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Journal articles on the topic 'Random Alloy'

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Published: 4 June 2021

Last updated: 25 January 2023

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1

Kaburagi, Makoto, Kuniyoshi Ebina, and Takashi Tonegawa. "Multicomponent alloy with random interactions." Journal of Non-Crystalline Solids 117-118 (February 1990): 543–46. http://dx.doi.org/10.1016/0022-3093(90)90589-e.

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2

Homma, Y., Y. Takakuwa, Y. Shiokawa, D. X. Li, K. Sumiyama, and K. Suzuki. "Random anisotropy in UGe2 amorphous alloy." Journal of Alloys and Compounds 275-277 (July 1998): 665–68. http://dx.doi.org/10.1016/s0925-8388(98)00415-0.

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3

Sharma, S., R. Singh, and D. K. Chaturvedi. "Average Alloy Model for Dumbbell Diffusion in a Random Alloy." Materials Science Forum 223-224 (July 1996): 171–74. http://dx.doi.org/10.4028/www.scientific.net/msf.223-224.171.

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4

Huang, Sunchao, Xiaoli Zhang, Yongsheng Zhang, Songjun Hou, Xiaoyu Yangi, and Zhi Zeng. "Investigations of the mechanical properties of the Zr8Ti8 random alloy." International Journal of Modern Physics C 27, no. 07 (May 24, 2016): 1650076. http://dx.doi.org/10.1142/s0129183116500765.

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The mechanical property of alloys plays a vital role in applications. In order to probe the mechanical property of the Zr–Ti alloy, we have successfully generated a 16-atom special quasi-random structure (SQS) at concentration 0.5 for the Zr–Ti alloy ([Formula: see text]) with supercell ([Formula: see text]) based on the hcp Bravais cell, which has the same shape with the hcp Bravais cell. Such an SQS can be used as a good template at the 0.5 concentration of all binary hcp random alloys as the initial step for the further description of their alloy properties. Our calculated bulk modulus of [Formula: see text] is 101.7[Formula: see text]GPa, falling within the region for the extreme two constituents [Formula: see text] B[Formula: see text] B[Formula: see text]). Obtained [Formula: see text] of [Formula: see text] (3.60) is significantly larger than those of Zr (2.75) and Ti (2.64), which means that the ductility of [Formula: see text] alloy is better than those of its constituents. The maximum Cauchy stress of [Formula: see text] is 20.53[Formula: see text]GPa at strain ([Formula: see text] in [0001] direction. In addition, this SQS template for [Formula: see text] has been proved to be mechanically stable.

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5

Juang, Bor-Chau, Baolai Liang, Dingkun Ren, David Prout, Arion Chatziioannou, and Diana Huffaker. "Optical Characterization of AlAsSb Digital Alloy and Random Alloy on GaSb." Crystals 7, no. 10 (October 18, 2017): 313. http://dx.doi.org/10.3390/cryst7100313.

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6

Paul, T. R., I. V. Belova, and G. E. Murch. "Random alloy diffusion kinetics for the application to multicomponent alloy systems." Philosophical Magazine 96, no. 12 (March 21, 2016): 1228–44. http://dx.doi.org/10.1080/14786435.2016.1159349.

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7

Feng, Wen Qiang, Shu Min Zheng, Yang Qi, and Shao Qing Wang. "Periodic Maximum Entropy Random Structure Models for High-Entropy Alloys." Materials Science Forum 898 (June 2017): 611–21. http://dx.doi.org/10.4028/www.scientific.net/msf.898.611.

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Periodic chemically homogenized high-entropy alloy structures are constructed according to maximum entropy principle. The method can efficiently generate equimolar and non-equimolar high-entropy alloy atomic structures. Nine high-entropy alloys are simulated based on the constructed models using density functional theory techniques. The calculated lattice parameters are consistent with the available experimental data. The calculated enthalpies of mixing are more negative than the values estimated by using Miedema model, due to severe lattice distortion. The lattice distortion parameters were calculated. The results showed that fcc structure tend to stable with smaller and bcc structure with larger. The bulk modulus of Al1.5CoCrNiFe high-entropy alloys was fitted and the value is consistent with the available experimental data.

