Industry 4.0 Science 40, 2024, 63-69
Safeguarding Against Risks in the Wire Arc Additive Manufacturing Process

Bibtex

Cite as text

						@Article{Grüger+Fischer+Woll+Buhl,
							Cite-key = "Grueger2024Saf", 
							Year= "2024", 
							Number= "1", 
							 Volume= "Industry 4.0 Science 40", 
							Pages= "63-69", 
							Journal   = "Industry 4.0 Science",
							 Title= "Safeguarding Against Risks in the Wire Arc Additive Manufacturing Process", 
							Author= "Lennart Grüger, Tim Sebastian Fischer and Ralf Woll, BTU Cottbus-Senftenberg, Johannes Buhl, Clausthal University of Technology", 
							Doi= "https://doi.org/10.30844/I4SE.24.1.63", 
							 Abstract= "In this article, the potential risks in wire arc additive manufacturing are analyzed using failure mode and effects analysis. To achieve this, 186 possible causes of risk were analyzed and the five most critical risks were discussed in detail. Four significant risk factors were identified in the construction process. The fifth risk relates to the shielding gas flow. This is only one influencing factor among the welding parameters, which have
strong interactions with each other. Therefore, their relationships should be analyzed on the basis of numerous tests.", 
							 Keywords= "additive manufacturing, wire arc additive manufacturing, failure mode and effects analysis", 
							}
					
Lennart Grüger, Tim Sebastian Fischer and Ralf Woll, BTU Cottbus-Senftenberg, Johannes Buhl, Clausthal University of Technology(2024): Safeguarding Against Risks in the Wire Arc Additive Manufacturing Process. Industry 4.0 Science 401(2024), S. 63-69. Online: https://doi.org/10.30844/I4SE.24.1.63 (Abgerufen 08.05.24)

Abstract

Abstract

In this article, the potential risks in wire arc additive manufacturing are analyzed using failure mode and effects analysis. To achieve this, 186 possible causes of risk were analyzed and the five most critical risks were discussed in detail. Four significant risk factors were identified in the construction process. The fifth risk relates to the shielding gas flow. This is only one influencing factor among the welding parameters, which have strong interactions with each other. Therefore, their relationships should be analyzed on the basis of numerous tests.

Keywords

Schlüsselwörter

additive manufacturing, wire arc additive manufacturing, failure mode and effects analysis

References

Referenzen

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[2] Lachmayer, R.; Lippert, R. B.: Basics. In: Lachmayer, R.; Lippert, R. B. (Eds.): Development Methodology for Additive Manufacturing. Berlin Heidelberg 2020, pp. 7-20.
[3] Seifi, M.; Salem, A.; Beuth, J.; Harrysson, O.; Lewandowski, J. J.: Overview of Materials Qualification Needs for Metal Additive Manufacturing. In: JOM 68 (2016) 3, pp. 747-764.
[4] Fischer, T. S.; Grüger, L.; Woll, R.: Modelling Influences on Wire Arc Additive Manufacturing. In: Industry 4.0 Management 2023 (2023) 5, pp. 53-57.
[5] Automotive Industry Action Group; Verband der Automobilindustrie: FMEA-Handbuch. Failure Mode and Effects Analysis/ Design FMEA/Process FMEA/FMEA Supplement/Monitoring & System Response. Berlin 2019.
[6] Rohrschneider, U.: Risk management in projects. The most common pitfalls and dangers – The best immediate measures. Freiburg Berlin Munich 2006.
[7] APIS Informationstechnologien GmbH: IQ-FMEA. APIS Informationstechnologien GmbH (2023).
[8] Stoesser, K. R.: Selected methods, tools and procedures. In: Stoesser, K. R. (Ed.): Process optimization for manufacturing companies. Wiesbaden 2019, pp. 45-109.
[9] Lachmayer, R.; Lippert, R. B. (Eds.): Development Methodology for Additive Manufacturing. Berlin Heidelberg 2020.
[10] Pattanayak, S.; Sahoo, S. K.: Gas metal arc welding based additive manufacturing – a review. CIRP Journal of Manufacturing Science and Technology 33 (2021), pp. 398-442.
[11] Venkata Rao, K.; Parimi, S.; Suvarna Raju, L.; Suresh, G.: Modelling and optimization of weld bead geometry in robotic gas metal arc-based additive manufacturing using machine learning, finite-element modelling and graph theory and matrix approach. In: Soft Computing 26 (2022) 7, pp. 3385-3399.
[12] Xiao, X.; Waddell, C.; Hamilton, C.; Xiao, H.: Quality Prediction and Control in Wire Arc Additive Manufacturing via Novel Machine Learning Framework. In: Micromachines 13 (2022) 1, pp. 1-15.

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