Skip to main content
Article
Evaluation of Ti–Mn Alloys for Additive Manufacturing Using High-Throughput Experimental Assays and Gaussian Process Regression
Materials
  • Xinyi Gong, Georgia Institute of Technology
  • Yuksel C. Yabansu, Georgia Institute of Technology
  • Peter C. Collins, Iowa State University
  • Surya R. Kalidindi, Georgia Institute of Technology
Document Type
Article
Publication Version
Published Version
Publication Date
10-17-2020
DOI
10.3390/ma13204641
Abstract

Compositionally graded cylinders of Ti–Mn alloys were produced using the Laser Engineered Net Shaping (LENS™) technique, with Mn content varying from 0 to 12 wt.% along the cylinder axis. The cylinders were subjected to different post-build heat treatments to produce a large sample library of α–β microstructures. The microstructures in the sample library were studied using back-scattered electron (BSE) imaging in a scanning electron microscope (SEM), and their mechanical properties were evaluated using spherical indentation stress–strain protocols. These protocols revealed that the microstructures exhibited features with averaged chord lengths in the range of 0.17–1.78 μm, and beta content in the range of 20–83 vol.%. The estimated values of the Young’s moduli and tensile yield strengths from spherical indentation were found to vary in the ranges of 97–130 GPa and 828–1864 MPa, respectively. The combined use of the LENS technique along with the spherical indentation protocols was found to facilitate the rapid exploration of material and process spaces. Analyses of the correlations between the process conditions, several key microstructural features, and the measured material properties were performed via Gaussian process regression (GPR). These data-driven statistical models provided valuable insights into the underlying correlations between these variables.

Comments

This article is published as Gong, Xinyi, Yuksel C. Yabansu, Peter C. Collins, and Surya R. Kalidindi. "Evaluation of Ti–Mn Alloys for Additive Manufacturing Using High-Throughput Experimental Assays and Gaussian Process Regression." Materials 13, no. 20 (2020): 4641. DOI: 10.3390/ma13204641. Posted with permission.

Creative Commons License
Creative Commons Attribution 4.0 International
Copyright Owner
The Authors
Language
en
File Format
application/pdf
Citation Information
Xinyi Gong, Yuksel C. Yabansu, Peter C. Collins and Surya R. Kalidindi. "Evaluation of Ti–Mn Alloys for Additive Manufacturing Using High-Throughput Experimental Assays and Gaussian Process Regression" Materials Vol. 13 Iss. 20 (2020) p. 4641
Available at: http://works.bepress.com/peter-collins/40/