Manufacturing Technology 2019, 19(2):232-237 | DOI: 10.21062/ujep/275.2019/a/1213-2489/MT/19/2/232

Production Process Planning in Additive Manufacturing and Conventional Machining Technology Manufacturing System

Tomas Kellner, Jiri Kyncl, Zdenek Pitrmuc, Libor Beranek, Michal Kanak, Martin Kyncl
Faculty of Mechanical Engineering, Department of Machining, Process Planning and Metrology, CTU in Prague, Technicka 4, 160 00 Praha 6

Main goal of this study is to describe and design manufacturing system which is using Additive manufacturing technology for production of semi-finished products and conventional machining technology for finishing operations, then demonstrate requirements of such production on simulation model on production planning and then analyze and summarize the outputs of the production model. The model is made with aid of modern Digital Factory tools. The main purpose of the model is to provide a complex tool for this study in order to analyze and optimize the fictive production system in needed range and complexity. The topic of Rapid Prototyping and Additive manufacturing technologies is very recent topic in industry. But still, there are only few examples of production systems, which are really using Rapid Prototyping technologies as a part of the production or production line. The advantage of these technologies is their versatility, but on the other hand, as a part of production system, they can have different demands on for example production planning, area consumption or maintenance, that can affect whole production system.

Keywords: Additive Manufacturing, Metal Printing and Machining, Digital Factory Tools, Production Optimization, Production Capacity Planning
Grants and funding:

Czech Technical University, grant number SGS16/218/OHK2/3T/12.

Published: April 1, 2019  Show citation

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Kellner T, Kyncl J, Pitrmuc Z, Beranek L, Kanak M, Kyncl M. Production Process Planning in Additive Manufacturing and Conventional Machining Technology Manufacturing System. Manufacturing Technology. 2019;19(2):232-237. doi: 10.21062/ujep/275.2019/a/1213-2489/MT/19/2/232.
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    References

    1. KYNCL, J.; KELLNER, T.; KUBIŠ, R. (2017). Tricanter production process optimization by digital factory simulation tools. In Manufacturing Technology. Vol. 17, No. 1, pp.49 - 53. ISSN 1213-2489. Go to original source...
    2. KYNCL, J. (2016). Digital Factory Simulation Tools. In Manufacturing Technology. Vol. 16, No. 2, pp.371 - 375. ISSN 1213-2489 Go to original source...
    3. BERANEK, L.; VOLF, L. & MIKES, P. (2011). Coordinate Metrology Education Using Virtual CMM, Annals of DAAAM for 2011 & Proceedings of the 22nd International DAAAM Symposium, ISBN 978-3-901509-83-4, ISSN 1726-9679, pp.1323-1324, Editor B[ranko] Katalinic, Published by DAAAM International, Vienna, Aus-tria 2011.
    4. KOSTURIAK, J., GREGOR, M., MIČIETKA, B., MATUZSEK, J. (2000). Projektovanie výrobných systémov pre 21. storočí, Žilinská univerzita, 2000, pp. 397, ISBN 80-7100-553-3
    5. FIALA, P. (2004). Projektové řízení, modely, metody, analýzy. Professional Publishing, 2004, pp. 276, ISBN 80-86419-24-X Go to original source...
    6. GÜNTHER, H.-O., TEMPELMEIER, H. (2006). Übungsbuch Produktion ung Logistik. Springer, 2006, pp. 248, ISBN 3-540-25704-7
    7. NEWMAN, S.T.; ZHU, Z.; DHOKIA, V.; SHOKRANI, A. (2015). Process planning for additive and subtractive manufacturing technologies. CIRP Annals - Manufacturing Technology 64 (2015), pp.467-470, ISSN 0007-8506 Go to original source...
    8. VERMA, A.; RAI, R. (2017). Sustainability-induced dual-level optimization of additive manufacturing process. The International Journal of Advanced Manufacturing Technology (2017), Vol. 88, Issue 5-8, pp.1945-1959, ISSN 0268-3768 Go to original source...

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