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Journal articles on the topic 'Iron-based model alloys'

Author: Grafiati

Published: 3 June 2022

Last updated: 31 July 2025

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1

Sugano, R., K. Morishita, and A. Kimura. "Helium Accumulation Behavior in Iron Based Model Alloys." Fusion Science and Technology 44, no. 2 (2003): 446–49. http://dx.doi.org/10.13182/fst03-a375.

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2

Lech-Grega, Marzena, and Sonia Boczkal. "Iron Phases in Model Al-Mg-Si-Cu Alloys." Materials Science Forum 674 (February 2011): 135–40. http://dx.doi.org/10.4028/www.scientific.net/msf.674.135.

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Iron phases present in alloys from the 6xxx series affect the workability behaviour of these alloys. Iron in these alloys occurs in the form of intermetallic phases and AlFe, α-AlFeSi, β- AlFeSi eutectics. The homogenisation treatment is carried out to induce the transformation of  phase into phase The aim of the studies was EDX and EBSD analysis by scanning microscopy of iron phases present in model alloys based on 6061 system, characterised by the silicon-iron ratio Si/Fe=0,5 and 1, examined in as-cast condition and after homogenisation, followed by a comparison of the detected phases wi

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3

Servetnik, A. N. "A Walker-based mean strain correction models for low-cycle fatigue life prediction." Industrial laboratory. Diagnostics of materials 89, no. 1 (2023): 67–73. http://dx.doi.org/10.26896/1028-6861-2023-89-1-67-73.

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A Walker-based mean strain correction model of low-cycle fatigue (LFC) life prediction is proposed for high loaded parts. The model is based on a function depending on the strain range and strain ratio controlled in the strain-controlled LCF test of fatigue specimens and a constant reflecting the material sensitivity to strain ratio. The independence from the stress cycle parameters which can change during the strain-controlled LCF test is an obvious advantage of the model. The model was verified using the results of strain-controlled LCF tests of smooth titanium alloy Ti-6A1-4V ELI and iron-b

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4

Le, Cao Dang, Konstanchin D. Savelyev, and Valeri Mikhailovich Golod. "Structure Diagnostic of Iron-Based Out-of-Peritectic Alloys during Nonequilibrium Crystallization." Key Engineering Materials 822 (September 2019): 3–10. http://dx.doi.org/10.4028/www.scientific.net/kem.822.3.

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The effect of the contribution of basic components (silicon, manganese, chromium, and nickel) in multicomponent iron-based alloys on critical point position of the peritectic reaction was studied by using the POLYTHERM software package. Obtained temperature and concentration values of critical points of peritectic transformation, depending on the content of iron-based alloy components (Si, Mn, Cr, Ni) were used to build summary equations, represented the change in temperature and concentration of critical points by variation of binary, ternary and quaternary alloy composition. Investigation of

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5

Marukovich, E. I., V. Yu Stetsenko, and A. V. Stetsenko. "On carbon distribution in austenite Fe‑C alloys." Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY), no. 2 (May 31, 2022): 23–25. http://dx.doi.org/10.21122/1683-6065-2022-2-23-25.

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Based on the calculations of the model of the elementary crystal cell γ‑iron, it is shown that carbon ions cannot be present in its open pores. Carbon in Fe‑C alloys dissolves and distributes mainly as elementary graphite nanocrystals. In steel austenite, carbon is found in elementary graphite nanocrystals and in iron‑carbon complexes. In cast iron austenite, carbon is found in elementary graphite nanocrystals.

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6

Taylor, Christopher D. "Cohesive Relations for Surface Atoms in the Iron-Technetium Binary System." Journal of Metallurgy 2011 (October 16, 2011): 1–8. http://dx.doi.org/10.1155/2011/954170.

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Iron-technetium alloys are of relevance to the development of waste forms for disposition of radioactive technetium-99 obtained from spent nuclear fuel. Corrosion of candidate waste forms is a function of the local cohesive energy () of surface atoms. A theoretical model for calculating is developed. Density functional theory was used to construct a modified embedded atom (MEAM) potential for iron-technetium. Materials properties determined for the iron-technetium system were in good agreement with the literature. To explore the relationship between local structure and corrosion, MEAM simulati

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7

Kumar Singla, Yogesh, DK Dwivedi, and Navneet Arora. "Modeling the impact–sliding wear characteristics of rare earth additive iron-based hardfacing alloys." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 231, no. 11 (2017): 1486–99. http://dx.doi.org/10.1177/1350650117699302.

