PSI - Issue 51

Daniel Ivaničić et al. / Procedia Structural Integrity 51 (2023) 199 – 205 D. Ivani č i ć et al. / Structural Integrity Procedia 00 (2019) 000–000

205

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measurement errors could have occurred due to insufficient tightening of the sample which caused imperfect clamping, or due to errors in the material that could have occurred during the 3D printing of the samples.

Table 2. Comparison of y axis displacements obtained experimentally and using FE analysis, ABS cantilever sample. Point Average value of measurements [mm] FEA result [mm] Relative deviation [%] 1 1.6145 1.526 5.799 2 1.6105 1.521 5.884 3 1.614 1.522 6.045 4 1.6152 1.521 6.193 5 1.609 1.527 5.370

Table 3. Comparison of y axis displacements obtained experimentally and using FE analysis, PET-G cantilever samples.

1 st PET-G sample

2 nd PET-G sample

Point

Average value of measurements [mm]

FEA result [mm]

Relative deviation [%]

Average value of measurements [mm]

FEA result [mm]

Relative deviation [%]

1 2 3 4 5

1.7265 1.7235 1.7225

1.658 1.653 1.654 1.653 1.658

4.131 4.265 4.141 4.416 4.131

1.841 1.848

1.658 1.653 1.654 1.653 1.658

11.037 11.797 11.699 11.162 11.037

1.8475 1.8375

1.726

1.7265

1.841

4. Conclusion Based on the comparison of the results obtained using the finite element method, and the results obtained by experimental measurement using the ARAMIS system, it can be concluded that the appropriate method was applied when determining the Young’s modulus and that applied boundary conditions well represented the real component loading scenario. The applicability of the Digital Image Correlation method for checking the results obtained by the finite element method is confirmed. The measurement results coincide well with the results obtained by analysis using the finite element method. Acknowledgements This work was supported in part by Croatian Science Foundation under the project IP-2020-02-5764, by University of Rijeka under the project number uniritehnic-18-116 and University of Rijeka, Center for Advanced Computing and Gerbig, D., Bower, A., Savic, V., Hector, L. G., 2016. Coupling digital image correlation and finite element analysis to determine constitutive parameters in necking tensile specimens. International Journal of Solids and Structures 97–98, 496–509. Ivaničić, D. Numerical analysis and topology optimization of load-bearing element , (Master thesis in Croatian). University of Rijeka, Faculty of Engineering, 2020. Larsen, M.L., Arora, V., Clausen, H.B., 2021. Finite element shape optimization of weld orientation in simple plate structure considering different fatigue estimation methods. Procedia Structural Integrity 31, 70–74. Lava, P., Jones, E.M.C., Wittevrongel, L., Pierron, F., 2020. Validation of finite-element models using full-field experimental data: Levelling finite element analysis data through a digital image correlation engine. Strain 56, 1–17. Lovrin, N. Analiza nosivosti evolventnog ozubljenja s velikim stupnjem prekrivanja profila , (Doctoral dissertation in Croatian). University of Rijeka, Faculty of Engineering, 2001. MatWeb Material Property Data. http://www.matweb.com, accessed: October, 2020. Milosevic, N., Younise, B., Sedmak, A., Travica, M., Mitrovic, A., 2021. Evaluation of true stress–strain diagrams for welded joints by application of Digital Image Correlation. Engineering Failure Analysis 128, 105609. Modelling. References