期刊
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
卷 52, 期 6, 页码 2411-2434出版社
SPRINGER
DOI: 10.1007/s11661-021-06233-5
关键词
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资金
- ONR [N00014-19-2129, N00014-12-1-0075, N00014-12-1-0399, N00014-16-1-2982]
- National Science Foundation [DMR-1829070]
- DOE Office of Science by Argonne National Laboratory [DE-AC02-06CH11357]
- U.S. Naval Research Laboratory under the auspices of the Office of Naval Research
- MRSEC Program of the NSF [DMR 1720256]
- NSF
A new framework for predicting the strength and ductility of titanium alloys, as well as estimating the variability bounds of these properties, is presented in this study. The framework takes into consideration the distribution of microstructures and utilizes parametric evaluation strategies to test the model using virtual samples. A validation of the model is conducted by comparing property distributions and conducting verification steps.
Titanium alloys are processed to develop a wide range of microstructure configurations and therefore material properties. While these properties are typically measured experimentally, a framework for property prediction could greatly enhance alloy design and manufacturing. Here a microstructure-sensitive framework is presented for the prediction of strength and ductility as well as estimates of the bounds in variability for these properties. The framework explicitly considers distributions of microstructure via new approaches for instantiation of structure in synthetic samples. The parametric evaluation strategy, including the finite element simulation package FEpX, is used to create and test virtual polycrystalline samples to evaluate the variability bounds of mechanical properties in Ti-6Al-4V. Critical parameters for the property evaluation framework are provided by measurements of single crystal properties and advanced characterization of microstructure and slip system strengths in 2D and 3D. Property distributions for yield strength and ductility are presented, along with the validation and verification steps undertaken. Comparisons between strain localization and slip activity in virtual samples and in experimental grain-scale strain measurements are also discussed.
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