A review on measurement science needs for real-time control of additive manufacturing metal powder bed fusion processes

Mahesh Mani, Brandon M. Lane, M. Alkan Donmez, Shaw C. Feng and Shawn P. Moylan

International Journal of Production Research, 2017, vol. 55, issue 5, 1400-1418

Abstract: Additive manufacturing technologies are increasingly used in the development of new products. However, variations in part quality in terms of material properties, dimensional tolerances, surface roughness and defects limit its broader acceptance. Process control today based on heuristics and experimental data yields limited improvement in part quality. In an effort to identify the needed measurement science for real-time closed-loop control of additive manufacturing (AM) processes, this paper presents a literature review on the current AM control schemes, process measurements and modelling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. We present our research findings to identify the correlations between process parameters, process signatures and product quality. We also present research recommendations on the key control issues to serve as a technical basis for standards development in this area. Complimentary details to this paper with summary tables, range of values, preliminary correlations and correlation figures can be accessed from a National Institute of Standards and Technology Report (http://nvlpubs.nist.gov/nistpubs/ir/2015/NIST.IR.8036.pdf). This paper is developed based on the report.

Date: 2017
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Citations: View citations in EconPapers (4)

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DOI: 10.1080/00207543.2016.1223378

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