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Articles 75391 - 75420 of 196126

Full-Text Articles in Engineering

Thin Film Cocaine Sensors, Datta Sheregar, Vick Hung, Jenna Walker, Orlando Hoilett, Jacqueline Linnes, Robert Nawrocki Aug 2018

Thin Film Cocaine Sensors, Datta Sheregar, Vick Hung, Jenna Walker, Orlando Hoilett, Jacqueline Linnes, Robert Nawrocki

The Summer Undergraduate Research Fellowship (SURF) Symposium

Over 7 million Americans suffer from a drug use disorder and up to 60% of individuals treated for addiction will ultimately relapse. We are developing ultra-thin film electrodes on a wearable substrate for a sensor that can detect minute amounts of cocaine in sweat droplets secreted from the skin. This will enable wearable drug monitoring for personalized rehabilitation treatment plans and improve long-term addiction recovery rates. The current research focuses on developing a thin-film sensor that can be applied directly to the skin. First a layer of PVP (poly4-vinylphenol) was prepared and then spun coated onto a piece of glass. …

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Characterization And Quantification Of Fibrin Gel Mechanics With Fibroblast Invasion, Nicklaus Iavagnilio, Sarah Calve, Adrian Buganza-Tepole Aug 2018

Characterization And Quantification Of Fibrin Gel Mechanics With Fibroblast Invasion, Nicklaus Iavagnilio, Sarah Calve, Adrian Buganza-Tepole

The Summer Undergraduate Research Fellowship (SURF) Symposium

Cutaneous wounds undergo an intricate healing process stimulated by a variety of local mechanical and biological stimuli that lead to patterns of growth and remodeling. Despite significant research in dermal wound healing, pathological scarring is still common particularly in wounds closed under mechanical stress, or large wounds left to heal by secondary intention. The purpose of this study is to utilize previously established wound healing models using fibrin gels and fibroblasts to better understand the functional relationships of the biological processes of normal compared to abnormal wound healing. Increases in uni-axial strain and transforming growth factor beta-1 concentration have been …

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Solid Solution Strengthened Fe Alloys, Sidharth Krishnamoorthi, Ruizhe Su, Yifan Zhang, Xinghang Zhang Aug 2018

Solid Solution Strengthened Fe Alloys, Sidharth Krishnamoorthi, Ruizhe Su, Yifan Zhang, Xinghang Zhang

The Summer Undergraduate Research Fellowship (SURF) Symposium

Iron (Fe)-based alloys (such as steel) are widely used structural materials in industry. Numerous methods have been applied to improve their mechanical properties. In this study, we used a technique know as magnetron sputtering to deposit various Fe-based binary alloy coatings to investigate the influence of solutes on solid solution hardening. Several factors contribute to the solid solution hardening of the alloys, such as composition, atomic radius, modulus, and lattice parameter. After preliminary calculations and analysis, we selected several solutes, including molybdenum (Mo), niobium (Nb), and zirconium (Zr). The compositions of solutes were varied to be 2.5, 5, 8 atomic …

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Design Modifications For A Small, Affordable Low Intensity Focused Ultrasound Device, Sui Shen, Kelsey C. Bayer, Pedro P. Irazoqui Aug 2018

Design Modifications For A Small, Affordable Low Intensity Focused Ultrasound Device, Sui Shen, Kelsey C. Bayer, Pedro P. Irazoqui

The Summer Undergraduate Research Fellowship (SURF) Symposium

Depression is a prevalent and serious medical illness, and while there are antidepressant drugs to mitigate depressive symptoms, 10 - 30% of patients either do not respond or develop a tolerance to these medications. Literature supports that there is an interrelation between the inflammatory response and treatment-resistant depression. A promising method to tackle depressive symptoms is to block the inflammatory signaling pathway with vagus nerve stimulation (VNS), reducing pro-inflammatory cytokine levels. Although electrical VNS devices exist, they are invasive, expensive, and have side effects including voice alteration, dyspnea, and cough. Low intensity focused ultrasound (LIFU) is a promising method that …

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"I Don't Belong With All The Really Smart Kids Here": Student Characterizations Of Belonging In Engineering, Lisa J. Musselman, Jacqueline A. Rohde, Brianna S. Benedict, Allison Godwin Aug 2018

