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.

The inception of the human-powered water pump began during my trip to Maasailand in Kenya over the Summer of 2017. Being one of the few Broadening the Reach of Engineering through Community Engagement (BRECE) Scholars at Arizona State University, I was given the opportunity to join Prescott College (PC) on their annual trip to the Maasai Education, Research, and Conservation (MERC) Institute in rural Kenya. The ASU BRECE scholars that choose to travel were asked to collaborate with the local Maasai community to help develop functional and sustainable engineering solutions to problems identified alongside community members using rudimentary technology and tools that were available in this resource-constrained setting. This initiative evolved into multiple projects from the installation of GravityLights (a local invention that powers LEDs with falling sandbags), the construction/installation of smokeless stoves, and development of a much-needed solution to move water from the rainwater collection tanks around camp to other locations. This last project listed was prototyped once in camp, and this report details subsequent iterations of this human-powered pump.

As robotics technology advances, robots are being created for use in situations where they collaborate with humans on complex tasks.  For this to be safe and successful, it is important to understand what causes humans to trust robots more or less during a collaborative task.  This research project aims to investigate human-robot trust through a collaborative game of logic that can be played with a human and a robot together. This thesis details the development of a game of logic that could be used for this purpose. The game of logic is based upon a popular game in AI research called ‘Wumpus World’. The original Wumpus World game was a low-interactivity game to be played by humans alone. In this project, the Wumpus World game is modified for a high degree of interactivity with a human player, while also allowing the game to be played simultaneously by an AI algorithm.

Adaptive expertise is a model of learning that posits two dimensions of development: efficiency and innovation. The mindset of an adaptive expert will serve any engineer by drawing upon diverse experiences to develop novel solutions to problems. Their mindset is based in lifelong learning, characterized by applying past experience to current design challenges. Solution design requires a process, and a breadth of experience is among the adaptive expert's greatest tools in identifying the approach to take in an unfamiliar situation. The fluidity and agility of their mind allows them to work effectively throughout their career in technical design, as the situation of an engineer's design work can vary drastically over the course of time. This paper describes a study on an innovative junior-level electrical and robotic systems project course taught at a large southwestern university that encourages students to develop adaptive expertise in the context of real-world design projects. By fabricating prototypes, students learn strategies for troubleshooting and technical design, and iterations of the part demand reflection on previous design thinking. This study seeks to answer the following research questions: (1) How does user-centered design stimulate abstractive design thinking? (2) How does fabrication of prototypes stimulate active design thinking? And (3) How is the classroom culture enabling engineering design in the optimal adaptability corridor? Critical incident interviews were conducted with stakeholders in the course, and a thematic analysis of the transcripts conducted. Results show that this project-based curriculum fosters adaptive expertise by stimulating both abstractive and active design thinking. This provides a framework for practicing adaptive design thinking in classrooms. Disseminating these findings to curriculum designers will encourage more engaging, effective classes that graduate adaptive experts.

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.

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.

After visiting Nepal and seeing the problem of potable drinking water, there needed to be a solution to purify it. Simultaneously, local national forests have been overrun with two invasive plant species: Mikania micrantha and Lantana camara. Both a very fast-growing species and can be turned into biochar. If the resulting is made through an effective process, then the community would be able to work less making each batch of biochar and make more money per batch, whereby the market already exists. The community could grow their profits even further by activating the created charcoal, which fetches an even better price. Most Importantly, among other important uses, the activated charcoal could also be used in clean drinking water systems. The prospect of using activated charcoal as water purifying agents can be tested in a future design of experiments. This design of experiments would assess the effectiveness of the activated charcoal, to determine which pore size is the most cost effective at filtering out pollutants. This thesis focuses on researching different types of biochar kilns, clean drinking water systems, and the use of charcoal in clean drinking water systems.

Bifacial photovoltaic modules are a relatively new development in the photovoltaic industry which allows for the collection and conversion of light on both sides of photovoltaic modules to usable electricity. Additional energy yield from bifacial photovoltaic modules, despite a slight increase in cost due to manufacturing processes of the bifacial cells, has the potential to significantly decrease the LCOE of photovoltaic installation. The performance of bifacial modules is dependent on three major factors: incident irradiation on the front side of the module, reflected irradiation on the back side of the module, and the module's bifaciality. Bifaciality is an inherent property of the photovoltaic cells and is determined by the performance of the front and rear side of the module when tested at STC. The reflected light on the back side of the module, however, is determined by several different factors including the incident ground irradiance, shading from the modules and racking system, height of the module installation, and ground albedo. Typical ground surfaces have a low albedo, which means that the magnitude of reflected light is a low percentage of the incident irradiance. Non-uniformity of back-side irradiance can also reduce the power generation due to cell-to-cell mismatch losses. This study investigates the use of controlled back-side reflectors to improve the irradiance on the back side of loosely packed 48-cell bifacial modules and compares this performance to the performance of 48 and 60-cell bifacial modules which rely on the uncontrolled reflection off nearby ground surfaces. Different construction geometries and reflective coating materials were tested to determine optimal construction to improve the reflectivity and uniformity of reflection. Results of this study show a significant improvement of 10-14% total energy production from modules with reflectors when compared to the 48-cell module with an uncontrolled ground reflection.

Interplanetary space travel has seen a surge of interest in not only media but also within the academic field as well. No longer are we designing and investigating extravehicular activity (EVA) suits, scholars and researchers are also engineering the future suit to protect humans on the surfaces of Martian planets. As we are progressing with technology capable of taking us even further distances than before imaginable, this thesis aims to produce an exosuit that will find a place between the planets and stars, by providing countermeasures to muscle and bone atrophy. This is achieved through the rapidly growing field of soft robotics and the technology within it. An analytical model governing torque production of an array of soft pneumatic actuators was created to provide resistive forces on the human joints. Thus, we can recreate and simulate a majority of the loads that would be experienced on earth, in microgravity. Where push-ups on earth require on average 30Nm of torque about the elbow joint, by donning this exosuit, the same forces can be experienced when pushing off of surfaces while navigating within the space capsule. It is ergonomic, low-cost, and most importantly lightweight. While weight is negligible in micro-G, the payloads required for transporting current exercising equipment are costly and would take up valuable cargo space that would otherwise be allocated to research related items or sustenance. Factor in the scaling of current "special space agent" missions times 20-50, and the problem is further exacerbated. Therefore, the proposed design has warranted potential for the short term need of Mars missions, and additionally satisfy the long-term goal of taking humanity to infinite and beyond.

In this article we present a low-cost force-sensing quadrupedal laminate robot platform. The robot has two degrees of freedom on each of four independent legs, allowing for a variety of motion trajectories to be created at each leg, thus creating a rich control space to explore on a relatively low-cost robot. This platform allows a user to research complex motion and gait analysis control questions, and use different concepts in computer science and control theory methods to permit it to walk. The motion trajectory of each leg has been modeled in Python. Critical design considerations are: the complexity of the laminate design, the rigidity of the materials of which the laminate is constructed, the accuracy of the transmission to control each leg, and the design of the force sensing legs.