Relevant bibliographies by topics / Multi principal element alloys

Academic literature on the topic 'Multi principal element alloys'

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Published: 6 September 2023

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Journal articles on the topic "Multi principal element alloys"

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Reiberg, Marius, Leonhard Hitzler, Lukas Apfelbacher, Jochen Schanz, David Kolb, Harald Riegel, and Ewald Werner. "Additive Manufacturing of CrFeNiTi Multi-Principal Element Alloys." Materials 15, no. 22 (November 8, 2022): 7892. http://dx.doi.org/10.3390/ma15227892.

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High entropy alloys (HEAs) and their closely related variants, called multi-principal element alloys (MPEAs), are the topic of a rather new area of research, and so far, the gathered knowledge is incomplete. This is especially true when it comes to material libraries, as the fabrication of HEA and MPEA samples with a wide variation in chemical compositions is challenging in itself. Additive manufacturing technologies are, to date, seen as possibly the best option to quickly fabricate HEA and MPEA samples, offering both the melting metallurgical and solid-state sintering approach. Within this study, CrFeNiTi MPEA samples were fabricated via laser powder-bed fusion (PBF-LB) and solid-state sintering of mechanically alloyed powder feedstock. The main emphasis is on the PBF-LB process, while solid-state sintering serves as benchmark. Within a volumetric energy density (VED) window of 50 J/mm³ to 83 J/mm³, dense samples with large defect-free sections and an average micro-hardness of 965 HV0.1 were fabricated. Clear correlations between the local chemical alloy composition and the related micro-hardness were recorded, with the main factor being the evaporation of titanium at higher VED settings through a reduction in the C14_Laves phase fraction.
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Derimow, N., R. F. Jaime, B. Le, and R. Abbaschian. "Hexagonal (CoCrCuTi)100-Fe multi-principal element alloys." Materials Chemistry and Physics 261 (March 2021): 124190. http://dx.doi.org/10.1016/j.matchemphys.2020.124190.

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Scully, John R., Samuel B. Inman, Angela Y. Gerard, Christopher D. Taylor, Wolfgang Windl, Daniel K. Schreiber, Pin Lu, James E. Saal, and Gerald S. Frankel. "Controlling the corrosion resistance of multi-principal element alloys." Scripta Materialia 188 (November 2020): 96–101. http://dx.doi.org/10.1016/j.scriptamat.2020.06.065.

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Charpagne, M. A., K. V. Vamsi, Y. M. Eggeler, S. P. Murray, C. Frey, S. K. Kolli, and T. M. Pollock. "Design of Nickel-Cobalt-Ruthenium multi-principal element alloys." Acta Materialia 194 (August 2020): 224–35. http://dx.doi.org/10.1016/j.actamat.2020.05.003.

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Choudhury, Amitava, Tanmay Konnur, P. P. Chattopadhyay, and Snehanshu Pal. "Structure prediction of multi-principal element alloys using ensemble learning." Engineering Computations 37, no. 3 (November 21, 2019): 1003–22. http://dx.doi.org/10.1108/ec-04-2019-0151.

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Purpose The purpose of this paper, is to predict the various phases and crystal structure from multi-component alloys. Nowadays, the concept and strategies of the development of multi-principal element alloys (MPEAs) significantly increase the count of the potential candidate of alloy systems, which demand proper screening of large number of alloy systems based on the nature of their phase and structure. Experimentally obtained data linking elemental properties and their resulting phases for MPEAs is profused; hence, there is a strong scope for categorization/classification of MPEAs based on structural features of the resultant phase along with distinctive connections between elemental properties and phases. Design/methodology/approach In this paper, several machine-learning algorithms have been used to recognize the underlying data pattern using data sets to design MPEAs and classify them based on structural features of their resultant phase such as single-phase solid solution, amorphous and intermetallic compounds. Further classification of MPEAs having single-phase solid solution is performed based on crystal structure using an ensemble-based machine-learning algorithm known as random-forest algorithm. Findings The model developed by implementing random-forest algorithm has resulted in an accuracy of 91 per cent for phase prediction and 93 per cent for crystal structure prediction for single-phase solid solution class of MPEAs. Five input parameters are used in the prediction model namely, valence electron concentration, difference in the pauling negativeness, atomic size difference, mixing enthalpy and mixing entropy. It has been found that the valence electron concentration is the most important feature with respect to prediction of phases. To avoid overfitting problem, fivefold cross-validation has been performed. To understand the comparative performance, different algorithms such as K-nearest Neighbor, support vector machine, logistic regression, naïve-based approach, decision tree and neural network have been used in the data set. Originality/value In this paper, the authors described the phase selection and crystal structure prediction mechanism in MPEA data set and have achieved better accuracy using machine learning.
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Xie, Chenyang, Xuejie Li, Fan Sun, Junsoo HAN, and Kevin Ogle. "The Spontaneous Repassivation of Cr Containing Steels and Multi-Principal Element Alloys." ECS Meeting Abstracts MA2022-02, no. 11 (October 9, 2022): 735. http://dx.doi.org/10.1149/ma2022-0211735mtgabs.

