competition, scoring high on the submitted reports, and competing well in the racing events, the team set a goal to assist in furthering knowledge related to the topic of human powered vehicles.
ZC18 was constructed nearly completely in the University of Akron’s Design ...
Indicator-Supporting Fixture Based On A Time And Motion Study, 2018 The University of Akron
Indicator-Supporting Fixture Based On A Time And Motion Study, James Anthony
Honors Research Projects
The design goal of this project was proposed by the sponsor company, Jay-Em Aerospace in Cuyahoga Falls, Ohio. I was tasked with observing a process carried out in the Assembly department by multiple people and charged with coming up with a fixture to improve safety, speed, and accuracy of this task. To determine how to make the process safer, interviews were conducted with the people who would usually be carrying out this process and determined their top concerns and issues with how it is carried out currently. To improve the speed and accuracy of the process, a "time and motion ...
Modeling And Analysis For Driveline Jerk Control, 2018 Michigan Technological University
Modeling And Analysis For Driveline Jerk Control, Prince Lakhani
Dissertations, Master's Theses and Master's Reports
In modern-day automotive industry, automotive manufacturers pay keen attention to driver’s safety and comfort by ensuring good vehicle drivability, feel of acceleration, limiting jerk and noise. The vehicle driveline plays a critical role to meet these criteria. By using high-fidelity simulation tool such as AMESim®, it is now possible to accurately model the vehicle driveline to be tested for different scenarios. With Simulink®, one can develop an efficient torque-based control system to limit the driveline oscillations and the generated noise. So, a joint simulation is used which provides a platform to evaluate the estimators and control system while considering ...
Building Intelligence In The Automated Traffic Signal Performance Measures With Advanced Data Analytics, 2018 Iowa State University
Building Intelligence In The Automated Traffic Signal Performance Measures With Advanced Data Analytics, Tingting Huang, Subhadipto Poddar, Cristopher Aguilar, Anuj Sharma, Edward Smaglik, Sirisha Kothuri, Peter Koonce
Civil, Construction and Environmental Engineering Conference Presentations and Proceedings
Automated traffic signal performance measures (ATSPMs) are an effort to equip traffic signal controllers with high-resolution data-logging capabilities and utilize this data to generate performance measures. These measures allow practitioners to improve operations as well as to maintain and operate their systems in a safe and efficient manner. Although these measures have changed the way that operators manage their systems, several shortcomings of the tool, identified by talking with signal operators, are a lack of data quality control and the extent of resources required to properly use the tool for system-wide management. To address these shortcomings, intelligent traffic signal performance ...
Traffic System Anomaly Detection Using Spatiotemporal Pattern Networks, 2018 Iowa State University
Traffic System Anomaly Detection Using Spatiotemporal Pattern Networks, Tingting Huang, Chao Liu, Anuj Sharma, Soumik Sarkar
Civil, Construction and Environmental Engineering Publications
Traffic dynamics in the urban interstate system are critical in terms of highway safety and mobility. This paper proposes a systematic data mining technique to detect traffic system-level anomalies in a batch-processing fashion. Built on the concepts of symbolic dynamics, a spatiotemporal pattern network (STPN) architecture is developed to capture the system characteristics. This novel spatiotemporal graphical modeling approach is shown to be able to extract salient time series features and discover spatial and temporal patterns for a traffic system. An information-theoretic metric is used to quantify the causal relationships between sub-systems. By comparing the structural similarity of the information-theoretic ...
3d Perception-Based Collision-Free Robotic Leaf Probing For Automated Indoor Plant Phenotyping, 2018 Iowa State University
3d Perception-Based Collision-Free Robotic Leaf Probing For Automated Indoor Plant Phenotyping, Yin Bao, Dylan Shah, Lie Tang
Agricultural and Biosystems Engineering Publications
Various instrumentation devices for plant physiology study such as spectrometer, chlorophyll fluorimeter, and Raman spectroscopy sensor require accurate placement of their sensor probes toward the leaf surface to meet specific requirements of probe-to-target distance and orientation. In this work, a Kinect V2 sensor, a high-precision 2D laser profilometer, and a six-axis robotic manipulator were used to automate the leaf probing task. The relatively wide field of view and high resolution of Kinect V2 allowed rapid capture of the full 3D environment in front of the robot. The location and size of each plant were estimated by k-means clustering where “k ...
Articulating Axial-Flow Turbomachinery Rotor Blade For Enabling Variable Speed Gas Turbine Engine, 2018 United States Army Research Laboratory
Articulating Axial-Flow Turbomachinery Rotor Blade For Enabling Variable Speed Gas Turbine Engine, Muthuvel Murugan, Anindya Ghoshal, Luis Bravo, Fei Xu, Ming-Chen Hsu, Yuri Bazilevs
Mechanical Engineering Conference Presentations, Papers, and Proceedings
Current technology gas turbine engines are generally optimized to operate at nearly a fixed speed with fixed blade geometries for the design operating condition. When the operating condition of the engine changes, the flow incidence angles may not be optimum with the blade geometries resulting in reduced off-design performance. But, if we have the capability of articulating the pitch angle of axial-flow compressor/turbine blades in coordination with adjustable stator vanes, it can improve performance by maintaining flow incidence angles within the optimum range for given blade geometries at all operating conditions. Maintaining flow incidence angles within the optimum range ...
Optimizing Gas-Turbine Operation Using Finite-Element Cfd Modeling, 2018 Iowa State University
Optimizing Gas-Turbine Operation Using Finite-Element Cfd Modeling, Manoj R. Rajanna, Fen Xu, Ming-Chen Hsu, Yuri Bazilevs, Muthuvel Murugan, Anindya Ghoshal, Luis Bravo
Mechanical Engineering Conference Presentations, Papers, and Proceedings
Gas turbine engines are generally optimized to operate at nearly a fixed speed with fixed blade geometries for the design operating condition. The performance of gas turbine reduces when operated at different operating condition. In this work, we present a parametric study to optimize gas-turbine performance under off-design conditions by articulating the rotor blades in both clockwise and counterclockwise directions. Articulating the pitch angle of turbine blades in coordination with adjustable nozzle vanes can improve performance by maintaining flow incidence angles within the optimum range at certain off-design conditions. To observe the effect of rotor pitching on the performance of ...
Call For Abstracts - Resrb 2018, June 18-20, Brussels, Belgium, 2017 Wojciech Budzianowski Consulting Services
Call For Abstracts - Resrb 2018, June 18-20, Brussels, Belgium, Wojciech M. Budzianowski
No abstract provided.
Characterizing Jetting In An Acoustic Fluidized Bed Using X-Ray Computed Tomography, 2017 Iowa State University
Characterizing Jetting In An Acoustic Fluidized Bed Using X-Ray Computed Tomography, David R. Escudero, Theodore J. Heindel
Theodore J. Heindel
Understanding the jetting phenomena near the gas distributor plate in a fluidized bed is important to gas-solids mixing, heat and mass transfer, and erosion on any bed internals, which can all affect the performance of the bed. Moreover, acoustic vibration in a fluidized bed can be used to enhance the fluidization quality of particulate matter. Characterizing the jetting structure using X-ray computed tomography in a 3D fluidized bed, with and without acoustic intervention, is completed in this study. A 10.2 cm ID fluidized bed filled with glass beads, with material density of 2500 kg/m3 and particles sizes ranging ...