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This paper presents a systematic study of the effect of the cerium oxide content on the mechanical, microstructural and tribological properties of iron-based alloys. The results indicate that the microstructure of the hardfaced alloys is mainly composed of austenite, MC and M7C3 carbides. The primary austenite grain size was refined at first and then coarsened with the increase of the rare earth oxide additions. Meanwhile, the hardness of the hardfacing alloy was also increased. The increased area fraction of carbides was found to be beneficial for enhanced wear resistance. A statistical regre

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8

Fourlakidis, Vasilios, Ilia Belov, and Attila Diószegi. "Strength Prediction for Pearlitic Lamellar Graphite Iron: Model Validation." Metals 8, no. 9 (2018): 684. http://dx.doi.org/10.3390/met8090684.

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The present work provides validation of the ultimate tensile strength computational models, based on full-scale lamellar graphite iron casting process simulation, against previously obtained experimental data. Microstructure models have been combined with modified Griffith and Hall–Petch equations, and incorporated into casting simulation software, to enable the strength prediction for four pearlitic lamellar cast iron alloys with various carbon contents. The results show that the developed models can be successfully applied within the strength prediction methodology along with the simulation

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9

Atulasimha, Jayasimha, Alison B. Flatau, and Eric Summers. "Characterization and energy-based model of the magnetomechanical behavior of polycrystalline iron–gallium alloys." Smart Materials and Structures 16, no. 4 (2007): 1265–76. http://dx.doi.org/10.1088/0964-1726/16/4/039.

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10

Svyatkin, A. V., and G. V. Kostin. "Universal model for predicting the phase composition of multicomponent brasses based on chemical analysis data." Frontier materials & technologies, no. 4 (2024): 87–95. https://doi.org/10.18323/2782-4039-2024-4-70-8.

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When developing technical requirements for alloys, it is important to apply an integrated approach. Combining analytical and simulation modelling, it is possible to reduce technological risks at the stage of creating or modifying requirements. The implementation of this approach directly depends on the degree of consideration of all factors included in the models, as well as on their influence on the variability of characteristics. However, known models do not provide satisfactory convergence with real industrial alloys. Using the example of a complex-alloyed CuZn13Mn8Al5Si2Fe1Pb brass, an app

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11

Mincheva, Desislava Yordanova, and Georgi Stefanov Antonov. "Artificial neural network (ANN) approach to predicting micro hardness profile values of iron-based sintered alloys." ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA 1, no. 1 (2017): 1–5. http://dx.doi.org/10.29114/ajtuv.vol1.iss1.23.

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Recent interest in artificial neural networks has considerably extended their use in the field of powder metallurgy. Advanced in the paper is a model for predicting the micro hardness of sintered compacts made from iron powders and powder mixtures through the process of sintering performed in different atmospheres. The proposed model is based on three layer neural network with backpropagation learning algorithm. Specially developed software has been used to provide for the proper functioning of the neural network. Moreover, it should also be noted that the training data used to carry out the r

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12

Kamada, Y., J. N. Mohapatra, H. Kikuchi, S. Kobayashi, T. Murakami, and H. Watanabe. "Neutron Irradiation Effects on Mechanical and Magnetic Properties of Pre-deformed Iron-based Model Alloys." Journal of the Magnetics Society of Japan 37, no. 3-2 (2013): 147–50. http://dx.doi.org/10.3379/msjmag.1301r008.

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13

Chen, Haipeng, Lihua Gao, Wenlong Zhan, Zhijun He, and Junhong Zhang. "Application of the Molecular Interaction Volume Model for Calculating Activities of Elements in Ferromanganese Alloys: Mn-C, Mn-Fe, Fe-C, and Mn-Fe-C Systems." Crystals 12, no. 5 (2022): 682. http://dx.doi.org/10.3390/cryst12050682.

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The molecular interaction volume model (MIVM) developed by Tao is a fluid-based model derived from statistical thermodynamics and fluid phase equilibria. The MIVM was applied successfully to predict each element’s activity in Mn-based alloys, namely, Mn-C Mn-Fe, and Mn-Fe-C systems. The MIVM calculated binary parameters between metals (Fe, Mn) and nonmetal (C) in Mn-Fe-C alloys, confirming a strong interaction between Fe and Mn in Mn-Fe-C alloy. The MIVM indicated that iron has a great influence on the activity of Mn and little effect on the activity of carbon. A significant advantage of MIVM

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14

Bhandari, Uttam, Yehong Chen, Huan Ding, et al. "Machine-Learning-Based Thermal Conductivity Prediction for Additively Manufactured Alloys." Journal of Manufacturing and Materials Processing 7, no. 5 (2023): 160. http://dx.doi.org/10.3390/jmmp7050160.

