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Combinatorial metallurgical synthesis and processing of high-entropy alloys

Published online by Cambridge University Press:  17 July 2018

Zhiming Li*
Affiliation:
Max-Planck-Institut für Eisenforschung, Düsseldorf 40237, Germany
Alfred Ludwig
Affiliation:
Institute for Materials, Ruhr-Universität Bochum, Bochum 44780, Germany
Alan Savan
Affiliation:
Institute for Materials, Ruhr-Universität Bochum, Bochum 44780, Germany
Hauke Springer
Affiliation:
Max-Planck-Institut für Eisenforschung, Düsseldorf 40237, Germany
Dierk Raabe*
Affiliation:
Max-Planck-Institut für Eisenforschung, Düsseldorf 40237, Germany
*
a)Address all correspondence to these authors. e-mail: zhiming.li@mpie.de
b)e-mail: d.raabe@mpie.de

Abstract

High-entropy alloys (HEAs) with multiple principal elements open up a practically infinite space for designing novel materials. Probing this huge material universe requires the use of combinatorial and high-throughput synthesis and processing methods. Here, we present and discuss four different combinatorial experimental methods that have been used to accelerate the development of novel HEAs, namely, rapid alloy prototyping, diffusion-multiples, laser additive manufacturing, and combinatorial co-deposition of thin-film materials libraries. While the first three approaches are bulk methods which allow for downstream processing and microstructure adaptation, the latter technique is a thin-film method capable of efficiently synthesizing wider ranges of composition and using high-throughput measurement techniques to characterize their structure and properties. Additional coupling of these high-throughput experimental methodologies with theoretical guidance regarding specific target features such as phase (meta)stability allows for effective screening of novel HEAs with beneficial property profiles.

Information

Type
Invited Review
Copyright
Copyright © Materials Research Society 2018 
Figure 0

FIG. 1. Element groupings highlighting the main ingredients used to synthesize alloys pertaining to the five most typical HEA families, i.e., FCC-based strong and ductile HEAs, BCC-based refractory HEAs, HCP structured HEAs, light weight HEAs, and precious functional HEAs. For simplicity, other HEA systems or variants of the alloy classes mentioned above including other substitutional elements or interstitial ones such as B, C, N, O, etc. are not color-coded here.

Figure 1

FIG. 2. Schematic sketches illustrating the RAP approach for combinatorial synthesis and processing of HEAs. (a) Multiple casting; (b) hot-rolling; (c) homogenization and cutting; (d) cold-rolling; (e) annealing and cutting; (f) characterization. The RAP approach can also be applied to many other material systems including advanced high-strength steels.18

Figure 2

FIG. 3. Microstructure, compositional homogeneity state, and tensile properties of an iHEA with nominal composition of Fe49.5Mn30Co10Cr10C0.5 (at.%) in various processing conditions obtained after specific steps of RAP. (a1), (a2), and (a3) are the EBSD phase map, BSE image, and Mn EDS map of an identical region in the as-cast sample, respectively. (b1), (b2), and (b3) are the EBSD phase map, BSE image, and Mn EDS map of an identical region in the homogenized sample, respectively. (c) BSE image of the sample processed by homogenization, cold-rolling, and annealing. (d) BSE image of the directly cold-rolled and annealed sample after casting. (e) Tensile stress–strain curves of the iHEA samples in various processing conditions. “FCC”, “HCP”, and “HAGB” refer to FCC phase, hexagonal close-packed phase, and high angle grain boundaries with misorientation larger than 15°. “HR”, “Homo”, and “CR” refer to hot-rolling, homogenization, and cold-rolling, respectively. “EDS” and “EBSD” refer to EDS and EBSD, respectively. Tensile data are mainly taken from Ref. 26.

Figure 3

FIG. 4. Schematic sketches showing some examples of diffusion-multiple setups for combinational HEA research. (a and b) Two typical setups for four-component alloy systems. (c) A typical setup for five-component HEA systems.21,22

Figure 4

FIG. 5. Direct comparison of microhardness and atomic mismatch δ (the mean square deviation of the atomic size of elements47) in a section of a diffusion region in a Co–Cr–Fe–Mn–Ni quinary diffusion multiple made of Fe50Mn50, Co50Ni50, and Ni. Data points are mainly taken from Ref. 22.

Figure 5

FIG. 6. (a) Schematic sketch showing the LMD process and its capability for producing multilayered bulk alloys. During the LMD process, the premixed powders are transferred into the interaction zone of the laser beam and onto the substrate by injecting them through nozzles with a carrier plasma gas. All blends can be obtained by fractionized contribution from the different feeding powders with different compositions. Powders are mixed in a separate chamber prior to injection. (b–e) Schematic sketches showing some examples of the different compositionally graded alloys including HEAs that can be achieved by the LMD process. The colors in (b)–(e) refer to alloys of different compositions and blended colors represent that a transition is introduced from one composition to another.

Figure 6

FIG. 7. Microhardness values and magnetic properties along the length direction of the compositionally graded AlxCrCuFeNi2 (0 < x < 1.5) HEAs produced by laser deposition. The compositional gradient has a length of ∼25 mm. Ms and Hc refer to saturation magnetization and coercivity, respectively. Data points are mainly taken from Ref. 23.

Figure 7

FIG. 8. (a) Visualization of the quinary compositions contained in an exemplary thin-film library of Cr–Mn–Fe–Co–Ni co-sputtered from individual single-element targets, indicating the relative concentrations at each of 342 EDS measurement points. Legend identifies the elements and respective cathode positions. (b) Opened co-sputter chamber showing 5 confocal, 100 mm diameter magnetron sputter cathodes.

Figure 8

TABLE I. Comparison of the advantages and disadvantages pertaining to the four different combinatorial and high-throughput synthesis techniques for HEA development.