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Development Of Portable Hyperspectral Imaging Device, Chenxi Li, Youngkee Jung, Iyll-Joon Doh, Euiwon Bae 2017 Purdue University, Department of Agricultural and Biological Engineering

Development Of Portable Hyperspectral Imaging Device, Chenxi Li, Youngkee Jung, Iyll-Joon Doh, Euiwon Bae

The Summer Undergraduate Research Fellowship (SURF) Symposium

Most of the conventional hyperspectral imaging devices require sophisticated optical components, occupy a large footprint, and requires an initial capital investment for laboratories which mostly suits for laboratories benchtop system. The requirement of shipping the sample and waiting an extended period of time to get the results are the main downsides of this traditional approach. Capitalize in many specific field applications and diagnosis, portable devices provide both convenience and on-site results which are desirable for government agencies and food safety inspectors. This project was aimed to develop a low-cost, portable hyperspectral device for food safety applications. A smartphone was used ...


Design Of A Test-Rig For Gerotor Pump, Weijin Qiu, Andrea Vacca, Matteo Pellegri 2017 Purdue University

Design Of A Test-Rig For Gerotor Pump, Weijin Qiu, Andrea Vacca, Matteo Pellegri

The Summer Undergraduate Research Fellowship (SURF) Symposium

Gerotor pumps are a kind of fluid power machines widely used in the automotive field, especially for fuel injection as well as lubrication. To improve the performance of these units, virtual prototyping is necessary to decrease time and cost related to trial and error. Within this research a simulation model for Gerotor units has been developed with the aim of predicting accurately the performance of a generic unit. The model can accurately predict the system behavior regarding mechanical and volumetric losses by considering real machining tolerances and their interactions. Ultimately, this model should help to design new generations of Gerotor ...


Ani-Bot: A Mixed-Reality Ready Modular Robotics System, Zhuangying Xu, Yuanzhi Cao 2017 Purdue University

Ani-Bot: A Mixed-Reality Ready Modular Robotics System, Zhuangying Xu, Yuanzhi Cao

The Summer Undergraduate Research Fellowship (SURF) Symposium

DIY modular robotics has always had a strong appeal to makers and designers; being able to quickly design, build, and animate their own robots opens the possibility of bringing imaginations to life. However, current interfaces to control and program the DIY robot either lacks connection and consistency between the users and target (Graphical User Interface) or suffers from limited control capabilities due to the lack of versatility and functionality (Tangible User interface). We present Ani-Bot, a modular robotics system that allows users to construct Do-It-Yourself (DIY) robots and use mixed-reality approach to interact with them instantly. Ani-Bot enables novel user ...


Development Of The End-Effector Of A Cable-Driven Parallel Manipulator For Automated Crop Sensing, Iman Salafian 2017 University of Nebraska - Lincoln

Development Of The End-Effector Of A Cable-Driven Parallel Manipulator For Automated Crop Sensing, Iman Salafian

Mechanical (and Materials) Engineering -- Dissertations, Theses, and Student Research

A four cable-driven parallel manipulator (4CDPM), consisting of sophisticated spectrometers and imagers, is under development for use in acquiring phenotypic and environmental data over an acre-sized maize field. This thesis presents the design, controls, and testing of two sub-systems in a 4CDPM: a Center of Mass Balance System (CMBS) and a Drop-Down System (DDS).

One of the factors that influences stability is the center of mass (COM) position of the end effector. An offset in COM can cause a pendulum effect or an undesired tilt angle. A center of mass balancing system is presented in this thesis to minimize the ...


Using Relative Head And Hand-Target Features To Predict Intention In 3d Moving-Target Selection, Juan Sebastian Casallas, James H. Oliver, Jonathan W. Kelly, Frederic Merienne, Samir Garbaya 2017 Iowa State University

Using Relative Head And Hand-Target Features To Predict Intention In 3d Moving-Target Selection, Juan Sebastian Casallas, James H. Oliver, Jonathan W. Kelly, Frederic Merienne, Samir Garbaya

Jonathan W. Kelly

Abstract: Selection of moving targets is a common, yet complex task in human-computer interaction (HCI) and virtual reality (VR). Predicting user intention may be beneficial to address the challenges inherent in interaction techniques for moving-target selection. This article extends previous models by integrating relative head-target and hand-target features to predict intended moving targets. The features are calculated in a time window ending at roughly two-thirds of the total target selection time and evaluated using decision trees. With two targets, this model is able to predict user choice with up to ~ 72% accuracy on general moving-target selection tasks and up to ...