"I Don't Belong With All The Really Smart Kids Here": Student Characterizations Of Belonging In Engineering, Lisa J. Musselman, Jacqueline A. Rohde, Brianna S. Benedict, Allison Godwin

The Summer Undergraduate Research Fellowship (SURF) Symposium

This research paper is a qualitative study of how students with diverse demographics, mindsets, and identities describe what it means to belong in engineering. Engineering students’ sense of belonging has a significant impact on students’ decisions to leave engineering. Talented students who feel that they do not belong in engineering are more likely to leave than their peers. Previous studies have focused on belonging for underrepresented students in engineering (e.g., women or minorities) or specific factors contributing to student belonging (e.g., classroom performance). However, few have explored how students describe what it means for them to belong in engineering to …

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Validation Of Lateral Gap Leakage Objective Function For Use In Multi-Objective Optimization Of Gerotor Pumps, Kevin Cohen, Andrew Robison, Andrea Vacca Aug 2018

Validation Of Lateral Gap Leakage Objective Function For Use In Multi-Objective Optimization Of Gerotor Pumps, Kevin Cohen, Andrew Robison, Andrea Vacca

The Summer Undergraduate Research Fellowship (SURF) Symposium

Gerotor pumps are a common pump choice used in the automotive, agricultural, and construction fields for their low cost and durability. Recently, demanding applications have called for significant design improvements in gear geometry. To address these design challenges, multi-objective optimization has been applied to gear geometry. The goal of this work is to introduce minimizing of lateral-gap leakage to the multi-objective optimization. An objective function for evaluating lateral-gap leakage based on 1D, pressure driven flow is proposed. This simplified approach is compared to CFD simulation solving of Reynolds equation with two pressure boundaries. Comparison of the simplified relation and the …

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High Performance Mortar With 100% Recycled Aggregate Using Titanium Dioxide Nanoparticles, Molly Schrager, Vito Francioso, Arjun Kadakia, Mirian Velay-Lizancos Aug 2018

High Performance Mortar With 100% Recycled Aggregate Using Titanium Dioxide Nanoparticles, Molly Schrager, Vito Francioso, Arjun Kadakia, Mirian Velay-Lizancos

The Summer Undergraduate Research Fellowship (SURF) Symposium

Concrete and mortar are materials commonly used in construction. Their main compounds are cement, aggregates (sand and gravel) and water. In an effort to increase the sustainability of these materials, the idea of using recycled aggregates from ground old concrete and using it to make mortar and concrete has gained more interest. It has two advantages: it reduces the need to mine for raw materials and lessens the amount of old and defective concrete that is typically put in landfills. But, the use of recycled concrete aggregate lowers the strength of mortars and concretes because the residual compounds in the …

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Rapid Sample Processing Of Foodborne Pathogens Using Cross-Flow Microfiltration, Casey Bomrad, Michael R. Ladisch, Linda Liu, Jessica Lynn Zuponcic, Eduardo Ximenes Aug 2018

Rapid Sample Processing Of Foodborne Pathogens Using Cross-Flow Microfiltration, Casey Bomrad, Michael R. Ladisch, Linda Liu, Jessica Lynn Zuponcic, Eduardo Ximenes

The Summer Undergraduate Research Fellowship (SURF) Symposium

Foodborne illnesses are a prominent issue, causing 48 million illnesses annually. The Escherichia coli O157:H7 outbreak in romaine lettuce is a recent example. The source of the pathogen was contaminated irrigation water. The most common methods for detecting foodborne pathogens involve cultivation and enrichment of food samples. The enrichment steps are time-consuming, taking 24 to 72 hours to complete. Our study aims to accelerate irrigation water sample preparation for pathogenic microorganism fast detection through cross-flow microfiltration. This is accomplished by a device called a continuous cell concentration and recovery device (C3D). The C3D uses cross-flow microfiltration in a hollow fiber …

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Remote Sensing Using I-Band And S-Band Signals Of Opportunity, Kadir Efecik, Benjamin R. Nold, James L. Garrison Aug 2018

Remote Sensing Using I-Band And S-Band Signals Of Opportunity, Kadir Efecik, Benjamin R. Nold, James L. Garrison