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8

Belova, I. V., and G. E. Murch. "Collective diffusion in the binary random alloy." Philosophical Magazine A 80, no. 3 (March 2000): 599–607. http://dx.doi.org/10.1080/01418610008212070.

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9

Belova, I. V., and G. E. Murch. "Tracer correlation factors in the random alloy." Philosophical Magazine A 80, no. 7 (July 2000): 1469–79. http://dx.doi.org/10.1080/01418610008212131.

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10

V. Belova, G. E. Murch, I. "Collective diffusion in the binary random alloy." Philosophical Magazine A 80, no. 3 (March 1, 2000): 599–607. http://dx.doi.org/10.1080/014186100250732.

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11

V. Belova, G. E. Murch, I. "Tracer correlation factors in the random alloy." Philosophical Magazine A 80, no. 7 (July 1, 2000): 1469–79. http://dx.doi.org/10.1080/01418610050058452.

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12

Karakoyun, Gülşen, and Ümit Akıncı. "Binary alloy in random field: Phase diagrams." Physica A: Statistical Mechanics and its Applications 510 (November 2018): 407–14. http://dx.doi.org/10.1016/j.physa.2018.07.003.

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13

Nieto, F., and C. Uebing. "Diffusion of adsorbates on random alloy surfaces." European Physical Journal B 1, no. 4 (March 1998): 523–31. http://dx.doi.org/10.1007/s100510050215.

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14

GANGULI, BIPLAB, and ABHIJIT MOOKERJEE. "OPTICAL PROPERTIES OF RANDOM III–V TERNARY SEMICONDUCTING ALLOYS." International Journal of Modern Physics B 16, no. 24 (September 20, 2002): 3681–95. http://dx.doi.org/10.1142/s0217979202013006.

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The formalism developed earlier for the study of optical properties of random semiconducting alloys has been applied to the ternary alloy GaAs x Sb 1-x. The effects of randomness in the optical transition matrix element has been shown within the formalism.

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15

Belova, Irina V., and Graeme E. Murch. "Interdiffusion Data in Multicomponent Alloys as a Source of Quantitative Fundamental Diffusion Information." Defect and Diffusion Forum 263 (March 2007): 1–10. http://dx.doi.org/10.4028/www.scientific.net/ddf.263.1.

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Tracer diffusion experiments have historically furnished much of the information about fundamental diffusion processes as embodied in such quantities as tracer correlation factors and vacancy-atom exchange frequencies. As tracer diffusion experiments using radiotracers are rather less often performed nowadays, it is important to be able to process other diffusion data to provide similar fundamental information. New procedures that are primarily based around the random alloy model have been established recently for analyzing chemical diffusion data in binary and ternary alloy systems. These procedures are reviewed here. First, we review the random alloy model, the Sum-rule relating the phenomenological coefficients and three diffusion kinetics formalisms making use of the random alloy. Next, we show how atom-vacancy exchange frequency ratios and then component tracer correlation factors can be extracted from chemical diffusion data in alloy systems. Examples are taken from intrinsic diffusion and interdiffusion data in a number of binary and ternary alloys.

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16

Cameron, L. M., and Collin A. Sholl. "Theory of Diffusion in a Dilute Random Alloy." Defect and Diffusion Forum 143-147 (January 1997): 143–48. http://dx.doi.org/10.4028/www.scientific.net/ddf.143-147.143.

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17

Belova, I. V., and G. E. Murch. "Solvent diffusion kinetics in the dilute random alloy." Philosophical Magazine 83, no. 3 (January 2003): 393–99. http://dx.doi.org/10.1080/0141861021000025838.