A Parametric Investigation And Optimization Of A Cylindrical Explosive Charge, Logan Ellsworth Beaver 2017 Marquette University

A Parametric Investigation And Optimization Of A Cylindrical Explosive Charge, Logan Ellsworth Beaver

Master's Theses (2009 -)

Explosive device design has a wide impact in the space, manufacturing, military, and mining industries. As a step toward computer assisted design of explosives, an optimization framework was developed using the Design Analysis Kit for Optimization and Terrascale Applications (Dakota). This software was coupled with the hydrocode CTH. This framework was applied to three exploding cylinder models, two in 1D and one in 2D. Gradient descent, dividing rectangles, and a genetic algorithm were each applied to the one-dimensional models. Parametric studies were performed as a basis for comparison with the optimization algorithms, as well as qualifying the 1D model's ...


A Study In The Use Of Elastic Materials In Expandable Containment Units, Andrew J. Eisenman, Joby Anthony III, David Satagaj 2017 Liberty University

A Study In The Use Of Elastic Materials In Expandable Containment Units, Andrew J. Eisenman, Joby Anthony Iii, David Satagaj

Montview Liberty University Journal of Undergraduate Research

The rigidity of materials in conjunction with the aspect of elasticity has been a concern of modern technologies and construction in recent centuries because of the advantages that expandable storage would bring to the fields of containment units with respect to population growth and space exploration. The world population is currently growing at an exponential rate, and as our population grows, the more important it will become to have containment units that can both contain large volumes of material as well as minuscule amounts of material without wasting space. In order accomplish this, we will need a new type of ...


Comparing Building Modeling Software To The Energy Record Of A Preexisting Structure, Nathan Lasley 2017 Western Kentucky University

Comparing Building Modeling Software To The Energy Record Of A Preexisting Structure, Nathan Lasley

Honors College Capstone Experience/Thesis Projects

Buildings are complex systems - even "simple" residential structures. Many factors go into building energy consumption and the design to reduce it. Computer energy modeling allows the simultaneous consideration and balance of many of those variables. Computer models are only as good as the information provided however. Tools like blower door and duct blaster can be used to aid in verifying the model or to provide more information to build a better model. In order to verify of building computer energy simulation methods, the Western Kentucky University (WKU) Office of Sustainability located at 503 Regents Ave. in Bowling Green KY was ...


Machine Learning For High-Throughput Stress Phenotyping In Plants, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar 2017 Iowa State University

Machine Learning For High-Throughput Stress Phenotyping In Plants, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar

Baskar Ganapathysubramanian

Advances in automated and high-throughput imaging technologies have resulted in a deluge of high-resolution images and sensor data of plants. However, extracting patterns and features from this large corpus of data requires the use of machine learning (ML) tools to enable data assimilation and feature identification for stress phenotyping. Four stages of the decision cycle in plant stress phenotyping and plant breeding activities where different ML approaches can be deployed are (i) identification, (ii) classification, (iii) quantification, and (iv) prediction (ICQP). We provide here a comprehensive overview and user-friendly taxonomy of ML tools to enable the plant community to correctly ...


