On the Time-Temperature-Transformation Behavior of a New Dual-Superlattice Nickel-Based Superalloy

Mignanelli, P. M.; Jones, Nicholas; Hardy, MC; Stone, Howard J.

doi:10.1007/s11661-017-4355-8

Cited by 25 publications

(8 citation statements)

References 25 publications

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“…(3) was set as 800℃ according to the high-temperature mechanical properties of Inconel 718 [44] when the material softening effect occurs, while the overheating temperature 1 in Eq. (4) was selected as its melting point of 1260℃ [45].…”

Section: Inverse Problem Verificationmentioning

confidence: 99%

On modelling of laser assisted machining: Forward and inverse problems for heat placement control

Shang

Liao

Sarasua

et al. 2019

International Journal of Machine Tools and Manufacture

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Laser assisted machining (LAM) is one of the most efficient ways to improve the machinability of difficultto-cut materials (e.g. Nickel-based superalloys). In the conventional LAM process, the laser beam is focused ahead of the cutting area at a fixed location, which leads to a series of restrictions, e.g. small heating area and non-uniform heat distribution due to the limitation of beam size and energy distribution. In this paper, a novel spatially and temporally (S&T) controlled laser heating method was proposed, in which a large area can be heated up with a small laser spot by controlling the beam scanning, i.e., laser power, path and speed of scanning. The laser configuration for the prescribed HAZ (heat affected zone) was achieved by solving the inverse problem where the laser power together with either laser path or laser speed were optimised to achieve a particular temperature distribution in the chip to be removed by the following milling cutter. The proposed S&T laser heating method was thoroughly validated both for the forward and, the more important, inverse heating models by performing extensive temperature experiments by both infrared thermal camera and thermocouple array and further verified by laser assisted milling (LAMill) tests of Inconel 718 for large widths of cuts. The results showed that by applying path-optimised LAMill based on the inverse solution of the thermal problem, the peak and mean principal cutting forces were reduced by 55% and 47.8% respectively compared with the conventional dry milling process while the surface roughness improved by at least 14%. Moreover, after controlling the HAZ using the inverse thermal problem, a microstructure analysis of the machined surface showed that the proposed laser heating method avoids overheating of the workpiece below the planned depth of cut for the milling operation.

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Section: Inverse Problem Verificationmentioning

confidence: 99%

On modelling of laser assisted machining: Forward and inverse problems for heat placement control

Shang

Liao

Sarasua

et al. 2019

International Journal of Machine Tools and Manufacture

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“…The diffusion processes aided atom mobility and mass transfer, which enhanced the formation of metallurgy bonding and intermetallic/solid solution phases. [32] Graphene is an allotrope of carbon seen from the EDS mapping, even though at a minute percentage. The percentage of graphene added is very small, corresponding with the smaller peak observed on the EDS spectrum.…”

Section: B Microstructure Analyses Of a Pure In738lc Alloy And Gnps-in738lc Compositesmentioning

confidence: 99%

Microstructure and Mechanical Properties of Spark Plasma-Sintered Graphene-Reinforced Inconel 738 Low Carbon Superalloy

Ogunbiyi

Sadiku

Adesina

et al. 2021

Metall Mater Trans A

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The effects of the addition of different percentage compositions of graphene nanoplatelets (GNPs) to a nickel-based superalloy were investigated in this study. A spark plasma sintering (SPS) method was employed in the development of the nickel-based alloy/composites, and the developed bulk nickel-based alloy and its composites were from high-purity micron-size powder. Subsequently, the microstructure and mechanical properties (i.e., microhardness and tensile yield strength) were examined. The SPS-processed nickel-based alloy/composite samples exhibited high densification ranging from 97.64 to 98.87 pct. The addition of GNPs greatly influenced the microhardness results, which ranged from 384 to 459 Hv, and the tensile yield strength between 675 and 883 MPa. The results indicated that the addition of graphene nanoplatelets played a significant role in the microstructure and mechanical properties of spark plasma-sintered nickel-based composites. The addition of graphene nanoplatelets caused grain boundary strengthening, load transfer from the matrix to GNPs, and grain boundary strengthening by impeding dislocation movement. Coupled with the improvement caused by GNPs is the enhancement of the mechanical properties of the materials developed as a result of the high relative density values obtained.

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“…Table I shows the nominal composition of IN718 and a derivative IN718M without γ forming elements. Recent studies aim at deliberate co-precipitation of γ and γ to exploit ripening inhibiting effects [6,7] and a dual lattice microstructure [8,9]. IN718 powders also gain importance for additive manufacturing in the industrial environment [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Phase-field modeling of γ/γ″ microstructure formation in Ni-based superalloys with high γ″ volume fraction

et al. 2020

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The excellent mechanical properties of the Ni-based superalloy IN718 mainly result from coherent γ precipitates. Due to a strongly anisotropic lattice misfit between the matrix and the precipitate phase, the particles exhibit pronounced plate-shaped morphologies. Using a phase-field model, we investigate various influencing factors that determine the equilibrium shapes of γ precipitates, minimizing the sum of the total elastic and interfacial energy. Upon increasing precipitate phase fractions, the model predicts increasingly stronger particle-particle interactions, leading to shapes with significantly increased aspect ratios. Matching the a priori unknown interfacial energy density to fit experimental γ shapes is sensitive to the phase content imposed in the underlying model. Considering vanishing phase content leads to 30 % lower estimates of the interfacial energy density, as compared to estimates based on realistic phase fractions of 12 %. We consider the periodic arrangement of precipitates in different hexagonal and rectangular superstructures, which result from distinct choices of point-symmetric and periodic boundary conditions. Further, non-volume conserving boundary conditions are implemented to compensate for strains due to an anisotropic lattice mismatch between the γ matrix and the γ precipitate. As compared to conventional boundary conditions, this specifically tailored simulation configuration does not conflict with the systems periodicity and provides substantially more realistic total elastic energies at high precipitate volume fractions. The energetically most favorable superstructure is found to be a hexagonal precipitate arrangement.c 2020. The manuscript is made available under the license CC-BY-NC-ND 4.0

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On the Time-Temperature-Transformation Behavior of a New Dual-Superlattice Nickel-Based Superalloy

Cited by 25 publications

References 25 publications

On modelling of laser assisted machining: Forward and inverse problems for heat placement control

On modelling of laser assisted machining: Forward and inverse problems for heat placement control

Microstructure and Mechanical Properties of Spark Plasma-Sintered Graphene-Reinforced Inconel 738 Low Carbon Superalloy

Phase-field modeling of γ/γ″ microstructure formation in Ni-based superalloys with high γ″ volume fraction

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