Extrusion control for high quality printing on Big Area Additive Manufacturing (BAAM) systems

Chesser, Phillip; Post, Brian; Roschli, Alex; Carnal, Charles; Lind, Randall; Borish, Michael; Love, Lonnie

doi:10.1016/j.addma.2019.05.020

Title: Extrusion control for high quality printing on Big Area Additive Manufacturing (BAAM) systems

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Abstract

Big Area Additive Manufacturing (BAAM) is a large format additive manufacturing (AM) process. The size scale has enabled many new applications for AM. However, at this scale, lack of high print resolution and extruder flowrate control lead to potentially significant geometric deviations in the printed part. This paper examines strategies to improve geometric quality in BAAM parts. Multi-resolution printing, extrusion diversion, and feedforward extruder control are examined herein. Furthermore, these methods were all found to be effective in mitigating phenomena detrimental to geometric part quality on the BAAM process.

Authors:

Chesser, Phillip ^[1];

^[1]; Roschli, Alex ^[1];

^[2];

^[1];

^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Tennessee Technological Univ., Cookeville, TN (United States)

Publication Date:: Sun May 19 00:00:00 EDT 2019

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

OSTI Identifier:: 1530113

Alternate Identifier(s):: OSTI ID: 1694299

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: Additive Manufacturing

Additional Journal Information:: Journal Volume: 28; Journal Issue: C; Journal ID: ISSN 2214-8604

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 36 MATERIALS SCIENCE; Big Area Additive Manufacturing; Multi-resolution printing; Feedforward control; High quality; Geometric tolerance

Citation Formats


                    Chesser, Phillip, Post, Brian, Roschli, Alex, Carnal, Charles, Lind, Randall, Borish, Michael, and Love, Lonnie. Extrusion control for high quality printing on Big Area Additive Manufacturing (BAAM) systems.  United States: N. p., 2019. 
Web.  doi:10.1016/j.addma.2019.05.020.

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                    Chesser, Phillip, Post, Brian, Roschli, Alex, Carnal, Charles, Lind, Randall, Borish, Michael, & Love, Lonnie. Extrusion control for high quality printing on Big Area Additive Manufacturing (BAAM) systems.  United States.  https://doi.org/10.1016/j.addma.2019.05.020

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                    Chesser, Phillip, Post, Brian, Roschli, Alex, Carnal, Charles, Lind, Randall, Borish, Michael, and Love, Lonnie. Sun .  
"Extrusion control for high quality printing on Big Area Additive Manufacturing (BAAM) systems".  United States.  https://doi.org/10.1016/j.addma.2019.05.020.  https://www.osti.gov/servlets/purl/1530113.

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@article{osti_1530113,

  title        = {Extrusion control for high quality printing on Big Area Additive Manufacturing (BAAM) systems},

  author       = {Chesser, Phillip and Post, Brian and Roschli, Alex and Carnal, Charles and Lind, Randall and Borish, Michael and Love, Lonnie},

  abstractNote = {Big Area Additive Manufacturing (BAAM) is a large format additive manufacturing (AM) process. The size scale has enabled many new applications for AM. However, at this scale, lack of high print resolution and extruder flowrate control lead to potentially significant geometric deviations in the printed part. This paper examines strategies to improve geometric quality in BAAM parts. Multi-resolution printing, extrusion diversion, and feedforward extruder control are examined herein. Furthermore, these methods were all found to be effective in mitigating phenomena detrimental to geometric part quality on the BAAM process.},

  doi          = {10.1016/j.addma.2019.05.020},

  journal      = {Additive Manufacturing},

  number       = C,

  volume       = 28,

  place        = {United States},

  year         = {Sun May 19 00:00:00 EDT 2019},

  month        = {Sun May 19 00:00:00 EDT 2019}

}

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