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Dimensional and geometrical deviations of an assembly with a lattice structure manufactured by a material extrusion process: numerical and experimental results

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Abstract

During the additive manufacturing process, some geometrical deviations can arise, due to several thermomechanical phenomena that make residual stress rise. The study of dimensional and geometrical deviations connected with a manufacturing process is very important to achieve high-quality parts and to be able to assemble the obtained parts to arrive at assembly products with the desired functional requirements. This work aims to show a numerical procedure to predict the dimensional and geometrical deviations from the nominal of two parts in ABS material with a lattice structure inside an assembly that starts from the models of the parts obtained by simulating the material extrusion process. The idea is to control the volume of the lattice parts using the proposed measurement routines that take into account the surfaces of the lattice parts commonly used to couple them. Once virtually printed, the proposed numerical procedure converts each of the two parts constituting the assembly into a skin model shape representation to which least squares algorithms are applied to define dimensional and geometrical errors of the boundary surfaces of the part. The model was validated using a set of experimental tests; both the parts of the assembly were manufactured and their boundary surfaces were measured by a coordinate measuring machine. The obtained results were compared with those numerically obtained and a very good agreement was found.

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References

  1. Sun Z, Velásquez-García L (2017) Monolithic FFF-printed, biocompatible, biodegradable, dielectric-conductive microsystems. J Microelectromech Syst 26:1356–1370. https://doi.org/10.1109/JMEMS.2017.2746627

    Article  Google Scholar 

  2. Shanmugam V, VenkataPavan M, Babu K, Karnan B (2021) Fused deposition modeling based polymeric materials and their performance: a review. Pol Compos 42:5656. https://doi.org/10.1002/pc.26275

    Article  Google Scholar 

  3. Vendittoli V, Polini W, Walter MSJ (2022) Geometrical deviations of green parts due to additive manufacturing. Procedia CIRP 114:159–164. https://doi.org/10.1016/j.procir.2022.10.036

    Article  Google Scholar 

  4. Kumar A, Ohdar RK, Mahapatra SS (2009) Improving dimensional accuracy of fused deposition modelling processed part using grey Taguchi method. Mater Des 30:4243–4252. https://doi.org/10.1016/j.matdes.2009.04.030

    Article  Google Scholar 

  5. Sahu RK, MahapatraSS SAK (2013) A study on dimensional accuracy of fused deposition modeling (FDM) processed parts using fuzzy logic. J Manuf Sci Prod 13:183–197. https://doi.org/10.1515/jmsp-2013-0010

    Article  Google Scholar 

  6. Chang DY, Huang BH (2011) Studies on profile error and extruding aperture for the RP parts using the fused deposition modelling process. Int J Adv Manuf Technol 53:1027–1037. https://doi.org/10.1007/s00170-010-2882-1

    Article  Google Scholar 

  7. Peng A, **ao X, Yue R (2014) Process parameter optimization for fused deposition modeling using response surface methodology combined with fuzzy inference system. Int J Adv Manuf Technol 73:87–100. https://doi.org/10.1007/s00170-014-5796-5

    Article  Google Scholar 

  8. Ahmed O, Hasan S, Lal J (2016) Optimization of fused deposition modeling process parameters for dimensional accuracy using I-optimality criterion. Measurem 81:174–196. https://doi.org/10.1016/j.measurement.2015.12.011

    Article  Google Scholar 

  9. Rahman H, John TD, Sivadasan M, Singh NK (2018) Investigation on the scale factor applicable to ABS based FDM additive manufacturing. Mater Today Proc 5:1640–1648. https://doi.org/10.1016/j.matpr.2017.11.258

    Article  Google Scholar 

  10. Noriega A, Blanco D, Alvarez BJ, Garcia A (2013) Dimensional accuracy improvement of FDM square cross-section parts using artificial neural networks and an optimization algorithm. Int J Adv Manuf Technol 69:2301–2313. https://doi.org/10.1007/s00170-013-5196-2

    Article  Google Scholar 

  11. Alafaghani A, Qattawi A, Alrawi B, Guzman A (2017) Experimental optimization of fused deposition modelling processing parameters: a design-for-manufacturing approach. Procedia Manuf 10:791–803. https://doi.org/10.1016/j.promfg.2017.07.079

    Article  Google Scholar 

  12. Rashid AA, Muammer K (2021) A review of numerical simulation techniques. Polym 13:3534–3544. https://doi.org/10.3390/polym13203534

    Article  Google Scholar 

  13. Guo A, Kong D (2022) Method for preparing damage-resistant 3D-printed ceramics via interior-to-exterior strengthening and toughening. Addit Manuf Part A 60:103272. https://doi.org/10.1016/j.addma.2022.103272

    Article  Google Scholar 

  14. Guo A, Liu C (2022) Water absorption rates and mechanical properties of material extrusion-printed continuous carbon fiber-reinforced nylon composites. J Mater Res Technol 21:3098–3112. https://doi.org/10.1016/j.jmrt.2022.10.134

    Article  Google Scholar 

  15. Gazzerro A, Polini W, Sorrentino L (2021) Investigation on selective laser sintering of PA12: dimensional accuracy and mechanical performance. Rap Prototyp J 27(5):1010–1019. https://doi.org/10.1108/RPJ-06-2020-0125