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The corrosion resistance of an alloy in most environments will depend on its ability to spontaneously passivate at the corrosion potential. This is especially true for localized forms of corrosion such as occur in acidic, occluded environments during pitting and crevice corrosion. In the laboratory however, the kinetics of passivation are mainly investigated using electrochemical methods that require polarization of the material via an external power source. Spontaneous passivation cannot directly be observed by this approach. It is therefore of interest to investigate the repassivation phenomena as it occurs at open circuit, driven by the oxidizing agents present in the electrolyte. To this end, we have recently developed a methodology to determine the kinetics of spontaneous passivation using element-resolved electrochemistry (atomic spectroelechemistry, or ASEC) [1-3]. Passivation may be measured by first disrupting the original passive film using an electrochemical perturbation and then monitoring the corrosion rate as a function of time on an element-by-element basis. As the passive film reforms, the corrosion rate decreases allowing a real time monitoring of film formation. The perturbation may be either a cathodic pulse to reduce the passive film as in a conventional polarization curve experiment, or it may be an anodic pulse into the transpassive domain. In addition, the contribution of the individual alloying elements to dissolution and to passive film formation may be quantitatively accessed thereby yielding insight into one of the fundamental questions for engineering new alloys - what is the specific role of the different alloying elements? For example, it is widely recognized that for the Cr containing alloys, Cr is the primary constituent of the passive film, at least when Cr is above about 12%. However, the presence of other elements may affect the efficiency of Cr-oxide film formation, some like Mo in a beneficial way [2], others like Mn in a negative way [3]. Via a simple mass balance, the elemental dissolution rate profiles may be transformed into a time resolved elemental surface enrichment profile. This allows a direct look into the role of the alloying elements. The Figure gives an example of this approach based on the results from Ref. 3. The system under investigation was the high entropy Cantor alloy containing alloyed nitrogen in a sulfuric acid solution. The left-hand side gives the open dissolution rate for an experimental sequence of (a) open circuit, (b) cathodic activation (300 s at -0.8 V vs. SCE), (c) repassivation at open circuit (300 s). Repassivation is indicated by the initially large corrosion rate (active state) followed by the decrease of the corrosion rate as the passive film reforms. The contribution of the individual alloying elements is shown all of which dissolved congruently with the exception of Cr which was below the congruent level (black line) indicative of Cr surface enrichment. The right hand side gives the quantity of Cr enriched on the surface during the sequence calculated by mass balance. Cr dissolves during the cathodic activation but reforms as soon as the potential is released. Also shown is the Cr enrichment during an anodic step to 0.4 V which leads to a more rapid and significant build-up of surface Cr. This presentation will review the methodology of spontaneous passivation measurements for both austenitic stainless steel (304L) and for the high entropy Cantor alloy (equimolar NiFeCrCoMn) with variable Mn content. In particular, we will focus on the differences between repassivation following cathodic activation and transpassive activation. The mechanisms of spontaneous repassivation will be discussed with an emphasis on how the alloying elements influence repassivation under these two conditions. 1) K Ogle “Atomic emission spectroelectrochemistry: real-time rate measurements of dissolution, corrosion, and passivation”, Corrosion 75 (2019)1398-1419. Open access. 2) X Li, J D Henderson, F P Filice, D Zagidulin, M C Biesinger, F Sun, B Qian, D W Shoesmith, J J Noël, K Ogle, “The contribution of Cr and Mo to the passivation of Ni22Cr and Ni22Cr10Mo alloys in sulfuric acid”, Corrosion Science 176, (2020) 109015. 3) X Li, P Zhou, H Feng, Z Jiang, H Li, K Ogle, “Spontaneous passivation of the CoCrFeMnNi high entropy alloy in sulfuric acid solution: The effects of alloyed nitrogen and dissolved oxygen”, Corrosion Science 196(2022)110016. Figure 1
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Xing, Bin, Xinyi Wang, William J. Bowman, and Penghui Cao. "Short-range order localizing diffusion in multi-principal element alloys." Scripta Materialia 210 (March 2022): 114450. http://dx.doi.org/10.1016/j.scriptamat.2021.114450.

