Abstract
The dynamic development of industrial needs leads to the creation of innovative methods of manufacturing. In recent years, additive manufacturing, especially with the use of polymer material has arose in popularity. In heavy industry, there is a seek for manufacturing objects with high mechanical and temperature properties; met by WAAM technology. The following paper addresses the challenge of investigating geometry proprieties of welds. Moreover, the measurements are the base to develop automatic methods for creating objects with predictable shapes. For this purpose, welding trials with various parameters were conducted. These subsequently allowed finding optimal settings for additive manufacturing with the use of MIG-MAG technology. The study concerned an analysis of the geometry of the welds dependent on the height of the printouts with the WAAM method. The dependence between the number of layers and the general height of the object was modelled. There was a tendency to melt the previous layers of welds in the case of no breaks between the layers applied. On the contrary, a linear relationship between the number of layers applied and the height of the weld appeared while pausing between laying down subsequent layers. Hence, this proves that proper cooling is necessary for additive manufacturing with the use of this welding technology.
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Acknowledgements
The paper is based on the results of the “Development of ultra-lightweight design for volatile adapters attaching satellites to a rocket and with readiness their to produce by use Additive Manufacturing”, SPACE_Adaptors project (LIDER/45/0181/L-11/19/NCBR/2020), financed in 2021–2023, in the scope of scientific research and development works, by the National Center for Research and Development.
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Wilk, J., Prokopiuk, N., Falkowski, P. (2022). Variability in the Height of Layers for Robotised WAAM Process. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques. AUTOMATION 2022. Advances in Intelligent Systems and Computing, vol 1427. Springer, Cham. https://doi.org/10.1007/978-3-031-03502-9_3
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