Lectures :: ECE 445 - Senior Design Laboratory

Lectures

Fall 2024 Lecture Material:

 

Pre-Lecture #1:


(before the first lecture)

 

 

Brainstorming and Ideation

  • Brainstorming and Ideation slides (pptx)
  • Videos (watch before coming to class)

 

 

Lecture #1:


(August 27th )

 

Getting Started

  • Welcome and Course Overview (link)- Professor Arne Fliflet
  • Request for Approval (link)
  • Pitches
    • PowerBox Technology (link)- Oscar Castillo (oscar.azofeifa@powerboxtech.com)
    • Spurlock Museum Artifact Dome (link)- Aaron Graham (agraham4@illinois.edu)
    • Ant-weight, 3D Printed Battlebot Challenge (link)- Professor Viktor Gruev (vgruev@illinois.edu)
  • Conflict Management Workshop (link)- Professor Olga Mironenko (olgamiro@illinois.edu)
  • Brainstorming

 

Pre-Lecture #2:


(before the second lecture)

 

 

Beyond Ideation

 

 

Lecture #2:


(January 23rd)

 

 

Moving Forward

  • Introduction
  • Human-Centered Autonomy- Professor Katherine Driggs-Campbell (krdc@illinois.edu)
  • Ethics (link)
  • Senior Design and Lab Safety (link) – Casey Smith (cjsmith0@illinois.edu)
  • Pitch(es)
    • Establishing an Intelligent Square Stepping Exercise System for Cognitive-Motor Rehabilitation in Older Adults with Multiple Sclerosis (link) – Professor Manuel Hernandez (mhernand@illinois.edu)
  • Brainstorming

 

Pre-Lecture #3:


(before the third lecture)

 

 

Design and Writing Tips

 

 

Lecture #3:

(January 30th)

 

 

Last Stop Before RFA

  • Intellectual Property – Dr. Michelle Chitambar (mchitamb@illinois.edu) (link)
  • Writing Center – Dr. Aaron Geiger (ageiger2@illinois.edu) (link)
  • Machine Shop – Gregg Bennett (gbenntt@illinois.edu)
  • PCB Tips (link)
  • Lab Notebook (link)
  • Modular Design (link)
  • R&V Table (link)
  • Proposal (link)
  • Design Review (link)

Spring 2023 Video Lectures:

Brainstorming

Finding a Problem (Video)
Generating Solutions (Video)
Diving Deeper (Video)
Voting (Video)
Reverse Brainstorming (Video)
Homework for Everyone (Video)

Important Information

Using the ECE 445 Website (Video)
Lab Notebook (Video , Slides)
Modular Design (Video, Slides)
Circuit Tips and Debugging (Video , Slides)
Eagle CAD Tutorial (Video)
Spring 2018 IEEE Eagle Workshop (Slides)
Spring 2018 IEEE Soldering Workshop (Slides)

Major Assignments and Milestones

Request for Approval (Video, Slides)
Project Proposal (Video, slides)
Design Document (Video, slides)
Design Review (Video, slides)
Writing Tips (Video, slides)

Resonant Cavity Field Profiler

Salaj Ganesh, Max Goin, Furkan Yazici

Resonant Cavity Field Profiler

Featured Project

# Team Members:

- Max Goin (jgoin2)

- Furkan Yazici (fyazici2)

- Salaj Ganesh (salajg2)

# Problem

We are interested in completing the project proposal submitted by Starfire for designing a device to tune Resonant Cavity Particle Accelerators. We are working with Tom Houlahan, the engineer responsible for the project, and have met with him to discuss the project already.

Resonant Cavity Particle Accelerators require fine control and characterization of their electric field to function correctly. This can be accomplished by pulling a metal bead through the cavities displacing empty volume occupied by the field, resulting in measurable changes to its operation. This is typically done manually, which is very time-consuming (can take up to 2 days).

# Solution

We intend on massively speeding up this process by designing an apparatus to automate the process using a microcontroller and stepper motor driver. This device will move the bead through all 4 cavities of the accelerator while simultaneously making measurements to estimate the current field conditions in response to the bead. This will help technicians properly tune the cavities to obtain optimum performance.

# Solution Components

## MCU:

STM32Fxxx (depending on availability)

Supplies drive signals to a stepper motor to step the metal bead through the 4 quadrants of the RF cavity. Controls a front panel to indicate the current state of the system. Communicates to an external computer to allow the user to set operating conditions and to log position and field intensity data for further analysis.

An MCU with a decent onboard ADC and DAC would be preferred to keep design complexity minimum. Otherwise, high MIPS performance isn’t critical.

## Frequency-Lock Circuitry:

Maintains a drive frequency that is equal to the resonant frequency. A series of op-amps will filter and form a control loop from output signals from the RF front end before sampling by the ADCs. 2 Op-Amps will be required for this task with no specific performance requirements.

## AC/DC Conversion & Regulation:

Takes an AC voltage(120V, 60Hz) from the wall and supplies a stable DC voltage to power MCU and motor driver. Ripple output must meet minimum specifications as stated in the selected MCU datasheet.

## Stepper Drive:

IC to control a stepper motor. There are many options available, for example, a Trinamic TMC2100. Any stepper driver with a decent resolution will work just fine. The stepper motor will not experience large loading, so the part choice can be very flexible.

## ADC/DAC:

Samples feedback signals from the RF front end and outputs the digital signal to MCU. This component may also be built into the MCU.

## Front Panel Indicator:

Displays the system's current state, most likely a couple of LEDs indicating progress/completion of tuning.

## USB Interface:

Establishes communication between the MCU and computer. This component may also be built into the MCU.

## Software:

Logs the data gathered by the MCU for future use over the USB connection. The position of the metal ball and phase shift will be recorded for analysis.

## Test Bed:

We will have a small (~ 1 foot) proof of concept accelerator for the purposes of testing. It will be supplied by Starfire with the required hardware for testing. This can be left in the lab for us to use as needed. The final demonstration will be with a full-size accelerator.

# Criterion For Success:

- Demonstrate successful field characterization within the resonant cavities on a full-sized accelerator.

- Data will be logged on a PC for later use.

- Characterization completion will be faster than current methods.

- The device would not need any input from an operator until completion.

Project Videos