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Thermal conductivity (TC) is greatly influenced by the working temperature, microstructures, thermal processing (heat treatment) history and the composition of alloys. Due to computational costs and lengthy experimental procedures, obtaining the thermal conductivity for novel alloys, particularly parts made with additive manufacturing, is difficult and it is almost impossible to optimize the compositional space for an absolute targeted value of thermal conductivity. To address these difficulties, a machine learning method is explored to predict the TC of additive manufactured alloys. To accomp

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15

Fraś, E., K. Wiencek, M. Górny, and H. F. López. "Nodule count in ductile iron: theoretical model based on Weibull statistics." International Journal of Cast Metals Research 18, no. 3 (2005): 156–62. http://dx.doi.org/10.1179/136404605225023009.

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16

Dolatabadi, Neda, Moslem Shahverdi, Mehdi Ghassemieh, and Masoud Motavalli. "RC Structures Strengthened by an Iron-Based Shape Memory Alloy Embedded in a Shotcrete Layer—Nonlinear Finite Element Modeling." Materials 13, no. 23 (2020): 5504. http://dx.doi.org/10.3390/ma13235504.

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Shape memory alloys (SMAs) have been widely used in civil engineering applications including active and passive control of structures, sensors and actuators and strengthening of reinforced concrete (RC) structures owing to unique features such as the shape memory effect and pseudo-elasticity. Iron-based shape memory alloys (Fe-SMAs) have become popular in recent years. Use of iron-based SMAs for strengthening RC structures has received attention in the recent decade due to the advantages it presents, that is, no ducts or anchor heads are required, friction losses do not occur and no space is n

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17

Evstyukhina, I. A., V. P. Kolotushkin, V. Yu Miloserdin, et al. "Use of nuclear physics methods for investigation of short-range ordering and defects in iron based simulatuing alloys." Journal of Mining and Metallurgy, Section B: Metallurgy 56, no. 1 (2020): 135–41. http://dx.doi.org/10.2298/jmmb190624002e.

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The changes of short range ordering and electron density were investigated by means of the nuclear gamma-resonance and the positron annihilation spectroscopies in model alloys containing tungsten, chromium, molybdenum, and vanadium used as dopants. The change of the short-range ordering parameter sign was detected in alloys containing vanadium. Different ordering was also observed in binary and ternary iron alloys. It was shown that dislocations were the main defects in these materials after rolling.

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18

Gokhman, Aleksandr R., F. Bergner, Andreas Ulbricht, and Uwe Birkenheuer. "Cluster Dynamics Simulation of Reactor Pressure Vessel Steels under Irradiation." Defect and Diffusion Forum 277 (April 2008): 75–80. http://dx.doi.org/10.4028/www.scientific.net/ddf.277.75.

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The coupling between copper rich precipitates (CRP) and point defects in neutron irradiated iron alloys and VVER steels was investigated by means of cluster dynamics (CD) simulations. The consideration of the strain energy effect on CRP kinetics as well as the application of the regular solution model for the case of different fixed copper contents of CRP provides a good agreement between the simulation results and experimental data for complex iron based alloys with small (0.015 wt%) and high (0.42 wt%) copper content. It was found that the CD simulation is applicable to irradiated VVER steel

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19

Kadhim, Ali K. "Calculation of Gibbs Free Energy of Iron Based Alloys Using Miedema's Model and Comparison with Experiment." Materials Science Forum 1121 (May 14, 2024): 165–74. http://dx.doi.org/10.4028/p-6ykus2.

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The utilization of the Miedema semi-empirical model has proven to be an effective approach for the estimation of Gibbs free energy in solid solutions within binary and ternary systems. Research findings indicate that in systems such as FeAl, FeMn, FeB, FeV, FeGa, AlMn, AlGa, and AlV, the Gibbs free energy exhibits highly negative values. Conversely, systems FeSn, AlB, and AlSn demonstrate positive Gibbs free energy values, with the most negative observing at a molar fraction of 50% for Fe. These results have been corroborated through studies involving the mechanosynthesis of binary and ternary

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20

Bolʼshov, L. A., S. K. Korneichuk, and E. L. Bolʼshova. "Wagner interaction coefficient between nitrogen and cobalt in liquid steel." Izvestiya. Ferrous Metallurgy 66, no. 5 (2023): 610–12. http://dx.doi.org/10.17073/0368-0797-2023-5-610-612.