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Zhao, Shijun, Yaoxu Xiong, Shihua Ma, Jun Zhang, Biao Xu, and Ji-Jung Kai. "Defect accumulation and evolution in refractory multi-principal element alloys." Acta Materialia 219 (October 2021): 117233. http://dx.doi.org/10.1016/j.actamat.2021.117233.

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Senkov, O. N., J. D. Miller, D. B. Miracle, and C. Woodward. "Accelerated exploration of multi-principal element alloys for structural applications." Calphad 50 (September 2015): 32–48. http://dx.doi.org/10.1016/j.calphad.2015.04.009.

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Islam, Nusrat, Wenjiang Huang, and Houlong L. Zhuang. "Machine learning for phase selection in multi-principal element alloys." Computational Materials Science 150 (July 2018): 230–35. http://dx.doi.org/10.1016/j.commatsci.2018.04.003.

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Dissertations / Theses on the topic "Multi principal element alloys"

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Mridha, Sanghita. "Structure Evolution and Nano-Mechanical Behavior of Bulk Metallic Glasses and Multi-Principal Element Alloys." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984260/.

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Bulk metallic glasses and multi-principal element alloys represent relatively new classes of multi-component engineering materials designed for satisfying multiple functionalities simultaneously. Correlating the microstructure with mechanical behavior (at the microstructural length-scales) in these materials is key to understanding their performance. In this study, the structure evolution and nano-mechanical behavior of these two classes of materials was investigated with the objective of fundamental scientific understanding of their properties. The structure evolution, high temperature nano-mechanical behavior, and creep of two Zr-based alloys was studied: Zr41.2Ti13.8Cu12.5Ni10.0Be22 (Vitreloy1) and Zr52.5Ti5Cu17.9Ni14.6All0 (Vitreloy105). Devitrification was found to proceed via the formation of a metastable icosahedral phase with five-fold symmetry. The deformation mechanism changes from inhomogeneous or serrated flow to homogenous flow near 0.9Tg, where Tg is the glass transition temperature. The creep activation energy for Vitreloy1 and Vitreloy105 were 144 kJ/mol and 125 kJ/mol, respectively in the range of room temperature to 0.75Tg. The apparent activation energy increased drastically to 192 kJ/mol for Vitreloy1 and 215 kJ/mol for Vitreloy105 in the range of 0.9Tg to Tg, indicating a change in creep mechanism. Structure evolution in catalytic amorphous alloys, Pt57.5Cu14.7Ni5.3P22.5 and Pd43Cu27Ni10P20, was studied using 3D atom probe tomography and elemental segregation between different phases and the interface characteristics were identified. The structure evolution of three multi-principal element alloys were investigated namely CoCrNi, CoCrFeMnNi, and Al0.1CoCrFeNi. All three alloys formed a single-phase FCC structure in as-cast, cold worked and recrystallized state. No secondary phases precipitated after prolonged heat treatment or mechanical working. The multi-principal element alloys showed less strain gradient plasticity compared to pure metals like Ni during nano-indentation. This was attributed to the highly distorted lattice which resulted in lesser density of geometrically necessary dislocations (GNDs). Dislocation nucleation was studied by low load indentation along with the evaluation of activation volume and activation energy. This was done using a statistical approach of analyzing the "pop-in" load marking incipient plasticity. The strain rate sensitivity of nanocrystalline Al0.1CoCrFeNi alloy was determined by in situ compression of nano-pillars in a Pico-indenter. The nanocrystalline alloy demonstrated a yield strength of ~ 2.4 GPa, ten times greater than its coarse grained counterpart. The nanocrystalline alloy exhibited high strain rate sensitivity index of 0.043 and activation volume of 5b3 suggesting grain boundary dislocation nucleation.
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Slone, Connor. "Influence of composition and processing on the mechanical response of multi-principal element alloys containing Ni, Cr, and Co." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555522223986934.

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Bryant, Nathan J. "EXPERIMENTAL VALIDATION OF THE CALPHAD APPROACH APPLIED TO MULTI-PRINCIPLE ELEMENT ALLOYS." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1433176902.

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Akbari, Azin. "COMBINATORIAL SCREENING APPROACH IN DEVELOPING NON-EQUIATOMIC HIGH ENTROPY ALLOYS." UKnowledge, 2018. https://uknowledge.uky.edu/cme_etds/87.

