Microsegregation behavior during solidification and homogenization of AerMet100 steel

Lippard, H.E.; Campbell, Carelyn E.; Dravid, Vinayak P.; Olson, Gregory B.; Björklind, Tobias; Borggren, Ulrika; Kellgren, P.

doi:10.1007/s11663-998-0023-0

Cited by 45 publications

(26 citation statements)

References 7 publications

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“…Here, the fraction of solid is equivalent to position relative to a dendrite arm center. Previous comparison with more rigorous calculations incorporating solid back diffusion indicate that the Scheil result at 95% solid is a reasonable estimate of the maximum microsegregation amplitude under typical ingot solidification conditions [43]. The results presented in Table 2 predict that Mo has the greatest potential for segregation.…”

Section: Scheil Simulation For Microsegregation Behaviormentioning

confidence: 75%

Computer-aided design of transformation toughened blast resistant naval hull steels: Part I

Saha

Olson

2007

J Computer-Aided Mater Des

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A systematic approach to computer-aided materials design has formulated a new class of ultratough, weldable secondary hardened plate steels combining new levels of strength and toughness while meeting processability requirements. A theoretical design concept integrated the mechanism of precipitated nickel-stabilized dispersed austenite for transformation toughening in an alloy strengthened by combined precipitation of M 2 C carbides and BCC copper both at an optimal ∼3 nm particle size for efficient strengthening. This concept was adapted to plate steel design by employing a mixed bainitic/martensitic matrix microstructure produced by air-cooling after solution-treatment and constraining the composition to low carbon content for weldability. With optimized levels of copper and M 2 C carbide formers based on a quantitative strength model, a required alloy nickel content of 6.5 wt% was predicted for optimal austenite stability for transformation toughening at the desired strength level of 160 ksi (1,100 MPa) yield strength. A relatively high Cu level of 3.65 wt% was employed to allow a carbon limit of 0.05 wt% for good weldability, without causing excessive solidification microsegregation.

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Section: Scheil Simulation For Microsegregation Behaviormentioning

confidence: 75%

Computer-aided design of transformation toughened blast resistant naval hull steels: Part I

Saha

Olson

2007

J Computer-Aided Mater Des

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“…[2,3,6] If a sample of the cast microstructure can be obtained, the segregation across a dendrite arm can be profiled and the homogenization modeled with thermodynamic modeling software such as diffusion-controlled transformations (DICTRA). [7] Such a homogenization treatment can be important, especially for Ni-based superalloys that are designed to be slow diffusing for high-temperature mechanical and microstructural stability. While a traditional brute force approach to diffusion calculations may work to design a homogenization heat treatment for simple alloys, this approach is not practical in the case of Ni-based superalloys.…”

Section: Introductionmentioning

confidence: 99%

Homogenizing a Nickel-Based Superalloy: Thermodynamic and Kinetic Simulation and Experimental Results

Jablonski

Cowen

2009

Metall Mater Trans B

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If the chemical inhomogeneity profile is known a priori, kinetic modeling software such as diffusion-controlled transformations (DICTRA) can be used to model the homogenization kinetics of an alloy. In this study, the Scheil module within the Thermo-Calc software was used to predict the as-cast segregation present within the Ni-based superalloy Nimonic 105. The segregation profiles were read into DICTRA to refine the homogenization heat treatment of this alloy. The thermodynamic and kinetic modeling of the computationally predicted heat treatment and microstructure, and subsequent experimental verification on a real casting of Nimonic 105, are presented.

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“…In a systems design for Co-Ni UHS steel, several methods were applied for improving both toughness and strength synergistically in the steel research group (SRG) consortium centred at Northwestern University. 15,[62][63][64][65][66][67][68] The related design efforts for enhancing both strength and toughness are summarised in Figure 8, which focuses on (i) ductile-brittle transition temperature (DBTT), 69,70 (ii) enhancement of interphase chemical bonding to delay microvoid softening and (iii) transformation toughening. Further, as hydrogen embrittlement can promote brittle intergranular fracture, grain boundary (GB) chemistry optimisation is also a primary requirement as indicated in Figures 7 and 8.…”

Section: Materials By Design: Design Enginementioning

confidence: 99%

Cybermaterials: materials by design and accelerated insertion of materials

Xiong

Olson

2016

npj Comput Mater

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Cybermaterials innovation entails an integration of Materials by Design and accelerated insertion of materials (AIM), which transfers studio ideation into industrial manufacturing. By assembling a hierarchical architecture of integrated computational materials design (ICMD) based on materials genomic fundamental databases, the ICMD mechanistic design models accelerate innovation. We here review progress in the development of linkage models of the process-structure-property-performance paradigm, as well as related design accelerating tools. Extending the materials development capability based on phase-level structural control requires more fundamental investment at the level of the Materials Genome, with focus on improving applicable parametric design models and constructing high-quality databases. Future opportunities in materials genomic research serving both Materials by Design and AIM are addressed. BACKGROUND: ICMD BLUEPRINTThe far-reaching multi-agency enterprise, Materials Genome Initiative (MGI), 1,2 highlights computational materials design techniques grounded in fundamental databases, which can support an ambition of decreasing the full development cycle of new materials from the present 10-20 years to ⩽ 5 years. As a subfield of the broader field of integrated computational materials engineering (ICME), which includes modelling of existing materials, 3,4 the MGI centres on design of new materials and their accelerated qualification through the inherent predictability of designed systems. Creation of the infrastructure of this technology has been a global activity as summarised in a recent series of viewpoint papers on materials genomics. 5-10 Particularly notable has been the design work of Bhadeshia 8 at the University of Cambridge and his former students including Harada 11,12 and Reed. 13 The highest achievements of full cycle compression have been demonstrated in US research, which will be the focus of this paper.In the development of applied engineering materials design powered by fundamental thermodynamic and kinetic genomic databases, a hierarchical infrastructure called ICMD presents a proven scenario of materials genomic design for accelerated engineering innovation. As indicated in Figure 1, the backbone of the ICMD infrastructure is composed of Materials by Design and accelerated insertion of materials (AIM) techniques. The application of both techniques spans the entire course of materials innovation, which can be divided into three phases: concept implementation, materials and processing design, and material qualification. The quality of the materials innovation is determined by the mechanistic models applied in the ICMD framework, which follow the universal process-structure-property-performance paradigm in materials science. 14 In Materials by Design, both process-structure and structure-property models are evaluated and refined to maximise the model-predictability grounded in the Materials Genome, which is powered by fundamental research on

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Microsegregation behavior during solidification and homogenization of AerMet100 steel

Cited by 45 publications

References 7 publications

Computer-aided design of transformation toughened blast resistant naval hull steels: Part I

Computer-aided design of transformation toughened blast resistant naval hull steels: Part I

Homogenizing a Nickel-Based Superalloy: Thermodynamic and Kinetic Simulation and Experimental Results

Cybermaterials: materials by design and accelerated insertion of materials

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