New perspectives

The Gartner Hype Cycle,^{Reference Fenn and Blosch15} which helps industries and companies predict the maturity and adoption of technologies and applications, reports several new applications that need structural materials for higher operational temperatures, such as additive manufacturing and the Unmanned Aircraft System. In general, metallic systems in aerospace applications need to balance specific strength, creep resistance, and environmental stability.^{Reference Subramanian, Mendiratta and Dimiduk16} The Leading Edge Aviation Propulsion (LEAP) is the first jet engine that includes three-dimensional (3D) printed fuel nozzles of a Co-Cr superalloy.^17,18 On June 14, 2017, the Airbus corporation delivered the first LEAP-1A-powered A320neo aircraft to EasyJet.^{Reference Dubon19} Compared to its predecessor, the A320neo saves up to 15% in fuel and reduces up to 15% CO₂ emissions.²⁰ Because of the new integrated unibody geometry of the LEAP-1A, the noise of A320neo on takeoff and landing decreased by approximately 50%.

Today, a science-based systems-engineering approach is necessary to achieve such design objectives for advanced high-temperature materials. A hierarchy of computational and experimental tools needs to be integrated for the design of prototype alloys.^{Reference Seifi, Salem, Beuth, Harrysson and Lewandowski21} As an example, in 2019, ANSYS, which develops and markets the engineering simulation software, acquired Granta Design,^{Reference Smithyman22} co-founded by Ashby and Cebon, a provider of the materials information technology using professional big data to develop such hierarchical computational tools to integrate materials properties into spatially resolved system simulations.

Why metal mixology?

In 2014, Gludovatz et al. reported that the CoCrFeMnNi high-entropy alloy (HEA),^{Reference Gludovatz, Hohenwarter, Catoor, Chang, George and Ritchie24} which contain late transition metals such as Fe, Ni, Co, and Cu, was one of the best fracture-resistant materials for cryogenic applications.^{Reference Gludovatz, Hohenwarter, Catoor, Chang, George and Ritchie24} Senkov et al. later designed refractory HEAs, which primarily consist of five or more refractory elements, and showed superior properties for high-temperature applications.^{Reference Senkov, Wilks, Miracle, Chuang and Liaw25} The high-temperature strengths of several refractory HEAs and conventional stainless steel, aluminum, titanium, and nickel-based alloys are compared in Figure 1. Most of the refractory HEAs are significantly higher in strength (Table I). Senkov et al. suggest the solid solution strengthens the metallic systems.^{Reference Senkov, Wilks, Miracle, Chuang and Liaw25}

Figure 1. Yield strength (σ_0.2) of several refractory high-entropy alloys^{Reference Senkov, Wilks, Miracle, Chuang and Liaw25–Reference Zhang, Yang and Liaw39} (HEAs) and conventional stainless steel, aluminum, titanium, and nickel-based alloys. As potential high-temperature materials for structural applications, the HEAs show greater strength. Thermodynamic and mechanical properties for these single-phase and multiphase HEAs are summarized in Reference 40.

Table I. Yield strength (YS) values for alloys listed in Figure 1.

Continued improvements in yield strength (Figure 1) require a systematic approach to facilitate age-hardening effects for HEAs. Age hardening is the most widely used means for strengthening metal alloys. This strengthening mechanism relies more on the precipitation of desirable phases than on hardening from uniform dispersions. Strain fields introduced by the lattice mismatch between the precipitates and homogeneous matrix pin dislocations and act as a barrier to dislocation motion.^{Reference Huang, Liaw, Porcar, Liu, Liu, Kai and Chen41}