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A simple theory of thermodynamic properties of liquid nitrogen solutions in Fe – Co alloys is proposed. This theory is completely analogous to the theory for liquid nitrogen solutions in alloys of the Fe – Cr system proposed previously by the authors in 2019. The theory is based on lattice model of the Fe – Co solutions. The model assumes FCC lattice. In the sites of this lattice are the atoms of Fe and Co. Nitrogen atoms are located in octahedral interstices. The nitrogen atom interacts only with the metal atoms located in the lattice sites neighboring to it. This interaction is pairwise. It

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21

Ol’shanetskii, V., L. Stepanova, Yu Kononenko, and А. Skrebtsov. "ON THE INTERACTION OF ALLOYING ELEMENTS WITH GRAIN BOUNDARIES OF HIGH-PURITY NICKEL AND IRON." Innovative Materials and Technologies in Metallurgy and Mechanical Engineering, no. 2 (January 9, 2023): 19–23. http://dx.doi.org/10.15588/1607-6885-2022-2-3.

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Purpose. Proof of the reality of the effect of displacement of some microadditives from the internal boundaries of the grains into their internal volumes for reasons of purely thermodynamic concepts. Research methods. The initial data were specially selected chemical compositions of model alloys based on high-purity nickel and iron, which are microalloyed with yttrium, lanthanum, zirconium and rhenium. The choice of nickel and iron as the basis for the alloys under study is due to the fact that they are the base for a large group of industrial alloys (heat-resistant nickel materials and

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22

Konieczny, Robert, Rafał Idczak, and Jan Chojcan. "Interactions between osmium atoms dissolved in iron observed by the 57Fe Mössbauer spectroscopy." Nukleonika 60, no. 1 (2015): 75–79. http://dx.doi.org/10.1515/nuka-2015-0016.

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Abstract The room temperature 57Fe Mössbauer spectra for binary iron-based solid solutions Fe1−xOsx, with x in the range 0.01 ≤ x ≤ 0.05, were analyzed in terms of binding energy Eb between two Os atoms in the Fe-Os system. The extrapolated values of Eb for x = 0 were used for computation of enthalpy of solution of osmium in iron. The result was compared with that resulting from the cellular atomic model of alloys by Miedema. The comparison shows that our findings are in qualitative agreement with the Miedema's model predictions.

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23

Konieczny, Robert, and Rafał Idczak. "Atomic short-range order in mechanically synthesized iron based Fe-Zn alloys studied by 57Fe Mössbauer spectroscopy." Nukleonika 60, no. 1 (2015): 69–73. http://dx.doi.org/10.1515/nuka-2015-0017.

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Abstract Mechanical alloying method was applied to prepare nanocrystalline iron-based Fe1−xZnx solid solutions with x in the range 0.01 ≤ x ≤ 0.05. The structural properties of the materials were investigated with the Mössbauer spectroscopy by measuring the room temperature spectra of 57Fe for as-obtained and annealed samples. The spectra were analyzed in terms of parameters of their components related to unlike surroundings of the iron probes, determined by different numbers of zinc atoms existing in the neighborhood of iron atoms. The obtained results gave clear evidence that after annealing

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Cui, Zeqian, Aimin Yang, Lijing Wang, and Yang Han. "Dynamic Prediction Model of Silicon Content in Molten Iron Based on Comprehensive Characterization of Furnace Temperature." Metals 12, no. 9 (2022): 1403. http://dx.doi.org/10.3390/met12091403.

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The silicon content of the molten iron is an important indicator of the furnace temperature trend in blast furnace smelting. In view of the multi-scale, non-linear, large time lag and strong coupling characteristics of the blast furnace smelting process, a dynamic prediction model for the silicon content of molten iron is established based on the analysis of comprehensive furnace temperature characterization data. The isolated forest algorithm is used to detect anomalies and analyze the causes of the anomalies in conjunction with the blast furnace mechanism. The maximum correlation-minimum red

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Deng, Yong, Ran Liu, Tao Li, Ke-xin Jiao, Sai Meng, and Zi-yu Guo. "The quantitative model of hearth activity based on data mining and characteristics of deadman." Metallurgical Research & Technology 120, no. 1 (2023): 110. http://dx.doi.org/10.1051/metal/2023002.

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In order to obtain the quantitative model of hearth activity, the key control parameters of hearth activity were mined based on big data technology, the distribution characteristics of slag-iron-coke in deadman and the change of voidage in deadman were analyzed, and then the quantitative model of hearth activity was constructed. The results show that a temperature ratio was selected as the characterization parameter of hearth activity combined with some manifestations when the hearth activity became poor, through data sensitivity analysis. Blast speed, average particle size of coke, binary bas

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26

Holst, Anja, Stefan Kante, Andreas Leineweber, and Anja Buchwalder. "Mechanism of Layer Formation during Gas Nitriding of Remelted Ledeburitic Surface Layers on Unalloyed Cast Irons." Metals 13, no. 1 (2023): 156. http://dx.doi.org/10.3390/met13010156.

