Article
Materials Science, Multidisciplinary
Liangzhao Huang, Kan Ma, Lisa T. Belkacemi, Marie Loyer-Prost, Estelle Meslin, Elin Toijer, Luca Messina, Christophe Domain, Julien Vidal, Maylise Nastar
Summary: A systematic atom probe tomography study was conducted on dilute Fe-Ni and Ni-Ti model alloys to investigate radiation-induced segregation (RIS). The study revealed fluctuations in solute local concentration and the influence of dislocation loop population size and density on these fluctuations. Additionally, the impact of post-treatment parameters on the extracted segregation profiles was highlighted.
Article
Materials Science, Multidisciplinary
Lei Wang, Reza Darvishi Kamachali
Summary: This research utilized a density-based model to calculate multi-component grain boundary phase diagrams and studied the Fe-Mn-Cr, Fe-Mn-Ni, Fe-Mn-Co, Fe-Cr-Ni, and Fe-Cr-Co alloy systems. The study found that despite solute segregation enrichment, a grain boundary may have a lower solubility limit than the bulk, promoting interfacial chemical decomposition.
Article
Nanoscience & Nanotechnology
Hamdy Arkoub, Miaomiao Jin
Summary: Chemical short-range order (CSRO), a nanoscale atomic feature, has been shown to significantly affect defect properties and radiation behavior in Fe-Ni-Cr alloys. Molecular dynamics simulations reveal that random solutions, characterized by negative stacking fault energy, exhibit the strongest diffusion tendency, while high CSRO degrees reduce defect diffusivity due to trapping effects. In high-CSRO scenarios, interstitial clusters become Cr-rich and interstitial loops prefer Cr-rich CSRO domains. CSRO dynamically evolves during irradiation and reaches a steady-state value. These findings emphasize the importance of considering CSRO when investigating radiation-driven microstructural evolution.
SCRIPTA MATERIALIA
(2023)
Article
Chemistry, Physical
Hongquan Song, Qianjin Ma, Wei Zhang, Fuyang Tian
Summary: In this study, the phonon density of states and thermodynamic properties of Co-Cr-Fe-Mn-Ni high-entropy alloys with vacancies were investigated using the first-principles method. It was found that the atomic radius, dependent on the local chemical environment, is related to phonon information and vibrational entropy. Vacancies were observed to increase vibrational entropy and heat capacity.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Materials Science, Multidisciplinary
Aashique A. Rezwan, Daniel Schwen, Yongfeng Zhang
Summary: This study presents a modeling investigation on concurrent grain growth and radiation-induced segregation (RIS) in austenitic Fe-Cr-Ni. The results show that grain growth significantly affects RIS in terms of increasing grain size and motion of grain boundaries as defect sinks. Additionally, RIS in nanocrystalline materials induces grain-level compositional redistribution, resulting in grain-size-dependent compositions in individual grains. These findings highlight the different effects of RIS in nanocrystalline alloys compared to coarse-grained counterparts.
JOURNAL OF NUCLEAR MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Pei Zhang, Xianjun Yang, Yong Wang, Shudong Huang, Yonghong Xu, Hui Song
Summary: The electrical resistivity and microstructure of Ni-Cr-Al-Fe precision resistance alloy were investigated in relation to aging temperature. The results showed that the aging temperature affected the formation and composition of the L12 ordered structure. With increasing aging temperature, the composition of the ordered clusters differed from the matrix.
MATERIALS CHARACTERIZATION
(2022)
Article
Materials Science, Multidisciplinary
Zhen-Bao Liu, Bo-Ning Zhang, Gang Sha, Shen-Bao Jin, Zhi-Yong Yang, Jian-Xiong Liang, Zhi-Ling Tian
Summary: High addition of cobalt in Fe-Cr-Co-Mo-Ni-C steel significantly promotes multiple precipitation of Mo-rich intermetallic compounds, carbides, and alpha'-Cr, resulting in exceptional hardening effect at 540 degrees C. However, the variation of cobalt content has little influence on the solubility of Mo and equilibrium fraction of Mo-rich phases.