An End-To-End Convolutional Selective Autoencoder Approach To Soybean Cyst Nematode Eggs Detection, Adedotun Akintayo, Nigel Lee, Vikas Chawla, Mark P. Mullaney, Christopher C. Marett, Asheesh K. Singh, Arti Singh, Gregory L. Tylka, Baskar Ganapathysubramanian, Soumik Sarkar 2017 Iowa State University

An End-To-End Convolutional Selective Autoencoder Approach To Soybean Cyst Nematode Eggs Detection, Adedotun Akintayo, Nigel Lee, Vikas Chawla, Mark P. Mullaney, Christopher C. Marett, Asheesh K. Singh, Arti Singh, Gregory L. Tylka, Baskar Ganapathysubramanian, Soumik Sarkar

Baskar Ganapathysubramanian

Soybean cyst nematodes (SCNs), Heterodera glycines, are unwanted micro-organisms that reduce yields of a major source of food–soybeans. In the United States alone, approximately $1 billion is lost per annum due to cyst nematode infections on soybean plants. Experts have conceived methods of mitigating the losses through phenotyping techniques via SCN eggs density estimation, and then applying the right control measures. Currently, they rely on labor intensive and time-consuming identification of SCN eggs in soil samples processed onto microscopic frames. However, phenotyping a vast array of fields requires automated high-throughput techniques. From an automation perspective, detection of rarely occurring ...


Incorporation Of Composite Defects From Ultrasonic Nde Into Cad And Fe Models, Onur Rauf Bingol, Bryan Schiefelbein, Robert J. Grandin, Stephen D. Holland, Adarsh Krishnamurthy 2017 Iowa State University

Incorporation Of Composite Defects From Ultrasonic Nde Into Cad And Fe Models, Onur Rauf Bingol, Bryan Schiefelbein, Robert J. Grandin, Stephen D. Holland, Adarsh Krishnamurthy

Stephen D. Holland

Fiber-reinforced composites are widely used in aerospace industry due to their combined properties of high strength and low weight. However, owing to their complex structure, it is difficult to assess the impact of manufacturing defects and service damage on their residual life. While, ultrasonic NDE is the preferred method to identify the presence of defects (such as delaminations) in composites, there are no reasonable ways to model the damage and evaluate the structural integrity of composites. Hence, a framework to incorporate flaws and known damage models automatically into a finite element analysis (FEA) of composites will aid in accessing their ...


Design Of Orbital Maneuvers With Aeroassisted Cubesatellites, Stephanie Clark 2017 University of Arkansas, Fayetteville

Design Of Orbital Maneuvers With Aeroassisted Cubesatellites, Stephanie Clark

Stephanie Clark

Recent advances within the field of cube satellite technology has allowed for the possible development of a maneuver that utilizes a satellite's Low Earth Orbit (LEO) and increased atmospheric density to effectively use lift and drag to implement a noncoplanar orbital maneuver. Noncoplanar maneuvers typically require large quantities of propellant due to the large delta-v that is required. However, similar maneuvers using perturbing forces require little or no propellant to create the delta-v required. This research reported here studied on the effects of lift on orbital changes, those of noncoplanar types in particular, for small satellites without orbital maneuvering ...


Virtual Training Simulator For Atomic Force Microscopy, Matthew J. Heying, James H. Oliver, Sriram Sundararajan, Pranav Shrotriya, Qingze Zou 2017 Iowa State University

Virtual Training Simulator For Atomic Force Microscopy, Matthew J. Heying, James H. Oliver, Sriram Sundararajan, Pranav Shrotriya, Qingze Zou

Sriram Sundararajan

Training novice users how to operate an Atomic Force Microscope (AFM) is expensive due to the cost of equipment and the time required to train users in a hands-on learning environment. Training large groups of users simultaneously presents a problem because usually only one AFM is available for use. To alleviate this problem, a virtual training simulator for AFM training has been developed. The training simulator is a Windows-based software program designed to allow users to simulate basic AFM operation on a PC. Instructors can use this tool to demonstrate the exact same instruction that a user would receive in ...