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High entropy alloys (HEA) are a relatively new group of alloys first introduced in 2004. They usually contain 5 to 6 different principle elements. Each of these elements comprise 5-35 at. % of the chemical composition of the alloy. There is a growing interest in the research community about the development of these alloys as well as their engineering applications. Some HEAs have interesting properties that have made them well suited for higher temperature applications, particularly refractory uses, while some have been shown to maintain their mechanical properties even at cryogenic temperatures. Initially, the HEA research was focused on developing alloys with equiatomic compositions as it was believed that the single phase HEA would only form at such composition ratios. However, further research have found multiple HEAs with non-equiatomic chemical compositions. A major question that needs to be answered at this point is how to identify these non-equiatomic single phase alloy systems. Unlike the conventional alloys, the HEAs do not have a base element as a solvent, which complicates the identification of new alloy systems via conventional development techniques. To find a potential HEA, alloy development techniques of both exploratory and computational natures are being conducted within the community. Even though multiple HEAs have been successfully identified and fabricated by these techniques, in most cases they require extensive experimental data and are relatively time consuming and expensive. This study proposes a thin film combinatorial approach as a more efficient experimental method in developing new HEA alloy systems. In order to study HEA systems with different crystal structures, nominal HEA compositions were selected, including: CoFeMnNiCu in order to achieve face centered cubic (FCC) HEA, OsRuWMoRe to obtain hexagonal closed packed (HCP) and VNbMoTaW in an attempt to form a body centered cubic (BCC) crystal structure. Thin film samples were fabricated by simultaneous magnetron sputtering of the elements onto silicon wafer substrates. The arrangement of the sputtering targets yielded a chemical composition gradient in the films which ultimately resulted in the formation of various phases. Some of these phases exhibited the desired single-phase HEA, albeit with non-equiatomic chemical compositions. Bulk samples of the identified HEA compositions were prepared by arc melting mixtures of the metals. Microstructure of both thin film samples and bulk samples were characterized via scanning electron microscopy (SEM), focused ion beam (FIB) and energy dispersive x-ray spectroscopy (EDX). The crystal structures of the samples were studied by X-ray diffraction (XRD) and electron backscattered diffraction (EBSD) technique. Applying nano-indentation technique, the mechanical properties of some of the samples were screened over the composition gradient as well. By applying this combinatorial thin film approach, single-phase FCC, HCP and BCC HEAs were detected and successfully produced in bulk form. Additionally, screening the properties of the compositionally gradient thin films, as well as their chemical composition and crystal structure, provided a thorough understanding of the phase space. This experimental approach proved to be more efficient in identifying new alloy systems than conventional exploratory development methods.
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Jha, Rajesh. "Combined Computational-Experimental Design of High-Temperature, High-Intensity Permanent Magnetic Alloys with Minimal Addition of Rare-Earth Elements." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2621.

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AlNiCo magnets are known for high-temperature stability and superior corrosion resistance and have been widely used for various applications. Reported magnetic energy density ((BH) max) for these magnets is around 10 MGOe. Theoretical calculations show that ((BH) max) of 20 MGOe is achievable which will be helpful in covering the gap between AlNiCo and Rare-Earth Elements (REE) based magnets. An extended family of AlNiCo alloys was studied in this dissertation that consists of eight elements, and hence it is important to determine composition-property relationship between each of the alloying elements and their influence on the bulk properties. In the present research, we proposed a novel approach to efficiently use a set of computational tools based on several concepts of artificial intelligence to address a complex problem of design and optimization of high temperature REE-free magnetic alloys. A multi-dimensional random number generation algorithm was used to generate the initial set of chemical concentrations. These alloys were then examined for phase equilibria and associated magnetic properties as a screening tool to form the initial set of alloy. These alloys were manufactured and tested for desired properties. These properties were fitted with a set of multi-dimensional response surfaces and the most accurate meta-models were chosen for prediction. These properties were simultaneously extremized by utilizing a set of multi-objective optimization algorithm. This provided a set of concentrations of each of the alloying elements for optimized properties. A few of the best predicted Pareto-optimal alloy compositions were then manufactured and tested to evaluate the predicted properties. These alloys were then added to the existing data set and used to improve the accuracy of meta-models. The multi-objective optimizer then used the new meta-models to find a new set of improved Pareto-optimized chemical concentrations. This design cycle was repeated twelve times in this work. Several of these Pareto-optimized alloys outperformed most of the candidate alloys on most of the objectives. Unsupervised learning methods such as Principal Component Analysis (PCA) and Heirarchical Cluster Analysis (HCA) were used to discover various patterns within the dataset. This proves the efficacy of the combined meta-modeling and experimental approach in design optimization of magnetic alloys.
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O'Donnell, Martin. "Finite element modelling of a multi-stage stretch-forming operation using aerospace alloys." Thesis, University of Ulster, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270463.

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Paquet, Daniel. "Adaptive Multi-level Model for Multi-scale Ductile Fracture Analysis in Heterogeneous Aluminum Alloys." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1324565883.

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Tedjaseputra, Erik Nugroho. "Numerical Simulations of Microstructure-based Crystal Plasticity Finite Element Model for Titanium and Nickel Alloys." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1325084673.

