Model-free data-driven inelasticity in Haigh–Westergaard space — A study how to obtain data points from measurements

Ciftci, Kerem; Hackl, Klaus

doi:10.1016/j.cma.2023.116352

Cited by 2 publications

(1 citation statement)

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“…When a material exceeds its yield point (σ y , yield stress), it experiences a strain-hardening phenomenon, leading to increased load and energy [6] required for material deformation [7]. Two hardening models address elastoplastic scenarios: (1) isotropic hardening, which refers to a material's ability to uniformly increase its yield strength and stiffness under repeated loading without changing the shape or orientation of its yield surface [8], and (2) kinematic hardening, which, in turn, involves changes in the material's yield surface shape and orientation, but not its size, in response to plastic deformation [9]. Understanding the depiction of material behaviour is paramount, particularly concerning how strain (ε), the strain rate ( .…”

Section: Introduction 1materials Numerical Modellingmentioning

confidence: 99%

INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review

Pedroso,

Sebbe,

Costa

et al. 2024

JMMP

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Machining INCONEL® presents significant challenges in predicting its behaviour, and a comprehensive experimental assessment of its machinability is costly and unsustainable. Design of Experiments (DOE) can be conducted non-destructively through Finite Element Analysis (FEA). However, it is crucial to ascertain whether numerical and constitutive models can accurately predict INCONEL® machining. Therefore, a comprehensive review of FEA machining strategies is presented to systematically summarise and analyse the advancements in INCONEL® milling, turning, and drilling simulations through FEA from 2013 to 2023. Additionally, non-conventional manufacturing simulations are addressed. This review highlights the most recent modelling digital solutions, prospects, and limitations that researchers have proposed when tackling INCONEL® FEA machining. The genesis of this paper is owed to articles and books from diverse sources. Conducting simulations of INCONEL® machining through FEA can significantly enhance experimental analyses with the proper choice of damage and failure criteria. This approach not only enables a more precise calibration of parameters but also improves temperature (T) prediction during the machining process, accurate Tool Wear (TW) quantity and typology forecasts, and accurate surface quality assessment by evaluating Surface Roughness (SR) and the surface stress state. Additionally, it aids in making informed choices regarding the potential use of tool coatings.

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