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Unalloyed cast iron materials exhibit low tribological and corrosive resistance. In this respect, nitriding has a wide range of applications for steels. In the case of cast iron, the advantageous properties of nitrided layers are impaired by the presence of graphite. Electron beam remelting of cast iron surfaces prior to nitriding removes graphite. The homogeneous ledeburitic microstructure within the approx. 1 mm-thick remelted layer enables the formation of a dense compound layer during subsequent nitriding. The main objective of this study is to investigate the nitriding mechanism of unallo

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27

Yakout, Mostafa, M. A. Elbestawi, and Stephen C. Veldhuis. "A Review of Metal Additive Manufacturing Technologies." Solid State Phenomena 278 (July 2018): 1–14. http://dx.doi.org/10.4028/www.scientific.net/ssp.278.1.

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Additive manufacturing is a layer based manufacturing process aimed at producing parts directly from a 3D model. This paper provides a review of key technologies for metal additive manufacturing. It focuses on the effect of important process parameters on the microstructure and mechanical properties of the resulting part. Several materials are considered including aerospace alloys such as titanium (TiAl6V4 “UNS R56400”), aluminum (AlSi10Mg “UNS A03600”), iron-and nickel-based alloys (stainless steel 316L “UNS S31603”, Inconel 718 “UNS N07718”, and Invar 36 FeNi36 “UNS K93600”).

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28

Belkacemi, L. T., E. Meslin, J.-P. Crocombette, B. Radiguet, F. Leprêtre, and B. Décamps. "Striking effect of solute elements (Mn, Ni) on radiation-induced segregation/precipitation in iron-based model alloys." Journal of Nuclear Materials 548 (May 2021): 152807. http://dx.doi.org/10.1016/j.jnucmat.2021.152807.

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29

Chen, Yu Zeng, Andreas Herz, and Reiner Kirchheim. "Grain Boundary Segregation of Carbon and Formation of Nanocrystalline Iron-Carbon Alloys by Ball Milling." Materials Science Forum 667-669 (December 2010): 265–70. http://dx.doi.org/10.4028/www.scientific.net/msf.667-669.265.

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Based on a novel defactants (defect acting agents) concept (R. Kirchheim, Acta Materialia 55 (2007) 5129 and 5139), a novel method of understanding and synthesizing NC material was proposed by introducing defactants (segregating solute atoms) into the materials to ease the formation of grain boundaries (GBs) and enhance the formation ability of nanocrystalline (NC) structures. The iron-carbon system was chosen as a model system where carbon acts as the so-called defactant. Iron powders mixed with different amount of graphite were ball milled to prepare NC iron-carbon alloys with different carb

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Vinogradov, K. O., and A. L. Smyslova. "Smyslova Simulation modeling of logistic system for liquid iron transportation at metallurgical plant." Izvestiya. Ferrous Metallurgy 63, no. 1 (2020): 71–77. http://dx.doi.org/10.17073/0368-0797-2020-1-71-77.

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During the study of technological data of the process of liquid iron transportation, it was found that the number of locomotives and mixers depending on the duration of operations and especially on the inter-operational downtime does not always ensure normal rhythm of the main production. It leads to significant production losses, therefore, the work of the producing and transport complex is not effective enough. The authors have developed a simulation model of a logistics system for transporting liquid iron at a metallurgical plant. The study and construction of the model was performed using

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31

di Lorenzo, Gianmaria, Fabio Rizzo, Antonio Formisano, Raffaele Landolfo, and Antonio Guastaferro. "Corrosion Wastage Models for Steel Structures: Literature Review and a New Interpretative Formulation for Wrought Iron Alloys." Key Engineering Materials 813 (July 2019): 209–14. http://dx.doi.org/10.4028/www.scientific.net/kem.813.209.

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Damage due to atmospheric corrosion on metal structures is a significant aspect for both the design of new constructions and the maintenance of existing buildings. The paper discusses the corrosion depth trends for steel structures comparing an experimental campaign of measurements, given by Fratesi in 2002, with literature 2nd level models calibrated from experiments on immersed elements, literature models based on testing in atmosphere and standard codes (i.e. EN ISO 9224 and EN 12500). Results show a significant variability of values using different models and codes. In addition, the paper

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Martínek, Petr, Pavel Podaný, Ivana Poláková, and Jaroslav Tuček. "Rectifying Process Problems in Production of Thin Sheets of Special Alloys." Advanced Materials Research 739 (August 2013): 148–54. http://dx.doi.org/10.4028/www.scientific.net/amr.739.148.

