A functional modeling approach for quality assurance in metal additive manufacturing
ISSN: 1355-2546
Article publication date: 28 January 2021
Issue publication date: 2 March 2021
Abstract
Purpose
Due to the complexity of and variations in additive manufacturing (AM) processes, there is a level of uncertainty that creates critical issues in quality assurance (QA), which must be addressed by time-consuming and cost-intensive tasks. This deteriorates the process repeatability, reliability and part reproducibility. So far, many AM efforts have been performed in an isolated and scattered way over several decades. In this paper, a systematically integrated holistic view is proposed to achieve QA for AM.
Design/methodology/approach
A systematically integrated view is presented to ensure the predefined part properties before/during/after the AM process. It consists of four stages, namely, QA plan, prospective validation, concurrent validation and retrospective validation. As a foundation for QA planning, a functional workflow and the required information flows are proposed by using functional design models: Icam DEFinition for Function Modeling.
Findings
The functional design model of the QA plan provides the systematically integrated view that can be the basis for inspection of AM processes for the repeatability and qualification of AM parts for reproducibility.
Research limitations/implications
A powder bed fusion process was used to validate the feasibility of this QA plan. Feasibility was demonstrated under many assumptions; real validation is not included in this study.
Social implications
This study provides an innovative and transformative methodology that can lead to greater productivity and improved quality of AM parts across industries. Furthermore, the QA guidelines and functional design models provide the foundation for the development of a QA architecture and management system.
Originality/value
This systematically integrated view and the corresponding QA plan can pose fundamental questions to the AM community and initiate new research efforts in the in-situ digital inspection of AM processes and parts.
Keywords
Acknowledgements
The authors wish to thank Dr. Paul Witherell, Dr. Albert Jones, and Dr. Shawn Moylan at NIST for their comments on this research. This material is based upon work supported by the National Science Foundation under Grant No. 2015693. This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2019-0-01582). The authors would like to acknowledge the support of Oak Ridge National Laboratory managed by UT-Battelle, LLC, for U.S. Department of Energy under contract DE-AC05-00OR22725.
Citation
Seo, G., Ahsan, M.R., Lee, Y., Shin, J.-H., Park, H. and Kim, D.B. (2021), "A functional modeling approach for quality assurance in metal additive manufacturing", Rapid Prototyping Journal, Vol. 27 No. 2, pp. 288-303. https://doi.org/10.1108/RPJ-12-2018-0312
Publisher
:Emerald Publishing Limited
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