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A Framework for Additive Manufacturing Process Monitoring & Control

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Topics in Modal Analysis & Testing, Volume 10

Abstract

Fused deposition modelling, like other additive manufacturing methods, has largely remained an open loop process in the absence of rigorous process monitoring and diagnostic functionality. By creating a framework that integrates quantitative diagnostic tools whose measurements are coordinated with the printing process and the system which commands the printer hardware, this paper demonstrates the feasibility of closing the loop in additive manufacturing systems. Specifically, this paper introduces the use of ultrasonic excitation as a means of detecting filament bonding failures introduced by manipulating the print bed temperature during the fused deposition modelling build process. Furthermore, this work demonstrates the capability of correcting these filament bonding failures using a correction mechanism introduced through tunable control of another process parameter of the printer. By demonstrating the detection and correction of filament bonding failures in situ, this work has demonstrated the progress toward fully closed loop control for fused deposition modeling processes.

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Acknowledgements

The authors would like to extend their gratitude to Eric B. Flynn, Eliseanne C. Koskelo, and Niall O’Dowd for their thoughtful discussions on this work. This work was performed at Los Alamos National Laboratory (LANL). LANL is operated by the Los Alamos National Security, LLC for the U.S. Department of Energy NNSA under Contract No. DE-AC52-06NA25396.

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Correspondence to Adam J. Wachtor .

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© 2017 The Society for Experimental Mechanics, Inc.

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Cummings, I.T., Bax, M.E., Fuller, I.J., Wachtor, A.J., Bernardin, J.D. (2017). A Framework for Additive Manufacturing Process Monitoring & Control. In: Mains, M., Blough, J. (eds) Topics in Modal Analysis & Testing, Volume 10. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-54810-4_14

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  • DOI: https://doi.org/10.1007/978-3-319-54810-4_14

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