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18

Mariette, H., and A. A. Mbaye. "Random-Alloy splitting of Cu levels inGaAs1−xPx." Physical Review Letters 54, no. 8 (February 25, 1985): 848. http://dx.doi.org/10.1103/physrevlett.54.848.

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19

Ouannasser, S., and H. Dreyssé. "Study of surface segregation in Mo0.75Re0.25 random alloy." Surface Science 523, no. 1-2 (January 2003): 151–56. http://dx.doi.org/10.1016/s0039-6028(02)02410-x.

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20

Theissen, Oliver, Annette Zippelius, and Paul M. Goldbart. "Continuous Random Alloy Networks: Glass Transition and Elasticity." International Journal of Modern Physics B 11, no. 16 (June 30, 1997): 1945–57. http://dx.doi.org/10.1142/s0217979297001015.

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Amorphous alloys can be modelled as random networks of atoms or molecules of differing valencies. A statistical-mechanical theory of such networks is presented for the case of binary amorphous alloys. The existence of a continuous equilibrium phase transition, from the liquid state to the amorphous solid state driven by increasing the density of permanent random covalent bonds, is demonstrated. The structural and elastic properties of the amorphous solid state are calculated through the use of a variational Ansatz, and a discussion is given of the dependence of these properties on the relative concentration of the constituent atoms or molecules and their valencies. Implications of the present results in the context of gelation are addressed, especially with regard to the (primarily entropic) elastic properties of gels.

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21

Powell, A. R. "Stability of strained Si1−yCy random alloy layers." Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 11, no. 3 (May 1993): 1064. http://dx.doi.org/10.1116/1.587008.

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22

Sharma, S., R. Singh, and D. K. Chaturvedi. "Atomic transport coefficients in a binary random alloy." Philosophical Magazine A 79, no. 11 (November 1999): 2803–14. http://dx.doi.org/10.1080/01418619908212025.

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23

Sharma, R. Singh, D. K. Chaturvedi, S. "Atomic transport coefficients in a binary random alloy." Philosophical Magazine A 79, no. 11 (November 1, 1999): 2803–14. http://dx.doi.org/10.1080/014186199251346.

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24

Afikuzzaman, Mohammad, Irina V. Belova, and Graeme E. Murch. "Investigation of Interdiffusion in High Entropy Alloys: Application of the Random Alloy Model." Diffusion Foundations 22 (May 2019): 94–108. http://dx.doi.org/10.4028/www.scientific.net/df.22.94.

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High entropy alloys (HEAs) are composed of five or more principal elements with equal (or nearly equal) compositions. In this paper, interdiffusion phenomenon in the HEAs is investigated. Two composition dependent (as well as composition independent) interdiffusion matrices have been used for detailed studying of the diffusion behaviour in CoCrFeMnNi HEAs. These matrices are calculated according to the Darken and Manning formalisms and are used in combination with the explicit finite difference method (EFDM) to obtain interdiffusion profiles. First, the interdiffusion profiles are calculated for the case of the terminal binary diffusion couple. A significant difference in the composition profiles is found between predictions according to the Darken and Manning formalisms. Next, the interdiffusion problem in the 5-component alloy is addressed numerically by considering the interdiffusion coefficients as constant, independent of composition, in CoCrFeMnNi alloys for several diffusion couples (mainly quasi-binary and quasi-ternary). The simulated composition profiles are found to be in a very good agreement with the available experimental results [1, 2]. It should be pointed out that the independence on composition of the interdiffusion matrix should be used for diffusion couples under two conditions: relatively small changes in composition, and the non-zero/non-dilute terminal compositions. The composition dependent interdiffusion matrix should be used in the diffusion couple if the composition differences are large and/or zero/dilute terminal compositions. In this paper, the Darken and Manning formalisms are used for modelling the composition dependent interdiffusion matrices. The purpose of this modelling is to systematically investigate interdiffusion in CoCrFeMnNi alloys in diffusion couples with substantial changes in composition. The main application of the present research is in the prediction of possible interdiffusion profiles in the framework of the random alloy model.

