Abstract
Direct Energy Deposition is a metal additive manufacturing technique that has raised great interest in industry thanks to its potential to realize complex parts or repairing damaged ones, but the complexity of this process still requires much effort from practitioners to achieve functionally sound parts. One of the recurring flaws of such parts is the phenomenon of over-deposition, which may occur due to unpredicted local increases of energy density.
The deposition of uniform metal tracks is critical in many practical cases, when parts are composed by a significant number of layers and/or when complex tool paths induce heat build-up, for example in thin structures. Therefore, detecting anomalies such as over-growth in real-time and dynamically correcting them is of paramount importance for achieving repeatable, first-time-right parts.
This work studies the use of a closed-loop control system for Direct Energy Deposition, proposing to adjust on-line the power of the laser beam according to the feedback provided by the analysis of melt pool images. The images are acquired by a camera, mounted coaxially into the optical chain of the deposition head, which records images at 100 fps while the process is running. The proposed approach is explored experimentally by comparing the over-deposition measured on sample test geometries obtained with a traditional feed-forward approach with the over-deposition obtained through the developed closed-loop control laser deposition system.
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References
Thompson, S.M., Bian, L., Shamsaei, N., Yadollahi, A.: An overview of direct laser deposition for additive manufacturing; part I: transport phenomena, modeling and diagnostics. Addit. Manuf. 8, 36–62 (2015). https://doi.org/10.1016/j.addma.2015.07.001
Mazzucato, F., Avram, O., Valente, A., Carpanzano, E.: Recent advances toward the industrialization of metal additive manufacturing. In: Kenett, R.S., Swarz, R.S., Zonnenshain, A. (eds.) Systems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering, pp. 273–319. John Wiley & Sons (2019)
Schmidt, M., et al.: Laser based additive manufacturing in industry and academia. CIRP Ann. 66(2), 561–583 (2017). https://doi.org/10.1016/j.cirp.2017.05.011
Avram, O., Valente, A., Fellows, C.: Adaptive CAx chain for hybrid manufacturing. In: Fraunhofer Direct Digital Manufacturing Conference (DDMC 2018) (2018)
Garmendia, I., Leunda, J., Pujana, J., Lamikiz, A.: In-process height control during laser metal deposition based on structured light 3D scanning. Procedia CIRP 68(April), 375–380 (2018). https://doi.org/10.1016/j.procir.2017.12.098
Nassar, A.R., Keist, J.S., Reutzel, E.W., Spurgeon, T.J.: Intra-layer closed-loop control of build plan during directed energy additive manufacturing of Ti-6Al-4V. Addit. Manuf. 6, 39–52 (2015). https://doi.org/10.1016/j.addma.2015.03.005
Purtonen, T., Kalliosaari, A., Salminen, A.: Monitoring and adaptive control of laser processes. Phys. Procedia. 56(C), 1218–1231 (2014). https://doi.org/10.1016/j.phpro.2014.08.038
Song, L., Bagavath-Singh, V., Dutta, B., Mazumder, J.: Control of melt pool temperature and deposition height during direct metal deposition process. Int. J. Adv. Manuf. Technol. 58(1–4), 247–256 (2012). https://doi.org/10.1007/s00170-011-3395-2
Song, L., Mazumder, J.: Feedback control of melt pool temperature during laser cladding process. IEEE Trans. Control Syst. Technol. 19(6), 1349–1356 (2011). https://doi.org/10.1109/TCST.2010.2093901
Vandone, A., Baraldo, S., Valente, A., Mazzucato, F.: Vision-based melt pool monitoring system setup for additive manufacturing. Procedia CIRP 81, 747–752 (2019). https://doi.org/10.1016/j.procir.2019.03.188
