Material design and development: From classical thermodynamics to CALPHAD and ICME approaches

Luo, Alan A.

doi:10.1016/j.calphad.2015.04.002

Cited by 82 publications

(23 citation statements)

References 75 publications

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“…There has also been much effort in recent times to apply CALPHAD and the ICME methods to develop new materials and manufacturing processes to meet design specifications . ICME combines different models (i.e., materials, manufacturing, and system design) into a holistic computational framework, as shown in Figure , where those three models can be linked to each other to predict site‐specific microstructures and properties, leading to the most efficient engineering products.…”

Section: Discussion − Identification Of Opportunitiesmentioning

confidence: 99%

“…This would be an effective strategy for a wide range of other alloys and would be of great advantage to alloy development for metal AM. Additionally, CALPHAD and Integrated Computational Materials Engineering (ICME) approaches have been successfully used to predict the forming ability of metastable BMGs . Zhang et al and Hasse et al have shown thermodynamic calculations may be important in aiding the effective design of HEAs.…”

Section: Alloy Development For Metal Ammentioning

confidence: 99%

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Metal Alloys for Fusion‐Based Additive Manufacturing

et al. 2018

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Metal additive manufacturing (AM) is an innovative manufacturing technique, which builds parts incrementally layer by layer. Thus, metal AM has inherent advantages in part complexity, time, and waste saving. However, due to its complex thermal cycle and rapid solidification during processing, the alloys well suit and commercially used for metal AM today are limited. Therefore, it is important to understand the alloying strategy and current progress with materials performance to consider alloy development for metal AM. This review presents the current range of alloys available for metal AM, including titanium, steel, nickel, aluminum, less common alloys (including Mg alloys, metal matrix composites alloys, and low melting point alloys), and compositionally complex alloys (including bulk metallic glasses and high entropy alloys) with a focus on the relationship between compositions, processing, microstructures, and properties of each alloy system. In addition, some promising alloy systems for metal AM are highlighted. Approaches for designing and optimizing new materials for metal AM have been summarized.

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Section: Discussion − Identification Of Opportunitiesmentioning

confidence: 99%

Section: Alloy Development For Metal Ammentioning

confidence: 99%

Metal Alloys for Fusion‐Based Additive Manufacturing

et al. 2018

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“…A variety of examples of applications are presented summarized in a number of publications [87-92]. Extensive collections of detailed examples can be found in a number of books, such as “User Applications of Alloy Phase Diagrams” [93], “User Aspects of Phase Diagrams” [94] or the two editions of “The SGTE Casebook, Thermodynamics at Work” [95].…”

Section: Applicationsmentioning

confidence: 99%

The Calphad Method and Its Role in Material and Process Development

Kattner¹

2016

TMM

115

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Successful design of materials and manufacturing processes requires the availability of reliable materials data. Commercial alloys usually contain a large number of elements, and the needed data for the design of new materials and processes are rarely available. The CALPHAD (CALculation of PHAse Diagrams) method enables the development of thermodynamic and property databases, that in conjunction with extrapolation methods of the descriptions of binary and ternary systems to higher-order systems, allow the calculation of data for higher-order systems. The results obtained from CALPHAD calculations have been shown to be invaluable in the design of new materials. This review presents an overview of the CALPHAD method, software tools and databases and gives examples of its application.

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“…This allows to build the neural network with a high number of input and output parameters. Computational thermodynamics based on the CALPHAD method are widely used in materials science and are often applied for the development of new steels . It allows the calculation of phase equilibria, phase diagrams, and phase transformations as well as thermodynamic assessments in complex multi‐component alloys .…”

Section: Introductionmentioning

confidence: 99%

A Computational Approach to the Microstructural Design of High‐Speed Steels

Egels

Wulbieter

Weber

et al. 2019

steel research int.

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Increasing requirements concerning the operational conditions and durability of tools create a demand for the optimization of tool steels. High-speed steels (HSSs), for example, contain high amounts of carbides embedded in a secondary hardenable martensitic matrix. The wear behavior and the mechanical properties of HSS can be optimized for a certain application by adjusting the type and amount of carbides, as well as their compositions and the composition of the matrix. Computational thermodynamics based on the calculation of phase diagrams method allow the estimation of arising phases as well as phase compositions during the solidification or the heat treatment of a steel. However, in complex alloy systems, for example, HSS, the relationships between the content of alloying elements and the stability and the composition of phases can be complicated and nonlinear. Therefore, it can be difficult to find alloy compositions that are suitable to achieve a desired microstructure with iterative calculations. To handle this difficulty, a computational tool is developed, which determines compositions to obtain predefined HSS microstructures. The computational tool is based on a neural network that was previously trained with a thermodynamically calculated database. The efficiency of this approach is experimentally verified by producing and investigating laboratory melts of different HSS.

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Material design and development: From classical thermodynamics to CALPHAD and ICME approaches

Cited by 82 publications

References 75 publications

Metal Alloys for Fusion‐Based Additive Manufacturing

Metal Alloys for Fusion‐Based Additive Manufacturing

The Calphad Method and Its Role in Material and Process Development

A Computational Approach to the Microstructural Design of High‐Speed Steels

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