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25

Nöhring, Wolfram G., Jan Grießer, Patrick Dondl, and Lars Pastewka. "Surface lattice Green’s functions for high-entropy alloys." Modelling and Simulation in Materials Science and Engineering 30, no. 1 (December 17, 2021): 015007. http://dx.doi.org/10.1088/1361-651x/ac3ca2.

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Abstract We study the surface elastic response of pure Ni, the random alloy FeNiCr and an average FeNiCr alloy in terms of the surface lattice Green’s function. We propose a scheme for computing per-site Green’s function and study their per-site variations. The average FeNiCr alloys accurately reproduces the mean Green’s function of the full random alloy. Variation around this mean is largest near the edge of the surface Brillouin-zone and decays as q −2 with wavevector q towards the Γ-point. We also present expressions for the continuum surface Green’s function of anisotropic solids of finite and infinite thickness and show that the atomistic Green’s function approaches continuum near the Γ-point. Our results are a first step towards efficient contact calculations and Peierls–Nabarro type models for dislocations in high-entropy alloys.

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26

Jin, Li, Guang Li, Jie Dong, and Wen Jiang Ding. "Microstructure and Mechanical Properties of Extruded Mg-Zn-Ce-Zr Alloy Rods." Materials Science Forum 706-709 (January 2012): 1199–204. http://dx.doi.org/10.4028/www.scientific.net/msf.706-709.1199.

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Mg-Ce based alloy is a significant extrusion alloy for high ductility and Zn is a promising element for the increase of strength in the alloys. The effects of Zn addition to the Mg-0.5%Ce-0.5%Zr alloy and the extrusion parameters on the microstructures and mechanical properties of Mg-Zn-Ce-Zr alloy have been investigated. The results suggest that Zn element addition will enhance alloy strength and save accepted ductility. The extrusion parameters have been optimized to get the fine grain size, random texture, and therefore to develop a higher ductility and lower yield asymmetry alloy.

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27

Allnatt, A. R., I. V. Belova, and G. E. Murch. "Atom transport in random two sublattice structures: analogue of the random alloy sum rule." Philosophical Magazine 86, no. 36 (November 24, 2006): 5837–46. http://dx.doi.org/10.1080/14786430600835821.

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28

Sharafedini, Elham, Hossein Hamzehpour, and Mohammad Alidoust. "Multiscale statistical quantum transport in porous media and random alloys with vacancies." Journal of Applied Physics 133, no. 3 (January 21, 2023): 035102. http://dx.doi.org/10.1063/5.0130917.

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We have developed a multiscale self-consistent method to study the charge conductivity of a porous system or a metallic matrix alloyed by randomly distributed nonmetallic grains and vacancies by incorporating Schrödinger’s equation and Poisson’s equation. To account for the random distribution of the nonmetallic grains and clusters within the alloy system, we have used an uncorrelated white-noise Monte Carlo sampling to generate numerous random alloys and statistically evaluate the charge conductance. We have performed a parametric study and investigated various electrical aspects of random porous and alloy systems as a function of the inherent parameters and density of the random grains. Our results find that the charge conductance within the low-voltage regime shows a highly nonlinear behavior against voltage variations in stark contrast to the high-voltage regime where the charge conductance is constant. The former finding is a direct consequence of the quantum scattering processes. The results reveal the threshold to the experimentally observable quantities, e.g., voltage difference, so that the charge current is activated for values larger than the threshold. The numerical study determines the threshold of one quantity as a function of the remaining quantities. Our method and results can serve to guide future experiments in designing circuital elements, involving this type of random alloy system.

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29

Murch, Graeme E., and Irina V. Belova. "Adaptation to the Ordered Alloy of Manning's Description of Diffusion in the Random Alloy." Materials Science Forum 223-224 (July 1996): 161–70. http://dx.doi.org/10.4028/www.scientific.net/msf.223-224.161.

