The origins, growth and current industrial impact of Calphad

Spencer, P.J.

doi:10.1016/j.calphad.2022.102489

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…Fortunately, five decades ago witnessed the arrival of CALculation of PHAse Diagrams (CALPHAD) technologies. The technology uses a computational approach involving thermodynamic and kinetic modeling to design materials with specific properties [103]. Some CALPHAD technologies reported in the literature include Thermo-Calc [104], MatCalc [105] and JMatPro [106].…”

Section: Tool Wear Enhancement Via Application Of Heat Treatmentmentioning

confidence: 99%

Enhancing the Tribological Performance of Tool Steels for Wood-Processing Applications: A Comprehensive Review

Muhammed

Javidani

Heidari

et al. 2023

Metals

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The stochastic nature of tool wear during wood machining, owing to the dynamic properties of the biological material and its dependence on various factors, has raised significant industrial and research concerns in recent years. Explicitly, the tool wear is a product of the interaction between wood properties (such as hardness, density, and contamination level) and machining parameters (such as cutting speed, feed rate, and rake angle) alongside ambient conditions (such as temperature and humidity). The objective of this review paper is to provide an overview of recent advancements in the field of wood machining. To begin with, it highlights the important role of wood properties and ambient conditions influencing tool wear. Furthermore, the paper examines the various mechanisms involved in the wood-machining process and discusses their cost implications from an industrial perspective. It also covers technological advancements in the characterization of tool wear and explores the relationship between this parameter and other machining variables. It provides critical and analytical discussions on various methods for enhancing tool wear, including heat treatment, cryogenic treatment, thermochemical treatment, coating deposition, and hybrid treatments. Additionally, the paper incorporates statistical analysis to achieve two objectives. Firstly, it aims to identify the most significant wood property that affects tool wear and establish the correlation between this parameter and wood properties. Secondly, it investigates the effect of heat treatment parameters and carbide characteristics on tool wear as well as their correlation. Lastly, the review provides recommendations based on relevant literature for prospective researchers and industrial counterparts in the field. These recommendations aim to guide further exploration and practical applications in the subject matter.

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Section: Tool Wear Enhancement Via Application Of Heat Treatmentmentioning

confidence: 99%

Enhancing the Tribological Performance of Tool Steels for Wood-Processing Applications: A Comprehensive Review

Muhammed

Javidani

Heidari

et al. 2023

Metals

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“…The CALPHAD modeling starts from pure elements to binary and ternary systems, which are then extrapolated to multicomponent systems, and individual phases were thus considered by the author as the building blocks of materials 10 with their free energies 11 and diffusivity 12 predicted from DFT-based calculations using the ground-state configuration 13 . The impact of the CALPHAD approach was reviewed in a recent special issue that collects the lectures given at the CALPHAD Global 2021 Virtual conference [14][15][16][17][18][19] . The CALPHAD method was pioneered by Kaufman as described in the monograph by Kaufman and Bernstein 2 .…”

Section: Introductionmentioning

confidence: 99%

Building materials genome from ground‐state configuration to engineering advance

Liu

2023

Materials Genome Engineering Advances

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Individual phases are commonly considered as the building blocks of materials. However, the accurate theoretical prediction of properties of individual phases remains elusive. The top‐down approach by decoding genomic building blocks of individual phases from experimental observations is nonunique. The density functional theory (DFT), as a state‐of‐the‐art solution of quantum mechanics, prescribes the existence of a ground‐state configuration at 0 K for a given system. It is self‐evident that the ground‐state configuration alone is insufficient to describe a phase at finite temperatures as symmetry‐breaking non‐ground‐state configurations are excited statistically at temperatures above 0 K. Our multiscale entropy approach (recently terms as Zentropy theory) postulates that the entropy of a phase is composed of the sum of the entropy of each configuration weighted by its probability plus the configurational entropy among all configurations. Consequently, the partition function of each configuration in statistical mechanics needs to be evaluated by its free energy rather than total energy. The combination of the ground‐state and symmetry‐breaking non‐ground‐state configurations represents the building blocks of materials and can be used to quantitatively predict free energy of individual phases with the free energy of each configuration predicted from DFT as well as all properties derived from free energy of individual phases.

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Thermodynamics and its prediction and CALPHAD modeling: Review, state of the art, and perspectives

Liu

2023

Calphad

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The origins, growth and current industrial impact of Calphad

Cited by 7 publications

References 10 publications

Enhancing the Tribological Performance of Tool Steels for Wood-Processing Applications: A Comprehensive Review

Enhancing the Tribological Performance of Tool Steels for Wood-Processing Applications: A Comprehensive Review

Building materials genome from ground‐state configuration to engineering advance

Thermodynamics and its prediction and CALPHAD modeling: Review, state of the art, and perspectives

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