Prediction of the influence of printing parameters on the residual stress using numerical simulation

• Autorzy: Alzyod Hussein , Ficzere Péter

Identyfikatory

DOI

10.2478/czoto-2022-0015

• Języki publikacji: EN

Abstrakty

EN

Fused Deposition Modeling is an additive manufacturing technology that is used to create a wide range of parts and applications. Along with its benefits, there are some challenges regarding the printed parts' mechanical properties, which are associated with printing parameters like layer thickness, printing speed, infill density, printing temperature, bed temperature, infill pattern, chamber temperature, and printing orientation. One of the most crucial challenges in additive manufacturing technology is the residual stress, which significantly affects the parts like fatigue life, cracks propagation, distortions, dimensional accuracy, and corrosion resistance. Residual stress is hard to detect in the components and sometimes is costly to investigate. Printing specimens with different parameters costs money and is timeconsuming. In this work, numerical simulation using Digimat-AM software was employed to predict and minimize the residual stress in printed Acrylonitrile Butadiene Styrene material using Fused Deposition Modeling technology. The printing was done by choosing six different printing parameters with three values for each parameter. The results showed a significant positive correlation between residual stress and printing temperature and infill percentage and a negative correlation with layer thickness and printing speed. At the same time, we found no effect of the bed temperature on the residual stress. Finally, the minimum residual stress was obtained with a concentric infill pattern.

Słowa kluczowe

EN

Fused Deposition Modeling; 3D printing; residual stress; Digimat-AM; ABS

PL

drukowanie 3D; wytwarzanie przyrostowe; naprężenia szczątkowe

• Wydawca: De Gruyter
• Czasopismo: System Safety : Human - Technical Facility - Environment
• Rocznik: 2022
• Tom: Vol. 4, nr 1
• Strony: 150--156
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Alzyod Hussein

• University of Technology and Economics, Hungary

• https://orcid.org/0000-0002-6304-4540

autor

Ficzere Péter

• University of Technology and Economics, Hungary

• https://orcid.org/0000-0003-3207-5501

Bibliografia

• 1. Aliheidari, N. et al. 2017. Fracture resistance measurement of fused deposition modeling 3D printed polymers. Polymer Testing 60, pp. 94–101. doi: 10.1016/j.polymertesting.2017.03.016.
• 2. Alsardia, T. et al. 2021. PROTOTYPE FOR FIT INVESTIGATIONS. Design of Machines and Structures 11(1), pp. 5-15. doi: 10.32972/dms.2021.001.
• 3. Casavola, C. et al. 2017. Residual stress measurement in Fused Deposition Modelling parts. Polymer Testing 58, pp. 249–255. doi: 10.1016/j.polymertesting.2017.01.003.
• 4. Cuan-Urquizo, E. et al. 2019. Characterization of the Mechanical Properties of FFF Structures and Materials: A Review on the Experimental, Computational and Theoretical Approaches. Materials 12(6), p. 895. doi: 10.3390/ma12060895.
• 5. Dilberoglu, U.M. et al. 2017. The Role of Additive Manufacturing in the Era of Industry 4.0. Procedia Manufacturing 11, pp. 545–554. doi: 10.1016/j.promfg.2017.07.148.
• 6. Ficzere, P. et al. 2017. Reduction possibility of residual stresses from additive manufacturing by photostress method. Materials Today: Proceedings 4(5), pp. 5797–5802. doi: 10.1016/j.matpr.2017.06.048.
• 7. Gebhardt, A. 2011. Understanding Additive Manufacturing. Carl Hanser Verlag GmbH & Co. KG. doi: 10.3139/9783446431621.
• 8. Gibson, I. et al. 2015. Additive Manufacturing Technologies. New York, NY: Springer New York. doi: 10.1007/978-1-4939-2113-3.
• 9. Hadny, A. et al. 2022. Optimization of Injection Molding Simulation of Bioabsorbable Bone Screw Using Taguchi Method and Particle Swarm Optimization. Jordan Journal of Mechanical and Industrial Engineering 16(2), pp. 319–325.
• 10. Harun, W.S.W. et al. 2018. A review of powdered additive manufacturing techniques for Ti-6al-4v biomedical applications. Powder Technology 331, pp. 74–97. doi: 10.1016/j.powtec.2018.03.010.
• 11. Jyothishand Kumar, L. and Krishnadas Nair, C.G. 2017. Current Trends of Additive Manufacturing in the Aerospace Industry. In: Wimpenny David Ian and Pandey, P. M. and K. L. J. ed. Advances in 3D Printing & Additive Manufacturing Technologies. Singapore: Springer Singapore, pp. 39–54. Available at: https://doi.org/10.1007/978-981-10-0812-2_4.
• 12. Kantaros, A. and Karalekas, D. 2013. Fiber Bragg grating based investigation of residual strains in ABS parts fabricated by fused deposition modeling process. Materials & Design 50, pp. 44–50. doi: 10.1016/j.matdes.2013.02.067.
• 13. Lipton, J.I. et al. 2015. Additive manufacturing for the food industry. Trends in Food Science & Technology 43(1), pp. 114–123. doi: 10.1016/j.tifs.2015.02.004.
• 14. Mousa, A.A. 2014. The Effects of Content and Surface Modification of Filler on the Mechanical Properties of Selective Laser Sintered Polyamide12 Composites. Jordan Journal of Mechanical and Industrial Engineering 8, pp. 265–274.
• 15. Safronov, V.A. et al. 2017. Distortions and Residual Stresses at Layer-by-Layer Additive Manufacturing by Fusion. Journal of Manufacturing Science and Engineering 139(3). doi: 10.1115/1.4034714.
• 16. Withers, P.J. and Bhadeshia, H.K.D.H. 2001. Residual stress part 1 - Measurement techniques. Materials Science and Technology 17(4), pp. 355–365. doi: 10.1179/026708301101509980

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).