Our team created plans to reduce spill risk at the John Deere Harvester works facility by eliminating unnecessary piping and adapting infrastructure to operate with the proposed changes.

With the availability of fresh water becoming more and more scarce, there is a growing need for a water source solution. One that can be replicated worldwide and is cost-effective enough that people from all levels of income can afford it. The use of this technology would have humanitarian impacts well beyond anything that can be expected from current water treatment processes. The treatment of ocean water currently is extremely pricey as well as not readily available for use worldwide.

The goal of the project is to maximize light transmission using 3D printed materials. Our team aims to direct light from the sun using a geometric model with a larger effective area onto an array of LEDs, with a smaller effective area. We created a 3D-printed models that transfer light through filament strands onto a select location. This project is being conducted to create a better alternative to solar panels. Solar panels were created to turn light into usable energy, but they reflect about 10% and can only convert 15% to 20% of that into electricity.

As the more experienced die manufacturing technicians begin to retire, there needs to be an efficient and effective way to pass their knowledge onto the next generation of technicians. The end goal is to rework the current learning system to be more accessible, and comprehensible. In addition to this, research must be done to determine what other types of technology can be used to enhance the deployment of this learning experience. By solving this problem, Small Parts Inc. will have a highly experienced die technician, and an easier way to transfer this knowledge throughout the company.

Implementing low power and reliable methods of detecting users as they approach presents many factors to account for. We will need to adjust the light intensity of the keypad based off ambient light and track accurate sensor(s) readings to distinguish between a user and “ false detections”. Objects passing by must not alert the system that a user is approaching. Asthis is poised to be used on security applications, a serial prompt alerting the user will also be generated for homeowners to review.

Our team aims to bridge the existing instructional tools and pneumatics technology. Our proposed instructional system helps students understand industry-standard pneumatic systems and Proportion-Air components. We have added modules to an existing device for Proportion-Air's engineer and sales training. With our system we can control power output, rotary pneumatic actuator speed, and vacuum systems to demonstrate system power control, cutting speed, and suction cups.

This project implements a Spiking Neural Network controller on a Field Programmable Gate Array (FPGA) to control an autonomous vehicle which follows a guidance line while avoiding obstacles in front of it. The purpose of this project would be to implement the controls of the vehicle with a more natural logic system formed by patterns and associated weights. The result of this project will be twofold. The research provided by this project could further develop hardware implementations of natural logic systems in other research or scalable applications.