The Summer Undergraduate Research Fellowship (SURF) Symposium

Measurement of soil moisture, especially the root zone soil moisture, is important in agriculture, meteorology, and hydrology. Root zone soil moisture is concerned with the first meter down the soil. Active and passive remote sensing methods used today utilizing L-band(1-2GHz) are physically limited to a sensing depth of about 5 cm or less. To remotely sense the soil moisture in the deeper parts of the soil, the frequency should be lowered. Lower frequencies cannot be used in active spaceborne instruments because of their need for larger antennas, radio frequency interference (RFI), and frequency spectrum allocations. Ground-based passive remote sensing using …

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Validation Of Wrinkling-To-Delamination Adhesion Measurement Technique, Allison Chau, Hyeyoung Son, Chelsea S. Davis Aug 2018

Validation Of Wrinkling-To-Delamination Adhesion Measurement Technique, Allison Chau, Hyeyoung Son, Chelsea S. Davis

The Summer Undergraduate Research Fellowship (SURF) Symposium

Polymer thin films have a wide range of applications that span several different industries. Their optical clarity as well as their mechanical rigidness result in their versatile use in applications such as contact lenses, wearable sensors, and flexible electronics. These applications require precise adhesion, so the need for a simple, quantitative adhesion measurement technique is critical. Several methods have already been developed that quantify the adhesion of flexible thin films attached to rigid substrates. However, when the thin films are rigid and the substrates compliant, these methods are insufficient. In the authors’ previous work, an adhesion measurement technique was developed …

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Investigating Dataset Distinctiveness, Andrew Ulmer, Kent W. Gauen, Yung-Hsiang Lu, Zohar R. Kapach, Daniel P. Merrick Aug 2018

Investigating Dataset Distinctiveness, Andrew Ulmer, Kent W. Gauen, Yung-Hsiang Lu, Zohar R. Kapach, Daniel P. Merrick

The Summer Undergraduate Research Fellowship (SURF) Symposium

Just as a human might struggle to interpret another human’s handwriting, a computer vision program might fail when asked to perform one task in two different domains. To be more specific, visualize a self-driving car as a human driver who had only ever driven on clear, sunny days, during daylight hours. This driver – the self-driving car – would inevitably face a significant challenge when asked to drive when it is violently raining or foggy during the night, putting the safety of its passengers in danger. An extensive understanding of the data we use to teach computer vision models – …

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Determining The Optimal Traffic Opening Time Using Piezoelectric Sensors, Adlan Amran, Yen-Fang Su, Na Lu Aug 2018

Determining The Optimal Traffic Opening Time Using Piezoelectric Sensors, Adlan Amran, Yen-Fang Su, Na Lu

The Summer Undergraduate Research Fellowship (SURF) Symposium

The Indiana Department of Transportation (INDOT) requires a reliable method of determining the early age quality of concrete to improve traffic opening time. We propose to develop an in-situ method that enables an accurate, efficient, and non-destructive health monitoring of concrete using the electromechanical impedance (EMI) technique coupled with a piezoelectric sensor named Lead Zirconate Titanate (PZT). The test was conducted by mounting a PZT sensor on mortar samples. The PZT sensor was then excited by a voltage to track the strengthening of samples. The data obtained from the EMI technique was refined using the Root Mean Square Deviation (RMSD) …

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Micro-Manipulation Using Learned Model, Matthew A. Lyng, Benjamin V. Johnson, David J. Cappelleri Aug 2018

Micro-Manipulation Using Learned Model, Matthew A. Lyng, Benjamin V. Johnson, David J. Cappelleri

The Summer Undergraduate Research Fellowship (SURF) Symposium

Microscale devices can be found in applications ranging from sensors to structural components. The dominance of surface forces at the microscale hinders the assembly processes through nonlinear interactions that are difficult to model for automation, limiting designs of microsystems to primarily monolithic structures. Methods for modeling surface forces must be presented for viable manufacturing of devices consisting of multiple microparts. This paper proposes the implementation of supervised machine learning models to aid in automated micromanipulation tasks for advanced manufacturing applications. The developed models use sets of training data to implicitly model surface interactions and predict end-effector placement and paths that …

