OPTIMIZATION OF LAYER TIME IN LARGE SCALE ADDITIVE MANUFACTURING WITH FIBER REINFORCED POLYMER COMPOSITES

Eonyeon Jo, Lu Liu, Feng Ju, Dylan Hoskins, Deepak Kumar Pokkalla, Vlastimil Kunc, Uday Vaidya, Seokpum Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A method to optimize layer deposition time (a.k.a. layer time) was developed for large-scale additive manufacturing (AM) using physics-based simulations. A long layer time leads to deposition of new layer on an over-cooled surface resulting in weak bonding or debonding, cracking, or warping between layers. On the other hand, a short layer time results in a high temperature of the structure due to insufficient cooling and thus, the structure may not be stiff enough or collapse during manufacturing. To this end, optimizing layer time in additive manufacturing is crucial to obtain a high-quality product. The recommendation for quality printing to deposit a new layer when the temperature of the top layer is slightly higher than the glass temperature of the material. Approximating cooling as an exponential function of time, an optimized layer time can be obtained based on a target temperature while maintaining a minimal print time. In this study on layer time optimization, a large-scale deposition system (LSAM TM, Thermwood Corporation) was used printing carbon fiber-reinforced polycarbonate (CF/PC). Three different layer times were investigated experimentally, and a series of thermal images were obtained using infra-red (IR) camera during the entire manufacturing process. AM process simulations were performed using finite element method for three different layer times. The temperature profiles from numerical simulations matched well with the experiments. Using these temperature profiles, optimization for layer time was performed.

Original languageEnglish (US)
Title of host publicationSAMPE 2022 Conference and Exhibition
PublisherSoc. for the Advancement of Material and Process Engineering
ISBN (Electronic)9781934551417
StatePublished - 2022
Externally publishedYes
EventSAMPE 2022 Conference and Exhibition - Charlotte, United States
Duration: May 23 2022May 26 2022

Publication series

NameInternational SAMPE Technical Conference
Volume2022-May

Conference

ConferenceSAMPE 2022 Conference and Exhibition
Country/TerritoryUnited States
CityCharlotte
Period5/23/225/26/22

Keywords

  • Large scale additive manufacturing
  • carbon fiber reinforced composites
  • layer time optimization

ASJC Scopus subject areas

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering

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