journal article·2023-01Open access

Long-term process stability in additive manufacturing

Scott C. Jensen, Jay D. Carroll, Priya R. Pathare, David J. Saiz, Jonathan W. Pegues, Brad L. Boyce, Bradley H. Jared, Michael J. Heiden

Abstract

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Research context

OpenAlex topics: Additive Manufacturing Materials and Processes · Additive Manufacturing and 3D Printing Technologies · Manufacturing Process and Optimization

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References (30)

Show source-provided references
1. Processing parameters in laser powder bed fusion metal additive manufacturing10.1016/j.matdes.2020.108762 ↗
2. Prediction of lack of fusion porosity in selective laser melting based on melt pool monitoring data
3. Development of a defect-detection platform using photodiode signals collected from the melt pool of laser powder-bed fusion
4. Linking pyrometry to porosity in additively manufactured metals
5. Determining process stability of laser powder bed fusion using pyrometry10.1016/j.procir.2020.01.147 ↗
6. Assessment of optical emission analysis for in-process monitoring of powder bed fusion additive manufacturing10.1080/17452759.2017.1392683 ↗
7. In-situ optical emission spectroscopy of selective laser melting10.1016/j.jmapro.2020.02.016 ↗
8. In-situ monitoring of laser-based PBF via off-axis vision and image processing approaches
9. Optical, layerwise monitoring of powder bed fusion
10. Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion additive manufacturing process
11. Classification of specimen density in laser powder bed fusion (L-PBF) using in-process structure-borne acoustic process emissions
12. Deep learning for in situ and real-time quality monitoring in additive manufacturing using acoustic emission10.1109/TII.2019.2910524 ↗
13. Comparison of the porosity and mechanical performance of 316L stainless steel manufactured on different laser powder bed fusion metal additive manufacturing machines10.1016/j.jmrt.2021.06.027 ↗
14. NASA, NASA-STD-6030: Additive Manufacturing Requirements for Spaceflight Systems, 2021.
15. ASTM International, ISO/ASTM 52941 Additive Manufacturing — System Performance and Reliability — Acceptance Tests for Laser Metal Powder-bed Fusion Machines for Metallic Materials for Aerospace Application, 2020.
16. Toward a common laser powder bed fusion qualification test artifact
17. Test artefacts for additive manufacturing: a design methodology review10.1016/j.cirpj.2020.09.008 ↗
18. ASTM International, ISO/ASTM 52902: Additive Manufacturing — Test Artifacts — Geometric Capability Assessment of Additive Manufacturing Systems, 2019.
19. Automated high-throughput tensile testing reveals stochastic process parameter sensitivity10.1016/j.msea.2019.138632 ↗
20. Extreme-value statistics reveal rare failure-critical defects in additive manufacturing10.1002/adem.201700102 ↗
21. Size-dependent stochastic tensile properties in additively manufactured 316L stainless steel
22. High-throughput stochastic tensile performance of additively manufactured stainless steel10.1016/j.jmatprotec.2016.10.023 ↗
23. ASTM International, E8/E8m-11 Standard Test Methods for Tension Testing of Metallic Materials, West Conshohocken, PA, 2011.
24. Investigation of fatigue crack closure using multiscale image correlation experiments10.1016/j.engfracmech.2009.08.002 ↗
25. Application of an optimized digital correlation method to planar deformation analysis10.1016/0262-8856(86)90057-0 ↗
26. NIST/SEMATECH e-Handbook of Statistical Methods, 2021. 〈http://www.itl.nist.gov/div898/handbook/〉.
27. W.A. Shewart, Statistical Method from the Viewpoint of Quality Control, Dover Publications, Mineola, NY, 1986.
28. Process and feedstock driven microstructure for laser powder bed fusion of 316L stainless steel10.1016/j.mtla.2022.101356 ↗
29. A methodology to study crystal plasticity inside a compression test sample based on image correlation and EBSD10.1016/j.matchar.2011.05.009 ↗
30. ASTM International, ASTM F3184-16: Standard Specification for Additive Manufacturing Stainless Steel Alloy (UNS S31603) with Powder Bed Fusion, West Conshohocken, PA, 2016.