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The paper deals with solutions to particular process problems in production of thin sheets of special nickel and iron-based alloys. Experiments were focused on trial operation of a new melting furnace, on hot rolling of feedstock from experimental heats and on fine-tuning hot and cold rolling processes with the aid of numerical modelling in DEFORM 3D software. The paper also gives description of results of FEM simulation of cold rolling of strips. A FEM model of the cold rolling process with front and back tension was developed. In order to describe the behaviour of nickel alloys in the FEM si

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Rybenko, I. A., and E. V. Protopopov. "Thermodynamic modeling of iron recovery processes." Izvestiya. Ferrous Metallurgy 64, no. 11 (2021): 825–31. http://dx.doi.org/10.17073/0368-0797-2021-11-825-831.

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One of the promising directions in metallurgy is the use of iron-containing waste, such as converter production sludge, iron-containing concentrates, rolling scale, iron ore processing waste and others. Development of new resource-saving technologies using such waste requires preliminary research and accumulation of information in the field of iron recovery. The paper considers the processes of iron recovery from oxides under various conditions. The authors used the method of thermodynamic modeling based on the search for the entropy maximum. The thermodynamic modeling tool was TERRA software

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Fourlakidis, Vasilios, Lucian Vasile Diaconu, and Attila Diószegi. "Strength Prediction of Lamellar Graphite Iron: From Griffith’s to Hall-Petch Modified Equation." Materials Science Forum 925 (June 2018): 272–79. http://dx.doi.org/10.4028/www.scientific.net/msf.925.272.

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Traditionally, ultimate tensile strength (UTS) is used as the main property for the characterization of lamellar graphite iron (LGI) alloys under static loads. The main models found in the literature for predicting UTS of pearlitic lamellar graphite iron are based on either regression analysis on experimental data or on modified Griffith or Hall-Petch equation.In pearlitic lamellar graphite iron the primary austenite dendritic network, transformed to pearlite, reinforces the bulk material while the distance between those pearlite grains, defines the maximum continuous defect size in the bulk m

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Pan, T. J., F. Gesmundo, and Y. Niu. "Corrosion behavior of three iron-based model alloys in reducing atmospheres containing HCl and H2S at 600°C." Corrosion Science 49, no. 3 (2007): 1362–77. http://dx.doi.org/10.1016/j.corsci.2006.06.014.

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36

Homolová, Viera, and Lucia Čiripová. "Experimental Investigation of Isothermal Section of the B-Cr-Fe Phase Diagram at 1353 K." Advances in Materials Science and Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/2703986.

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The isothermal section of the B-Cr-Fe ternary system was studied experimentally at 1353 K. X-ray diffraction and scanning electron microscopy equipped with EDX analyzer were used for determination of phase equilibria and composition of the coexisting phases in the B-Cr-Fe model alloys after long-term annealing (1500–2205 h). Two iron borides FeB and Fe2B, six chromium borides Cr2B, Cr5B3, CrB, Cr3B4, CrB2, and CrB4 and also iron and chromium solid solutions (α(Fe,Cr), α(Cr,Fe), γ(Fe,Cr)) and β-rhombohedral B were observed in the alloys. High solubilities of the third element in binary borides

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Ren, Xinying, Chaoyi Gao, Hanchen Wang, Shilong Feng, Tao Xue, and Aimin Yang. "Automatic Ore Blending Optimization Algorithm for Sintering Based on the Cartesian Product." Metals 12, no. 8 (2022): 1351. http://dx.doi.org/10.3390/met12081351.

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In actual sinter production, batching is a complex metallurgical and mathematical problem. Aiming at the problem of the precising batching of iron ore in the process of sintering batching, an automatic batching algorithm based on a Cartesian product to batch sinter was proposed for the first time. When the algorithm is applied to the sintering batching process, a complete batching scheme can be obtained, which can realize the organic combination with other calculation processes, can effectively save the manpower and material cost of sintering batching, and is of great significance to the compr

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Osakue, Edward, Lucky Anetor, and Kendall Harris. "Pitting strength estimate for cast iron and copper alloy materials." FME Transactions 49, no. 2 (2021): 269–79. http://dx.doi.org/10.5937/fme2102269o.

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An attempt is made to predict the pitting strength of cast iron and copper alloy materials from their compressive yield or compressive proof strength for a reliability of 99% at 107 load cycles. The compressive yield or compressive proof strength is related to the tensile strength of ductile cast iron and copper alloy materials by a proportionality factor. Two proportionality factors are used for brittle cast iron materials. The pitting strength formulation incorporates a nominal design factor at 99% reliability which is estimated from a probabilistic model based on the lognormal probability d

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Rachman, Dian Arif, and Muhamad Akrom. "Ensemble Learning Model in Predicting Corrosion Inhibition Capability of Pyridazine Compounds." Journal of Multiscale Materials Informatics 1, no. 1 (2024): 38–43. http://dx.doi.org/10.62411/jimat.v1i1.10502.

