About this Abstract |
Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
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Symposium
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2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
Presentation Title |
A Data Analytics Approach to Fatigue Crack Initiation Site Prediction in Cellular Materials Using Thermography |
Author(s) |
Tyler Smith, Dhruv Bhate |
On-Site Speaker (Planned) |
Tyler Smith |
Abstract Scope |
Fatigue life prediction and crack initiation site localization of additively manufactured (AM) cellular metals is critical to designing fatigue tolerant components for enhanced structural performance. This study aims to demonstrate a novel method for predicting the location of fatigue crack initiation in AM metallic cellular materials which utilizes Infrared (IR) thermography to measure component surface temperature and predict crack initiation sites using data analytics. In this study, AM metallic honeycomb specimens were manufactured using Laser Powder Bed Fusion (LPBF) with Inconel 718. The specimens were tested under fully reversed low cycle fatigue conditions and data was collected with an IR camera at a framerate of 30fps. This data was analyzed using statistical data analytics methods to predict the location of crack initiation. The method developed was found to successfully predict the location of crack initiation prior to visible crack propagation. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |