Academic literature on the topic 'Computational modeling in solid-state phase transformation of metal and alloys'

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Journal articles on the topic "Computational modeling in solid-state phase transformation of metal and alloys"

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Antoni, Grégory, Frédéric Lebon, and Thierry Désoyer. "Return Mapping Algorithms (RMAs) for Two-Yield Surface Thermoviscoplastic Models Using the Consistent Tangent Operator." International Journal of Nonlinear Sciences and Numerical Simulation 19, no. 7-8 (2018): 681–97. http://dx.doi.org/10.1515/ijnsns-2017-0073.

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AbstractThe return mapping algorithms (RMAs) presented here are designed for use with pressure-dependent thermoviscoplastic constitutive models involving irreversible effects associated with solid–solid phase transformations. During the volume solid–solid phase transformations occurring under mechanical loads, an “anomalous” plasticity, the so-called “TRansformation Induced Plasticity” (TRIP), is generated at much lower stress levels than those related to the yield stress of the material in the context of the classical plasticity. TRIP mechanisms are superimposed on the classical plasticity wh
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Wróbel, Joanna, and Adam Kulawik. "Algorithm for Determining Time Series of Phase Transformations in the Solid State Using Long-Short-Term Memory Neural Network." Materials 15, no. 11 (2022): 3792. http://dx.doi.org/10.3390/ma15113792.

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In the numerical analysis of manufacturing processes of metal parts, many material properties depending on, for example, the temperature or stress state, must be taken into account. Often these data are dependent on the temperature changes over time. Strongly non-linear material property relationships are usually represented using diagrams. In numerical calculations, these diagrams are analyzed in order to take into account the coupling between the properties. An example of these types of material properties is the dependence of the kinetics of phase transformations in the solid state on the r
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Liu, Xueyan, Hongwei Li, and Mei Zhan. "A review on the modeling and simulations of solid-state diffusional phase transformations in metals and alloys." Manufacturing Review 5 (2018): 10. http://dx.doi.org/10.1051/mfreview/2018008.

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Solid-state diffusional phase transformations are vital approaches for controlling of the material microstructure and thus tailoring the properties of metals and alloys. To exploit this mean to a full extent, much effort is paid on the reliable and efficient modeling and simulation of the phase transformations. This work gives an overview of the developments in theoretical research of solid-state diffusional phase transformations and the current status of various numerical simulation techniques such as empirical and analytical models, phase field, cellular automaton methods, Monte Carlo models
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Santos, Thiago, Danièle Chaubet, Tony Da Silva Botelho, Guillaume Poize, and Brigitte Bacroix. "Analysis of the microstructural features of phase transformation during hardening processes of 3 martensitic stainless steels." Metallurgical Research & Technology 120, no. 1 (2023): 117. http://dx.doi.org/10.1051/metal/2022094.

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The present paper investigates the microstructural features and associated hardening state of three different martensitic stainless steels (CX13, XD15 and MLX17 produced by Aubert&Duval), subjected to three different thermomechanical treatments, aimed at producing hard materials for tribological applications. It is thus shown that all treatments (cementation, HF quenching or Age Hardening) are efficient to produce hard surfaces. The bulk martensitic state is also studied. Although the three martensites look somewhat different, it is shown that the transformation always obeys the KS orienta
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Ni, Xinchen, Haiwen Luan, Jin-Tae Kim, et al. "Soft shape-programmable surfaces by fast electromagnetic actuation of liquid metal networks." Nature Communications 13, no. 1 (2022). http://dx.doi.org/10.1038/s41467-022-31092-y.

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AbstractLow modulus materials that can shape-morph into different three-dimensional (3D) configurations in response to external stimuli have wide-ranging applications in flexible/stretchable electronics, surgical instruments, soft machines and soft robotics. This paper reports a shape-programmable system that exploits liquid metal microfluidic networks embedded in an elastomer matrix, with electromagnetic forms of actuation, to achieve a unique set of properties. Specifically, this materials structure is capable of fast, continuous morphing into a diverse set of continuous, complex 3D surfaces
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Vandenhaute, Sander, Sven M. J. Rogge, and Veronique Van Speybroeck. "Large-Scale Molecular Dynamics Simulations Reveal New Insights Into the Phase Transition Mechanisms in MIL-53(Al)." Frontiers in Chemistry 9 (August 27, 2021). http://dx.doi.org/10.3389/fchem.2021.718920.

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Soft porous crystals have the ability to undergo large structural transformations upon exposure to external stimuli while maintaining their long-range structural order, and the size of the crystal plays an important role in this flexible behavior. Computational modeling has the potential to unravel mechanistic details of these phase transitions, provided that the models are representative for experimental crystal sizes and allow for spatially disordered phenomena to occur. Here, we take a major step forward and enable simulations of metal-organic frameworks containing more than a million atoms
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Dissertations / Theses on the topic "Computational modeling in solid-state phase transformation of metal and alloys"

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Bhadak, Bhalchandra. "Phase-field modeling of equilibrium shapes of precipitate and growth instabilities in the presence of coherency stresses". Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4538.

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Precipitation-hardened alloys are one of the most technologically significant materials that are used for structural applications, where an important mode of strengthening is due to the impediment to the movement of dislocations. The alloys, particularly possessing coherent precipitate-matrix interface, give rise to the coherency strain fields producing the coherency stresses in the matrix, which further interact with the dislocations to provide necessary strengthening. In this context, the control of the shape and distribution of the precipitates as a function of material and process parameters
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