Article
Engineering, Mechanical
Le Li, Zhenghao Chen, Koretaka Yuge, Kyosuke Kishida, Haruyuki Inui, Martin Heilmaier, Easo P. George
Summary: The plastic deformation behavior of equiatomic Cr-Fe-Co-Ni medium-entropy alloy was investigated through compression and tension experiments. The critical resolved shear stress (CRSS) for {111}<1((1)over bar)0> slip was found to be 44-45 MPa at room temperature without significant tension-compression asymmetry. The CRSS increased rapidly with decreasing temperature, but the temperature dependence dulled below 77 K due to the inertia effect. The 0 K CRSS was determined to be 200 MPa, higher than Cr-Mn-Fe-Co-Ni high-entropy alloy but lower than Cr-Co-Ni medium-entropy alloy.
INTERNATIONAL JOURNAL OF PLASTICITY
(2023)
Article
Materials Science, Multidisciplinary
Wenhao Pan, Huabei Peng, Yangyang Du, Jie Chen, Jiazhen Yan, Yuhua Wen
Summary: This study investigated the microstructures and shape memory effect (SME) of cast Fe-Mn-Si-CrNi alloys with four solidification modes. Ferritic-austenitic and ferritic modes introduced more stacking faults, reducing stress-induced critical martensite stress. Thus, the former solidification modes displayed better SME than the latter solidification modes.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Materials Science, Multidisciplinary
Ali Shafiei
Summary: A new method was proposed to predict the compositions of EHEAs in the Al-Co-Cr-Fe-Ni system, by designing new eutectic or near-eutectic alloys through mixing alloys located on the same eutectic line. Compositional maps were created to show the relations between constituent elements in eutectic alloys, suggesting that EHEAs are derived from binary and ternary eutectic alloys. The proposed diagrams can be considered as convenient methods for evaluating the composition of EHEAs in the Al-Co-Cr-Fe-Ni system.
METALS AND MATERIALS INTERNATIONAL
(2021)
Article
Chemistry, Physical
Rafal Babilas, Katarzyna Mlynarek-Zak, Adrian Radon, Wojciech Lonski, Mariola Kadziolka-Gawel, Tymon Warski, Darya Rudomilova, Edyta Wyszkowska, Lukasz Kurpaska
Summary: This study utilized thermodynamic approach to design and study new complex compositional Al-Ni-Fe(Cr,Cu) alloys based on aluminum. The objective was to understand microstructure changes during rapid solidification process and evaluate the anticorrosion and nanomechanical properties of the developed alloys. Prediction of chemical composition was done by optimizing thermodynamic parameters like configurational entropy and Gibbs free energy. Two cooling methods were used, slow cooling for ingots and fast cooling using high-pressure die-casting method for plates. Quasicrystalline decagonal phase D-Al71Ni24Fe5 was found in Al72Ni24Fe4 alloy along with crystalline phases Al3Ni, Al3Ni2, and Al9Ni1.3Fe0.7. Al72Ni24Fe2.5Cr1.5 alloy showed the best electrochemical parameters. Local galvanic microcells were formed due to large potential differences (>50 mV) between Al-Ni and Al-Ni-Fe phases in the studied alloys. Al72Ni24Fe4 alloy showed the highest average indentation hardness values of 9.98 ± 1.75 GPa after normal and rapid solidification. Al72Ni24Cr1.5Fe2.5 alloy exhibited higher ductility compared to Al72Ni24Fe4 and Al72Ni24Cu1.5Fe2.5 alloys, as confirmed by the lowest average hardness and Young's modulus values.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Nanoscience & Nanotechnology
Sebastian Lech, Wojciech Polkowski, Adelajda Polkowska, Grzegorz Cempura, Adam Kruk
Summary: The study of Ni-Fe-Cr-Al alloy revealed the presence of three different phases in the discontinuous precipitation zone, as well as discussed the development of multiple discontinuous reactions.
