Project Details

[Return to Previous Page]

AI for Tubing Outer Diameter Wavy Condition Detection

Company: TE Connectivity

Major(s):
Primary: CMPEN
Secondary: CMPSC

Non-Disclosure Agreement: YES

Intellectual Property: YES

Overview: The TE AI Cup is a global competition where TE Connectivity partners with university teams to tackle real-world industrial AI challenges in manufacturing environments. Students selecting this project are expected to meet regularly during the Spring semester (approximately bi-weekly) and virtually participate in the AI Cup Final Competition in May, presenting their solutions alongside teams from around the world. Winning teams may receive scholarship of up to $6,500, along with internship or full-time opportunities at TE Connectivity. This project focuses on developing an AI algorithm to predict "wavy condition" in tubing product. A wavy condition occurs during the tubing expansion process, where instability in the outer diameter (OD) causes chatter marks on the surface. These defects can compromise the product's functionality and performance. To monitor this proble, a laser-based measurement system is used to capture real-time OD data from 4 angular positions around the tube. Goal: Design and implement a real-time AI algorithm that can predict the onset of wavy conditions by analyzing OD data from the previous few seconds. The algorithm should be validated across multiple scenarios to ensure robustness and reliability. Deliverables: - A functioning AI model capable of predicting wavy conditions in real-time. - Demonstrated performance of the model using test datasets or real-time input. - A final 10-minute presentation summarizing the findings, methodology, and results, prepared for the AI Cup competition