Solidification and heat treatment simulation for aluminum alloys with scandium addition through CALPHAD approach

Jha, Rajesh; Dulikravich, George S.

doi:10.1016/j.commatsci.2020.109749

Cited by 14 publications

(7 citation statements)

References 30 publications

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“…Metastable phases cannot be shown on the phase diagram, nor is there any estimate of the amount (mole) of these phases. Metastable phases can be preferentially stabilized by suppressing/removing a set of stable phases while performing phase stability calculations [29,33,34,40]. Once a set of thermodynamically stable phases are suppressed/removed, we are left with the remaining phases of that system.…”

Section: Identification Of Stable and Metastable Phasesmentioning

confidence: 99%

“…A brief understanding of the formation of metastable phases for a given system can be helpful while designing experiments including heat treatment protocols. We have published articles on stabilizing metastable phases in aluminum alloys [29] and soft magnetic FINEMET-type alloys [33,34]. In soft magnetic alloys, we even performed heat treatment simulations for studying the nucleation and growth of metastable phases and some of the results were experimentally verified using advanced diagnostic tools such as atom probe tomography [34].…”

Section: Identification Of Stable and Metastable Phasesmentioning

confidence: 99%

“…DLANN models were used as a predictive tool and can be used on a computer and even on an Android device. As mentioned before, metastable phases are absent in the presence of stable phases while performing phase stability calculations under the framework of the CALPHAD approach [29,33,34,39]. We used the alloy composition and temperatures included in the dataset obtained from initial calculations containing only stable phases and then predicted metastable phases for these alloy compositions and temperatures through DLANN models.…”

Section: Dlann Modelmentioning

confidence: 99%

“…Our research team has significant experience in designing alloys by application of artificial intelligence (AI) algorithms on data generated from experiments and data generated under the framework of the CALPHAD approach. We have successfully designed titanium alloys [28], aluminum alloys [29,30], hard magnets (AlNiCo) [31,32], soft magnets (FINEMET type) [33,34], and Ni-based superalloys [35]. Thus, we propose this computational design approach, which can be easily adopted in other alloy systems and can help in developing ω-phase free Ti-based biomaterials with improved mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

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Discovery of New Ti-Based Alloys Aimed at Avoiding/Minimizing Formation of α” and ω-Phase Using CALPHAD and Artificial Intelligence

Jha

Dulikravich

2020

Metals

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In this work, we studied a Ti-Nb-Zr-Sn system for exploring novel composition and temperatures that will be helpful in maximizing the stability of β phase while minimizing the formation of α” and ω-phase. The Ti-Nb-Zr-Sn system is free of toxic elements. This system was studied under the framework of CALculation of PHAse Diagram (CALPHAD) approach for determining the stability of various phases. These data were analyzed through artificial intelligence (AI) algorithms. Deep learning artificial neural network (DLANN) models were developed for various phases as a function of alloy composition and temperature. Software was written in Python programming language and DLANN models were developed utilizing TensorFlow/Keras libraries. DLANN models were used to predict various phases for new compositions and temperatures and provided a more complete dataset. This dataset was further analyzed through the concept of self-organizing maps (SOM) for determining correlations between phase stability of various phases, chemical composition, and temperature. Through this study, we determined candidate alloy compositions and temperatures that will be helpful in avoiding/minimizing formation of α” and ω-phase in a Ti-Zr-Nb-Sn system. This approach can be utilized in other systems such as ω-free shape memory alloys. DLANN models can even be used on a common Android mobile phone.

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Section: Identification Of Stable and Metastable Phasesmentioning

confidence: 99%

Section: Identification Of Stable and Metastable Phasesmentioning

confidence: 99%

Section: Dlann Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Discovery of New Ti-Based Alloys Aimed at Avoiding/Minimizing Formation of α” and ω-Phase Using CALPHAD and Artificial Intelligence

Jha

Dulikravich

2020

Metals

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“…Despite the huge potential of the Al-Mg-Sc system alloys developed in industry, scandium remains very expensive and rather di cult to obtain metal [31][32][33]. Therefore, research by various scientists around the world is aimed at studying the possibility of reducing the amount of scandium in aluminum alloys [34,35].…”

Section: Introductionmentioning

confidence: 99%

Physical Modeling of Semi-continuous Casting for Developing an Industrial Technology of Producing Ingots From New Deformable Aluminum Alloys

Bezrukikh

Баранов

Константинов

et al. 2021

Preprint

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A physical model of a semi-continuous casting unit (SCCU) has been manufactured and tested, designed to develop a technology for casting flat and cylindrical ingots from experimental aluminum alloys for subsequent metal forming. The SCCU includes two induction melting furnaces with a tilting mechanism, a rotary mixer, a metal path system, a vertical casting machine, a jib crane, water supply, power supply, monitoring and control systems. SCCU testing was carried out on six heats of alloy 1580 of the Al-Mg system with the addition of scandium. In the first three ingots the scandium content was 0.05% (wt.). In the second series of three heats ingots with 0.075% (wt.) scandium were cast. The ingots had a high surface quality, did not have casting defects, and there were no inclusions of primary intermetallic compounds Al3(Sc, Zr) in the structure of the ingots. The bottom and runner parts of the ingots were cut off, all faces were milled and subjected to homogenization annealing in a two-stage mode: the first heating at 350 °C, 3 h, the second heating for 1 h to 425 °C, 4 h. Then the billets were hot rolled from 40 to 5 mm, annealed at 380 °C, 1 h, rolled at room temperature to a thickness of 1 mm and annealed at 350 °C, 3 h. After that, tensile mechanical properties were tested. The results of modeling ingot casting were tested in industrial conditions when casting a large ingot with a cross section of 2100×500 mm. A template was cut from the ingot with the dimensions of a billet for rolling, as that obtained from an experimental ingot cast at the SCCU. The billet was subjected to hot and cold rolling according to the conditions used for rolling the experimental ingot. At the same time the modes of heat treatment of sheet semi-finished products were also repeated. The mechanical properties of sheets of alloy 1580 rolled from experimental and industrial ingots practically did not differ. This proves the reliability of casting modes for ingots obtained at the SCCU and tested for casting industrial ingots.

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Effect of Minor Sc Addition on Microstructure and Tensile Properties of Hot-Extruded 7055 Alloy

Zhang

Feng²,

Yang³

2022

J. of Materi Eng and Perform

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Solidification and heat treatment simulation for aluminum alloys with scandium addition through CALPHAD approach

Cited by 14 publications

References 30 publications

Discovery of New Ti-Based Alloys Aimed at Avoiding/Minimizing Formation of α” and ω-Phase Using CALPHAD and Artificial Intelligence

Discovery of New Ti-Based Alloys Aimed at Avoiding/Minimizing Formation of α” and ω-Phase Using CALPHAD and Artificial Intelligence

Physical Modeling of Semi-continuous Casting for Developing an Industrial Technology of Producing Ingots From New Deformable Aluminum Alloys

Effect of Minor Sc Addition on Microstructure and Tensile Properties of Hot-Extruded 7055 Alloy

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