SCRIPTA MATERIALIA
(2021)
Article
Nanoscience & Nanotechnology
Jian Sun, Shanping Lu
Summary: The precipitation and mechanical behavior of a novel Fe-Cr-Ni-Mo weld metal containing different V contents in as-welded and post-weld heat treatment conditions were investigated. It was found that the dislocation density significantly increased with an increase in V content in the post-weld heat treatment weld metal. The strengthening contributions were mainly attributed to precipitation strengthening and dislocation strengthening for post-weld heat treatment weld metals containing V.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Chemistry, Physical
Pavel Lukashev, Zachary Lehmann, Lukas Stuelke, Randall Filippone, Bishnu Dahal, Shah Valloppilly, Jace Waybright, Arjun K. Pathak, Yung Huh, Paul M. Shand, Parashu Kharel
Summary: This study investigates the effect of atomic disorder on the properties of Ti2MnAl Heusler alloy. Different types of disorder have varying impacts on the spin-polarization and magnetism of the alloy. A2 and B2 disorder types in the inverted cubic phase show higher spin-polarization, while D0(3) disorder has a smaller effect.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Nanoscience & Nanotechnology
C. Ren, K. Sun, Y. F. Jia, N. Z. Zhang, Y. D. Jia, G. Wang
Summary: The study examined the microstructural evolution and mechanical properties of (FeNi)67Cr15Mn10-xAl4Ti4Mox high entropy alloys. It was found that the substitution of Mn by Mo introduced hard a precipitates into the matrix and significantly refined the grains, leading to the increase in yield strength. However, the formation of the hard a precipitates hindered the work hardening process and decreased the plasticity, resulting in a decrease in elongation at break. The highest ultimate tensile stress was obtained at x = 4, where the fracture morphology changed from a coarse grain morphology to a typical brittle fracture. Therefore, (FeNi)67Cr15Mn6Al4Ti4Mo4 showed the optimal mechanical properties overall.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2023)
Article
Chemistry, Physical
Gaurav Arora, Dilpuneet S. Aidhy
JOURNAL OF MATERIALS CHEMISTRY A
(2017)
Article
Materials Science, Multidisciplinary
Gaurav Arora, Dilpuneet S. Aidhy
Article
Nanoscience & Nanotechnology
Ashish Kumar Gupta, Gaurav Arora, Dilpuneet S. Aidhy, Ritesh Sachan
ACS APPLIED MATERIALS & INTERFACES
(2020)
Article
Materials Science, Multidisciplinary
Anus Manzoor, Gaurav Arora, Bryant Jerome, Nathan Linton, Bailey Norman, Dilpuneet S. Aidhy
Summary: Multi-principal element alloys consist of many principal elements randomly distributed on a crystal lattice, leading to large variations in point defect formation and migration energies. A machine learning framework is used to predict defect energies in these alloys based on a database of constituent binary alloys, enabling the design of alloys with tailored defect properties.
FRONTIERS IN MATERIALS
(2021)
Article
Physics, Applied
Gaurav Arora, Anus Manzoor, Dilpuneet S. S. Aidhy
Summary: A combination of high strength and high ductility has been observed in multi-principal element alloys due to twin formation attributed to low stacking fault energy (SFE). However, the understanding of composition-SFE correlations in these alloys is still limited. This study shows that dopant radius is not the only descriptor for SFE in dilute alloys, and highlights the importance of charge density as a central descriptor. The development of a machine learning model based on charge density also suggests its potential as a predictor for SFE in multi-elemental alloys.
JOURNAL OF APPLIED PHYSICS
(2022)
Article
Materials Science, Multidisciplinary
Gaurav Arora, Serveh Kamravab, Pejman Tahmasebib, Dilpuneet S. Aidhy
Summary: We developed a descriptor-less machine learning model based on charge density images extracted from DFT to predict stacking fault energies in concentrated alloys. The model utilizes convolutional neural networks as a promising technique for complex images and data, and avoids the need for traditional physical descriptors by utilizing electronic charge density. The model demonstrates high accuracy in predicting the stacking fault energies.
Article
Materials Science, Multidisciplinary
Gaurav Arora, Giovanni Bonny, Nicolas Castin, Dilpuneet S. Aidhy
Summary: Recent irradiation experiments have shown that smaller vacancy clusters are observed in Ni80Pd20 compared to Ni80Fe20. Atomistic calculations reveal that the vacancy energetics are significantly different between the two alloys, with Ni80Pd20 having lower vacancy migration barriers and lower vacancy-vacancy binding energies than Ni80Fe20. This leads to the observation of reduced vacancy clusters in Ni80Pd20 in molecular dynamics simulations, despite higher vacancy diffusivity, possibly due to longer Ni-Ni bond lengths and reduced vacancy vacancy binding energies in Ni80Pd20.
