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About this Abstract

Meeting

2023 AWS Poster Session

Symposium

4- Graduate Students

Presentation Title

General Linear Models in Additive Manufacturing: Interpretability and Prediction of Historical and Pedigreed Ti-6Al-4V Fatigue Data

Author(s)

Ian J. Wietecha-Reiman

On-Site Speaker (Planned)

Ian J. Wietecha-Reiman

Abstract Scope

Proceedings Inclusion?

Undecided

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Capacity and Acceptance Criteria of Welded Splices on Cold-Bent Reinforcing Steel

Capturing Accurate Measurements of Defect Size and Morphology during the Laser Welding of Aluminum Alloys

Characterization of Microstructural heterogeneities in Additively Manufactured Haynes 282

Computational Design of Experiment for Process Optimization in Temper Bead Welding

Computational Modeling of Carbide Precipitation during PWHT and Temperbead Welding of Grade 22 Steel

Computational Process-Microstructure-Property Optimization for Fe-10Ni Groove Welds

Design and Additive Manufacturing of Functionally Graded Materials for Olefin Furnaces

Effect the of local mechanical behavior on HAC susceptibility in the transition zone of DMWs

General Linear Models in Additive Manufacturing: Interpretability and Prediction of Historical and Pedigreed Ti-6Al-4V Fatigue Data

Impact of Sub 0.05 Percent Boron on 304L Liquation Cracking

Inoculated High Strength Aluminum Wire Feedstocks for Welding and DED

Leveraging Quantitative Fractography to Estimate Defect Severity from X-ray Computed Tomography of Additively Manufactured Titanium

Process-Microstructure-Property Effects of Additive Manufacturing on AF9628 Steel

Stress Relaxation Cracking Susceptibility in 347H SS Welds & E16.8.2 Repair Filler

Thermomechanical Behavior of Explosion Clad Welds for Gen3 CSP Systems

Welding of Thin Foil Titanium For Water Containing Pressure Vessels

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