Development of Vickers hardness prediction models via microstructural analysis and machine learning
- PDF / 719,871 Bytes
- 12 Pages / 595.276 x 790.866 pts Page_size
- 84 Downloads / 139 Views
Development of Vickers hardness prediction models via microstructural analysis and machine learning Sucheta Swetlana1, Nikhil Khatavkar1, and Abhishek Kumar Singh1,* 1
Materials Research Centre, Indian Institute of Science, Bangalore 560012, India
Received: 20 April 2020
ABSTRACT
Accepted: 21 August 2020
Superalloys are high-temperature materials with outstanding strength and resistance to corrosion. A prior knowledge about its hardness is essential for development of new superalloys for its applications in aeronautics and power industries. Determining the hardness of a material with experiments is usually a destructive process. In this study, using structural, compositional and processing condition parameters as descriptors, machine learning (ML) models are developed to predict Vickers hardness. We employed image processing tools, which extract structural descriptors such as volume fraction, area, perimeter and aspect ratio of the phases in the microstructures. Using the structural features in combination with elemental and processing information as features, a Gaussian process regression model for the prediction of Vickers hardness of superalloys is developed. The model gives an unprecedented accuracy with a minimum root mean square error of 0.15. The descriptors provide insights into structure– property relationships, which are important for designing superalloys with improved Vickers hardness. The proposed method for extracting features from microstructures and combining them with elemental and processing information can be extended to develop ML model for prediction of other mechanical properties of superalloys.
Published online: 31 August 2020
Ó
Springer Science+Business
Media, LLC, part of Springer Nature 2020
Introduction Superalloys are extremely important structural materials possessing unique mechanical properties, which vary widely with composition and processing conditions. They have played a vital role in the development of high thrust engines and turbines
Handling Editor: Avinash Dongare.
Address correspondence to E-mail: [email protected]
https://doi.org/10.1007/s10853-020-05153-w
since 1950s and continue its operational importance due to superior heat resistance, high strength and long fatigue life [1–3]. Several advances have been made in development of new superalloys capable of operating at high temperature with higher engine efficiencies. Ni- and Co-based superalloys comprise of an ordered L12 (c0 ) precipitate distributed in fcc (c) matrix [4, 5]. The composition, size, volume fraction
15846 and distribution of c0 phase are mainly responsible for significant alteration in the mechanical properties of the superalloys. For structural application, superalloys with higher strength are required, which can be assessed by measurement of Vickers hardness. While the diversified compositional chemistry holds a major role in the estimation of Vickers hardness, the experimental processing conditions also change the microstructural arrangements of grains and phases in the superalloy [6]. Th
Data Loading...
