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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Verification, Calibration, and Validation Approaches in Modeling the Mechanical Performance of Metallic Materials
Presentation Title 2025 NIST Additive Manufacturing Benchmark Fatigue Challenge to Improve Computational Prediction Techniques: Measurement Description
Author(s) Jake T. Benzing, Newell Moser, Nicholas Derimow, Orion Kafka, Alec Saville, Ed Glaessgen, John Newman, Sai Yeratapally, Josh Pribe, George Weber, Sang-Hyon Chu, Rick Rogers, Cassidy Allen, Edwin Glaubitz, Nik Hrabe
On-Site Speaker (Planned) Jake T. Benzing
Abstract Scope One additive manufacturing benchmarking challenge in 2025 focused on fatigue properties of vertically oriented Ti-6Al-4V parts produced by laser powder bed fusion. Specimens underwent one of two heat treatments: 1) 800HIP: hot isostatic pressing (HIP) at 800 °C for 2 h with an argon pressure of 200 MPa and a 12 °C/min cooling rate or 2) 800VAC: the same heat treatment parameters, but using a vacuum furnace with a 75 mTorr pressure of argon. The treated, machined, and polished specimens were tested with a rotating bending fatigue machine (R = -1). Calibration data was provided in a public data repository (https://doi.org/10.18434/mds2-3734) and included 800HIP stress-cycles data, plus the following for both 800HIP and 800VAC: solid chemistry, AM parameters, tensile properties, 2-dimensional EBSD maps, plus pore size and 3-dimensional distributions via X-ray computed tomography. Requested predictions included the median S-N curve for 800VAC and the crack-initiation locations of specific specimens.
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2025 NIST Additive Manufacturing Benchmark Fatigue Challenge to Improve Computational Prediction Techniques: Measurement Description
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