ASCC researchers developing a more efficient modeling method for 3D Printing design and manufacturing

An article by Advanced Structures and Composites Center (ASCC) researchers Sunil Bhandari and Roberto A. Lopez-Anido has been published in the Proceedings of the American Society for Composites 38th Technical Conference. The publication titled “Efficient residual stress modeling for large-format polymer composite extrusion-based additive manufacturing” researches the development of computer modeling for large-format polymer composite extrusion-based additive manufacturing (3D Printing). This is essential work for further developing large 3D-printed objects and the materials used to print them, such as the ASCC’s BioHome3D and 3Dirigo

Efficient residual stress modeling for large-format polymer composite extrusion-based additive manufacturing

Sunil Bhandari & Roberto A. Lopez-Anido

Proceedings of the American Society for Composites 38th Technical Conference (2023)

https://www.dpi-proceedings.com/index.php/asc38/article/view/36573

Abstract

Residual stresses are generated in thermoplastic composite parts produced using extrusion-based additive manufacturing (AM). The layer-by-layer deposition of molten thermoplastic composite material and the subsequent cooldown results in the differential thermal contraction of the deposited layers, giving rise to residual stress in the additively manufactured parts. These residual stresses depend on the material properties of the polymer composite and the processing parameters used during the AM process. The residual stresses affect the mechanical performance and the final printed shape of the manufactured part. Efficient numerical modeling methods can predict residual stresses for AM parts and hence help design geometrically accurate and mechanically reliable parts. However, large-scale AM introduces computational challenges for evaluating residual stresses due to the large number of degrees of freedom in the numerical models. This research work explores the use of an explicit thermal model and a mesh merging technique to expedite the numerical analysis of thermal history and residual stresses in large-scale additively manufactured thermoplastic composite parts. The goal of the research is to develop an efficient modeling method for aiding the design of AM polymer composite parts.

Keywords: Additive Manufacturing (AM), Large-scale Additive Manufacturing, Thermoplastic Composites, Residual Stresses, Polymer Composites

Contact: Amy Blanchard, amy.i.blanchard@maine.edu