Dual material system for polymer large scale additive manufacturing

Tyler Smith, Ahmed Arabi Hassen, Randall Lind, John Lindahl, Phillip Chesser, Alex Roschli, Vipin Kumar, Vidya Kishore, Brian Post, Jordan Failla, Chad Duty, Lonnie Love, Vlastimil Kunc

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

Big Area Additive Manufacturing (BAAM) technology allows for manufacturing of large-scale objects with a potential to reduce energy embedded in products, reduce or eliminate energy necessary for transportation of goods along with reducing the lead time and cost in some cases. Over the last few years, Oak Ridge National Laboratory (ORNL) has been focusing on large-scale printing of single material systems, typically un-reinforced or short fiber reinforced polymers, in order to address needs in stiffness-limited applications. This paper describes the development of a multi-material large-scale AM system through a collaboration with Cincinnati Inc. and Performance Feed Screw Inc. Modifications to the Big Area Additive Manufacturing (BAAM) system includes a new extruder design to accommodate a dual feed system, an expanded two-dryer system with a capacity of 273 kg/dryer, and a system that is capable of mixing pelletized materials up to 60Kg/hr. This article highlights the advantages and limitations of the multi-material system as well as potential applications.

Original languageEnglish
StatePublished - 2020
EventInternational SAMPE Conference and Exhibition 2020 - Virtual, Online
Duration: Jun 1 2020Jun 1 2020

Conference

ConferenceInternational SAMPE Conference and Exhibition 2020
CityVirtual, Online
Period06/1/2006/1/20

Funding

Large scale AM machine used in this research was sponsored by Cincinnati Inc., Feedstock materials used in this work were provided by Techmer PM., TN, USA. This research was supported in part by an appointment to the Oak Ridge National Laboratory Higher Education Research Experience (HERE) Program, sponsored by the U.S. Department of Energy and administered by the Oak Ridge Institute for Science and Education. Research sponsored by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office, under contract DE-AC05-00OR22725 with UT-Battelle, LLC. This research was supported in part by an appointment to the Oak Ridge National Laboratory Advanced Short-Term Research Opportunity (ASTRO) Program, sponsored by the U.S. Department of Energy and administered by the Oak Ridge Institute for Science and Education.

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