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Statistical process control application to polymer based SLS process

Lookup NU author(s): Stephen Akande, Professor Kenneth Dalgarno, Dr Javier Munguia Valenzuela, Professor Jari Pallari

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Abstract

© 2016 The Department of Energy’s Kansas City National Security Campus is operated and managed by Honeywell Federal Manufacturing Technologies, LLC under contract number DE-NA0002839.The quality of selective laser sintering (SLS) made parts is known to be influenced by process parameters and the quality of input material. In order to ensure consistency in part quality, there is a need to monitor the quality of parts made using the SLS machines. Benchmark specimens were designed and manufactured to track key quality characteristics of strength, bending stiffness, density and dimensional accuracy of parts made in multiple builds. Using data collected from the benchmark tests, correlation analysis and statistical process control (SPC) charts were established. SPC was found to be a useful tool that can provide SLS users with the mean of identifying possible changes in the process. Therefore, it can be used for process monitoring in SLS process to ensure consistency in part quality for long term production.


Publication metadata

Author(s): Akande SO, Dalgarno KW, Munguia J, Pallari J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Solid Freeform Fabrication 2016: Proceedings of the 27th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2016

Year of Conference: 2016

Pages: 1634-1643

Acceptance date: 02/04/2016

Publisher: The University of Texas at Austin

URL: https://sffsymposium.engr.utexas.edu/sites/default/files/2016/132-Akande.pdf


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