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Process Control for Robot Based Additive Manufacturing

: Felsch, Torsten; Silze, Frank; Schnick, Michael


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Industrial Electronics Society -IES-:
24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019. Proceedings : Zaragoza, Spain, 10 - 13 September 2019
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-0303-7
ISBN: 978-1-7281-0302-0
ISBN: 978-1-7281-0304-4
International Conference on Emerging Technologies and Factory Automation (ETFA) <24, 2019, Zaragoza>
Fraunhofer IFF ()

In this paper a new control system for robot based additive manufacturing is presented. The paper summarizes the results of an ongoing major joint project being completed by industrial companies and research organizations. The objective is to increase the process stability and the part quality of parts produced by laser metal deposition through controlling the distance between nozzle and part surface. In particular, the system architecture, the control method and the first test results are presented.