    Article  Google Scholar 

  16. Boschetto A, Bottini L (2014) Accuracy prediction in fused deposition modelling. Int J Adv Manuf Technol 73:913–928. https://doi.org/10.1007/s00170-014-5886-4

    Article  Google Scholar 

  17. Boschetto A, Bottini L (2016) Design for manufacturing of surfaces to improve accuracy in fused deposition modeling. Robot Comput Integr Manuf 37:103–114. https://doi.org/10.1016/j.rcim.2015.07.005

    Article  Google Scholar 

  18. Boschetto A, Bottini L (2015) Triangular mesh o_set aiming to enhance Fused deposition modelling accuracy. Int J Adv Manuf Technol 80:99–111. https://doi.org/10.1007/s00170-015-6992-7

    Article  Google Scholar 

  19. Müller T, Salem M, Elkaseer A (2022) Development of correction factors for FDM 3D printers: experimental investigation and ANN modelling. In: Scholz SG, Howlett RJ, Setchi R (eds) Sustainable design and manufacturing. Springer, Singapore, pp 314–326

    Chapter  Google Scholar 

  20. Vendittoli V, Polini W, Walter MSJ (2022) Geometrical deviations of green parts due to additive manufacturing: a synthetic geometrical performance index. Proc CIRP 114:159–164. https://doi.org/10.1016/j.procir.2022.10.036

    Article  Google Scholar 

  21. Sajan N, John TD, Sivadasan M, Singh NK (2018) An investigation on circularity error of components processed on fused deposition modeling (FDM). Mater Today Proc 5:1327–1334. https://doi.org/10.1016/j.matpr.2017.11.218

    Article  Google Scholar 

  22. Mahmood S, Qureshi AJ, Talamona D (2018) Taguchi based process optimization for dimension and tolerance control for fused deposition modelling. Addit Manuf 21:183–190. https://doi.org/10.1016/j.addma.2018.03.009

    Article  Google Scholar 

  23. Nuñez PJ, Rivas A, García-Plaza E, Beamud E, Sanz-Lobera A (2015) Dimensional and surface texture characterization in fused deposition modelling (FDM) with ABS plus. Procedia Eng 132(132):856–863. https://doi.org/10.1016/j.proeng.2015.12.570

    Article  Google Scholar 

  24. Carrino L, Giorleo G, Polini W, Prisco U (2002) Dimensional errors in longitudinal turning based on the unified generalized mechanics of cutting approach. Part II: Machining process analysis and dimensional error estimate. Int J Mach Tools Manuf 42(14):1517–1525. https://doi.org/10.1016/S0890-6955(02)00118-9

    Article  Google Scholar 

  25. Corrado A, Polini W (2019) Measurement of high flexibility components in composite material by touch probe and force sensing resistors. J Manuf Proc 45:520–531. https://doi.org/10.1016/j.jmapro.2019.07.038

    Article  Google Scholar 

  26. Moroni G, Petrò S, Polini W (2014) Robust design of fixture configuration. Procedia CIRP 21:189–194. https://doi.org/10.1016/j.procir.2014.03.120

    Article  Google Scholar 

  27. Corrado A, Polini W (2017) Assembly design in aeronautic field: from assembly jigs to tolerance analysis. Proc Inst Mech Eng, Part B: J Eng Manuf 231(14):2652–2663. https://doi.org/10.1177/0954405416635033

    Article  Google Scholar 

  28. Ferreira K, Anwer N, Mehdi-Souzani C (2021) Characterization of L-PBF lattice structures geometric defects. Procedia CIRP 100:846–851. https://doi.org/10.1016/j.procir.2021.05.033

    Article  Google Scholar 

  29. Schleich B, Anwer N, Mathieu L, Wartzack S (2014) Skin Model Shapes: a new paradigm shift for geometric variations modelling in mechanical engineering. Comp Aid Des 50:1–15. https://doi.org/10.1016/j.cad.2014.01.001

    Article  Google Scholar 

  30. Zortrax (2021) Technical data sheet of Z-ABS. www.zortrax.com/filament/Z-ABS. Accessed 2022

  31. Corrado A, Polini W (2022) A virtual approach from design to inspection to evaluate geometrical deviations of parts manufactured by FFF process during the design stage. accepted for publication in progress in additive manufacturing. Accessed 09 May 2023

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Acknowledgements

The authors are grateful to Eng. Luca Carmine Visco for supporting this work, Fablab of Ferentino to help with experimental validation, to Prof. Nabil Anwer for his contribution to defining the reference case study.

Funding

This work has been started, thanks to an Erasmus + Traineeship position and was funded by the Italian M.I.U.R. (Ministry of Instruction, University, and Technology Research).

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All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Andrea Corrado and Wilma Polini. The first draft of the manuscript was written by Wilma Polini, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Wilma Polini.

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Polini, W., Corrado, A. Dimensional and geometrical deviations of an assembly with a lattice structure manufactured by a material extrusion process: numerical and experimental results. Int J Adv Manuf Technol 127, 689–701 (2023). https://doi.org/10.1007/s00170-023-11579-8

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  • DOI: https://doi.org/10.1007/s00170-023-11579-8

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