TRLUP – Intelligent Automation of Phased Array Ultrasonic Testing for Quantitative Defect Characterization and Evaluation

This project develops an intelligent automation system to revolutionize how we inspect safety-critical components in industries like aerospace, energy, and manufacturing. It focuses on Phased Array Ultrasonic Testing (PAUT), a powerful but skill-dependent method for finding hidden flaws in materials. Currently, interpreting PAUT data demands highly trained technicians to analyze complex signal patterns and images. This manual process can lead to inconsistencies, longer inspection times, and potential for human error.

Our solution introduces a smart software system that automates this complex analysis. It processes raw ultrasonic data and seamlessly integrates different scan views like A, B, C, and S scans to create clear, actionable results. The system performs advanced signal filtering to enhance clarity and uses quantitative measures to pinpoint defect locations and sizes with a high degree of reliability. This provides inspectors with trustworthy, evidence-based reports, effectively augmenting their expertise and reducing subjective judgment.

The primary benefit is a transformational improvement in inspection quality and efficiency. By automating the core interpretation steps, the system ensures consistent and repeatable outcomes, independent of operator experience. This significantly speeds up inspection timelines, reduces the likelihood of missed defects or false alarms, and lowers overall operational costs. It empowers partner organizations to conduct more reliable assessments of their critical assets, from pipelines to aircraft components. This enhanced capability supports stronger safety protocols, helps prevent unexpected failures, and extends the operational life of vital infrastructure. Ultimately, this project delivers a more robust, scalable, and dependable non-destructive testing method, positioning our partners at the forefront of industrial safety and operational excellence.

Faculty Supervisor:

Jolen Galaugher;Ralph Dueck

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

Red River College Polytechnic

Program: