Research Article
BibTex RIS Cite

Predictive Modeling of Porosity Formation in Directionally Solidified AlSi10Mg Alloy: Effects of Temperature Gradient, Solidification Time, and Interface Velocity

Year 2025, Volume: 9 Issue: 4, 455 - 460, 31.12.2025
https://doi.org/10.30939/ijastech..1768303

Abstract

Aluminum casting alloys are widely utilized today, particularly in the automotive sector, in line with the pursuit of designing lightweight and energy-efficient vehicles. This widespread application is attributed to their advantageous properties, such as low density, high corrosion resistance, high strength, and superior thermal and electrical conductivity. Porosity, which is one of the most common problems in the products produced by the casting method, renders the product unusable. Since directional solidification is unidirectional heat flow, the effects of solidification parameters, such as temperature gradient, solidification time, solid-liquid interface velocity, on porosity, can be investigated. In this study, the effects of the temperature gradient, solidification time, solid-liquid interface velocity parameters on pore formation were investigated in the one directionally solidified AlSi10Mg alloy at different solidification parameters. Density analysis and microscopic image analysis methods were used according to Archimedes' principle to measure porosity in the samples. When the results obtained are examined one by one, it is seen that the increase in temperature gradient decreases the porosity. However, it has been detected that porosity increases with increasing solid-liquid interface velocity and solidification time. A mathematical model was developed using regression analysis to predict porosity formation with R² = 0.857, showing good correlation between solidification parameters and porosity formation.

