Published January 2018 | Version v1
Journal article

Micromechanics modeling of metallic alloys 3D printed by selective laser melting

  • 1. S.M. Wu Manufacturing Research Center, College of Engineering, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109 (United States)
  • 2. Department of Mechanical Engineering, Graduate University of Advanced Technology, Kerman (Iran, Islamic Republic of)
  • 3. Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061 (United States)

Description

Highlights: • Developing a novel method to generate actual micro structures of SLM components • Developing a computational model for predicting the mechanical response of SLM materials • Capturing the effect of processing defects on mechanical properties of SLM materials Nowadays, additive manufacturing of metallic materials plays a key role in manufacturing technology due to its unique capability of printing strong and complicated components with high precision. Currently, the approach to obtain a specific mechanical performance in 2D printed metallic parts is a challenging and expensive iterative process. Using computational models to predict the mechanical properties of selective laser melting (SLM) metallic alloys based on their microscopic features can be leveraged to reduce the iteration cost for obtaining the desired mechanical properties. An accurate computational model will also be a superior tool to investigate practical modifications in the processing parameters to improve the mechanical performance of 3D printed metals. In this paper, a novel technique is developed to study the correlation between microstructural features, including melt pools and grain structures, and the macroscopic mechanical properties of SLM products. Crystal plasticity is utilized and calibrated to represent the material properties of grains. The capability of the model in considering the role of texture, process defects, mechanical loading direction, and laser scan hatch space on the mechanical behavior of SLM parts are evaluated. The good agreement between the obtained results and the reported experimental data confirms the accuracy of the developed computational model.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.matdes.2017.10.026

Additional details

Identifiers

DOI
10.1016/j.matdes.2017.10.026;
PII
S0264127517309462;

Publishing Information

Journal Title
Materials and Design
Journal Volume
137
Journal Page Range
p. 204-213
ISSN
0264-1275
CODEN
MADSD2

Optional Information

Copyright
Copyright (c) 2017 Elsevier Ltd. All rights reserved.