In their article in this issue, Cao et al. report^{Reference Cao, Yang, Liu and Liu42} the application of precipitation strengthening in HEAs. HEAs with multiple principal elements^{Reference Yeh, Chen, Lin, Gan, Chin, Shun, Tsau and Chang23,Reference Zhang, Zuo, Tang, Gao, Dahmen, Liaw and Lu43} have shown great potential as a new class of metal mixology for high-temperature applications.^{Reference Senkov, Wilks, Miracle, Chuang and Liaw25,Reference Miracle and Senkov44} In their article, Inoue et al.^{Reference Inoue, Kong, Zhu and Greer45} describe the latest progress in metallic alloys with elevated-temperature resistance in the form of glassy/amorphous structures, such as bulk metallic glass materials, rather than a crystalline structure. By introducing specific crystalline phases in an amorphous matrix (Figure 2),^{Reference Huang, Qiao, Winiarski, Lee, Scheel, Chuang, Liaw, Lo, Zhang and Di Michiel46} BMG-composite materials demonstrate improved plasticity and toughness when compared to monolithic amorphous materials.^{Reference Wang47–Reference Qiao, Jia and Liaw49}

Figure 2. Zr_58.5Ti_14.3Nb_5.2Cu_6.1Ni_4.9Be₁₁ bulk metallic glass matrix composite. (Insets) Diffraction patterns corresponding to the respective boxed areas.

In situ high-temperature measurements using neutrons and synchrotron x-rays

Spallation neutron sources have the advantage of illuminating multiple diffractions for texture-sensitive studies of materials as well as nano-precipitate diffraction. In particular, a main advantage of the in situ neutron environment is the possibility of investigating the evolution of microstructures since identical specimens are monitored during the entire experimental time and are subjected to the changes of the control parameters. Moreover, most of the neutron-diffraction instruments are equipped with the strobing software, such as the VULCAN Data Reduction and Interactive Visualization softwarE (VDRIVE)^{Reference An50} of VULCAN at the Spallation Neutron Source (SNS) of Oak Ridge National Laboratory (ORNL), which can reduce the data at the end of each test and is much more useful. The strobing system is a continuously run software utilizing event-based data acquisition where each neutron carries a time stamp. In this case, diffraction data can be collected continuously and binned later according to the desired time scale. Besides studying conventional materials, advanced in situ neutron diffraction would be useful in studying HEAs.^{Reference Lee, Song, Gao, Feng, Chen, Brechtl, Chen, An, Guo, Poplawsky, Li, Samaei, Chen, Hu, Choo and Liaw51–Reference Diao, Ma, Feng, Liu, Pu, Zhang, Guo, Poplawsky, Gao and Liaw53}

TAKUMI,^{Reference Harjo, Ito, Aizawa, Arima, Abe, Moriai, Iwahashi and Kamiyama54} a materials engineering diffractometer located in Japan at the Japan Proton Accelerator Research Complex, is another spallation-neutron-source diffractometer that is capable of various in situ environments, including elevated-temperature measurements. TAKUMI’s orientation-dependent data-acquisition function can couple various detectors (Figure 3a). Figure 3b shows the high-temperature heating setup for TAKUMI for in situ loading. Figure 3c shows the spatially resolved temperature mapping for the sample and the environment; meanwhile, additional thermocouples are attached on the sample to measure the temperatures.

Figure 3. (a) The TAKUMI instrument (Republic of Korea); (b) load frame equipped with a high-temperature chamber; and (c) temperature-mapping monitor.^{Reference Harjo, Ito, Aizawa, Arima, Abe, Moriai, Iwahashi and Kamiyama54}

Besides VULCAN and TAKUMI, the Spectrometer for Materials Research at Temperature and Stress at the Los Alamos Neutron Science Center^{Reference Bourke, Dunand and Ustundag55} in the United States, and ENGIN-X^{Reference Santisteban, Daymond, James and Edwards56} of the ISIS at the Rutherford Appleton Laboratory in the United Kingdom are also capable of similar types of measurements. For a reactor-based neutron diffractometer, the Residual Stress Instrument (RSI) installed at the High-Flux Advanced Neutron Application Reactor (HANARO) of the Korea Atomic Energy Research Institute (KAERI), is a wide-angle neutron diffractometer optimized for strain–stress scanning and deformation behavior studies for polycrystalline metals and alloys^{Reference Woo, Huang, Yeh, Choo, Lee and Tu57} (Figure 4).

