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Influence of Microstructural Features on the Strain Hardening Behavior of Additively Manufactured Metallic Components
Author(s) -
Biswas Abhishek,
Prasad Mahesh R. G.,
Vajragupta Napat,
ul Hassan Hamad,
Brenne Florian,
Niendorf Thomas,
Hartmaier Alexander
Publication year - 2019
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.201900275
Subject(s) - materials science , microstructure , strain hardening exponent , work hardening , texture (cosmology) , anisotropy , composite material , hardening (computing) , representative elementary volume , metallurgy , image (mathematics) , physics , layer (electronics) , quantum mechanics , artificial intelligence , computer science
Additive manufacturing (AM) has recently become one of the key manufacturing processes in the era of Industry 4.0 because of its highly flexible production scheme. Due to complex thermal cycles during the manufacturing process itself and special solidification conditions, the microstructure of AM components often exhibits elongated grains together with a pronounced texture. These microstructural features significantly contribute to an anisotropic mechanical behavior. In this work, the microstructure and mechanical properties of additively manufactured samples of 316L stainless steel are characterized experimentally and a micromechanical modeling approach is employed to predict the macroscopic properties. The objective of this work is to study the effects of texture and microstructural morphology on yield strength and strain hardening behavior of face‐centered cubic additively manufactured metallic components. To incorporate the texture in synthetic representative volume elements (RVE), the proposed approach considers both the crystallographic and grain boundary textures. The mechanical behavior of these RVEs is modeled using crystal plasticity finite element method, which incorporates size effects through the implementation of strain gradients.