Non-destructive simulation of node defects in additively manufactured lattice structures

B Lozanovski; D Downing; R Tino; A du Plessis; P Tran; J Jakeman; D Shidid; C Emmelmann; M Qian; P Choong; M Brandt; M Leary

Journal article

Non-destructive simulation of node defects in additively manufactured lattice structures

B Lozanovski, D Downing, R Tino, A du Plessis, P Tran, J Jakeman, D Shidid, C Emmelmann, M Qian, P Choong, M Brandt, M Leary

Additive Manufacturing | Elsevier | Published : 2020

DOI: 10.1016/j.addma.2020.101593

Abstract

Additive Manufacturing (AM), commonly referred to as 3D printing, offers the ability to not only fabricate geometrically complex lattice structures but parts in which lattice topologies in-fill volumes bounded by complex surface geometries. However, current AM processes produce defects on the strut and node elements which make up the lattice structure. This creates an inherent difference between the as-designed and as-fabricated geometries, which negatively affects predictions (via numerical simulation) of the lattice's mechanical performance. Although experimental and numerical analysis of an AM lattice's bulk structure, unit cell and struts have been performed, there exists almost no resea..

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University of Melbourne Researchers

Peter Choong Author

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ARC TRAINING CENTRE IN ADDITIVE BIOMANUFACTURING

The training centre aims to bring together leading researchers and industry to develop and translate key technology platforms for personalis..

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Awarded by RMIT University

Funding Acknowledgements

The authors acknowledge the use of facilities within the RMIT Advanced Manufacturing Precinct and the RMIT Microscopy and Microanalysis Facility (RMMF). This research was conducted by the Australian Research Council Industrial Transformation Training Centre in Additive Biomanufacturing (IC160100026). http://www.additiveb iomanufacturing.org. Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA-0003525. The views expressed in the article do not necessarily represent the views of the U.S. Department of Energy or the United States Government. John Jakeman's work was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program.