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30

Baugher, E. M., M. Chandrasekhar, H. R. Chandrasekhar, H. Luo, J. K. Furdyna, and L. R. Ram-Mohan. "A comparative study of ordered alloy and random alloy quantum wells of under pressure." Journal of Physics and Chemistry of Solids 56, no. 3-4 (March 1995): 323–27. http://dx.doi.org/10.1016/0022-3697(94)00201-0.

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31

Klopp, Frédéric, and Shu Nakamura. "Lifshitz tails for generalized alloy-type random Schrödinger operators." Analysis & PDE 3, no. 4 (September 8, 2010): 409–26. http://dx.doi.org/10.2140/apde.2010.3.409.

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32

Lee, S., B. Guo, S. H. Kodati, H. Jung, M. Schwartz, A. H. Jones, M. Winslow, et al. "Random alloy thick AlGaAsSb avalanche photodiodes on InP substrates." Applied Physics Letters 120, no. 7 (February 14, 2022): 071101. http://dx.doi.org/10.1063/5.0067408.

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33

Chang, Cynthia S. T., A. S. C. Yeung, and B. J. Duggan. "Producing a Random Recrystallization Texture in 6111 Aluminium Alloy." Materials Science Forum 495-497 (September 2005): 591–96. http://dx.doi.org/10.4028/www.scientific.net/msf.495-497.591.

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6111 Aluminium Alloy in the hot band state was cold rolled to 80% was then annealed at 450oC, 500oC and 540oC for recrystallization. The hot band was also solution heat treated, cold rolled and annealed to the same temperature to look at the difference in the recrystallization texture and precipitation states. It was found that the samples which were cold rolled and annealed without solution heat treatment gave Goss and P components after annealing. For the samples with solution heat treatment, the 450oC sample has a retained Cu type rolling texture while for the 500oC and 540oC the textures are quite random. The retained rolling texture found in the 450oC sample is due to the fact that it was partially recrystallized as the precipitates prevent complete recrystallization. The difference in the precipitation states during and after annealing of the samples with and without solution heat treatment affects the final recrystallization texture.

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34

Molchanov, Stanislav, and Vladimir Panov. "Limit theorems for the alloy-type random energy model." Stochastics 91, no. 5 (November 15, 2018): 754–72. http://dx.doi.org/10.1080/17442508.2018.1545841.

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35

Zhang, Junming, Linfan Shen, Yanxia Jiang, and Shigang Sun. "Random alloy and intermetallic nanocatalysts in fuel cell reactions." Nanoscale 12, no. 38 (2020): 19557–81. http://dx.doi.org/10.1039/d0nr05475e.

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36

Kleinman, Leonard. "Non-muffin-tin formalism for random-semiconductor-alloy calculations." Physical Review B 35, no. 8 (March 15, 1987): 3854–59. http://dx.doi.org/10.1103/physrevb.35.3854.

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37

Belova, I. V., and G. E. Murch. "Theory of diffusion kinetics in the bcc random alloy." Philosophical Magazine A 77, no. 4 (April 1998): 1053–65. http://dx.doi.org/10.1080/01418619808221228.

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38

Gamler, Jocelyn T. L., Alberto Leonardi, Hannah M. Ashberry, Nicholas N. Daanen, Yaroslav Losovyj, Raymond R. Unocic, Michael Engel, and Sara E. Skrabalak. "Achieving Highly Durable Random Alloy Nanocatalysts through Intermetallic Cores." ACS Nano 13, no. 4 (April 8, 2019): 4008–17. http://dx.doi.org/10.1021/acsnano.8b08007.

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39

Molina, M. I., and G. P. Tsironis. "Absence of Localization in a Nonlinear Random Binary Alloy." Physical Review Letters 73, no. 3 (July 18, 1994): 464–67. http://dx.doi.org/10.1103/physrevlett.73.464.