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Bunnell, Spencer Reese. "Real Time Design Space Exploration of Static and Vibratory Structural Responses in Turbomachinery Through Surrogate Modeling with Principal Components." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8451.

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Design space exploration (DSE) is used to improve and understand engineering designs. Such designs must meet objectives and structural requirements. Design improvement is non-trivial and requires new DSE methods. Turbomachinery manufacturers must continue to improve existing engines to keep up with global demand. Two challenges of turbomachinery DSE are: the time required to evaluate designs, and knowing which designs to evaluate. This research addressed these challenges by developing novel surrogate and principal component analysis (PCA) based DSE methods. Node and PCA-based surrogates were created to allow faster DSE of turbomachinery blades. The surrogates provided static stress estimation within 10% error. Surrogate error was related to the number of sampled finite element (FE) models used to train the surrogate and the variables used to change the designs. Surrogates were able to provide structural evaluations three to five orders of magnitude faster than FEA evaluations. The PCA-based surrogates were then used to create a PCA-based design workflow to help designers know which designs to evaluate. The workflow used either two-point correlation or stress and geometry coupling to relate the design variables to principal component (PC) scores. These scores were projections of the FE models onto the PCs obtained from PCA. Analysis showed that this workflow could be used in DSE to better explore and improve designs. The surrogate methods were then applied to vibratory stress. A computationally simplified analysis workflow was developed to allow for enough fluid and structural analyses to create a surrogate model. The simplified analysis workflow introduced 10% error but decreased the computational cost by 90%. The surrogate methods could not directly be applied to emulation of vibration due to the large spikes which occur near resonance. A novel, indirect emulation method was developed to better estimate vibratory responses Surrogates were used to estimate the inputs to calculate the vibratory responses. During DSE these estimations were used to calculate the vibratory responses. This method reduced the error between the surrogate and FEA from 85% to 17%. Lastly, a PCA-based multi-fidelity surrogate method was developed. This assumed the PCs of the high and low-fidelities were similar. The high-fidelity FE models had tens of thousands of nodes and the low-fidelity FE models had a few hundred nodes. The computational cost to create the surrogate was decreased by 75% for the same errors. For the same computational cost, the error was reduced by 50%. Together, the methods developed in this research were shown to decrease the cost of evaluating the structural responses of turbomachinery blade designs. They also provided a method to help the designer understand which designs to explore. This research paves the way for better, and more thoroughly understood turbomachinery blade designs.
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Xu, Rui. "Multiscale modeling of heterogeneous materials : application to Shape Memory Alloys." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0066.

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L’objectif principal de cette thèse est de développer des techniques de modélisation et de simulation multi-échelles avancées et efficaces pour les matériaux architecturés et composites à base d’Alliages à Mémoire de Forme (AMF). À cette fin, un modèle générique 3D multi-échelles pour les AMF architecturés est implémenté dans ABAQUS, où un modèle thermodynamique, proposé par Chemisky et al. [1], est adopté pour décrire le comportement constitutif local de l’AMF, et la méthode des éléments finis multi-échelles (EF2) pour réaliser l’interaction en temps réel entre le niveau microscopique et le niveau macroscopique. L’instabilité élastique des fibres au niveau microscopique est également étudiée efficacement dans ce cadre en introduisant la Méthode Asymptotique Numérique (MAN) et la Technique des Coefficients de Fourier à Variation Lente (TCFVL). Pour améliorer l’efficacité du calcul de l’approche simultanée à plusieurs échelles, dans laquelle d’énormes problèmes microscopiques sont résolus en ligne pour mettre à jour les contraintes macroscopiques, des méthodes de calcul multi-échelles basées sur les données sont proposées pour les structures composites. En découplant les échelles corrélées dans le cadre FE2, les problèmes microscopiques sont résolus hors ligne, tandis que le coût du calcul macroscopique en ligne est considérablement réduit. De plus, en formulant le schéma data-driven en contrainte et déformation généralisées, le calcul par la technique Structural-Genome-Driven est développé pour les structures composites à parois minces
The main aim of this thesis is to develop advanced and efficient multiscale modeling and simulation techniques for Shape Memory Alloys (SMAs) composite and architected materials. Towards this end, a 3D generic multiscale model for architected SMAs is implemented in ABAQUS, where a thermodynamic model, proposed by Chemisky et al. [1], is adopted to describe the local constitutive behavior of the SMA, and the multiscale finite element method (FE2) to realize the real-time interaction between the microscopic and macroscopic levels. Microscopic fiber instability is also efficiently investigated in this framework by introducing the Asymptotic Numerical Method (ANM) and the Technique of Slowly Variable Fourier Coefficients (TSVFC). To improve the computational efficiency of the concurrent mulitscale approach, in which tremendous microscopic problems are solved online to update macroscopic stress, data-driven multiscale computing methods are proposed for composite structures. Decoupling the correlated scales in concurrent FE2 framework, microscopic problems are solved offline, while the online macroscopic computational cost is significantly reduced. Further, by formulating the data-driven scheme in generalized stress and strain, Structural-Genome-Driven computing is developed for thin-walled composite structures
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Books on the topic "Multi principal element alloys"

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O'Donnell, Martin. Finite element modelling of a multi-stage stretch-forming operation using aerospace alloys. [S.l: The author], 2003.