Incorporation Of Composite Defects From Ultrasonic Nde Into Cad And Fe Models, Onur Rauf Bingol, Bryan Schiefelbein, Robert J. Grandin, Stephen D. Holland, Adarsh Krishnamurthy 2017 Iowa State University

Incorporation Of Composite Defects From Ultrasonic Nde Into Cad And Fe Models, Onur Rauf Bingol, Bryan Schiefelbein, Robert J. Grandin, Stephen D. Holland, Adarsh Krishnamurthy

Robert Grandin

Fiber-reinforced composites are widely used in aerospace industry due to their combined properties of high strength and low weight. However, owing to their complex structure, it is difficult to assess the impact of manufacturing defects and service damage on their residual life. While, ultrasonic NDE is the preferred method to identify the presence of defects (such as delaminations) in composites, there are no reasonable ways to model the damage and evaluate the structural integrity of composites. Hence, a framework to incorporate flaws and known damage models automatically into a finite element analysis (FEA) of composites will aid in accessing their ...


Development Of 3d Compression Molded Composite Primary Structure, Sean D. Tischler, Jacob H. Goldstein, Alea A. Perez 2017 California Polytechnic State University, San Luis Obispo

Development Of 3d Compression Molded Composite Primary Structure, Sean D. Tischler, Jacob H. Goldstein, Alea A. Perez

Mechanical Engineering

The work accomplished by the Black Gold team improved upon the carbon fiber compression molding research and information available on the Cal Poly San Luis Obispo campus. The team used the rear suspension rocker arm off a Ventana Alpino mountain bike as a design goal for this project. This research and body of work includes the methods used to design a compression molded part for complex part loading and shape. This extends to the process of choosing an appropriate layup process, in addition to benefits and drawbacks of the use of chopped fibers in compression molding. The research includes the ...


Leading Edge Boundary Layer Suction Device For The Cal Poly Rolling Road Wind Tunnel, Daniel C. Glover, Liam M. Madden, Robert J. Cabri 2017 California Polytechnic State University, San Luis Obispo

Leading Edge Boundary Layer Suction Device For The Cal Poly Rolling Road Wind Tunnel, Daniel C. Glover, Liam M. Madden, Robert J. Cabri

Mechanical Engineering

No abstract provided.


Additive Manufacturing For Post-Processing, Nathan D. Goodwin, Andrew Furmidge 2017 California Polytechnic State University, San Luis Obispo

Additive Manufacturing For Post-Processing, Nathan D. Goodwin, Andrew Furmidge

Mechanical Engineering

No abstract provided.


Bear Minimum: Ultralight Composite Bear Canister, Rama B. Adajian, Adam C. Eisenbarth 2017 California Polytechnic State University, San Luis Obispo

Bear Minimum: Ultralight Composite Bear Canister, Rama B. Adajian, Adam C. Eisenbarth

Mechanical Engineering

The ultralight backpacking community needs a strong, easy to use, safe bear canister that is lighter than current market products for trekking in the backcountry. A full design of the lid for the bear canister is to be completed. This includes the locking mechanism to ensure it is bear proof, the interface between the lid and the canister, and the structure of the lid so it passes the strength and weight specifications. The lid, along with the already designed canister body, is to be manufactured with formal documentation. The lid will initially be tested separately and then with the canister ...


Pedal-Powered Drivetrain System, Geremy J. Patterson, Callaghan Fenerty, Bradley Welch 2017 California Polytechnic State University, San Luis Obispo

Pedal-Powered Drivetrain System, Geremy J. Patterson, Callaghan Fenerty, Bradley Welch

Mechanical Engineering

No abstract provided.


Feasibility Of Using 3d Printed Molds For Thermoforming Thermoplastic Composites, Sunil Bhandari 2017 University of Maine

Feasibility Of Using 3d Printed Molds For Thermoforming Thermoplastic Composites, Sunil Bhandari

Electronic Theses and Dissertations

This thesis presents a novel combined experimental and numerical mechanics approach for characterizing 3D printed thermoplastic materials by the fused deposition modeling process for thermoforming thermoplastic composites. The implications of this work are:

  1. a methodology for model-based performance evaluation of 3D printed structural parts, and
  2. an improved design of 3D printed molds for composites manufacturing, which has potential for material innovations and scaled-up applications in additive manufacturing.

The thesis formulates basic criteria for selection of thermoplastic polymer used for the 3D printed mold based on forming temperatures. The thesis creates a lattice and shell finite element model of the 3D ...


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