Figure 4. Three different environmental temperature setups for measuring the residual stress in the High-Flux Advanced Neutron Application Reactor (HANARO): (a) room-temperature, (b) high-temperature, and (c) low-temperature in situ measurements. Note: T, temperature.

Similarly, synchrotron x-rays can also illuminate the microstructure with high penetration. For in situ heating experiments, the Taiwan Photon Source (TPS) in Taiwan has two stations.^{Reference Liu, Chen, Chen, Chiu, Chou, Huang, Fann, Kuo, Lee and Liang58} The x-ray nano-diffraction (TPS-21A) provides spatially resolved mapping for elements, phases, orientation, residual strain–stress, and dislocations at a resolution of 100 × 100 × 50 nm.^{Reference Chen, Dejoie, Jiang, Ku and Tamura59} For high-temperature heating, temporally coherent x-ray diffraction (TPS-09A) can heat the samples up to almost 1200 K.^{Reference Tsai, Chang, Wu, Lee, Liu and Chang60} In addition to studying conventional alloys, advanced synchrotron x-ray diffraction can be effective in investigating HEAs.^{Reference Guo, Dmowski, Noh, Rack and Liaw61,Reference Cheng, Zhang, Lou, Chen, Liaw, Yan, Zeng, Ding and Zeng62}

Several neutron and synchrotron x-ray instruments have been reviewed elsewhere.^{Reference Calder, An, Boehler, Dela Cruz, Frontzek, Guthrie, Haberl, Huq, Kimber, Liu, Molaison, Neuefeind, Page, dos Santos, Taddei, Tulk and Tucker63} Based on the different perspectives of heating effects, various in situ measurements can be applied. Crystallographic slip and associated dislocation activities during deformation at different temperatures can be revealed using these instruments. By refining the diffraction profiles with the general structure analysis software, peak components enable the investigation of dislocations and the average distance between patterned-dislocation structures,^{Reference Huang, Barabash, Clausen, Liu, Kai, Ice, Woods and Liaw64} which will be useful for probing the plastic behavior of HEAs.

Besides advancements in high-temperature experimental environments, Agnew et al. and Tome et al.’s self-consistent model couples bulk properties and diffraction data, enabling crystal-plasticity-based investigations.^{Reference Agnew, Tomé, Brown, Holden and Vogel65} A self-consistent model compares the internal strains within a polycrystalline alloy measured during deformation testing by in situ neutron diffraction. Using Tome’s self-consistent simulation code, information about the operation of slip and mechanical twinning modes as a function of strain can be obtained. In their article in this issue, Wang et al. report^{Reference Wang, Li, Li, Proust, Gan, Yan, Tang, Wu and Peng66} modeling twinning, detwinning, and dynamic recrystallization of magnesium alloys.

In the age of artificial intelligence and machine learning

A group from Rolls-Royce and the University of Cambridge recently reported the successful use of a neural network to design high-temperature molybdenum-based HEAs.^{Reference Conduit, Jones, Stone and Conduit67} Their artificial intelligence (AI) tool evaluated the cost, phase stability, precipitate content, yield stress, and hardness simultaneously, and their experimental results validated that the predicted alloy fulfills the computational predictions. Tshitoyan et al. report a machine-learning algorithm that successfully identifies and predicts emerging fields within the broad materials field without guidance from humans.^{Reference Tshitoyan, Dagdelen, Weston, Dunn, Rong, Kononova, Persson, Ceder and Jain68} Their material informatics system integrates high-throughput experiments, computations, and data-driven methods from 3.3 million published abstracts, which enable new materials design. The AI technology thus effectively saves time when compared to traditional methods used by humans. For materials development, the Materials Genome Initiative has shown significant progress in the computational simulation and modeling of materials.^{Reference Green, Choi, Hattrick-Simpers, Joshi, Takeuchi, Barron, Campo, Chiang, Empedocles, Gregoire, Kusne, Martin, Mehta, Persson, Trautt, Van Duren and Zakutayev69}