References

  • [1] Zhang W, Xu J. Advanced lightweight materials for Automobiles: A review. Mater Des 2022;221:110994. https://doi.org/10.1016/j.matdes.2022.110994.
  • [2] Czerwinski F. Current Trends in Automotive Lightweighting Strategies and Materials. Materials 2021;14:6631. https://doi.org/10.3390/ma14216631.
  • [3] Hao Z, Ju Y, Chen L. Тhe use of aluminium and magnesium al-loys in automotive lightweight technologies. J Mech Sci Technol 2023;37:4615–22. https://doi.org/10.1007/s12206-023-0712-2.
  • [4] Apay S, Özen F, Onar V. Effect of Different Application Pres-sures on Rotary-Friction-Welded AA2024-T6 Joints. Mater Tehnol 2023;57. https://doi.org/10.17222/mit.2023.834.
  • [5] Işıtan A, Aytekin S, Onar V. Enhancing the Microstructure and Mechanical Properties of Cast Aluminum Matrix Composites Through Nano-Al2O3 Reinforcement via CMT and PMC Weld-ing. Int J Met 2024;18:3166–79. https://doi.org/10.1007/s40962-023-01234-z.
  • [6] Kleinbaum S, Jiang C, Logan S. Enabling sustainable transporta-tion through joining of dissimilar lightweight materials. MRS Bull 2019;44:608–12. https://doi.org/10.1557/mrs.2019.178.
  • [7] Emadi P, Andilab B, Ravindran C. Engineering Lightweight Aluminum and Magnesium Alloys for a Sustainable Future. J In-dian Inst Sci 2022;102:405–20. https://doi.org/10.1007/s41745-021-00267-9.
  • [8] Samuel AM, Samuel E, Songmene V, Samuel FH. A Review on Porosity Formation in Aluminum-Based Alloys. Materials 2023;16:2047. https://doi.org/10.3390/ma16052047.
  • [9] Chakravarti S, Sen S. An investigation on the solidification and porosity prediction in aluminium casting process. J Eng Appl Sci 2023;70:21. https://doi.org/1186/s44147-023-00190-z.
  • [10] Lee PD, Chirazi A, See D. Modeling microporosity in aluminum–silicon alloys: a review. J Light Met 2001;1:15–30. https://doi.org/10.1016/S1471-5317(00)00003-1.
  • [11] Gandin Ch-A. From constrained to unconstrained growth during directional solidification. Acta Mater 2000;48:2483–501. https://doi.org/10.1016/S1359-6454(00)00070-7.
  • [12] Hu M, Tan Q, Knibbe R, Xu M, Jiang B, Wang S, et al. Recent applications of machine learning in alloy design: A review. Mater Sci Eng R Rep 2023;155:100746. https://doi.org/10.1016/j.mser.2023.100746.
  • [13] Malekan M, Shabestari SG. Computer-aided cooling curve ther-mal analysis used to predict the quality of aluminum alloys. J Therm Anal Calorim 2011;103:453–8. https://doi.org/10.1007/s10973-010-1023-2.
  • [14] Farahany S, Ourdjini A, Idris MH, Shabestari SG. Computer-aided cooling curve thermal analysis of near eutectic Al–Si–Cu–Fe alloy: Effect of silicon modifier/refiner and solidification condi-tions on the nucleation and growth of dendrites. J Therm Anal Calorim 2013;114:705–17. https://doi.org/10.1007/s10973-013-3005-7.
  • [15] Ghoncheh MH, Shabestari SG, Abbasi MH. Effect of cooling rate on the microstructure and solidification characteristics of Al2024 alloy using computer-aided thermal analysis technique. J Therm Anal Calorim 2014;117:1253–61. https://doi.org/10.1007/s10973-014-3867-3.
  • [16] Ihsan-ul-haq, Shin J-S, Lee Z-H. Computer-aided cooling curve analysis of A356 aluminum alloy. Met Mater Int 2004;10:89–96. https://doi.org/10.1007/BF03027368.
  • [17] Shabestari SG, Ghodrat S. Assessment of modification and for-mation of intermetallic compounds in aluminum alloy using ther-mal analysis. Mater Sci Eng A 2007;467:150–8. https://doi.org/10.1016/j.msea.2007.05.022.
  • [18] Viardin A, Böttger B, Apel M. Phase field assisted analysis of a solidification based metal refinement process. Mater Theory 2022;6:14. https://doi.org/10.1186/s41313-022-00042-y.
  • [19] Qin Q, Li W, Wang W, Li D, Xie L. Effect of Temperature Gradi-ent and Cooling Rate on the Solidification of Iron: A Molecular Dynamics Study. Materials 2024;17:6051. https://doi.org/10.3390/ma17246051.
  • [20] Tourret D, Liu H, LLorca J. Phase-field modeling of microstruc-ture evolution: Recent applications, perspectives and challenges. Prog Mater Sci 2022;123:100810. https://doi.org/10.1016/j.pmatsci.2021.100810.
  • [21] Zhang G, Luo X, Li Y, Liu S. Comparative study of gravity ef-fects in directional solidification of Al-3.5 wt.% Si and Al-10 wt.% Cu alloys. Npj Microgravity 2024;10:114. https://doi.org/10.1038/s41526-024-00454-9.
  • [22] Kavousi S, Gates A, Jin L, Asle Zaeem M. A temperature-dependent atomistic-informed phase-field model to study dendritic growth. J Cryst Growth 2022;579:126461. https://doi.org/10.1016/j.jcrysgro.2021.126461.
  • [23] Wilczek A, Długosz P, Hebda M. Porosity Characterization of Aluminium Castings by Using Particular Non-destructive Tech-niques. J Nondestruct Eval 2015;34:26. https://doi.org/10.1007/s10921-015-0302-z.
  • [24] Kazup Á, Fegyverneki G, Gácsi Z. Evaluation of the Applicability of Computer-Aided Porosity Testing Methods for Different Pore Structures. Metallogr Microstruct Anal 2022;11:774–89. https://doi.org/10.1007/s13632-022-00892-5.
  • [25] Slotwinski JA, Garboczi EJ, Stutzman PE, Ferraris CF, Watson SS, Peltz MA. Characterization of Metal Powders Used for Addi-tive Manufacturing. J Res Natl Inst Stand Technol 2014;119:460. https://doi.org/10.6028/jres.119.018.
  • [26] Du Plessis A, Yadroitsev I, Yadroitsava I, Le Roux SG. X-Ray Microcomputed Tomography in Additive Manufacturing: A Re-view of the Current Technology and Applications. 3D Print Addit Manuf 2018;5:227–47. https://doi.org/10.1089/3dp.2018.0060.
  • [27] Bhagavath S, Gong Z, Wigger T, Shah S, Ghaffari B, Li M, et al. Mechanisms of gas and shrinkage porosity formation in solidify-ing shear bands. J Mater Process Technol 2022;299:117338. https://doi.org/10.1016/j.jmatprotec.2021.117338.
There are 27 citations in total.

Details

Primary Language English
Subjects Materials Engineering (Other)
Journal Section Research Article
Authors

Selçuk Şirin 0000-0002-9129-9217

Adem Demir 0000-0002-5392-5280

Submission Date August 18, 2025
Acceptance Date October 12, 2025
Early Pub Date December 16, 2025
Publication Date December 31, 2025
Published in Issue Year 2025 Volume: 9 Issue: 4

Cite

Vancouver Şirin S, Demir A. Predictive Modeling of Porosity Formation in Directionally Solidified AlSi10Mg Alloy: Effects of Temperature Gradient, Solidification Time, and Interface Velocity. IJASTECH. 2025;9(4):455-60.


International Journal of Automotive Science and Technology (IJASTECH) is published by Society of Automotive Engineers Turkey

by.png