–
Multi-material topology optimization of additively manufactured thermoplastic molds for heat transfer enhancement
STORTI Bruno A., SOBOTKA Vincent, ÁLVAREZ HOSTOS Juan C., LEFEVRE Nicolás, LE CORRE Steven, FACHINOTTI Victor
download PDFAbstract. For low-volume scale manufacturing of plastic parts, thermoplastic molds made of polymers and printed by additive manufacturing (AM) technology have proved to be a viable alternative to replace expensive and time-consuming steel molds. Nevertheless, due to the relatively low thermal conductivity of the polymers employed for their manufacture, not only the cycle times are increased, but also the surface temperature homogeneity is affected during the cooling of the part, potentially impacting its final quality. On the other hand, the latest advances in AM technology allow the 3D printing of parts with two polymers of different thermophysical properties, opening the possibility for heat flux manipulation within the thermoplastic mold. This work is devoted to the numerical implementation of a topology optimization (TO) methodology to enhance the temperature homogeneity of an injected part during the cooling phase. The proposed scheme relies on the usage of the gradient-free particle swarm optimizer (PSO) in conjunction with filtering techniques to obtain a feasible-to-manufacture multi-material thermoplastic mold. The TO strategy is thoroughly validated against gradient-based techniques found in the related literature conceived for heat flux manipulation in the transient regime. The results show outstanding improvements in the temperature homogeneity of the part when strategically placing the low-conductivity polymer in easy-to-cool regions and the high-conductivity polymer in regions that cool down slower. We further report in this work the possibility of achieving standard deviation values like those obtained by a steel counterpart.
Keywords
Injection Molding, Topology Optimization, Metadevices, Additive Manufacturing, FEM
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: STORTI Bruno A., SOBOTKA Vincent, ÁLVAREZ HOSTOS Juan C., LEFEVRE Nicolás, LE CORRE Steven, FACHINOTTI Victor, Multi-material topology optimization of additively manufactured thermoplastic molds for heat transfer enhancement, Materials Research Proceedings, Vol. 41, pp 2710-2719, 2024
DOI: https://doi.org/10.21741/9781644903131-297
The article was published as article 297 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] A. Agazzi, Contribution à l’optimisation de la thermique des outillages dans le procédé d’injection des polymères thermoplastiques, Ph.D. thesis, Université de Nantes (2011).
[2] C.-C. Kuo, S.-X. Qiu, G.-Y. Lee, J. Zhou, H.-Q. He, Characterizations of polymer injection molding tools with conformal cooling channels fabricated by direct and indirect rapid tooling technologies, Int. J. Adv. Manuf. Technol. 117 (2021) 343–360. https://doi.org/10.1007/s00170-021-07778-w
[3] B. A. Storti, V. Sobotka, Thermal design of cooling channels in an injection plastic mold by overset-based numerical optimization technique, in: International Heat Transfer Conference Digital Library, Begel House Inc., 2023. https://doi.org/10.1615/IHTC17.210-10
[4] B. A. Storti, V. Sobotka, A numerical framework for three-dimensional optimization of cooling channels in thermoplastic printed molds, Appl. Therm. Eng. 238 (2024) 121988. https://doi.org/10.1016/j.applthermaleng.2023.121988
[5] A. Agazzi, V. Sobotka, R. LeGoff, Y. Jarny, Optimal cooling design in injection moulding process – a new approach based on morphological surfaces Appl. Therm. Eng. 52 (1) (2013) 170–178. https://doi.org/10.1016/j.applthermaleng.2012.11.019
[6] A. R. J. Hussain, A. A. Alahyari, S. A. Eastman, C. Thibaud-Erkey, S. Johnston, M. J. Sobkowicz, Review of polymers for heat exchanger applications: Factors concerning thermal conductivity, Appl. Therm. Eng. 113 (2017) 1118–1127. https://doi.org/10.1016/j.applthermaleng.2016.11.041
[7] I. Peralta, V. D. Fachinotti, J. C. Alvarez Hostos, A brief review on thermal metamaterials for cloaking and heat flux manipulation, Adv. Eng. Mater. 22 (2) (2020) 1901034. https://doi.org/10.1002/adem.201901034
[8] J. C. A. Hostos, B. Storti, N. Lefevre, V. Sobotka, S. L. Corre, V. D. Fachinotti, Design via topology optimisation and experimental assessment of thermal metadevices for conductive heat flux shielding in transient regime, Int. J. Heat Mass Transf. 212 (2023) 124238. https://doi.org/10.1016/j.ijheatmasstransfer.2023.124238
[9] G. V. Alekseev, D. A. Tereshko, Particle swarm optimization-based algorithms for solving inverse problems of designing thermal cloaking and shielding devices, Int. J. Heat Mass Transf. 135 (2019) 1269–1277. https://doi.org/10.1016/j.ijheatmasstransfer.2019.02.072
[10] I. Peralta, V. D. Fachinotti, A. A. Ciarbonetti, Optimization-based design of a heat flux concentrator, Sci. Rep. 7 (1) (2017) 40591. https://doi.org/10.1038/srep40591
[11] I. Peralta, V. D. Fachinotti, Optimization-based design of heat flux manipulation devices with emphasis on fabricability, Sci. Rep. 7 (1) (2017) 6261. https://doi.org/10.1038/s41598-017-06565-6
[12] L. Q. Tang, K. Pochiraju, C. Chassapis, S. Manoochehri, A Computer-Aided Optimization Approach for the Design of Injection Mold Cooling Systems, J. Mech. Des. 120 (2) (1998) 165–174. https://doi.org/10.1115/1.2826955
[13] V. Sobotka, A. Agazzi, N. Boyard, D. Delaunay, Parametric model for the analytical determination of the solidification and cooling times of semi-crystalline polymers, Appl. Therm. Eng. 50 (1) (2013) 416–421. https://doi.org/10.1016/j.applthermaleng.2012.07.019
[14] A. E. Albanesi, I. Peralta, F. Bre, B. A. Storti, V. D. Fachinotti, An optimization method based on the evolutionary and topology approaches to reduce the mass of composite wind turbine blades, Struct. Multidiscipl. Optim. 62 (2020) 619–643. https://doi.org/10.1007/s00158-020-02518-2