Improving the structural integrity of challenging to manufacture LPBF components with toolpath correction
JENSCH Felix, EISSING Katharina, WILLIAMS Richard, TRAUTMAN Marcus, YANG Yitong, DUBININ Sergej, FERGANI Omar, HÄRTEL Sebastian
download PDFAbstract. This work deals with the influence of optimised exposure strategies on the distortion and microstructure of components susceptible to overheating and warpage. Therefore, different distortion-prone specimen geometries of 316L were fabricated with the standard parameters, as well as with exposure strategies optimised by machine learning, which were generated using the AMAIZE software package. The manufactured samples were analysed with regard to distortion. The results of the distortion analysis were then linked with the results of the digital tomography from AMAIZE. Furthermore, components were manufactured that tend to overheat due to their geometry and orientation on the substrate plate. The influence of overheating during the LPBF process on the microstructure and porosity was investigated along the build-up direction by means of an EBSD analysis and a porosity analysis. With the presented approach for optimising the exposure strategy with AMAIZE, it could be shown that a successful production of distortion-prone components with a porosity of less than 1 % is possible in the first trial.
Keywords
LPBF-Process, Machine Learning, Microstructural Investigation
Published online 4/24/2024, 10 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: JENSCH Felix, EISSING Katharina, WILLIAMS Richard, TRAUTMAN Marcus, YANG Yitong, DUBININ Sergej, FERGANI Omar, HÄRTEL Sebastian, Improving the structural integrity of challenging to manufacture LPBF components with toolpath correction, Materials Research Proceedings, Vol. 41, pp 110-119, 2024
DOI: https://doi.org/10.21741/9781644903131-12
The article was published as article 12 of the book Material Forming
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
[1] C. Tan, F. Weng, S. Sui, Y. Chew und G. Bi, „Progress and perspectives in laser additive manufacturing of key aeroengine materials,“ International Journal of Machine Tools and Manufacture, 2021. https://doi.org/10.1016/j.ijmachtools.2021.103804
[2] W. Di, Y. Yongqiang, S. Xubin und C. Yonghua, „Study on energy input and its influences on single-track, multi-track, and multi-layer in SLM,“ International Journal of Advanced Manufacturing Technology, 2012. https://doi.org/10.1007/s00170-011-3443-y
[3] J. Gan, Z. Zhou und A. Yu, „Effect of particle shape and size on effective thermal conductivity of packed beds,“ Powder Technology, 2017. https://doi.org/10.1016/j.powtec.2017.01.024
[4] L. C. Wei, L. E. Ehrlich, M. J. Powell-Palm, C. Montgomery, J. Beuth und J. A. Malen, „Thermal conductivity of metal powders for powder bed additive manufacturing,“ Additive Manufacturing, 2018. https://doi.org/10.1016/j.addma.2018.02.002
[5] T. Miki und S. Nishiwaki, „Topology optimization of the support structure for heat dissipation in additive manufacturing,“ Finite Elements in Analysis & Design, 2022. https://doi.org/10.1016/j.finel.2021.103708
[6] S. C. Subedi, A. Shahba, M. Thevamaran, D. J. Thoma und K. Suresh, „Towards the optimal design of support structures for laser powder bed fusion-based metal additive manufacturing via thermal equivalent static loads,“ Additive Manufacturing, 2022. https://doi.org/10.1016/j.addma.2022.102956
[7] J. Elambasseril, J. Rogers, C. Wallbrink, D. Munk, M. Leary und M. Qian, „Laser powder bed fusion additive manufacturing (LPBF-AM): the influence of design features and LPBF variables on surface topography and effect on fatigue properties,“ Critical Reviews in Solid State and Materials Sciences, 2023. https://doi.org/10.1080/10408436.2022.2041396