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Book chapters on the topic "Multi principal element alloys"

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Han, Linge, Hui Jiang, Dongxu Qiao, Yiping Lu, and Tongmin Wang. "Effects of Iron on Microstructure and Properties of CoCrFexNi Multi-principal Element Alloys." In Advanced Functional Materials, 253–58. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0110-0_28.

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Chau, Nguyen Hai, Masatoshi Kubo, Le Viet Hai, and Tomoyuki Yamamoto. "Phase Prediction of Multi-principal Element Alloys Using Support Vector Machine and Bayesian Optimization." In Intelligent Information and Database Systems, 155–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73280-6_13.

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Beniwal, Dishant, Jhalak, and Pratik K. Ray. "Data-Driven Phase Selection, Property Prediction and Force-Field Development in Multi-Principal Element Alloys." In Forcefields for Atomistic-Scale Simulations: Materials and Applications, 315–47. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3092-8_16.

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Jayaraman, Tanjore V., and Ramachandra Canumalla. "Data-driven Search and Selection of Ti-containing Multi-principal Element Alloys for Aeroengine Parts." In The Minerals, Metals & Materials Series, 501–16. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-22524-6_45.

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Barton, G., X. Li, and Gerhard Hirt. "Finite-Element Modeling of Multi-Pass Forging of Nickel-Base Alloys Using a Multi-Mesh Method." In THERMEC 2006, 2503–8. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-428-6.2503.

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Großmann, Christian, Andreas Schäfer, and Martin F. X. Wagner. "Finite Element Simulation of Localized Phase Transformations in Pseudoelastic NiTi Shape Memory Alloys Subjected to Multi-Axial Stress States." In ICOMAT, 525–30. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118803592.ch76.

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Sharma, Prince, Nushrat Naushin, Sahil Rohila, and Abhishek Tiwari. "Magnesium containing High Entropy Alloys." In Magnesium Alloys Structure and Properties [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98557.

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High Entropy alloys (HEAs) or Complex Concentrated Alloys (CCAs) or Multi-Principal Element Alloys (MPEAs) is a matter of interest to material scientists for the last two decades due to the excellent mechanical properties, oxidation and corrosion resistant behaviors. One of the major drawbacks of HEAs is their high density. Mg containing HEAs show low density compared to peers, although extensive research is required in this field. This chapter aims to include all the available information on synthesis, design, microstructures and mechanical properties of Mg containing HEAs and to highlight the contemporary voids that are to be filled in near future.
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Sun, Yugang. "Microwave-enabled flash heating and cooling for synthesizing single-phase multi-principal element alloy nanoparticles." In Reference Module in Materials Science and Materials Engineering. Elsevier, 2022. http://dx.doi.org/10.1016/b978-0-12-822425-0.00118-4.

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Ming, Kaisheng, Shijian Zheng, and Jian Wang. "Microstructures and Deformation Mechanisms of FCC-Phase High-Entropy Alloys." In High Entropy Alloys - Recent Advances, New Perspectives and Applications [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104822.

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Strength and ductility are the most fundamental mechanical properties of structural materials. Most metallurgical mechanisms for enhancing strength often sacrifice ductility, referred to as the strength–ductility trade-off. Over the past few decades, a new family of alloys—high-entropy alloys (HEAs) with multi-principal elements, has appeared great potential to overcome the strength–ductility trade-off. Among various HEAs systems, CrFeCoNi-based HEAs with a face-centered cubic (fcc) structure exhibit a great combination of strength, ductility, and toughness via tailoring microstructures. This chapter summarizes recent works on realizing strength–ductility combinations of fcc CrFeCoNi-based HEAs by incorporating multiple strengthening mechanisms, including solid solution strengthening, dislocation strengthening, grain boundary strengthening, and precipitation strengthening, through compositional and microstructural engineering. The abundant plastic deformation mechanisms of fcc HEAs, including slips associated with Shockley partial dislocation and full dislocations, nanotwinning, martensitic phase transformation, deformation-induced amorphization, and dynamically reversible shear transformation, are reviewed. The design strategies of advanced HEAs are also discussed in this chapter, which provides a helpful guideline to explore the enormous number of HEA compositions and their microstructures to realize exceptional strength–ductility combinations.
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Poon, S. Joseph, and Jian He. "Multi-Principal-Element Approach to High-Performance Thermoelectric Materials." In Reference Module in Materials Science and Materials Engineering. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-803581-8.11719-9.