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Identification Of Proximal And Isolated Aluminum Heteroatoms In Zeolites By Infrared Spectroscopy, Melanie A. Brunet Torres, Philip Kester, Rajamani Gounder Aug 2018

Identification Of Proximal And Isolated Aluminum Heteroatoms In Zeolites By Infrared Spectroscopy, Melanie A. Brunet Torres, Philip Kester, Rajamani Gounder

The Summer Undergraduate Research Fellowship (SURF) Symposium

High demand for energy production and limited fossil fuel reserves are two factors that motivate intense research for new alternative energy resources. While we are still far from completely moving to renewable energy solutions, a new solution that replaces crude oil and coal with shale gas is currently under investigation. For this modern technology, new zeolite catalysts need to be developed for the conversion of light hydrocarbons gases to liquid transportation fuels. These catalysts are of special interest in the production of liquid fuels since they exhibit high reaction rates, molecular sieving properties and selectivity behavior. In this work, the …

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Platinum-Gallium (Pt-Ga) Intermetallic Alloys For Propane Dehydrogenation, Brittany K. Roopnarine, Nicole J. Libretto, Johnny Zhuchen, Zhenwei Wu, Evan Wegener, Griffin Canning, Abhaya K. Datye, Jeffrey T. Miller Aug 2018

Platinum-Gallium (Pt-Ga) Intermetallic Alloys For Propane Dehydrogenation, Brittany K. Roopnarine, Nicole J. Libretto, Johnny Zhuchen, Zhenwei Wu, Evan Wegener, Griffin Canning, Abhaya K. Datye, Jeffrey T. Miller

The Summer Undergraduate Research Fellowship (SURF) Symposium

Natural gas is a source of energy for the United States. The Center for Innovative Strategic Transformation of Alkane Resources (CISTAR) plans to use shale gas extracted from shale rock formations as a bridge fuel to replace coal and oil while the US transitions to renewable energy like solar and wind. After methane, the largest components in shale gas are light alkanes such as ethane and propane. These can be catalytically converted to olefins, which can be further reacted to produce fuels, for example. Olefins from alkanes can be accomplished by dehydrogenation by promoted platinum alloys. This study compares the …

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Experimental Validation Of A Numerical Phase Change Model For Microchannel Slug Flow Boiling, Christian J. Retter, Todd A. Kingston, Justin A. Weibel, Suresh V. Garimella Aug 2018

Experimental Validation Of A Numerical Phase Change Model For Microchannel Slug Flow Boiling, Christian J. Retter, Todd A. Kingston, Justin A. Weibel, Suresh V. Garimella

The Summer Undergraduate Research Fellowship (SURF) Symposium

Thermal management of high-power electronic devices continues to be a critical challenge. Flow boiling in microchannel heat sinks has been demonstrated to be an effective method for removing high heat fluxes from these devices owing to utilization of the latent heat of the fluid and the large surface area enhancement for heat exchange. However, microchannel flow boiling technologies have yet to be broadly implemented due to a lack of experimentally validated prediction and design tools. The goal of this study is to use high-fidelity experimental data to validate a previously developed numerical phase change model, to help enable physics-based prediction …

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Investigation Of The Effects Of Solid-State Treatments On The Structure And Mobility Of Copper In Zeolites, Jiayang Wu, Laura Wilcox, Rajamani Gounder Aug 2018

Investigation Of The Effects Of Solid-State Treatments On The Structure And Mobility Of Copper In Zeolites, Jiayang Wu, Laura Wilcox, Rajamani Gounder

The Summer Undergraduate Research Fellowship (SURF) Symposium

Zeolites are microporous, aluminosilicate catalysts that play an important role in industrial applications as well as studies for the fundamental understanding of catalysts for emerging reactions of interest. The introduction of aluminum into the zeolite lattice introduces a negative charge on the framework that can be balanced with extra-framework cations. The control of the aluminum distribution and the choice of charge balancing cations allows for the ability to tailor the active sites to facilitate a desired reaction. This research focuses on studying copper active sites in zeolites. Copper oxide was used as a copper precursor to introduce copper ions in …

