Prediction of plasticity and damage initiation behaviour of C45E + N steel by micromechanical modelling

Wu, Bo; Vajragupta, Napat; Lian, Junhe; Hangen, Ude; Wechsuwanmanee, Peerapon

doi:10.1016/j.matdes.2017.02.032

Cited by 26 publications

(18 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, access to such testing devices is still very limited to only a few labs. Assumptions can be made to upscale the damage initiation by a localization criterion, [ 42,43 ] but it is so far only valid for dual‐phase materials and not yet generalized. Therefore, in this work, the damage initiation criterion is modeled by defining a lower limit for the equivalent plastic strain.…”

Section: Micromechanical Modelingmentioning

confidence: 99%

Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling

et al. 2020

View full text Add to dashboard Cite

In recent times, additive manufacturing (AM) has proven to be an indispensable technique for processing complex 3D parts because of the versatility and ease of fabrication it offers. However, the generated microstructures show a high degree of complexity due to the complex solidification process of the melt pool. In this study, micromechanical modeling is applied to gain deeper insight into the influence of defects on plasticity and damage of 316L stainless steel specimens produced by a laser powder bed fusion (L‐PBF) process. With the statistical data obtained from microstructure characterization, the complex AM microstructures are modeled by a synthetic microstructure generation tool. A damage model in combination with an element deletion technique is implemented into a nonlocal crystal plasticity model to describe anisotropic mechanical behavior, including damage evolution. The element deletion technique is applied to effectively model the growth and coalescence of microstructural pores as described by a damage parameter. Numerical simulations show that the shape of the pores not only affects the yielding and hardening behavior but also influences the porosity evolution itself.

show abstract

Section: Micromechanical Modelingmentioning

confidence: 99%

Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The modelling approach using these two constituents has been applied to many studies correlating the microstructure features and the mechanical properties, such as the anisotropic plasticity [33][34][35], ductile damage initiation behaviour [36,37] and the grain-level residual stresses by mechanical loading [38,39]. Concerning the recent microstructure-sensitive modelling activities of the fatigue properties, Brückner-Foit and Huang [40] simulated the micro-crack initiation of martensitic steel under cyclic loading.…”

Section: Introductionmentioning

confidence: 99%

Microstructure-based fatigue modelling with residual stresses: Prediction of the microcrack initiation around inclusions

Lian

Bao

et al. 2019

Materials Science and Engineering: A

View full text Add to dashboard Cite

In the investigation of fatigue properties of metals, the microstructure-based modelling has shown its powerful applicability in predicting the microcrack initiation as well as the fatigue life. However, proper treatment of the inclusions, which are the major fatigue crack trigger especially for the very high cycle fatigue regime, is still missing. It is emphasised that in addition to the geometrical representation and the basic mechanical properties assignment of the inclusions, the residual stresses developed between the steel matrix and inclusions during the cooling processes due to their distinct thermal expansion coefficients play a non-negligible role in determining the fatigue properties. Therefore, it is aimed, in this study, to propose a microstructure-based modelling approach to account for the effects of residual stresses induced by the rapid cooling process on the fatigue crack initiation behaviour of a martensitic steel, for which the majority of the fatigue crack is formed around the calcium aluminate inclusions in experiments. The entire approach is decomposed into two processes: i) simulation of the cooling process to obtain the residual stress profile around the inclusion and ii) conducting the fatigue simulation using a crystal plasticity model including the mapped residual stress profile from the previous step. It is shown that the proposed approach accurately predicts the fatigue crack initiation sites around the inclusions corresponding to the experimental findings, while the modelling approach without the residual stresses fails to predict the correct locations of the crack initiation, revealing the necessity to consider the residual stresses for the future fatigue modelling and assessment.

show abstract

“…As shown in previous studies, this research topic continues to be of great interest for the engineering and scientific community. [34,36,48,55,[65][66][67] A classical approach for studying the nanomechanical behavior of polycrystalline alloys is the nanoindentation modeling with crystal plasticity. [55,[68][69][70] Other research studies inversely identify hardening properties such as hardening exponents by implementing artificial neural network.…”

mentioning

confidence: 99%

Nanomechanical Characterization of the Deformation Response of Orthotropic Ti–6Al–4V

et al. 2021

View full text Add to dashboard Cite

The research interest in titanium alloys lies in the fact that their exceptional mechanical properties make them ideal for specific industrial applications, such as biomedical, aerospace, and military industries. [1][2][3] Despite its high cost, Ti-6Al-4V alloy is currently the most widely used titanium alloy, [4] combining good biocompatibility and corrosion resistance, [5][6][7][8][9][10] high strength, low weight, and ductility. [11][12][13][14][15][16] Several manufacturing processes among the aforementioned applications contemplate the implementation of material characterization procedures, either on pristine samples of the material or on previously manufactured parts. The most commonly applied experimental procedures to identify the macroscopic orthotropic elastoplastic properties of a material include monotonic tensile, [17,18] compression, [19,20] and shear [21,22] tests of material samples obtained from its orthogonal directions. The main limitations of these tests are the size of the specimens and their subsequent destruction,

show abstract

Prediction of plasticity and damage initiation behaviour of C45E + N steel by micromechanical modelling

Cited by 26 publications

References 32 publications

Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling

Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling

Microstructure-based fatigue modelling with residual stresses: Prediction of the microcrack initiation around inclusions

Nanomechanical Characterization of the Deformation Response of Orthotropic Ti–6Al–4V

Contact Info

Product

Resources

About