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Empirical studies of possible compound corrosion inhibitors require a lot of money, time, and resources. Therefore, we used a machine learning (ML) paradigm based on quantitative structure-property relationship (QSPR) models to evaluate ensemble algorithms as predictors of corrosion inhibition efficiency (CIE) values. Our investigation reveals that the gradient boosting (GB) regressor model outperforms other ensemble-based models. This advantage is evaluated objectively using the metrics root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2). In summary

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Okishev, K., E. Savushkina, V. Kulikov, et al. "KINETICS OF CONTINUOUS COOLING TRANSFORMATIONS OF AUSTENITE IN HIGH-CHROMIUM IRON ALLOYS." Bulletin of the South Ural State University Series ‘Metallurgy’ 22, no. 2 (2022): 23–33. http://dx.doi.org/10.14529/met220203.

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The work develops the models of two principal diffusional transformations in high-chromium iron alloys on continuous cooling, viz. precipitation of secondary carbides (Cr, Fe)7C3 from aus-tenite and pearlitic decomposition of the latter. Literature experimental data for alloys of various composi-tion were used for analysis. Chemical composition of austenite by the end of austenitizing holding was de-termined using previously developed models, and then the exact expression describing isothermal precipita-tion of carbides from supercooled austenite was found based on the general equation followi

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Burbelko, A. A., D. Gurgul, W. Kapturkiewicz, and M. Górny. "Modelling of Eutectic Saturation Influence on Microstructure in Thin Wall Ductile Iron Casting Using Cellular Automata." Archives of Foundry Engineering 12, no. 4 (2012): 11–16. http://dx.doi.org/10.2478/v10266-012-0100-3.

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Abstract The mathematical model of the globular eutectic solidification in 2D was designed. Proposed model is based on the Cellular Automaton Finite Differences (CA-FD) calculation method. Model has been used for studies of the primary austenite and of globular eutectic grains growth during the ductile iron solidification in the thin wall casting. Model takes into account, among other things, non-uniform temperature distribution in the casting wall cross-section, kinetics of the austenite and graphite grains nucleation, and non-equilibrium nature of the interphase boundary migration. Calculati

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Silvestru, Vlad‐Alexandru, Zhikang Deng, and Andreas Taras. "On predicting the behaviour of an iron‐based shape memory alloy with the Ramberg‐Osgood model." ce/papers 6, no. 3-4 (2023): 551–56. http://dx.doi.org/10.1002/cepa.2383.

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AbstractIron‐based shape memory alloys (Fe‐SMAs) exhibit the particular characteristic of remembering their initial shape after a phase transformation from austenitic to martensitic. This property, along with the high strength and ductility, recommends such materials for strengthening existing structures and designing highly efficient pre‐stressed structural elements. To achieve this, pre‐strained strips or rods made of Fe‐SMA are anchored to a parent structure in the first step. Afterwards, the activation of the Fe‐SMA is triggered through heating, and the material strives to return to its in

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Tian, Tielei, Jiayi Yang, Yanjun Liu, Yuzhu Zhang, Xinyu Jin, and Xinlin Kou. "Improved algorithm of extreme gradient boosting for predicting silicon content in large proportion pellet smelting process." Metallurgical Research & Technology 121, no. 2 (2024): 213. http://dx.doi.org/10.1051/metal/2024011.

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The silicon content in molten iron is an important indicator, to characterize the temperature of blast furnace (BF) and the quality of molten iron, which is of great significance to the stable operation of large proportion pellets in the BF smelting. Aiming at the problem of poor prediction performance and insufficient accuracy of silicon content, a prediction model of silicon content in molten iron was established based on KMeans++ and improved XGBoost algorithm to divide the information from different BF conditions in the smelting process, The genetic algorithm(GA) was adopted to optimize th

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Ma, Tingyu, Tao Wang, Jingwen Huang, et al. "Optimization of “Deoxidation Alloying” Batching Scheme." Studies in Engineering and Technology 7, no. 1 (2020): 14. http://dx.doi.org/10.11114/set.v7i1.4801.

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In this paper, a mathematical model was established to predict the deoxidation alloying and to optimize the type and quantity of input alloys. Firstly, the GCA method was used to obtain the main factors affecting the alloy yield of carbon and manganese based on the historical data. Secondly, the alloy yield was predicted by the stepwise MRA, the BP neural network and the regression SVM models, respectively. The conclusion is that the regression SVM model has the highest prediction accuracy and the maximum deviation between the test set prediction result and the real value was only 0.0682 and 0

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Lin, Mingxuan, and Ulrich Prahl. "A parallelized model for coupled phase field and crystal plasticity simulation." Computer Methods in Material Science 16, no. 3 (2016): 156–62. http://dx.doi.org/10.7494/cmms.2016.3.0584.

