Exoskeletons are utilized in a variety of working situations to assist the body's muscular support system to help prevent injuries. Due to the current expense of exoskeleton technology costing around $4,000, the majority of labor workers who need it most do not have access [1]. A Do-It-Yourself Exoskeleton prototype has been developed to provide a less expensive option in the market for muscular exoskeletons. The market for test benches within the industry is weak due to various exoskeleton designs and testing needs.

Our project aims to develop an innovative carbon nanotube-based water desalination filter to address the growing global scarcity of freshwater. Collaborating with the Purdue Research Foundation, our goal is to create a sustainable, economical, and efficient solution that outperforms traditional desalination methods like reverse osmosis, which are costly and energy-intensive. We will focus on designing and testing filters that align and clean carbon nanotubes effectively, ensuring salt removal with minimal energy input and environmental impact.

The project is to design and build a workbench capable of cutting, milling, and tapping the ends of 80/20 aluminum workpieces. The design requirements specified that the saw should be able to rotate and cut at multiple angles. There must also be an easy measurement system for repeated operations at the same length. There must be a measurement device that can acurately measure a workpiece up to 0.01". All operations must be able to be accomplished on two different sizes of 80/20. There also must be a storage system for commonly used tools and fasteners.

Modify the existing Burling Valve to be compatible with superheated Steam.

Salk Institute’s research discovered that controlling the eating and sleeping cycles of fruit flies can reverse chronic diseases in flies. Salk requires an automated system to monitor flies throughout their lifespan while controlling the environment. Ultimately, biologists will apply the data provided by the data system to human studies to prevent or reverse metabolic or neurodegenerative diseases. The project is a continuing project from previous semesters and our biggest goal was to fix their problems from their final design.

Crown Equipment Corporation in Greencastle, Indiana needed an automated work cell capable of pressing and crimping bearings into an assembly to reduce the possibility of a workplace injury that the previous process presented.​ In the previous assembly process the operator pressed bearings into the upper tube of the steering column. However, the press that was being used for this operation was ineffective at pressing together the parts and was only used for the final crimping.

The project aims to address the challenge of remotely controlling robots within a production environment by integrating Vuzix AR glasses and GyroPalm Encore. The seamless connection between the GyroPalm watch and Vuzix glasses via Bluetooth Low Energy facilitates efficient operation.

As it stands in the metal casting field, humans are still used to manually spotting defects in parts on a line in order to tell when the dies for said parts are failing or starting to fail in some regard. This consumes lots of time and money as there are more employees that must be staffed and paid, along with the limitations of humans that can both miss defective parts and be slow in the analysis of them. Due to this, companies are paying more than they would need to be to watch for failing dies. Our project aims to save companies money by eliminating this need and automating the process.

There are two main issues from which this project originated. Currently, there is no way to do the following in space:

1. Continuously simulate Earth gravity (or more).

2. Effectively separate mixed-matrix materials.

In John Deere Harvester Works, lots of manufacturing is taking place using hoists. These hoists are a crucial part of many of the processes. With these pieces being so important, maintenance and down time for the hoists is crucial. For this reason, the plant needs to be preventative instead of reactive when fixing the hoists. To accomplish this, we will use wireless technology to read and accurately predict when any given hoist is in need of maintenance, which will reduce downtime and increase overall production efficiency in the plant