Although text mining does demonstrate superior capability for materials discovery,^{Reference Tshitoyan, Dagdelen, Weston, Dunn, Rong, Kononova, Persson, Ceder and Jain68} most data are from traditional experiments. Hence, the data domain is limited by conventional measurements, such as microstructure images. Meanwhile, the types of data collected from various instruments and with different resolutions, such as neutrons and high-energy synchrotron x-rays, are different from what is collected from traditional routine measurements. An advanced photon source can penetrate bulk materials, which can yield complementary ensemble average with a much greater sample size.

With the advances in synchrotron x-ray and neutron facilities, the neutron and synchrotron x-ray diffractometers are being equipped with load frames, a furnace, and other various sample environments. Hence, real-time in situ diffraction measurements are possible using these facilities. For example, VULCAN^{Reference Wang, Holden, Rennich, Stoica, Liaw, Choo and Hubbard70–Reference Huang, Yu, Yeh, Lee, An and Tu72} is dedicated to studying the mechanical behavior of materials at the SNS of ORNL. The special feature of this diverse sample environment bridges traditional mechanical tests and the underlying microstructure characterizations. In their article in this issue, An et al.^{Reference An, Chen and Stoica73} demonstrate several unique examples of in situ measurements, which now are routine operations of VULCAN.

Extension of the AI technology to correlate in situ advanced light-source results, traditional protocols, and high-throughput examinations is expected in future elevated-temperature materials development, including HEAs.^{Reference Kim, Diao, Lee, Samaei, Phan, Jong, An, Ma, Liaw and Chen74}

Further advances and opportunities

New metallurgical routes facilitating nanotechnology to explore the new territory of high specific strength for elevated-temperature metals are expected for structural applications. Researchers fabricated bulk ultrafine-grained (UFG)/nanocrystalline metals via slow cooling by instilling a continuous nucleation and growth control mechanism during slow cooling.^{Reference Cao, Yao, Jiang, Sokoluk, Wang, Ciston, Javadi, Guan, De Rosa, Xie, Lavernia, Schoenung and Li75} The bulk UFG/nanocrystalline metal with nanoparticles (bulk Cu ingots with WC nanoparticles) also reveals unprecedented thermal stability up to 1023 K, which is 75% of the melting temperature of Cu. Humphry-Baker et al. established a mechanochemical reaction between solid phases for 3D printing high-specific strength metals to reduce specific strengths.^{Reference Humphry-Baker, Garroni, Delogu and Schuh76} Meanwhile, Lin et al. strengthen metals using UFG/nanocrystalline phases, unlike conventional microstructure-refinement methods.^{Reference Chen, Xu, Choi, Pozuelo, Ma, Bhowmick, Yang, Mathaudhu and Li77}

Summary

This issue explores the state of the latest metal mixology for high-temperature applications. The microstructural degradation and failure mechanisms of the materials subjected to heating are reported for future applications associated with complex mechanical and thermal-loading conditions during service. The objective of this issue is to review modern tools, integrated with focused materials, to report innovative metallic systems, mainly HEAs for high-temperature applications. The issue explores advanced metallic systems of HEAs and BMGs, modern characterization, and computational tools for the development of the high-temperature metals, and creep behavior and thermal stability of some HEAs. Specifically, at higher temperatures, vacancy-induced behavior becomes critical, especially for HEAS.^{Reference Huang, Chou, Tu, Hung, Lam, Tsai, Chiang, Lin, Yeh, Chang, Chang, Yang, Li, Ku, An, Chang and Jao78} Lin et al.^{Reference Lin, Chou, Huang, Chuang, Jang and Nieh79} review some of the latest results of the creep for HEAS for this emergent field via nanoindentation technology. The content also includes alloy design, microstructure engineering, process development, machine-learning, high-throughput technology, and mechanistic modeling for deformation.