Late News Poster Session: On-Demand Poster Session: Advanced Materials
Program Organizers: TMS Administration

Monday 8:00 AM
March 14, 2022
Room: Advanced Materials
Location: On-Demand Poster Hall

Data-driven Approach to Design of Multicomponent Metallic Glasses: Anurag Bajpai1; Krishanu Biswas1; 1Indian Institute of Technology Kanpur, India
    The current study incorporates Mendeleev Number (MN) into the definition of atomic topology to design MMG alloy systems more accurately. The incorporation of MN emphasizes the importance of electronic interactions between atoms and bond orbitals in the amorphous phase formation in multicomponent alloy systems. This understanding of atomic topology, together with other key physical, thermodynamical, and kinetic features, was used to develop a near-foolproof design strategy for multicomponent metallic glasses (MMGs) prediction using machine learning (ML). Feature engineering was used to optimize the descriptor space, and various ML algorithms were used to classify the amorphous multicomponent alloys over crystalline counterparts. Based on various evaluation metrics, the Support Vector Machine (SVM) algorithm emerged as the best classifier, with a testing set accuracy of 92.7 percent. Several novel high entropy alloys (HEAs) were synthesized into ribbons via melt spinning and characterized based on the ML model's predictions to validate its outcomes.

Exploring Elastic and Plastic Anisotropy in a Refractory High Entropy Alloy Utilizing Combinatorial Instrumented Indentation and Electron Backscatter Diffraction: Abheepsit Raturi1; N P Gurao1; Krishanu Biswas1; 1IIT Kanpur
    High Entropy Alloys (HEA) are a new class of alloys formed by combining five or more principal elements. Among the various groups of HEAs, Refractory High Entropy Alloys (RHEAs) are extensively studied due to their high melting point, high hardness and strength. The higher-dimensional phase diagram of RHEA offers a vast composition space for alloy selection. However, probing these large number of alloys for mechanical properties (elastic and plastic) with existing conventional methods will be slow, laborious and inefficient. Thus, we have utilized a combinatorial approach employing instrumented micro-indentation with electron backscatter diffraction (EBSD) to predict the elastoplastic anisotropy of the RHEA. The observed anisotropy in elastoplastic behaviour of RHEA can be attributed to the activation of the different {112}<111> slip system along with the conservative movement of jog on the screw dislocation. Therefore, an approach combining micro-indentation with EBSD can be utilized to establish structure-property linkages in multicomponent RHEAs.

Quasi-hydrostatic Quasi-constrained Severe Plastic Deformation of Ternary Medium Entropy Alloy: Saumya Jha1; Krishanu Biswas1; N P Gurao1; 1India Institute of Technology Kanpur
    Many recent investigations have shown medium-entropy-alloys exhibiting better mechanical properties than their high-entropy counterparts. Besides a high contribution from friction-stresses and solid-solution-strengthening, strain-hardening is an important contributor to the strength observed in these systems. Severe-plastic-deformation(SPD) techniques like High-Pressure-Torsion(HPT) incorporate very high shear-strain in the material, leading to ultrafine-grained(UFG) microstructures, which cause manifold increase in strength. This work shows the variation in mechanical properties at different radial displacements from the center of HPT tested FeMnNi(low-SFE FCC-alloy) synthesized by casting-route, which shows significantly higher toughness than its high-entropy counterparts like Cantor-alloy. The gradient in grain-sizes along the radial-direction of these specimens has been modeled using microstructure-entropy for predicting the mechanical properties, which has also been validated by indentation-tests. The dislocation-density is computed by FEM-simulations for varying strains and validated by analyzing synchrotron-diffraction data. Thus, the model can be utilized to predict the strengthening behavior of similar systems subjected to quasi-hydrostatic loading conditions.