Matching Items (131)
Description
This project is investigating the impact curvature, buckling, and anisotropy play when used passively to enhance jumping capability. In this paper we employ a curved structure to allow a rigid link to collapse preferentially in one direction when it encounters aerodynamic drag forces. A joint of this nature could be used for passively actuated jump gliding, where wings would collapse immediately on takeoff and passively redeploy during descent, allowing the jumping robot to extend its horizontal range via gliding. A passively actuated joint is simpler and more lightweight than active solutions, allowing for a lighter glider and higher jumps. To test this, several prototype collapsing gliding wings of different diameters were tested by dropping them from a consistent height above the ground and by launching them upwards and recording their initial velocity. A model was constructed in Python using the data gathered through the experiments and was tuned so that its outputs were as close as possible to the experimental results. As expected, increasing the wing diameter increased the total fall time, and increasing the payload mass decreased the total fall time. Orientation of the wings around the vertical axis of the glider relative to the direction of horizontal motion was also found to have an effect on the length of time between when the gliding platform was launched and when it made contact with the ground, with a configuration where the axis between the wings was parallel to the direction of motion granting added stability.
ContributorsLighthouse, Guston Heqian (Author) / Aukes, Daniel (Thesis director) / Sodemann, Angela (Committee member) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The Internet of Things (IoT) is term used to refer to the billions of Internet connected, embedded devices that communicate with one another with the purpose of sharing data or performing actions. One of the core usages of the proverbial network is the ability for its devices and services to interact with one another to automate daily tasks and routines. For example, IoT devices are often used to automate tasks within the household, such as turning the lights on/off or starting the coffee pot. However, designing a modular system to create and schedule these routines is a difficult task.
Current IoT integration utilities attempt to help simplify this task, but most fail to satisfy one of the requirements many users want in such a system ‒ simplified integration with third party devices. This project seeks to solve this issue through the creation of an easily extendable, modular integrating utility. It is open-source and does not require the use of a cloud-based server, with users hosting the server themselves. With a server and data controller implemented in pure Python and a library for embedded ESP8266 microcontroller-powered devices, the solution seeks to satisfy both casual users as well as those interested in developing their own integrations.
Current IoT integration utilities attempt to help simplify this task, but most fail to satisfy one of the requirements many users want in such a system ‒ simplified integration with third party devices. This project seeks to solve this issue through the creation of an easily extendable, modular integrating utility. It is open-source and does not require the use of a cloud-based server, with users hosting the server themselves. With a server and data controller implemented in pure Python and a library for embedded ESP8266 microcontroller-powered devices, the solution seeks to satisfy both casual users as well as those interested in developing their own integrations.
ContributorsBeagle, Bryce Edward (Author) / Acuna, Ruben (Thesis director) / Jordan, Shawn (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The goal of our research was to develop and validate a method for predicting the mechanical behavior of Additively Manufactured multi-material honeycomb structures. Multiple approaches already exist in the field for modeling the behavior of cellular materials, including the bulk property assumption, homogenization and strut level characterization [1]. With the bulk property approach, the structure is assumed to behave according to what is known about the material in its bulk formulation, without regard to its geometry or scale. With the homogenization technique, the specimen that is being tested is treated as a solid material within the simulation environment even if the physical specimen is not. Then, reduced mechanical properties are assigned to the specimen to account for any voids that exist within the physical specimen. This approach to mechanical behavior prediction in cellular materials is shape dependent. In other words, the same model cannot be used from one specimen to the next if the cell shapes of those lattices differ in any way. When using the strut level characterization approach, a single strut (the connecting member between nodes constituting a cellular material) is isolated and tested. With this approach, there tends to be a significant deviation in the experimental data due to the small size of the isolated struts. Yet it has the advantage of not being shape sensitive, at least in principle. The method that we developed, and chose to test lies within the latter category, and is what we have coined as the Representative Lattice Element (RLE) Method. This method is modeled after the well-established Representative Volume Element (RVE) method [2]. We define the RLE as the smallest unit over which mechanical tests can be conducted that will provide results which are representative of the larger lattice structure. In other words, the theory is that a single member (or beam in this case) of a honeycomb structure can be taken, tests can be conducted on this member to determine the mechanical properties of the representative lattice element and the results will be representative of the mechanical behavior whole structure. To investigate this theory, we designed specimens, conducted various tensile and compression tests, analyzed the recorded data, conducted a micromechanics study, and performed structural simulation work using commercial Finite Element Analysis software.
