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Cornhole, traditionally seen as tailgate entertainment, has rapidly risen in popularity since the launching of the American Cornhole League in 2016. However, it lacks robust quality control over large tournaments, since many of the matches are scored and refereed by the players themselves. In the past, there have been issues where entire competition brackets have had to be scrapped and replayed because scores were not handled correctly. The sport is in need of a supplementary scoring solution that can provide quality control and accuracy over large matches where there aren’t enough referees present to score games. Drawing from the ACL regulations as well as personal experience and testimony from ACL Pro players, a list of requirements was generated for a potential automatic scoring system. Then, a market analysis of existing scoring solutions was done, and it found that there are no solutions on the market that can automatically score a cornhole game. Using the problem requirements and previous attempts to solve the scoring problem, a list of concepts was generated and evaluated against each other to determine which scoring system design should be developed. After determining that the chosen concept was the best way to approach the problem, the problem requirements and cornhole rules were further refined into a set of physical assumptions and constraints about the game itself. This informed the choice, structure, and implementation of the algorithms that score the bags. The prototype concept was tested on their own, and areas of improvement were found. Lastly, based on the results of the tests and what was learned from the engineering process, a roadmap was set out for the future development of the automatic scoring system into a full, market-ready product.
Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange to determine a person’s heart conditions. This creates issues in fast paced scenarios such as when a patient is experiencing a heart attack and needs an EKG stat. Additionally, the current technology can be somewhat unreliable at determining heart conditions, causing providers to request multiple EKG’s for patients. With our improved versatile EKG, we can help solve these issues and implement additional outpatient use with its portable features. This can be done by remotely monitoring heart conditions during activities such as exercise, sleep, or stressful events, without worrying about wire disturbance.
Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange to determine a person’s heart conditions. This creates issues in fast paced scenarios such as when a patient is experiencing a heart attack and needs an EKG stat. Additionally, the current technology can be somewhat unreliable at determining heart conditions, causing providers to request multiple EKG’s for patients. With our improved versatile EKG, we can help solve these issues and implement additional outpatient use with its portable features. This can be done by remotely monitoring heart conditions during activities such as exercise, sleep, or stressful events, without worrying about wire disturbance.
Motorcycles must be designed for safety and long operation. Front suspension systems must in turn be safe and able to operate for long service lives. Challenges to achieving safe and long service lifetimes include designing components (rims, axles, forks, etc.) to withstand various loading conditions not just once but numerous times as a matter of fatigue life. An already developed CAD model of a motorcycle suspension was taken and optimized for various loading conditions. These conditions included static loading, braking, cornering, and wheelie and front impact loads. In all cases, front impact load was the critical loading condition when FEA in SolidWorks Simulation was conducted for the components. All components were then optimized to handle the impact load by changing geometry until safety factors of 4.0 ± 0.25 were achieved. Components were then analyzed for fatigue life, with all steel and magnesium components having infinite predicted fatigue lives and all aluminum components having fatigue lives predicted with corrected S-N curves created for up to 500 million loading cycles. The design was optimized with all components becoming improved for stress compliance, with room for improvement existing in both defining loads for analysis and developing more accurate and rigorous fatigue life models.
Over the years, American manufacturing has been offshored due to the competitive labor conditions in other countries. In addition, the COVID-19 pandemic exposed the fragility of the international supply chain, highlighting the importance of reshoring manufacturing and industry. However, reshoring alone cannot solve the underlying issues that caused offshoring in the first place, such as shortages of skilled labor and extensive regulation. To address these issues, the implementation and scaling of automation and Industry 4.0 technologies are necessary. The aerospace industry is a prime example of the need for skilled labor. Abiding by rigorous specifications and achieving the tight tolerances required by aerospace specifications is a highly specialized skill that requires experience and training. The shortage of skilled labor puts those working in aerospace at a disadvantage, often leading to long strenuous work hours to meet demand. To address this, a collaboration with two ASU manufacturing student research teams aided the development of two co-bot solutions that can work alongside technicians and operators to reduce downtime, increase efficiency, and free up human operators to focus on more complex tasks. While many automated solutions are available on the market, co-bots are not often used to their full capability. The proposed solutions demonstrate the possibilities of implementing co-bots in the aerospace industry by using them in machine tending and blending processes for aerospace parts. In traditional manufacturing processes, human operators are still responsible for performing repetitive and often mundane tasks, such as loading and removing workpieces from a CNC workstation and starting a CNC machine for repetitive parts. The current blending process requires a technician to manually sand damaged areas for Depot, Repair, and Overhaul (DRO), which is time-consuming and strenuous. By using a co-bot for this process, the technician's workload is significantly reduced, decreasing lead times and increasing quality control. Inspiration for this thesis came from observing the demands of companies like SpaceX, which require mass manufacturing of rocket engines to meet testing and launch schedules. The SpaceX Raptor engine is a complex, precise system that is aimed at being produced in high volume, which is a prime target for co-bot integration to help meet production targets. Implementing more co-bots into manufacturing has been shown to increase efficiency, reduce cost, and relieve stress on human operators. The integration of co-bots into the manufacturing process for the Raptor engine has the potential to improve efficiency and productivity, making high-volume manufacturing a possibility. Overall, the implementation of co-bots in the aerospace industry can offer a competitive advantage by increasing productivity and efficiency while reducing costs and relieving stress on human operators. This thesis provides proof of the possibilities of implementing co-bots in a versatile industry like aerospace and demonstrates the potential benefits of integrating co-bots into the manufacturing process for rocket engines like the Raptor. By doing so, the aerospace industry can move towards a more automated and efficient future, helping to address the challenges faced by American manufacturing today.