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Conference papers on the topic "Multi principal element alloys"

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Scully, John. "Corrosion and passivation of multi-principal element alloys in aqueous solutions." In 1st Corrosion and Materials Degradation Web Conference. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/cmdwc2021-09921.

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Aksoy, Doruk, Megan McCarthy, Ian Geiger, and Timothy Rupert. "Local and Near-Boundary Environments in NbMoTaW Refractory Multi-Principal Element Alloy." In Proposed for presentation at the 2nd World Congress on High Entropy Alloys (HEA 2021) held December 5-8, 2021 in Charlotte, North Carolina. US DOE, 2021. http://dx.doi.org/10.2172/1905965.

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Birbilis, Nick, Sanjay Choudhary, and Sebastian Thomas. "On the corrosion and passivation of lightweight Al-based multi-principal element alloys (MPEAs)." In 1st Corrosion and Materials Degradation Web Conference. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/cmdwc2021-09919.

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Paredes, Marcelo. "High Entropy Alloys as a New Alternative to Corrosion-Resistant Alloys For Marine Applications." In SNAME 28th Offshore Symposium. SNAME, 2023. http://dx.doi.org/10.5957/tos-2023-020.

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A recent paradigm shift in physical metallurgy has enabled the exploration of multi-principal element alloys (MPEAs) or high entropy alloys (HEAs) with as-yet-unknown superior properties which have turned attractive to various engineering applications and industry sectors. In particular, the O&G industry, on daily basis, faces technical challenges to overcome the deleterious effects of corrosion processes affecting critical infrastructure such as pipeline networks, refineries, subsea equipment, etc. The purpose of this work is to briefly review some key aspects of this new type of material as an alternative to the existing conventional alloys widely used by the shipbuilding and energy industries including the O&G sector. The review begins with some generalities about the future tendency of the steel-consuming industry and the growing dependency on metallic alloys despite the rising of emerging technologies in the area of manufacturing and smart materials which seek to be substitute goods. Then, a short summary of corrosion processes and some protection methods used by the industry are discussed. Finally, a succinct comparative analysis between HEAs and conventional steel alloys is carried out by highlighting the pros and cons of these latest technological advances in corrosion-resistant alloy development based on the multi-principal element alloy principle.
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Frankel, Gerald, Christopher Taylor, Yehia Khalifa, and Anup Panindre. "Corrosion of single-phase Ni-Fe-Cr-Mo-W-X non-equimolar multi-principal element alloys." In 1st Corrosion and Materials Degradation Web Conference. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/cmdwc2021-09922.

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Han, Junsoo, Pin Lu, James Saal, Gerald Frankel, Kevin Ogle, and John Scully. "Refining anodic and cathodic dissolution mechanisms of the multi-principal element alloys using atomic emission spectroelectrochemistry coupled with electrochemical impedance spectroscopy." In 1st Corrosion and Materials Degradation Web Conference. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/cmdwc2021-09920.

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Gerdt, L., M. Müller, M. Heidowitzsch, J. Kaspar, E. Lopez, M. Zimmermann, C. Leyens, A. Hilhorst, and P. J. Jacques. "Alloy Design of Feedstock Material for Additive Manufacturing—Exploring the Al-Co-Cr-Fe-Ni-Ti Compositionally Complex Alloys." In ITSC 2023. ASM International, 2023. http://dx.doi.org/10.31399/asm.cp.itsc2023p0414.

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Abstract The need for sustainable use of resources requires continuous improvement in the energy efficiency and development of new approaches to the design and processing of suitable materials. The concept of high entropy alloys (HEAs) has recently been extended to more general compositional complex alloys (CCAs) and multi-principal element alloys (MPEAs). One of the major challenges on the way to application of these alloys is the extensive design and selection efforts due to the great variety of possible compositions and its consequences for workability and resulting material properties. The favorable high-temperature strength of Ni-based and Co-based superalloys is ascribed to a defined γ/γ’ structure consisting of a disordered FCC A1 matrix and ordered L12 γ’ precipitates. In the current work we extended this design concept to CCAs, allowing disordered BCC A2 and ordered B2 phases in additions or in substitution of the original γ/γ’ structure. We used a high-throughput screening approach combining CALPHAD-based computational tools with in situ alloying by means of laser cladding. Wall-type specimens with gradient composition in the system Al-Co-Cr-Fe-Ni-Ti with varying Al, Ti and Cr content were analyzed. The combined modelling and experimental screening approach was demonstrated to be a powerful tool for designing new high performance AM-ready feedstock.
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Demers, Sébastien, Abdel-Hakim Bouzid, and Sylvie Nadeau. "Analytical and Finite Element Multi-Shell Modelling of an Intervertebral Disc." In ASME 2012 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/pvp2012-78194.

