PSI - Issue 53

Martin Matušů et al. / Procedia Structural Integrity 53 (2024) 29 – 36 Author name / Structural Integrity Procedia 00 (2019) 000–000

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4. Conclusions This paper evaluates the influence of heat treatment (HT) on AlSi10Mg using four different HT methods. The HT that heats up the specimens to 300°C for 2 hours and then water cools them (44 Series) yields the highest fatigue strength, despite the silicon network being decomposed, resulting in lower tensile properties. Overall, all heat treatments seem to benefit fatigue strength in this case. However, the heat treatment with decomposed silicon network results in lower fatigue strength in the LCF region, which is consistent with the tensile testing results. The Fargione’s method for life prediction, which utilizes the naturally occurring self-heating effect, was tested with potentially good results. However, the main problems with this method include the lack of a lower amplitude limitation and the non-constant nature of the limiting energy parameter. Acknowledgements The authors acknowledge the support by the Czech Ministry of Education, Youth and Sports within the LUABA22071 project, The Bavarian-Czech Academic Agency (BTHA-JC-2022-30 project), The Grant Agency of the Czech Technical University in Prague within the SGS23/156/OHK2/3T/12 project and ESIF, EU Operational Programme Research, Development and Education, from the Center of Advanced Aerospace Technology (CZ.02.1.01/0.0/0.0/16_ 019/0000826), Faculty of Mechanical Engineering, Czech Technical University in Prague is appreciated. This work was also supported by FCT, through IDMEC, under LAETA, project UIDB/50022/2020. References Luong, M., 1998, Fatigue limit evaluation of metals using an infrared thermographic technique. Mechanics of Materials vol. 28, 155-163, https://doi.org/10.1016/S0167-6636(97)00047-1 Prochazka, R., Dzugan, J., Konopik, P., 2017; Fatigue limit evaluation of structure materials based on thermographic analysis. Procedia Structural Integrity, vol. 7:315-320. https://doi.org/10.1016/j.prostr.2017.11.094. La Rosa G., 2000, Thermographic methodology for rapid determination of the fatigue limit of materials and mechanical components. International Journal of Fatigue, vol. 22, 65-73. https://doi.org/10.1016/S0142-1123(99)00088-2. Huang, J., Pastor, M., Garnier, C., Gong, X., 2017, Rapid evaluation of fatigue limit on thermographic data analysis. International Journal of Fatigue, vol. 104, 293-301. https://doi.org/10.1016/j.ijfatigue.2017.07.029. Matuš ů , M., Papuga, J., Mžourek, M., 2022, Fatigue st rength estimation of 42CrMo4 QT from the temperature evolution during cyclic loading. Procedia Structural Integrity, vol. 42:102-109. https://doi.org/10.1016/j.prostr.2022.12.012. Papuga, J., Mžourek, M., Matuš ů , M., Mára, V., Č apek, J., 2023, Investigation of the size effect on 42CrMo4 QT steel in the high-cycle fatigue domain part I: Experimental campaign. International Journal of Fatigue vol. 175. https://doi.org/10.1016/j.ijfatigue.2023.107743. Fargione G., 2001, Rapid determination of the fatigue curve by the thermographic method. International Journal of Fatigue, vol. 24:11-19. https://doi.org/10.1016/S0142-1123(01)00107-4. Lipski A., 2016, Rapid Determination of the S - N Curve for Steel by means of the Thermographic Method. Advances in Materials Science and Engineering vol. 2016, 1-8. https://doi.org/10.1155/2016/4134021. Matuš ů , M., Dimke, K., Šimota, J., Papuga, J., Rosenthal, J., Mára, V., Beránek, L., 2023, Energy-based method for analyzing fatigue properties of additively manufactured AlSi10Mg. Journal of Mechanical Science and Technology, vol. 37. https://doi.org/10.1007/s12206-022 2110-6. ASTM E739-10 Standard Practice for Statistical Analysis of Linear or Linearized Stress-Life (S-N) and Strain-Life (e-N) Fatigue Data 1981. Torabian, N., Favier, V., Ziaei-Rad, S., Dirrenberger, J., Adamski, F., Ranc, N., 2017, Calorimetric Studies and Self-Heating Measurements for a Dual-Phase Steel Under Ultrasonic Fatigue Loading. Fatigue and Fracture Test Planning, Test Data Acquisitions and Analysis, 81-93. https://doi.org/10.1520/STP159820160053. Meneghetti, G., 2007, Analysis of the fatigue strength of a stainless steel based on the energy dissipation. International Journal of Fatigue, vol. 29:81-94. https://doi.org/10.1016/j.ijfatigue.2006.02.043. R ů ži č ková, L., Sobotová, J., Beránek, L., Pelikán, L., Šimota, J., 2022, Influence of Stress Relief Annealing Parameters on Mechanical Properties and Decomposition of Eutectic Si Network of L-PBF Additive Manufactured Alloy AlSi10Mg. Metals, vol. 12. https://doi.org/10.3390/met12091497. Kohout, J., V ě chet, S., 2001, A new function for fatigue curves characterization and its multiple merits. International Journal of Fatigue, vol. 23:175-183. https://doi.org/10.1016/S0142-1123(00)00082-7. Rennert R. FKM-Richtlinie – Rechnerischer Festigkeitsnachweis für Maschinenbauteile. 6th rev. ed. Frankfurt am Main: VDMA Verlag GmbH; 2012.