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Predicting And Optimizing Solar Cell Performance With Material/Surface Characteristics, Yiheng Zhu, Allison Perna, Peter Bermel Aug 2018

Predicting And Optimizing Solar Cell Performance With Material/Surface Characteristics, Yiheng Zhu, Allison Perna, Peter Bermel

The Summer Undergraduate Research Fellowship (SURF) Symposium

Renewable energy sources have begun replacing fossil fuels at the utility scale. In particular, photovoltaics has grown rapidly in recent years. To further improve solar technology in terms of cost and efficiency and promote adoption, researchers often seek material and device level advancements. Photovoltaic simulation tools can be utilized to predict device performance before fabrication and experimentation, streamline research processes, and interpret experimental results. Therefore, we developed ContourPV, which simulates various combinations of values of different device characteristics to optimize and predict photovoltaic performance. ContourPV sweeps the inputted range of values for each chosen device or layer characteristic and obtains …

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Spatial And Temporal Storm Generation From A Stochastic View, Jiaxiang Ding, Josept D. Revuelta-Acosta, Engel Bernard Aug 2018

Spatial And Temporal Storm Generation From A Stochastic View, Jiaxiang Ding, Josept D. Revuelta-Acosta, Engel Bernard

The Summer Undergraduate Research Fellowship (SURF) Symposium

Precipitation is one of the most important parameters in the study of hydrology and most of the research has been done on daily storm generation. Current weather generation models are used to replicate daily or monthly time resolution, which is not able to show the variability within one day or one month. This project deals with sub-daily storm generation with finer resolution and more accurate estimation, which also requires an independent storm separation method. And the Monte Carlo correlated multivariate simulation is applied to compute the variables. The description is essential for soil erosion and water quality research. Another reason …

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Incorporating Collisions And Resistance Into The Transition From Field Emission To The Space Charge Regime, Samuel D. Dynako, Adam M. Darr, Allen L. Garner Aug 2018

Incorporating Collisions And Resistance Into The Transition From Field Emission To The Space Charge Regime, Samuel D. Dynako, Adam M. Darr, Allen L. Garner

The Summer Undergraduate Research Fellowship (SURF) Symposium

Advancements in microelectromechanical systems (MEMS) and microplasmas, particularly with respect to applications in combustion and biotechnology, motivate studies into microscale gas breakdown to enable safe system design and implementation. Breakdown at microscale deviates from that predicted by Paschen’s law due to field emission—the stripping of electrons from the cathode in the presence of strong surface field—and follows the Fowler-Nordheim (FN) law. As injected current increases at this length scale, electrons accumulate in the gap and FN electron emission becomes space charge limited, leading to the Child-Langmuir (CL) law at vacuum and the Mott-Gurney (MG) law at high pressure. While theoretical …

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Real-Time Non-Contact Road Defect Detection Using Inexpensive Sensors, Zhao Xing Lim, Mohammad Jahanshahi, Tarutal Ghosh Mondal, Da Cheng, Shutao Wang, Mohammad K. Sweidan, Aanis Ahmad, Omar Hesham Abouhussein, Xi Chen Aug 2018

Real-Time Non-Contact Road Defect Detection Using Inexpensive Sensors, Zhao Xing Lim, Mohammad Jahanshahi, Tarutal Ghosh Mondal, Da Cheng, Shutao Wang, Mohammad K. Sweidan, Aanis Ahmad, Omar Hesham Abouhussein, Xi Chen

The Summer Undergraduate Research Fellowship (SURF) Symposium

Road defects such as potholes, humps, and road cracks have become one of the main concerns for road and traffic safety worldwide. Pavement defect detection is crucial to ensure road safety. However, current solutions to this problem are either too time-consuming or too expensive to be employed large-scale. We propose a novel approach which has the ability to autonomously detect potholes in real-time using cost-effective sensors. Inexpensive sensors are mounted on a vehicle and a deep learning algorithm is used to identify road defects. The detection system is paired with a GPS and positional sensors to map the location of …

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Purdue Air Sense: A Methodology For Improving The Accuracy Of Ambient Aerosol Mass Concentration And Size Distribution Measurement With Low-Cost Optical Sensing Techniques, Rishabh Ramsisaria, Satya Sundar Patra, Brandon Emil Boor Aug 2018