ContributorsSalti, Ziyad Zuheir (Co-author) / Eppley, Trevor (Co-author) / Bhate, Dhruv (Thesis director) / Song, Kenan (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This thesis sought to better understand the process of creating biochar in kilns representative of those used in current biochar processes in Chitwan National Park, Nepal and surrounding areas. The project had two main objectives: First, design and build a scale kiln representative of those in Nepal. This will allow a multitude of future projects to have access to a well-built kiln in which to run experiments, probe conditions and overall understand the process of pyrolysis. After approval of the plan and construction the second phase of the project began. Second, using the scaled kiln, pyrolyze quantities of biomass and capture the temperature profiles as the burn is started through until it is completed. Using qualitative methods the biochar was then analyzed and this quality compared against the temperature profiles captured. Using these profiles it was hoped that a relationship between how the temperature profiles behave and the quality of the biochar can be produced. The maximum temperature was also be analyzed to find useful correlations to the behavior of the process within the kiln. The project did not find any useful correlation between the maximum temperatures, but it did find useful correlations between temperature profiles and the resulting biochar. A description of how to analyze biochar in the field was also established to help researchers and farmers rate biochar quality while in the field. The kiln itself is housed on the Polytechnic Campus of Arizona State University in the Global Resolve outside storage area at the time of writing.
ContributorsCluff, Dallin Michael (Author) / Henderson, Mark (Thesis director) / Roger, Brad (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Understanding the necessary skills required to work in an industry is a difficult task with many potential uses. By being able to predict the industry of a person based on their skills, professional social networks could make searching better with automated tagging, advertisers can target more carefully, and students can better find a career path that fits their skillset. The aim in this project is to apply deep learning to the world of professional networking. Deep Learning is a type of machine learning that has recently been making breakthroughs in the analysis of complex datasets that previously were not of much use. Initially the goal was to apply deep learning to the skills-to-company relationship, but a lack of quality data required a change to the skills-to-industry relationship. To accomplish the new goal, a database of LinkedIn profiles that are part of various industries was gathered and processed. From this dataset a model was created to take a list of skills and output an industry that people with those skills work in. Such a model has value in the insights that it forms allowing candidates to: determine what industry fits a skillset, identify key skills for industries, and locate which industries possible candidates may best fit in. Various models were trained and tested on a skill to industry dataset. The model was able to learn similarities between industries, and predict the most likely industries for each profiles skillset.
ContributorsAndrew, Benjamin (Co-author) / Thiel, Alex (Co-author) / Sodemann, Angela (Thesis director) / Sebold, Brent (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
This honors thesis project aims to design and develop the ideal design for a soft robotic grasper used in combination with a robotic supernumerary limb design for impaired individuals (i.e. a wearable robotic limb that branches out of the body), to help accomplish the tasks of daily living. Observations of current grasper solutions for similar applications has led to a design that incorporates a soft, pneumatically controlled grasper which integrates with the existing limb. Computational models of the grasper design have been created which demonstrate the grasping capabilities of this proposal. Initial prototypes of this grasper approach have been fabricated for testing and analyses purposes to build a foundation for future implementation.
