Abstract
In additive manufacturing, there is a necessity to qualify both the geometrical and material characteristics of the fabricated part, because both are being created simultaneously as the part is built up layer by layer. Increased availability of open source fused deposition modeling machines has expanded the parameter space for which the user has control during the build process. This work quantifies the effects of operator choices, such as print speed, printer head and build plate temperatures, layering thickness, or building in a thermally controlled or fully open environment, on the quality and reproducibility of the build. Modal analyses were performed on completed builds using an electrodynamic shaker and integrated circuit piezoelectric accelerometers embedded in the parts during the build process. Experimental measurements of the fused deposition modeled parts were benchmarked against eigenvalue analysis results for an idealized part with homogenous material properties to gauge the suitability of such analysis to fused deposition modeling additive manufacturing. Follow on work will use this embedded technique for state-of-health monitoring in deployed systems and real-time diagnostics and control of the build process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- AM:
-
Additive manufacturing
- CAD:
-
Computer-aided design
- DAQ:
-
Data acquisition
- FDM:
-
Fused deposition modeling
- FEA:
-
Finite element analysis
- FFT:
-
Fast fourier transform
- SoH:
-
State-of-health
- STL:
-
Stereolithography file
- 3D:
-
Three dimensional
References
Wong, K.V., Hernandez, A.: A review of additive manufacturing. Int. Scholarly Res. Netw. Mech. Eng. 2012, 1–10 (2012)
Li, H., Taylor, G., Bheemreddy, V., Iyibilgin, O., Leu, M., Chandrashekhara, K.: Modeling and characterization of fused deposition modeling tooling for vacuum assisted resin transfer molding process. Additi. Manuf. 7, 64–72 (2015)
White, C., Li, H.C.H., Whittingham, B., Herzberg, I., Mouritz, A.P.: Damage detection in repairs using frequency response techniques. Comp. Struct. 87(2), 175–181 (2009)
MartÃnez, J., Diéquez, J.L., Ares, E., Pereira, A., Hernández, P., Pérez, J.A.: Comparative between FEM models and FDM parts and their approach to a real mechanical behavior. Proc. Eng. 63, 878–884 (2013)
Chaitanya, S.K., Reddy, K.M., Harsha, S.N.S.H.: Vibration properties of 3D printed/rapid prototype parts. Int. J. Innov. Res. Sci. Eng. Technol. 4(6), 4602–4608 (2015)
Stark, B., Stevenson, B., Stow-Parker, K., Chen, Y.Q.: Embedded sensors for health monitoring of 3D printed unmanned aerial systems. In: 2014 International Conference on Unmanned Aircraft Systems, 175–180, 2014
Acknowledgements
The authors would like to thank the National Nuclear Security Administration’s Minority Serving Institution Internship Program. Los Alamos National Laboratory (LANL) is operated by the Los Alamos National Security, LLC for the U.S. Department of Energy NNSA under Contract No. DE-AC52-06NA25396.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Sbriglia, L.R., Baker, A.M., Thompson, J.M., Morgan, R.V., Wachtor, A.J., Bernardin, J.D. (2016). Embedding Sensors in FDM Plastic Parts During Additive Manufacturing. In: Mains, M. (eds) Topics in Modal Analysis & Testing, Volume 10. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-30249-2_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-30249-2_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30248-5
Online ISBN: 978-3-319-30249-2
eBook Packages: EngineeringEngineering (R0)