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40

Carpy, Sabrina, and Hélène Mathis. "Modeling binary alloy solidification by a random projection method." Numerical Methods for Partial Differential Equations 35, no. 2 (December 17, 2018): 733–60. http://dx.doi.org/10.1002/num.22322.

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41

Wang, Yan, Chongjie Gu, and Xiulin Ruan. "Optimization of the random multilayer structure to break the random-alloy limit of thermal conductivity." Applied Physics Letters 106, no. 7 (February 16, 2015): 073104. http://dx.doi.org/10.1063/1.4913319.

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42

Zhdanov, Vladimir P. "A generic statistical model of hydride formation in a random alloy." Modern Physics Letters B 30, no. 26 (September 30, 2016): 1650330. http://dx.doi.org/10.1142/s0217984916503309.

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Hydride formation in metals (e.g. in Pd), accompanied by a hysteresis loop in the absorption isotherms, is one of the generic examples of first-order phase transitions (FOPTs). During the last decade, the corresponding experimental studies, driven by applications related to hydrogen storage, have shifted towards metal particles sized from a few nanometers to micrometers in general and to alloyed particles of these sizes in particular. The understanding of hydride formation in alloys is, however, still far from complete. Herein, a statistical model of hydride formation in a random alloy is presented. The model is focused on the situation when this process is favorable in metal 1 (e.g. Pd) and shows what may happen when atoms of metal 2 make it less favorable due to decrease of the hydrogen binding energy and/or attractive hydrogen–hydrogen (H–H) interaction. Random distribution of metal atoms is taken explicitly into account. The attractive H–H interaction, including its dependence on fraction of metal 2 in the alloy, is described at the mean-field level. With increasing fraction of the latter metal, the critical temperature is found to decrease linearly or nonlinearly depending on the values of the model parameters. If the decrease of the hydrogen binding energy with increasing number of nearest-neighbor (nn) atoms of metal 2 is appreciable, the model predicts up to three hysteresis loops.

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43

DATTA, ABHIJIT, and ABHIJIT MOOKERJEE. "RECURSION METHOD IN AUGMENTED SPACE." International Journal of Modern Physics B 06, no. 20 (October 20, 1992): 3295–308. http://dx.doi.org/10.1142/s0217979292001444.

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A new method for configuration averaging in random binary alloy problem is proposed which combines the augmented space method with Haydock’s recursion scheme. The basis members of the augmented space are represented by a series of binary words (the multi-spin coding technique). Haydock’s recursion scheme is employed to obtain the resolvent of the Hamiltonian in the augmented space formalism. The configuration averaged DOS is obtained from the resolvent. The procedure is illustrated by applying it to a simple s-state model of random binary alloy on a simple cubic structure. We have also applied the method to calculate the density of states for CuAg alloys using both the LCAO and TB-LMTO methods.

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44

Pant, Nick, Woncheol Lee, Nocona Sanders, and Emmanouil Kioupakis. "Increasing the mobility and power-electronics figure of merit of AlGaN with atomically thin AlN/GaN digital-alloy superlattices." Applied Physics Letters 121, no. 3 (July 18, 2022): 032105. http://dx.doi.org/10.1063/5.0097963.

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Alloy scattering in random AlGaN alloys drastically reduces the electron mobility and, therefore, the power-electronics figure of merit. As a result, Al compositions greater than 75% are required to obtain even a twofold increase in the Baliga figure of merit compared to GaN. However, beyond approximately 80% Al composition, donors in AlGaN undergo the DX transition, which makes impurity doping increasingly more difficult. Moreover, the contact resistance increases exponentially with the increase in Al content, and integration with dielectrics becomes difficult due to the upward shift of the conduction band. Atomically thin superlattices of AlN and GaN, also known as digital alloys, are known to grow experimentally under appropriate growth conditions. These chemically ordered nanostructures could offer significantly enhanced figure of merit compared to their random alloy counterparts due to the absence of alloy scattering, as well as better integration with contact metals and dielectrics. In this work, we investigate the electronic structure and phonon-limited electron mobility of atomically thin AlN/GaN digital-alloy superlattices using first-principles calculations based on density-functional and many-body perturbation theory. The bandgap of the atomically thin superlattices reaches 4.8 eV, and the in-plane (out-of-plane) mobility is 369 (452) cm2 V−1 s−1. Using the modified Baliga figure of merit that accounts for the dopant ionization energy, we demonstrate that atomically thin AlN/GaN superlattices with a monolayer sublattice periodicity have the highest modified Baliga figure of merit among several technologically relevant ultra-wide bandgap materials, including random AlGaN, [Formula: see text]-Ga2O3, cBN, and diamond.

