Quantitative Non-Destructive Evaluation of Fatigue Damage Based on Multi-Sensor Fusion

Quantitative Non-Destructive Evaluation of Fatigue Damage Based on Multi-Sensor Fusion

Current single-sensor non-destructive fatigue damage evaluation techniques have limited accuracy in predicting actual fatigue damage and the remaining useful life of a recovered part. The integration of multiple sensors which respond differently to fatigue damage has the potential of increasing the predictive accuracy of remaining useful life of materials to enable higher remanufacturing rates of parts.

Project Team:
University of Illinois at Urbana-Champaign, Pennsylvania State University

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Remaining Life Determination

Remaining Life Determination

Non-destructive methods to measure accumulated mechanical damage (i.e., fatigue) prior to failure do not exist. Research will focus on methods to reliably detect features associated with early stage fatigue damage to predict the remaining useful life of the part.

Project Team:
Rochester Institute of Technology, University of Illinois at Urbana-Champaign, Caterpillar Inc.

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