NIST - National Institute of Standards and Technology
08/20/2023 | Press release | Archived content
Determination of Optimized Biaxial Cruciform Specimens of Mild Steels, SS 316L, and Aluminum Alloys
Published
August 20, 2023
Author(s)
Dilip K. Banerjee, Mark Iadicola, Evan Rust
Abstract
A methodology is described for obtaining optimum biaxial cruciform specimen designs by combining equibiaxial tension test data with finite element analysis (FEA) in conjunction with the application of an appropriate and a practical optimization strategy. This approach has been applied for developing optimum specimen design configurations for an ASTM A1008 steel, a SS 316L, and an AA 6xxx-T4 alloy. This methodology requires in sequence the (a) selection of an appropriate initial specimen design and development of an equivalent, verified FEA model, b) optimization of the verified FEA models, (c) fabrication of cruciform specimens according to the optimized dimensions and testing under appropriate loading conditions, and (d) validating equivalent FEA models that are built with optimized design configurations and simulated with boundary conditions obtained from the validation experiments. This study shows that such a combined "test-FEA-optimization" approach can be successfully applied to develop optimum cruciform specimens for advanced lightweighting materials under desired loading conditions.
Proceedings Title
Proceedings of the 14th International Conference on the Technology of Plasticity
Conference Dates
September 24-29, 2023
Conference Location
Mandelieu - La Napoule, FR
Conference Title
ICTP 2023
Pub Type
Conferences
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Keywords
Cruciform, finite element analysis, optimization, biaxial tension tests.
Citation
Banerjee, D. , Iadicola, M. and Rust, E. (2023), Determination of Optimized Biaxial Cruciform Specimens of Mild Steels, SS 316L, and Aluminum Alloys, Proceedings of the 14th International Conference on the Technology of Plasticity, Mandelieu - La Napoule, FR, [online], https://doi.org/10.1007/978-3-031-40920-2_48, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936525 (Accessed August 22, 2023)