Barua, S., Liou, F., Newkirk, J., Sparks, T.: Vision-based defect detection in laser metal deposition process. Rapid Prototyp. J. 20(1), 77–86 (2014). https://doi.org/10.1108/RPJ-04-2012-0036
Motta, M., Demir, A.G., Previtali, B.: High-speed imaging and process characterization of coaxial laser metal wire deposition. Addit. Manuf. 22(May), 497–507 (2018). https://doi.org/10.1016/j.addma.2018.05.043
Staudt, T., Eschner, E., Schmidt, M.: Temperature determination in laser welding based upon a hyperspectral imaging technique. CIRP Ann. 68(1), 225–228 (2019). https://doi.org/10.1016/j.cirp.2019.04.117
Shamsaei, N., Yadollahi, A., Bian, L., Thompson, S.M.: An overview of direct laser deposition for additive manufacturing; part II: mechanical behavior, process parameter optimization and control. Addit. Manuf. 8, 36–62 (2015). https://doi.org/10.1016/j.addma.2015.07.002
Donadello, S., Motta, M., Demir, A.G., Previtali, B.: Monitoring of laser metal deposition height by means of coaxial laser triangulation. Opt. Lasers Eng. 112, 136–144 (2019). https://doi.org/10.1016/j.optlaseng.2018.09.012
Wang, F., Mao, H., Zhang, D., Zhao, X., Shen, Y.: Online study of cracks during laser cladding process based on acoustic emission technique and finite element analysis. Appl. Surf. Sci. 255, 3267–3275 (2008). https://doi.org/10.1016/j.apsusc.2008.09.039
Whiting, J., Springer, A., Sciammarella, F.: Real-time acoustic emission monitoring of powder mass flow rate for directed energy deposition. Addit. Manuf. 23, 312–318 (2018). https://doi.org/10.1016/j.addma.2018.08.015
Pinkerton, A.J.: Advances in the modeling of laser direct metal deposition. J. Laser Appl. 27(2015), S15001 (2015). https://doi.org/10.2351/1.4815992
Ocylok, S., Alexeev, E., Mann, S., Weisheit, A., Wissenbach, K., Kelbassa, I.: Correlations of melt pool geometry and process parameters during laser metal deposition by coaxial process monitoring. Phys. Procedia 56(C), 228–238 (2014). https://doi.org/10.1016/j.phpro.2014.08.167
Sammons, P.M., Gegel, M.L., Bristow, D.A., Landers, R.G.: Repetitive process control of additive manufacturing with application to laser metal deposition. IEEE Trans. Control Syst. Technol. 27(2), 566–575 (2019). https://doi.org/10.1109/TCST.2017.2781653
Arrizubieta, J.I., MartÃnez, S., Lamikiz, A., Ukar, E., Arntz, K., Klocke, F.: Instantaneous powder flux regulation system for laser metal deposition. J. Manuf. Process. 29, 242–251 (2017). https://doi.org/10.1016/j.jmapro.2017.07.018
Moralejo, S., et al.: A feedforward controller for tuning laser cladding melt pool geometry in real time. Int. J. Adv. Manuf. Technol. 89(1–4), 821–831 (2017). https://doi.org/10.1007/s00170-016-9138-7
Seltzer, D.M., Wang, X., Nassar, A.R., Schiano, J.L., Reutzel, E.W.: System identification and feedback control for directed-energy, metal-based additive manufacturing. In: Proceedings of the solid Freeform Fabrication Symposium, pp. 592–601 (2015)
Vandone, A., Baraldo, S., Valente, A.: Multisensor data fusion for additive manufacturing process control. IEEE Robot. Autom. Lett. 3(4), 3279–3284 (2018). https://doi.org/10.1109/LRA.2018.2851792
Acknowledgments
The research in this paper has been partially funded by EU H2020-CS2-CFP02-2015-01, AMATHO Additive MAnufacturing of Tiltrotor HOusing. Contract 717194.
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Baraldo, S., Vandone, A., Valente, A., Carpanzano, E. (2020). Closed-Loop Control by Laser Power Modulation in Direct Energy Deposition Additive Manufacturing. In: Wang, L., Majstorovic, V., Mourtzis, D., Carpanzano, E., Moroni, G., Galantucci, L. (eds) Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-46212-3_9
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