Project

# Title Team Members TA Documents Sponsor
20 Magnetic-Wheeled Pipe Climbing Robot for PowerTool Rust Removal
Huanyu Feng
Junxiang Qin
Xiaocheng Zhang
Xuhao Yang
design_document1.pdf
final_paper1.pdf
proposal1.pdf
Jiahuan Cui
# Problem
Corrosion of steel infrastructure causes trillions of dollars in economic losses globally each year. For external steel pipework, rust removal is a necessary prerequisite for reliable coating adhesion. However, traditional manual grinding and wire brushing are labor-intensive and expose workers to hazards such as working at heights, confined spaces, dust, and vibration. Furthermore, manual cleaning often results in inconsistent surface quality, which negatively impacts long-term corrosion resistance.
# Solution Overview
The proposed solution is a magnetic-wheeled pipe-climbing robot capable of automated power-tool rust removal on external steel pipes. By automating the grinding and brushing process, the robot reduces human exposure to extreme and hazardous maintenance conditions. To ensure consistent surface quality, the robot features a flexible end effector with force-position adjustment to stabilize tool-to-surface contact over pipe curvatures and irregularities.
# Solution Components
## Mobility and Adhesion Subsystem
• Compact 4-wheel chassis compatible with the curvature of steel pipes.

• Drive motor assembly for locomotion.

• Magnetic adhesion wheels designed to provide passive, continuous attraction and sufficient traction margin to prevent slippage during grinding.

## Rust Removal End Effector Subsystem
• Modular, interchangeable abrasive tool head to mount attachments like wire brushes, fiber discs, or nonwoven conditioning discs.

• Tool head motor with controllable rotational speed.

• A flexible normal mechanism, such as springs or a leadscrew motor, to provide mechanical buffering and absorb vibration.

## Control and Sensing Subsystem
• Force sensor or load cell to measure normal contact force.

• Closed-loop control system that uses force sensor data and the leadscrew motor to implement a normal position compensation loop.

• Protection logic system to handle abnormal events like tool jamming, sudden loss of adhesion, or emergency stops.
# Criteria of Success
• The robot must maintain reliable magnetic adhesion and traction on curved steel surfaces without slipping while under tangential tool loads.

• The rust removal end effector must successfully maintain stable normal contact force when encountering surface irregularities like welds, pits, and thickness variations.

• The system must achieve specific target cleanliness grades (e.g., ISO 8501-1 St 2/St 3 or SSPC-SP 11) and surface roughness/profile metrics required for industrial coating preparation.

Low Cost Distributed Battery Management System

Featured Project

Web Board Link: https://courses.engr.illinois.edu/ece445/pace/view-topic.asp?id=27207

Block Diagram: https://imgur.com/GIzjG8R

Members: Logan Rosenmayer (Rosenma2), Anthony Chemaly(chemaly2)

The goal of this project is to design a low cost BMS (Battery Management System) system that is flexible and modular. The BMS must ensure safe operation of lithium ion batteries by protecting the batteries from: Over temperature, overcharge, overdischarge, and overcurrent all at the cell level. Additionally, the should provide cell balancing to maintain overall pack capacity. Last a BMS should be track SOC(state of charge) and SOH (state of health) of the overall pack.

To meet these goals, we plan to integrate a MCU into each module that will handle measurements and report to the module below it. This allows for reconfiguration of battery’s, module replacements. Currently major companies that offer stackable BMSs don’t offer single cell modularity, require software adjustments and require sense wires to be ran back to the centralized IC. Our proposed solution will be able to remain in the same price range as other centralized solutions by utilizing mass produced general purpose microcontrollers and opto-isolators. This project carries a mix of hardware and software challenges. The software side will consist of communication protocol design, interrupt/sleep cycles, and power management. Hardware will consist of communication level shifting, MCU selection, battery voltage and current monitoring circuits, DC/DC converter all with low power draws and cost. (uAs and ~$2.50 without mounting)