Purdue Air Sense: A Methodology For Improving The Accuracy Of Ambient Aerosol Mass Concentration And Size Distribution Measurement With Low-Cost Optical Sensing Techniques, Rishabh Ramsisaria, Satya Sundar Patra, Brandon Emil Boor

The Summer Undergraduate Research Fellowship (SURF) Symposium

There is a global lack of a means for monitoring air pollutant levels at a local level due to expensive and bulky instrument requirements. It is important to monitor toxic gas levels, as well as particulate matter levels, in the atmosphere to study their effects on human health and to further develop city- and community-level air pollution solutions. In this study, with the means of a Raspberry Pi, low-cost Alphasense Optical Particle Counter and gas sensors, and methodical calibration techniques, we built a portable 3-D printed module powered by clean electricity generated by an on-board Voltaic solar cell that measures …

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Experimental Evaluation Of A Krypton Propellant Arrangement In A T-100-3 Hall-Effect Thruster, Adam Patel, Javier Cortina Fernandez, Justin Chow, Osvaldo Alejandro Martin, Alexey Shashurin Aug 2018

Experimental Evaluation Of A Krypton Propellant Arrangement In A T-100-3 Hall-Effect Thruster, Adam Patel, Javier Cortina Fernandez, Justin Chow, Osvaldo Alejandro Martin, Alexey Shashurin

The Summer Undergraduate Research Fellowship (SURF) Symposium

Stationary Hall thrusters are electric, moderate-specific impulse propulsion systems developed in Russia. These devices manipulate electric and magnetic fields to expel ionized gas (plasma) components, resulting in thrust. The success of Hall-effect engines in USSR satellite-transfer missions quickly sparked western interest in the design. Extensive government and academic study commenced shortly after the dissolution of the Soviet Union, when the technology was made available to the United States. The common SPT-100 model was the primary subject of such studies. Unfortunately, limited literature exists for rare and uncommon Hall thruster models. The T-100-3 stationary plasma thruster suffers from this gap; few …

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Image Analysis Of A Vesicle To Calculate The Bending Modulus, Pheobe Appel, Charlie Lin, Vivek Narsimhan Aug 2018

Image Analysis Of A Vesicle To Calculate The Bending Modulus, Pheobe Appel, Charlie Lin, Vivek Narsimhan

The Summer Undergraduate Research Fellowship (SURF) Symposium

The cell membrane is an essential component of living cells and the dynamics of the membrane will provide insight into how a biological cell reacts to mechanical strain. Membrane mechanics are important in a variety of cellular processes like secretion, trafficking, signaling, and storage. Giant unilamellar vesicles are a model system for cellular membranes since the major component of all membranes is a phospholipid bilayer. Giant unilamellar vesicles allow one to examine physicochemical processes that occur in all cellular membranes, such as fusion, budding, and fission in a more controlled fashion. Contour fluctuations of the vesicles are analyzed to calculate …

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Waste Heat Recovery From A Vented Electric Clothes Dryer Utilizing A Finned-Tube Heat Exchanger, Abdul Raheem A. Shaik, Stephen L. Caskey, Eckhard A. Groll Aug 2018

Waste Heat Recovery From A Vented Electric Clothes Dryer Utilizing A Finned-Tube Heat Exchanger, Abdul Raheem A. Shaik, Stephen L. Caskey, Eckhard A. Groll

The Summer Undergraduate Research Fellowship (SURF) Symposium

Conventional residential clothes dryers continuously vent moist, hot air during the drying process. The vented air leaves the home but still has useful temperature and humidity that could be recovered to offset other heating demands in the home. A study is carried out to quantify the amount of heat extracted from the waste heat stream of a conventional, vented clothes dryer. To extract the heat, a water cooled, fin-and-tube heat exchanger is located within the exhaust duct. A steady state thermodynamic dry coil and wet coil model was built in Engineering Equation Solver (EES). The model accounts for the heat …

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Predict The Failure Of Hydraulic Pumps By Different Machine Learning Algorithms, Yifei Zhou, Monika Ivantysynova, Nathan Keller Aug 2018

Predict The Failure Of Hydraulic Pumps By Different Machine Learning Algorithms, Yifei Zhou, Monika Ivantysynova, Nathan Keller

