What It Takes To Fly: Exploring The Effect Of Variant Propeller Pitches And Lengths On The Efficiency Of Propeller-Powered Hover Boards

This paper details the modeling of a propeller-powered hover board and provides an investigation into how the pitch and diameter of the propellers impacts the efficiency of the device. Hover boards are a potentially valuable technology, and the most accessible means of producing lift on hover boards is with propellers. It is important to understand how the pitch and diameter of a propeller impact the amount of weight a hover board can lift, but due to the overwhelming range of propellers that exist, it is difficult to choose the most efficient variation. Thus, we determine a propeller’s maximum upward force at a given current and the effect of pitch and diameter on its performance to ultimately forward the development of this technology. A testing apparatus was constructed to investigate each propeller and measure both the maximum mass the propeller could lift, as well as the current that was drawn at this maximum point. Our results found that the propellers with a greater pitch were more efficient when their diameter was greater and the propellers with a smaller pitch were more efficient when their diameter was smaller. Through extrapolating using the trend line, it is possible to calculate how many 3.8-pitch or 6-pitch propellers of any diameter would be needed to lift a human being. Through these equations, if the diameter of a 3.8-inch pitch or 6-inch pitch propeller is known, then the maximum lift and the current drawn to achieve said lift can be found. Future investigation into these trends over a greater range of propeller diameters and pitches is recommended in order to gather more conclusive results. Cet article discute de la modélisation d’un aéroglisseur propulsé par une hélice, et fournit une enquête de l’effet du pas et du diamètre des hélices sur l’efficacité de l’appareil. Les aéroglisseurs sont une technologie potentiellement valable, et la façon la plus accessible à produire de la portance sur les aéroglisseurs est l’utilisation d’hélices. Il est important de comprendre l’impact du pas et du diamètre sur la quantité de poids que l’aéroglisseur peut soulever, mais à cause de la gamme écrasante d’hélices qui existe, il est difficile de choisir la variation la plus efficace. Donc, une expérience fut créée pour déterminer la portance maximale d’une hélice avec un certain courant et l’effet du pas et du diamètre sur sa performance, menant en fin de compte au progrès dans le développement de cette technologie. Un model d’expérimentation a été construit pour évaluer chaque hélice et mesurer le poids maximale qu’il peut supporter, ainsi que le courant maximale à ce point. Nos résultats montrent que les hélices avec un pas plus grand étaient plus efficaces lorsque leur diamètre était plus grand, alors que les hélices avec un pas plus petit étaient plus efficaces lorsque leur diamètre était plus petit. En extrapolant les données en utilisant la ligne de tendance, il est possible de déterminer combien d’hélices d’un pas de 3,8 pouces ou de 6 pouces, de n’importe quel diamètre, seraient requises pour soulever un être humain. Avec ces calculs, si le diamètre d’une hélice d’un pas de 3,8 pouces ou d’une hélice d’un pas de 6 pouces est connu, la portance maximale et le courant requis pour atteindre cette portée peuvent être déterminés. Une investigation future dans ces tendances à travers une gamme plus large de diamètres et de pas d’hélices est recommandée afin de recueillir des résultats plus concluants.

What it Takes To Get Off The Ground

This coop experience has opened my eyes to the role that scientic research plays in the development of new inventions and technology. I have learned that in order to ensure your idea will work, you have to first test the science on a smaller scale (especially if you are new to the nature of the science you plan to explore). I went into this program intending to build a hover board, but I quickly realized that I was entering a foreign field of engineering and I had oversimplied the development process.

Discovering health disparities: Designing a secure multiparty architecture for social health research

Social determinants such as a person’s race, level of education, and income can be responsible for their health outcomes. Consequently, we see that discrimination along the social spectrum results in health disparities. In an effort to close the gaps in healthcare systems, these determinants have been heavily researched. Open questions remain regarding their underlying mechanisms, which can potentially be answered by combining government data from social sectors with healthcare data. Under modern data legislation, such as the General Data Protection Regulation in the European Union, it is challenging to combine these government datasets for such research purposes. Multiparty computation (MPC), a cryptographic technique that allows for two or more parties to securely compute a function over data, opens the door for siloed government datasets to be combined and analyzed in a manner compliant with data legislation. This paper presents survey data from experts that supports the feasibility of using MPC to securely investigate the social determinants of health, as well as a potential architecture based on additive secret sharing that could be utilized by governments to investigate these determinants. This is the first formal research into this application of MPC and it aims to evaluate how new developments in cryptography can be leveraged to advance health equity and bring justice to those systemically discriminated against.CSE3000 Research ProjectComputer Science and Engineerin