Non-Destructive Evaluation of Fatigue Damage Based on Sensor Fusion and Machine Learning

On World Remanufacturing Day, come learn about innovation at the REMADE Institute through a sneak peak of a REMADE-funded project in remanufacturing. The presentation will include a brief project overview and live Q & A. This is especially recommended for participants new to the REMADE Institute.

Non-destructive evaluation (NDE) of fatigue damage in recycled materials is essential to maximize the benefits of utilizing such materials for remanufacturing. We will present an innovative NDE technology that smartly combines the strengths of multiple NDE methods (e.g., acoustic emission, infrared imaging, linear ultrasound, and nonlinear ultrasound) using machine learning. This technology is expected to achieve a 10–15% improvement in the prediction accuracy of remaining useful life compared to existing methods.