The Summer Undergraduate Research Fellowship (SURF) Symposium

Pump failure is a general concerned problem in the hydraulic field. Once happening, it will cause a huge property loss and even the life loss. The common methods to prevent the occurrence of pump failure is by preventative maintenance and breakdown maintenance, however, both of them have significant drawbacks. This research focuses on the axial piston pump and provides a new solution by the prognostic of pump failure using the classification of machine learning. Different kinds of sensors (temperature, acceleration and etc.) were installed into a good condition pump and three different kinds of damaged pumps to measure 10 of …

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Sort Vs. Hash Join On Knights Landing Architecture, Victor L. Pan, Felix Lin Aug 2018

Sort Vs. Hash Join On Knights Landing Architecture, Victor L. Pan, Felix Lin

The Summer Undergraduate Research Fellowship (SURF) Symposium

With the increasing amount of information stored, there is a need for efficient database algorithms. One of the most important database operations is “join”. This involves combining columns from two tables and grouping common values in the same row in order to minimize redundant data. The two main algorithms used are hash join and sort merge join. Hash join builds a hash table to allow for faster searching. Sort merge join first sorts the two tables to make it more efficient when comparing values. There has been a lot of debate over which approach is superior. At first, hash join …

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Building Modern Cloud Accessible Tools For Materials Simulations, Nicholas J. Finan, Saaketh Desai, Samuel Reeve, Alejandro Strachan Aug 2018

Building Modern Cloud Accessible Tools For Materials Simulations, Nicholas J. Finan, Saaketh Desai, Samuel Reeve, Alejandro Strachan

The Summer Undergraduate Research Fellowship (SURF) Symposium

In recent years, commercial computer systems have grown more user friendly, allowing for new users to quickly and easily make contributions. Unfortunately, this trend is not as apparent in the field of computational materials simulations. The tools used by researchers in this field have remained just as esoteric as the systems of the past. While the methods used in materials simulations continue to grow in complexity and accuracy, the user experience has been neglected entirely. This project aims to eliminate the need for hours spent adjusting file formats and searching for preexisting code, and instead allow researchers to focus on …

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Developing Strategies To Toughen Bio-Inspired Adhesives, Narelli P. Narciso, Samuel Lee Huntington, Jonathan J. Wilker Aug 2018

Developing Strategies To Toughen Bio-Inspired Adhesives, Narelli P. Narciso, Samuel Lee Huntington, Jonathan J. Wilker

The Summer Undergraduate Research Fellowship (SURF) Symposium

Mussels and other marine creatures adhere very well in underwater environments, having the ability to withstand the force of the sea. These animals have inspired synthetic biomimetic adhesives for wet systems, presenting potential for biomedical applications. However, most current commercial adhesives tend to be brittle, not resisting repetitive movements. This study assesses toughening strategies to improve the mussel-inspired adhesives’ ductility while maintaining its strength. The strategies included altering the polymer’s chemical structure by changing the percentage of polyethylene glycol (PEG) in the molecule and by adding fillers, such as calcium carbonate, silica and nacre - a calcium carbonate compound found …

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Thermophotovoltaic Devices: Combustion Chamber Optimization And Modelling To Maximize Fuel Efficiency, Arnold Chris Toppo, Ernesto Marinero, Zhaxylyk Kudyshev Aug 2018

Thermophotovoltaic Devices: Combustion Chamber Optimization And Modelling To Maximize Fuel Efficiency, Arnold Chris Toppo, Ernesto Marinero, Zhaxylyk Kudyshev

The Summer Undergraduate Research Fellowship (SURF) Symposium

Currently, 110 billion cubic meters of natural gas (primarily methane), a potent greenhouse gas, are flared off for environmental and safety reasons. This process results in enough fuel to provide the combined natural gas consumption of Germany and France. The research team developed a thermophotovoltaic device to convert thermal energy to electricity at a high efficiency using proprietary emitters and combustion system. With the current focus being fuel efficiency and the combustion process, the assembly was simulated using ANSYS Fluent modelling software and the following parameters were optimized: air/fuel ratios, flow rates, and inlet sizes. Simultaneously the heat transfer across …

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