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The predictive simulation of materials with strong interaction between microstructural evolution and mechanical deformation requires the coupling of two or more multi-physics models. The coupling between phase-field method and various mechanical models have drawn growing interests. Here, we propose a coupled multi-phase-field and crystal plasticity model that respects the anisotropic mechanical behavior of crystalline materials. The difference of computational complexity and solver requirements between these models presents a challenging problem for coupling and parallelization. The proposed m

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Kujawińska, A., M. Rogalewicz, M. Diering, M. Piłacińska, A. Hamrol, and A. Kochańskib. "Assessment of ductile iron casting process with the use of the DRSA method." Journal of Mining and Metallurgy, Section B: Metallurgy 52, no. 1 (2016): 25–34. http://dx.doi.org/10.2298/jmmb150806023k.

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The paper introduces a concept of assessment of a ductile iron casting process with use of the rule-based approach, known as DRSA (dominance-based rough set approach). The research was conducted in a large Polish foundry. The collected data concern the chemical composition and mechanical properties of the used ductile cast iron. In the paper, a methodology of creating a rule-based moulding model for the tensile strength was proposed. The quality, sensitivity and accuracy of the model extracted from the data were examined. The studies proved its usefulness in the industrial practice and for aid

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Abd El-Aty, Ali, and Abdallah Shokry. "Assessment and Comparison of Phenomenological and Physical Constitutive Models for Predicting the Hot Deformation Behavior of Metallic Materials: A Pathway for Sustainable Metal Forming in Al-Kharj Governorate." Materials 18, no. 9 (2025): 2061. https://doi.org/10.3390/ma18092061.

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In the context of Al-Kharj city, which is steadily advancing as an industrial and manufacturing hub within Saudi Arabia, this study has significant relevance. The city’s focus on metal forming, fabrication, and materials engineering makes it crucial to optimize processes such as hot deformation of metallic alloys for various sectors, including aerospace, automotive, oil and gas, and structural applications. By assessing and comparing phenomenological and physical material models for nickel, aluminum, titanium, and iron-based alloys, this study aids Al-Kharj industries in advancing their proces

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Belkova, Alla, Daria Togobitska, and Dmytro Stepanenko. "MODEL DECISION-MAKING SYSTEM IN THE TASK OF CHOOSING THE OPTIMAL COMPOSITION OF THE BLAST FURNACE BURDEN UNDER SPECIFIC OPERATING CONDITIONS OF BF." Acta Metallurgica Slovaca 29, no. 2 (2023): 67–74. http://dx.doi.org/10.36547/ams.29.2.1764.

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This paper presents the methodological basis for creating a model system for selecting the optimum composition of blast furnace burden, providing the required technical and economic performance and the melting of pig iron of the required composition. The system implements a new systematic approach to modeling the processes of directed formation of blast-furnace melts. Description of composition and properties of metallurgical systems in different states is based on an original concept of directional chemical bonding using integral parameters of interatomic interaction of components in the syst

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Hellström, Kristina, Péter Svidró, Lucian Vasile Diaconu, and Attila Diószegi. "Density Variations during Solidification of Grey Cast Iron." Materials Science Forum 925 (June 2018): 155–62. http://dx.doi.org/10.4028/www.scientific.net/msf.925.155.

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As part of moving towards a sustainable production of diesel engines for heavy vehicle applications, the ability to predict casting defects has become ever so important. In order to model the solidification process for cast components correctly, it is of essence to know how the material will actually behave. To produce sound castings, often of complex geometry, the industry relies on various simulation software for the prediction and avoidance of defects. Thermophysical properties, such as density, play an important part in these simulations.Previous measurements of how the volume of liquid gr

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Delbridge, Brent, and Miaki Ishii. "Seismic Wave Speeds Derived from Nuclear Resonant Inelastic X-ray Scattering for Comparison with Seismological Observations." Minerals 10, no. 4 (2020): 331. http://dx.doi.org/10.3390/min10040331.

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Nuclear resonant inelastic X-ray scattering (NRIXS) experiments have been applied to Earth materials, and the Debye speed is often related to the material’s seismic wave speeds. However, for anisotropic samples, the Debye speed extracted from NRIXS measurements is not equal to the Debye speed obtained using the material’s isotropic seismic wave speeds. The latter provides an upper bound for the Debye speed of the material. Consequently, the acoustic wave speeds estimated from the Debye speed extracted from NRIXS (Nuclear Resonant Inelastic X-ray Scattering) measurements are underestimated comp

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