Assessment of surface waviness of casting patterns made using 3D printing technologies

• Autorzy: Zmarzły Paweł , Gogolewski Damian , Kozior Tomasz

Identyfikatory

DOI

10.24425/bpasts.2023.144585

• Języki publikacji: EN

Abstrakty

EN

The application of 3D printers significantly improves the process of producing foundry patterns in comparison to traditional methods of their production. It should be noted that the quality of the surface texture of the foundry pattern is crucial because it affects the quality of the casting mold and eventually the finished casting. In most studies, the surface texture is examined by analyzing the 2D or 3D roughness parameters. This is a certain limitation because, in the case of 3D printing, the influence of technological parameters is more visible for irregularities of a longer range, such as surface waviness. In the paper, the influence of the 3D printing layer thickness on the formation of waviness of the surface of casting patterns was analyzed. Three 3D printers, differing in terms of printing technology and printing material, were tested: PJM (PolyJet Matrix), FDM (fused deposition modeling) and SLS (selective laser sintering). In addition, the surface waviness of patterns manufactured with traditional methods was analyzed. Surface waviness has been measured using the Form Talysurf PGI 1200 measuring system. Preliminary results of the research showed that the layer thickness significantly influences the values of waviness parameters of the surface in the casting patterns made with FDM, PJM and SLS additive technologies. The research results indicated that the smallest surface waviness as defined by parameters Wa, Wq and Wt was obtained for patterns printed using the PJM technology, while the highest was noted when using the FDM technology.

Słowa kluczowe

EN

3D printing; foundry industry; casting pattern; surface waviness

PL

przemysł odlewniczy; falistość powierzchni; druk 3D; forma odlewnicza

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2023
• Tom: Vol. 71, nr 1
• Strony: art. no. e144585
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Zmarzły Paweł

• Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, Poland

• https://orcid.org/0000-0003-3717-1500

autor

Gogolewski Damian

• Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, Poland

autor

Kozior Tomasz

• Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, Poland

Bibliografia

• [1] R. Anjul and S.K. Ganguly, “Artificial intelligence in metal castingindustries: A review,” Int. J. Adv. Manag. Technol. Eng. Sci., vol. 8, no. III, pp. 1416–1419, 2018.
• [2] R.K. Tewo, H.L. Rutto, W. Focke, T. Seodigeng, and L.K. Koech, “Formulations, development and characterization techniques of investmentcasting patterns,” Rev. Chem. Eng., vol. 35, no. 3, pp. 335–349, 2019, doi: 10.1515/revce-2017-0068.
• [3] H. Abdillah and U. Ulikaryani, “Hybrid manufacturing and rapidprototyping in metal casting industry: A review,” in Proc. of the 2nd International Conference of Science and Technology for the Internet of Things, ICSTI 2019, Indonesia, 2021, doi: 10.4108/eai.20-9-2019.2290957.
• [4] S. Yan Tang, L. Yang, Z. Tian Fan, W. Ming Jiang, and X. Wang Liu, “Areview of additive manufacturing technology and its application to foundryin China,” China Foundry, vol. 18, no. 4, pp. 249–264, 2021, doi: 10.1007/s41230-021-1003-0.
• [5] M. Mukhtarkhanov, A. Perveen, and D. Talamona, “Application of stereolithography based 3D printing technology in investment casting,” Micromachines, vol. 11, no. 10, p. 946, 2020, doi: 10.3390/mi11100946.
• [6] S. Singh and R. Singh, “Fused deposition modelling based rapid patterns for investment casting applications: A review,” Rapid Prototyping J., vol. 22, no. 1, pp. 123–143, 2016, doi: 10.1108/RPJ-02-2014-0017.
• [7] N.N. Mohd Mustafa, A.Z. Abdul Kadir, N.H. Akhmal Ngadiman, A. Ma’aram, and K. Zakaria, “Comparison of different additive manufacturing patterns onthe performance of rapid vacuum casting for mating parts via the Taguchi method,” J. Mech. Eng. Sci., vol. 14, no. 1, pp. 6417–6429, 2020, doi: 10.15282/jmes.14.1.2020.17.0502.
• [8] H.B. Henderson et al., “Additively manufactured single-use molds and reusable patterns for large automotive and hydroelectric components,” Int. J. Met., vol. 14, no. 2, pp. 356–364, 2020, doi: 10.1007/s40962-019-00379-0.
• [9] P. Zmarzły, D. Gogolewski, and T. Kozior, “Design guidelines for plastic casting using 3D printing,” J. Eng. Fiber. Fabr., vol. 15, pp. 1–10, 2020, doi: 10.1177/1558925020916037.
• [10] P. Zmarzły, T. Kozior, and D. Gogolewski, “Dimensional and shape accuracy of foundry patterns fabricated through photocuring,” Teh. Vjesn., vol. 26, no. 6, pp. 1576–1584, 2019, doi: 10.17559/TV-20181109115954.
• [11] R.B. Kristiawan, F. Imaduddin, D. Ariawan, Ubaidillah, and Z. Arifin, “A review on the fused deposition modeling (FDM) 3D printing: Filament processing, materials, and printing parameters,” Open Eng., vol. 11, no. 1, pp. 639–649, 2021, doi: 10.1515/eng-2021-0063.
• [12] A. Cano-Vicent et al., “Fused deposition modelling: Current status, methodology, applications and future prospects,” Addit. Manuf., vol. 47, p. 102378, 2021, doi: 10.1016/j.addma.2021.102378.
• [13] F. Lupone, E. Padovano, F. Casamento, and C. Badini, “Process phenomena and material properties in selective laser sintering of polymers: A review,” Materials, vol. 15, no. 1, p. 183, 2022, doi: 10.3390/ma15010183.
• [14] M.V. Kulkarni, “Selective laser sintering process – a review,” Int. J. Curr. Eng. Sci. Res., vol. 2, no. 10, pp. 91–100, 2015.
• [15] J.S. Shim, J.E. Kim, S.H. Jeong, Y.J. Choi, and J.J. Ryu, “Printing accuracy, mechanical properties, surface characteristics, and microbial adhesion of 3D-printed resins with various printing orientations,” J. Prosthet. Dent., vol. 124, no. 4, pp. 468–475, 2020, doi: 10.1016/j.prosdent.2019.05.034.
• [16] D. Vysochinskiy, N. Akhtar, T. Nordmo, M.R. Strand, A. Vyssios, and M.K. Bak, “Experimental investigation of effect of printing direction and surface roughness on the mechanical properties of AlSi10Mg-alloy produced by selective laser melting,” 24th International Conference on Material Forming ESAFORM 2021, 2021, doi: 10.25518/esaform21.3627.
• [17] A. Cazón, P. Morer, and L. Matey, “PolyJet technology for product prototyping: Tensile strength and surface roughness properties,” in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2014, vol. 228, no. 12, pp. 1664–1675, doi: 10.1177/0954405413518515.
• [18] Z. Lei, W. Su, and Q. Hu, “Multimode decomposition and wavelet threshold denoising of mold level based on mutual information entropy,” Entropy, vol. 21, no. 2, p. 202, 2019, doi: 10.3390/e21020202.
• [19] D. Gogolewski, “Fractional spline wavelets within the surface texture analysis,” Measurement, vol. 179, p. 109435, 2021, doi: 10.1016/j.measurement.2021.109435.
• [20] S. Adamczak, P. Zmarzly, T. Kozior, and D. Gogolewski, “Assessment of roundness and waviness deviations of elements produced by Selective Laser Sintering Technology,” in 23rd International Conference Engineering Mechanics 2017, 2017, pp. 70–73.
• [21] S. Adamczak, P. Zmarzly, T. Kozior, and D. Gogolewski, “Analysis of the dimensional accuracy of casting models manufactured by Fused deposition Modeling Technology,” in 23rd International Conference Engineering Mechanics 2017, 2017, pp. 66–69.
• [22] J. Bochnia, “Evaluation of relaxation properties of digital materials obtained by means of PolyJet Matrix technology,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 66, no. 6, pp. 891–897, 2018, doi: 10.24425/bpas.2018.125936.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).