ContributorsThalman, Carly Megan (Author) / Polygerinos, Panagiotis (Thesis director) / Lande, Micah (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Three dimensional printing is a growing field and an excellent medium for rapid prototyping. Its expansion has accelerated over recent years due to the increased affordability of the technology. It is now at the point where the startup cost to get into the field is down to the hobbyist price point. This means that there is an extremely high demand for affordable printing media. Current media such as ABS and PLA is extremely easy to form, but expensive and petroleum intensive to create. A recycling system that could work with a large variety of waste products could change the way that the maker community recycles. This Honors Thesis, or "Creative Project" will be centered on the product launch of small business 3DCycler. Although this launch will require pulling information and skills from various branches of both Business and Science, the scope of this project will be limited to specifically the market entrance of our small business/ product. Within this blanket goal, the project aims to define our target market/ its niche(s), develop proper IP/ lockout strategies, define future manufacturing strategies, and to fully define our beta product. The research was empirical in nature. Through data gathering techniques (e.g., consultations, interviews, survey), exploration was performed. Through these techniques the company 3DCycler took several calculated pivots in order to prepare the company for a strategic product launch and eventual acquisition.
ContributorsFarber-Schaefer, Blaine (Author) / Cho, Steve (Thesis director) / Goodman, Tom (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The purpose of the project is to study how the mechanical properties of cellular structures made by Fused Deposition Modeling (FDM) change depending on the number of unit cells and the cell geometry. Specimens with three geometries of regular hexagon, square, and equilateral triangle were produced by FDM. The number of cells was varied systematically in each of the three geometries. The samples were tested for compressive strength. The specimens were laser-scanned to determine the actual dimensions, and those values were used in calculations to reduce the dimensional errors. Based on the calculations and analysis, it was concluded that for each geometry, the material modulus converged to a limiting value as the number of unit cells approached "infinity", and the convergent values of the material modulus were approximately the same (within 10% of error) for the three geometries. The convergent values for the material modulus of the hexagon, square, and triangle geometries were 273ksi, 248ksi, and 262ksi respectively. The percentages of error of the square and triangle geometries with respect to the hexagon geometry were 4.0%, and 9.2%, respectively.
ContributorsLe, Thao Nguyen Minh (Author) / Parsey, John (Thesis director) / Bhate, Dhruv (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The purpose of this study was to compare and contrast gun legislation and gun violence in the United States against two international countries. The countries that were chosen were the United Kingdom and Switzerland. The goal was to use the existing gun control models from the two international countries to develop an opinion of what can be done differently in the United States to reduce gun-related crime rates on the home front. Analysis of crime rates between the three countries proved that the United States is the country with the highest gun crime incidence. Specifically, the United States has, on average, 35 times the number of gun-related deaths per 100,000 people per year as the United Kingdom, and 2 times more gun-related deaths per 100,000 people per year than Switzerland. It has been determined that both legislative and cultural related changes need to be implemented in the United States in order for violent crime rates related to guns to ever be reduced.
ContributorsMontoya, Emily Rae (Author) / Johnston, Coy (Thesis director) / DeCarolis, Claudine (Committee member) / Technological Entrepreneurship and Management (Contributor) / Engineering Programs (Contributor) / School of Criminology and Criminal Justice (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Many tasks that humans do from day to day are taken for granted in term of appreciating their true complexity. Humans are the only species on the planet that have developed such an in-depth means of auditory communication. Recreating the mechanisms in the brain that recognize speech patterns is no easy task. This paper compares and contrasts various algorithms used in modern day ASR systems, and focuses primarily on ASR systems in resource constrained environments. The Green colored blocks in Figure 1 will be focused on in greater detail throughout this paper, they are the key to building an exceptional ASR system. Deep Neural Networks (DNNs) are the clear and current leader among ASR technologies; all research in this field is currently revolving around this method. Although DNNs are very effective, many older methods of ASR are used often due to the complexities involved with DNNs; these difficulties include the large amount of hardware resources as well as development resources, such as engineers and money, required for this method.
ContributorsPetersen, Casey Alexander (Author) / Csavina, Kristine (Thesis director) / Pollat, Scott (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12