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The objective of this study is to develop an analytical model of an intervertebral disc capable of predicting stresses and deformations in the anulus fibrosus. The anulus fibrosus is treated as a multi-shell structure for which membrane theory applies and the junction with the end plates assumed rigid is treated with beam on elastic foundation theory. The displacements and stresses of the anulus fibrosus, when the disc is subjected to a compressive force are investigated. The discontinuity stresses are superimposed to those of the membrane stresses to estimate the stress state of the anulus fibrosus. The analytical results are compared to those of a finite element model for validation. The analytical and the finite element models show the same general trend, but their relative difference in estimating the stresses is rather high. However, both models show that the highest circumferential stress is located on the innermost lamella at the transverse plane. Furthermore, the stresses decrease through the disc thickness and at the vicinity of the endplates. These results allow to indicate, analytically, the location for maximal principal stresses in the anulus fibrosus.
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Ang, Andrew S. M., Christopher C. Berndt, Mitchell L. Sesso, Ameey Anupam, Praveen S. Ravi Sankar Kottada, and B. S. Murty. "Comparison of Plasma Sprayed High Entropy Alloys with Conventional Bond Coat Materials." In ITSC2015, edited by A. Agarwal, G. Bolelli, A. Concustell, Y. C. Lau, A. McDonald, F. L. Toma, E. Turunen, and C. A. Widener. ASM International, 2015. http://dx.doi.org/10.31399/asm.cp.itsc2015p0027.

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Abstract High Entropy Alloys (HEAs) are a new class of alloys with multi-principle elements in an equi-atomic ratio that present novel phase structures. HEAs are known for their high temperature microstructural stability, enhanced oxidation and wear resistance properties. Apart from bulk material consolidation methods such as casting and sintering, HEAs can also be deposited as a surface coating. In this work, thermal sprayed HEA coatings are investigated as an alternative bond coat material for a thermal barrier coating system. Nanostructured HEAs that were based on AlCoCrFeNi and MnCoCrFeNi were prepared by ball milling and then plasma sprayed. Splat studies were assessed to optimize the appropriate thermal spray parameters and spray deposits were prepared. Subsequently, the microstructure and mechanical properties of two HEAs coatings of different composition were characterized and compared to conventional plasma spray NiCrAlY bond coats.
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Brown, Jeffrey M., Alex A. Kaszynski, Daniel L. Gillaugh, Emily B. Carper, and Joseph A. Beck. "Gaussian Stochastic Process Modeling of Blend Repaired Airfoil Modal Response Using Reduced Basis Mode Shape Approach." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-60238.

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Abstract A machine learning (ML) approach is developed to predict the effect of blend repairs on airfoil frequency, modal assurance criterion (MAC), and modal displacement vectors. The method is demonstrated on a transonic research rig compressor rotor airfoil. A parametric definition of blend geometry is developed and shown to be capable of encompassing a large range of blend geometry. This blend repair geometry is used to modify the airfoil surface definition and a mesh morphing process transforms the nominal finite element model (FEM) to the repaired configuration. A multi-level full factorial sampling of the blend repair design space provides training data to a Guassian stochastic process (GSP) regressor. The frequency and MAC results create a vector of training data for GSP calibration, but the airfoil mode shapes require further mathematical manipulation to avoid creating GSP models for each nodal displacement. This paper develops a method to significantly reduce blended airfoil mode shape emulation cost by transforming the mode shape training data into a reduced basis space using principal component analysis (PCA). The coefficients of this reduced basis are used to train a GSP that can then predict the values for new blended airfoils. The emulated coefficients are used with the reduced basis vectors in a reconstruction of blended airfoil mode shape. Validation data is computed at a full-factorial design that maximizes the distance from training points. It is found that large variations in modal properties from large blend repairs can be accurately emulated with a reasonable number of training points. The reduced basis approach of mode shape variation is shown to more accurately predict MAC variation when compared to direct MAC emulation. The added benefit of having the full modal displacement field also allows determination of other influences such as tip-timing limits and modal force values.
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Reports on the topic "Multi principal element alloys"

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Sharma, Aayush. Multi-principal element alloys: Design, properties and heuristic explorations. Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1593312.

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