[8] G. Mohr, N. Scheuschner und K. Hilgenberg, „In situ heat accumulation by geometrical features obstructing heat flux and by reduced inter layer times in laser powder bed fusion of AISI 316L stainless steel,“ Procedia CIRP, 2020. https://doi.org/10.1016/j.procir.2020.09.030
[9] J. Munk, E. Breitbarth, T. Siemer, N. Pirch und C. Häfner, „Geometry Effect on Microstructure and Mechanical Properties in Laser Powder Bed Fusion of Ti-6Al-4V,“ metals, 2022. https://doi.org/10.3390/met12030482
[10] S. Astafurov und E. Astafurova, „Phase Composition of Austenitic Stainless Steels in Additive Manufacturing: A Review,“ Metals, 2021. https://doi.org/10.3390/met11071052
[11] T. A. Rodrigues, V. Duarte, J. A. Avila, T. G. Santos, R. Miranda und J. Oliveira, „Wire and arc additive manufacturing of HSLA steel: Effect of thermal cycles on microstructure and mechanical properties,“ Additive Manufacturing, 2019. https://doi.org/10.1016/j.addma.2019.03.029
[12] Y. Liu, J. Li, K. Xu, T. Cheng, D. Zhao, W. Li, Q. Teng und Q. Wei, „An optimized scanning strategy to mitigate excessive heat accumulation caused by short scanning lines in laser powder bed fusion process,“ Additive Manufacturing, 2022. https://doi.org/10.1016/j.addma.2022.103256
[13] L. Wang, X. Jiang, Y. Zhu, X. Zhu, J. Sun und B. Yan, „An approach to predict the residual stress and distortion during the selective laser melting of AlSi10Mg parts,“ The International Journal of Advanced Manufacturing Technology, 2018. https://doi.org/10.1007/s00170-018-2207-3
[14] D. Dai, D. Gu, Q. Ge, Y. Li, X. Shi, Y. Sun und S. Li, „Mesoscopic study of thermal behavior, fluid dynamics and surface morphology during selective laser melting of Ti-based composites,“ Computational Materials Science, 2020. https://doi.org/10.1016/j.commatsci.2020.109598
[15] Z. Li, R. Xu, Z. Zhang und I. Kucukkoc, „The influence of scan length on fabricating thin-walled components in selective laser melting,“ International Journal of Machine Tools and Manufacture, 2018. https://doi.org/10.1016/j.ijmachtools.2017.11.012
[16] Y.-L. Lo, B.-Y. Liu und H.-C. Tran, „Optimized hatch space selection in double-scanning track selective laser melting process,“ The International Journal of Advanced Manufacturing Technology, 2019.
[17] N. Levkulich, S. Semiatin, J. Gockel, J. Middendorf, A. DeWald und N. Klingbeil, „The effect of process parameters on residual stress evolution and distortion in the laser powder bed fusion of Ti-6Al-4V,“ Additive Manufacturing, 2019. https://doi.org/10.1016/j.addma.2019.05.015
[18] B. Kavas, E. C. Balta, M. Tucker, A. Rupenyan, J. Lygeros und M. Bambach, „Layer-to-layer closed-loop feedback control application for inter-layer temperature stabilization in laser powder bed fusion,“ Additive Manufacturing, 2023. https://doi.org/10.2139/ssrn.4496744
[19] A. Yağmur, I. Pääkkönen und A. Miles, „The Hitchhiker’s Guide to Smart Fusion,“ July 2023. [Online]. Available: https://www.eos.info/smart-fusion.
[20] L. White, X. Liang, G. Zhang, J. Cagan und Y. J. Zhang, „Coupling Simulated Annealing and Homogenization to Design Thermally Conductive Hybrid Lattice Support Structures for LPBF,“ Proceedings of the ASME 2023, 2023. https://doi.org/10.1115/DETC2023-114953
[21] M. Rombouts, J. Kruth, L. Froyen und P. Mercelis, „Fundamentals of Selective Laser Melting of alloyed steel powders,“ CIRP Annals, 2006. https://doi.org/10.1016/S0007-8506(07)60395-3
[22] G. Kasperovich, J. Haubrich, J. Gussone und G. Requena, „Correlation between porosity and processing parameters in TiAl6V4 produced by selective laser melting,“ Materials and Design, 2016. https://doi.org/10.1016/j.matdes.2016.05.070
[23] A. Yadollahi, N. Shansaei, S. M. Thompson und D. W. Seely, „Effects of process time interval and heat treatment on the mechanical and microstructural properties of direct laser deposited 316L stainless steel,“ Materials Science & Engineering A, 2015. https://doi.org/10.1016/j.msea.2015.07.056
