Design a prototype of the remote-controlled automated Transformer Bioreactor (TBR) based on the students' own designs of the efficient mechanical and electronic mechanisms needed while subject to the biological constraints of the cells to be grown in the TBR.

Background:
Approximately 2 million U.S. residents will develop excess fluid known as pleural effusions or ascites due to underlying terminal conditions. This excess fluid pushes on the internal organs making it difficult to breathe, eat, walk around, or conduct other normal daily activities. One treatment available is to have an Indwelling Pleural or Peritoneal Catheter implanted so that the patient can drain their excess fluid at home instead of having to go into the hospital. The patient uses bottles or bags to collect the fluid when their symptoms develop to collect and dispose of the excess fluid.

Project Scope:
Develop a functional prototype of an implantable smart medical drainage catheter that is able to:
1. Remove excess fluids from a bodily cavity and be collected into a sealed container to be disposed of safely (similar to existing drainage catheter devices on the market).
2. Automatically measure, record, and preferably wirelessly communicate the following parameters from the fluid in-line during removal:
- Total quantity of fluid drained over time
- Time and duration of drainage procedures
- Detection of clogs
- Biometric Measurements of Fluid: pH, oxygen, glucose, temperature

Retest existing garment prototypes (jacket, shirts, pants) with various metallic materials in them with different configurations. In addition, build and test helmet and backpack, using different materials and including nanotechnology. Graphene has come down in cost and is lightweight, and easy to incorporate in materials. We will need a mannequin, either the one we have or build a new one, that can measure voltage over chest wall/heart and skull area. We would also like to measure current and temperature. The mannequin and prototypes will then be tested at DNB engineering laboratories in Anaheim where they have a Marx Generator that can deliver 3 million volts. We will try and replicate lightning with direct and side splash voltage.

Website - http://www.zoltar.tech/

https://news.engineering.arizona.edu/news/staying-safe-when-lightning-strikes

https://icap.engineering.arizona.edu/news/2021/06/staying-safe-when-lightning-strikes

Aftermarket repair and overhaul of turbine engines is a vital and necessary service that ensures continued operation and reliability for the operators. Due to the harsh environment and extreme operating conditions, many turbine engine components need some degree of repair to restore the functionality of the part. One of the most common repairs utilizes welding, specifically weld build-up of the damaged area and then machining to restore dimensions. To perform this repair, the traditional process includes the following steps: (1) machine the damaged area away in preparation for weld, (2) manually weld the damaged area with sufficient metal, and (3) final machine the weld build-up to finish dimensions.
The University of Arizona has obtained a Meltio DED+CNC machine that is capable of both welding and machining in one machine cell. This project will explore the ability of the machine to perform the traditional repair steps outlined above – including automation of the weld repair and automation of the machining steps. The capstone group will focus their efforts on a turbine bearing housing – or a similar geometry – where the damaged half is cut away and then welded and machined back to intended dimensions

The objective of this project is to design a spin balance mechanism. The mass properties measurement system will be designed to accurately measure the center of gravity in each axis. In addition, the mechanism will measure the associated moments or inertia (MOIs) and products of inertia (POIs) in each axis through spin balance.

Rotating Detonation Engines (RDEs) are a new type of engine which supersonically combusts a combination of fuel and oxidizer. The result is up to 15% more fuel efficiency than conventional combustion, a huge improvement for Energy and aerospace industries. Until recently, RDEs have not operated for more than seconds. With an increase in duration comes the added challenge of heat management. Nobel is advancing their RDEs systems to effectively manage heat using in-situ resources (air, fuel .... and in land-based power systems: water). In addition to materials and geometry (including additive manufacturing), the project will implement best practices from both aerospace and energy to manage the heat output during RDE operation. (Note: Noble will ensure that this project does not include ITAR information)

o Live Demonstration of a Tunable Fabry-Perot Spectrometer shall be performed on design day
o Spectrometer shall have peak wavelength accuracy of 10nm or better across the visible spectrum
o Spectrometer shall operate over a 6 degree half field of view or greater
o Spectrometer shall maintain peak wavelength accuracy with a representative solar background at signal to noise ratios greater than 10
o Objective requirement: Housing for the Fabry-Perot cell shall be capable of holding tolerances required for spectral accuracy in space environments (thermal/vibe/shock)
o Live demonstration does not need to use space-qualified parts, but the components selected should have capability that is within specifications of representative space-qualified components

In this continuation project the team will be expected to advance this device from the current minimally featured first generation prototype to a fully functional and feature rich late generation prototype which is ready for commercialization. The anticipated improvements will include improved vehicle detection capabilities, GPS tracking, improved battery life, size reduction, theft protection, an app based graphical interface and adaptability to different handlebar configurations.

Autonomous tractors have recently become a reality through the advent of robotics technologies that enable autonomous driving and control. This serves as a potential game changer for addressing labor and sustainability issues in agriculture towards feeding a growing global population. However, unlike autonomous cars, tractors are not used for the sole purpose of transportation, but rather for performing an agricultural task (e.g. planting, harvesting, baling, tillage). Tractors serve as a universal power platform to pull different tools (called implements) to perform these tasks. Each of these tasks can required completing different operation from the tractor, making autonomous operation challenging as the function of the tractor needs to change based on what is connected to it. In order for the tractor to behave in the way that it should for a task, if first needs to recognize what job it needs to perform, the position of the tool for the task, and the operating state of the tool - each of these problems relate to awareness of the implement by the tractor.

The requirements of this project is to:
(1) determine the vision-based sensor suite (e.g. Lidar, 2d camera, 3D camera) that can be mounted to a tractor for implement detection,
(2) determine an embedded computing platform appropriate for the implement awareness problem that can be powered by a 12V vehicle system and operate in mobile machine conditions
(3) develop software systems to:
(i) recognize the type of implement connected to a tractor
(ii) determine the position of the implement relative to the tractor in 3D space to an accuracy less than 5 cm
(iii) determine key operating characteristics of the implement (different based on the type of implement)
(4) demonstrate the operation of the system with an example agricultural implement (or similar representation)

It is expected this project will require the use of multiple sensor types (Lidar, cameras, etc.), as well as multiple vision processing approaches (deterministic computer vision algorithms, deep learning recognition. etc.).

Based on the UA capstone project team’s work last year, further develop and optimize the comprehensive simulation model which can be used to calculate the optical beam propagation in multimode/single mode fibers, which are used in ASML lithography machines.

The simulation model also needs to access the beam field propagation in the multimode and single mode fiber, investigate the beam propagation field properties under external conditions such as fiber bending, twisting and thermal source. Improve the fiber bending loss calculation accuracy.