Abstract
Gears are one of the most commonly used parts in different manufacturing industries because of their functionality, and so the question of how to improve the geometry of these parts was always in the open. The research paper brings up the idea of reducing the material volume used in the manufacturing process by using a generative design method, meaning a free-flowing design using generative design software. The CAD model is subjective to parameters that are targeted in the program (volume, mass, safety factor) that are a frame of reference to develop different iterations from which we chose 5 of them. A finite element analysis is made to compare the generative version with the non-modified CAD to see the differences in behavior. These results are used to choose the best iteration of the gear. The parts modified as well as the non-modified ones are manufactured using different additive manufacturing technologies. An analysis is made to see the differences in terms of mechanical characteristics by making tests for surface durability, tensile strength, and bending. The results of the analysis show a 50% decrease in material volume without compromising the structural functionality.
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References
Dimić, A., et al.: The influence of material on the operational characteristics of spur gears manufactured by the 3D printing technology. J. Mech. Eng. – Strojnícky časopis 68(3), 261–270 (2018)
Mitrović, R., et al.: Determination of optimal parameters for rapid prototyping of the involute gears. In: IOP Conference Series: Materials Science and Engineering, no. 393 (2018). https://doi.org/10.1088/1757-899X/393/1/012105
Pandzic, A., Hodzic, D., Milovanovic, A.: Influence of material colour on mechanical properties of PLA material in FDM technology. In: Katalinic, B. (ed.) Proceedings of the 30th DAAAM International Symposium, pp. 0555–0561. DAAAM International, Vienna (2019). https://doi.org/10.2507/30th.daaam.proceedings.075, ISBN 978-3-902734-22-8, ISSN 1726-9679
Camposeco-Negrete, C.: Optimization of printing parameters in fused deposition modeling for improving part quality and process sustainability. Int. J. Adv. Manuf. Technol. 108(7–8), 2131–2147 (2020). https://doi.org/10.1007/s00170-020-05555-9
Sai, T., Pathak, V.K., Srivastava, A.K.: Modeling and optimization of fused deposition modeling (FDM) process through printing PLA implants using adaptive neuro-fuzzy inference system (ANFIS) model and whale optimization algorithm. J. Braz. Soc. Mech. Sci. Eng. 42(12), 1–19 (2020). https://doi.org/10.1007/s40430-020-02699-3
Xu, J., Xu, F., Gao, G.: The effect of 3D printing process parameters on the mechanical properties of PLA parts. In: Journal of Physics: Conference Series, vol. 2133, p. 012026 (2021)
Popescu, D., et al.: Improving the quality of plastic parts obtained by 3D printing. Acta Technica Napocensis - Ser.: Appl. Math. Mech. Eng. 58(1), 25–30 (2015). ISSN 2393–2988
Ealia, S.A.M., Saravanakumar, M.P.: A review on the classification, characterisation, synthesis of nanoparticles and their application. In: IOP Conference Series: Materials Science and Engineering, vol. 263, p. 032019 (November 2017)
Pinero Vega, D., Batista Ponce, M., Valerga Pureta, A.P., Vazquez Martinez, J.M., Fernandez Vidal, S.P.: A comparison of macro and microgeometrical properties of specimens made with a FDM commercial printer and its opensource retrofit version. In: Katalinic, B. (ed.) Proceedings of 29th DAAAM International Symposium on Intelligent Manufacturing and Automation, Zadar, pp.1108- 1115. DAAAM International, Vienna (2018). https://doi.org/10.2507/29th.daaam.proceedings.158, ISSN 1726-9679, ISBN 978-3-902734-20-4
Kannan, S., Ramamoorthy, M., Sudhagar, E., Gunji, B.: Mechanical characterization and vibrational analysis of 3D printed PETG and PETG reinforced with short carbon fiber. In: AIP Conference Proceedings, vol. 2270, p. 030004 (2020). https://doi.org/10.1063/5.0019362
Santos, F.A., et al.: Low velocity impact response of 3D printed structures formed by cellular metamaterials and stiffening plates: PLA vs. PETg. Compos. Struct. 256, 113128. https://doi.org/10.1016/j.compstruct.2020.113128
Dolzyk, G., Jung, S.: Tensile and fatigue analysis of 3d-printed polyethylene terephthalate glycol. J. Fail. Anal. Prev. 19, 511–518 (2019)
Briard, T., Segonds, F., Zamariola, N.: G-DfAM: a methodological proposal of generative design for additive manufacturing in the automotive industry. Int. J. Interact. Des. Manuf. (IJIDeM) 14(3), 875–886 (2020). https://doi.org/10.1007/s12008-020-00669-6
Krish, S.: A practical generative design method. Comput.-Aided Des. 43(1), 88–100 (2011). https://doi.org/10.1016/j.cad.2010.09.009, ISSN 0010–4485
Liu, J., et al.: Current and future trends in topology optimization for additive manufacturing. Struct. Multidiscip. Optim. 57(6), 2457–2483 (2018). https://doi.org/10.1007/s00158-018-1994-3
Comes, R., et al.: Virtual reality training system based on 3D scanned automotive parts. Acta Technica Napocensis - Ser.: Appl. Math. Mech. Eng. 64(1), 55–62 (2021). ISSN 2393–2988
Hodor, A., Berce, P., Comes, R.: Some considerations about 3D replication of complex surfaces. Acta Technica Napocensis - Ser.: Appl. Math. Mech. Eng. 56(1), 401–408 (2013). ISSN 2393–298
Acknowledgment
The project was made possible by a collaboration between the Technical University of Cluj-Napoca, Technical University of Wien, facilitated by the CEEPUS program, and the OeAD.
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Cristian, LN. et al. (2023). Study of Improving Spur Gears with the Generative Design Method. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Towards Industry 5.0. ISPR 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-24457-5_38
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DOI: https://doi.org/10.1007/978-3-031-24457-5_38
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