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45

Lathiotakis, N. N., B. L. Györffy, and J. B. Staunton. "The Fermi surface of random-metallic alloys and the oscillatory magnetic coupling across alloy spacers." Journal of Physics: Condensed Matter 10, no. 46 (November 23, 1998): 10357–66. http://dx.doi.org/10.1088/0953-8984/10/46/002.

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46

Dasgupta, Indra, Tanusri Saha, and Abhijit Mookerjee. "Augmented-space recursive technique for the analysis of alloy phase stability in random binary alloys." Physical Review B 51, no. 6 (February 1, 1995): 3413–21. http://dx.doi.org/10.1103/physrevb.51.3413.

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47

Mookerjee, A. "A first principles technique for the analysis of alloy phase stability in random binary alloys." Bulletin of Materials Science 18, no. 1 (February 1995): 3–15. http://dx.doi.org/10.1007/bf02745266.

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48

Hama, Takayuki, Tsuyoshi Mayama, and Hirohiko Takuda. "Deformation Behavior of a Magnesium Alloy Sheet with Random Crystallographic Orientations." Key Engineering Materials 611-612 (May 2014): 27–32. http://dx.doi.org/10.4028/www.scientific.net/kem.611-612.27.

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In the present study, the deformation behavior of a cast Mg alloy sheet that had random crystallographic orientations was studied both experimentally and numerically. Although the crystallographic orientations were random, the stress-strain curve was asymmetric between tension and compression: the flow stress under tension was higher than that of compression. Moreover, the stress-strain curve exhibited a strain path dependency: a slightly sigmoidal curve occurred under tension following compression, while it did not occur under compression following tension. Clearly, such tendencies were similar to those observed in rolled Mg alloy sheets although the tendencies were less pronounced in the cast Mg alloy sheet. A crystal plasticity finite-element method was used to understand the mechanism of these results. Simulation results showed that the asymmetry and the strain path dependency in the stress-strain curves occurred in the cast Mg alloy sheet because of the asymmetry in the activity of twinning between tension and compression as in the case of rolled Mg alloy sheets.

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49

Kitazono, Koichi, Yutaro Shimoda, and Shigeki Kato. "Enhanced Plastic Deformation of Magnesium Alloy Produced through Accumulative Diffusion Bonding." Materials Science Forum 735 (December 2012): 87–92. http://dx.doi.org/10.4028/www.scientific.net/msf.735.87.

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Plastic deformation of magnesium alloy is limited because of its HCP structure. Though the grain refined magnesium alloy exhibits superplastic deformation at elevated temperature, the strength decreases due to induced cavitation. This study focusses on developing the random texture of magnesium alloy and causes relatively high plastic deformation even at room temperature. Random texture is produced through newly proposed accumulative diffusion bonding process using commercial AZ91 magnesium alloy sheets. Tensile and V-bending tests reveal that the enhanced ductility of the produced magnesium alloy sheet.

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Ibrahim, Hesham H., Mohammad Tawfik, and Hani M. Negm. "Thermoacoustic Random Response of Shape Memory Alloy Hybrid Composite Plates." Journal of Aircraft 45, no. 3 (May 2008): 962–70. http://dx.doi.org/10.2514/1.32843.

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