Effects of processing heterogeneities on the micro- to nanostructure strengthening mechanisms of an alloy 718 turbine disk

Rielli, Vitor Vieira; Godor, Flora; Gruber, Christian; Stanojević, Aleksandar; Oberwinkler, Bernd; Primig, Sophie

doi:10.1016/j.matdes.2021.110295

Cited by 25 publications

(4 citation statements)

References 75 publications

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“…In recent years, it has been subjected to several studies aimed at understanding its mechanical properties as a function of microstructural features introduced by varying parameters during PBF processing [55,[147][148][149]. In conventionally manufactured IN718, the high strength is a result of a combination of strengthening factors including grain size, solid solution, residual stress, and precipitation [150,151]. Zhang et al [145] recently demonstrated the influence of these strengthening effects in L-PBF IN718, where precipitation is reported to be the largest contributor to strength.…”

Section: Matrix Phasementioning

confidence: 99%

Powder bed fusion additive manufacturing of Ni-based superalloys: a review of the main microstructural constituents and characterization techniques

et al. 2022

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Metal additive manufacturing (AM) has unlocked unique opportunities for making complex Ni-based superalloy parts with reduced material waste, development costs, and production lead times. Considering the available AM methods, powder bed fusion (PBF) processes, using either laser or electron beams as high energy sources, have the potential to print complex geometries with a high level of microstructural control. PBF is highly suited for the development of next generation components for the defense, aerospace, and automotive industries. A better understanding of the as-built microstructure evolution during PBF of Ni-based superalloys is important to both industry and academia because of its impacts on mechanical, corrosion, and other technological properties, and, because it determines post-processing heat treatment requirements. The primary focus of this review is to outline the individual phase formations and morphologies in Ni-based superalloys, and their correlation to PBF printing parameters. Given the hierarchal nature of the microstructures formed during PBF, detailed descriptions of the evolution of each microstructural constituent are required to enable microstructure control. Ni-based superalloys microstructures commonly include γ, γ′, γ′′, $$\delta$$ δ , TCP, carbides, nitrides, oxides, and borides, dependent on their composition. A thorough characterization of these phases remains challenging due to the multi-scale microstructural hierarchy alongside with experimental challenges related to imaging secondary phases that are often nanoscale and (semi)-coherent. Hence, a detailed discussion of advanced characterization techniques is the second focus of this review, to enable a more complete understanding of the microstructural evolution in Ni-based superalloys printed using PBF. This is with an expressed goal of directing the research community toward the tools necessary for a thorough investigation of the processing-microstructure-property relationships in PBF Ni-based superalloy parts to enable microstructural engineering.

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Section: Matrix Phasementioning

confidence: 99%

Powder bed fusion additive manufacturing of Ni-based superalloys: a review of the main microstructural constituents and characterization techniques

et al. 2022

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“…For turbine blade-disc systems assembled by multiple components (i.e. turbine blades, turbine discs), the individual components such as blades and discs are often interrelated and jointly influence the system reliability [9,10]. To accurately describe the reliability of the complex bladedisc system with different material properties, it is often necessary to collaboratively analyse multiple components [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Fatigue reliability analysis of aeroengine blade-disc systems using physics-informed ensemble learning

Li,

Song,

Choy

et al. 2023

Phil. Trans. R. Soc. A.

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For the fatigue reliability analysis of aeroengine blade-disc systems, the traditional direct integral modelling methods or separate independent modelling methods will lead to low computational efficiency or accuracy. In this work, a physics-informed ensemble learning (PIEL) method is proposed, i.e. firstly, based on the physical characteristics of blade-disc systems, the complex multi-component reliability analysis is split into a series of single-component reliability analyses; moreover, the PIEL model is established by introducing the mapping of multiple constitutive responses and the multi-material physical characteristics into the ensemble learning; finally, the PIEL-based system reliability framework is established by quantifying the failure correlation with the Copula function. The reliability analysis of a typical aeroengine high-pressure turbine blade-disc system is regarded as an example to verify the effectiveness of the proposed method. Compared with the direct Monte Carlo, support vector regression, neural network, ensemble learning and physics-informed neural network, the proposed method exhibits the highest computing accuracy and efficiency, and is validated to be an efficient method for the reliability analysis of blade-disc systems. The current work can provide a novel insight for physics-informed modelling and fatigue reliability analyses. This article is part of the theme issue 'Physics-informed machine learning and its structural integrity applications (Part 1)'.

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“…However, the practical application is still limited due to poor processing performance, high deformation resistance, and complex heat treatment process parameters [3] . Nevertheless, the hot-forming process significantly depends on the nonlinear relationship between the microstructural evolution and deformation parameters [4,5]. Moreover, different metallurgical mechanisms, such as strain hardening, dynamic softening, and dynamic recrystallization (DRX), are affected by the deformation conditions [6].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Hot Deformation behavior for Ultra-High Strength (UHS) Steel containing Tungsten

El-Bitar,

ElMeligy,

Borek

et al. 2023

Acta Metall Slovaca

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The steel alloy of the current study contains 0.3% carbon with different amounts of Cr, and Mo, in addition to W. Single simulation hits were designed as isothermal passes for compressive hot deformation up to 0.5 true strain. Each simulation compressive pass was carried out at temperatures, 1050, 950, 850 and 750 oC, with strain rates 0.1 and 1.0 sec-1. A numerical computational model is used for formulation of the alloy hot flow behavior at the specified conditions. The model considers inseparable strain hardening mechanism and dynamic softening phenomenon. It is noticed that high deformation temperature lowers the flow stress value (σf), while the increase of the strain rate raises it. The flow curves reveal initial high strain hardening phenomena in combination with low dynamic softening features. With the increase of strain, the dynamic softening, becomes dominant, and the flow stress gradually drops until a relatively stable stress level. Predicted flow curves were then constructed and compared with their counterpart experimental flow curves. The predicted flow curves are typically matching the counterpart experimental ones.

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Effects of processing heterogeneities on the micro- to nanostructure strengthening mechanisms of an alloy 718 turbine disk

Cited by 25 publications

References 75 publications

Powder bed fusion additive manufacturing of Ni-based superalloys: a review of the main microstructural constituents and characterization techniques

Powder bed fusion additive manufacturing of Ni-based superalloys: a review of the main microstructural constituents and characterization techniques

Fatigue reliability analysis of aeroengine blade-disc systems using physics-informed ensemble learning

Characterization of Hot Deformation behavior for Ultra-High Strength (UHS) Steel containing Tungsten

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