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Modelling the fatigue life reduction of an AlSi9Cu3 alloy caused by macro-porosity

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Abstract

This study focuses on modelling the fatigue life reduction of an AlSi9Cu3 aluminium alloy caused by macro-porosity. The objective was to develop an engineering approach to fatigue life prediction for structural elements with macro-porosity defects. By following this approach a finite element analysis is first applied to assess the dependence of the strain-concentration factor, caused by a failure-dominant pore, on the nominal strain, the pore size and the proximity to the specimen surface. This dependence is then modelled by a nonlinear equation with three independent variables, i.e. the nominal strain, the pore size and the pore proximity to the specimen surface. The parameters of this equation are determined according to the results of the finite element analysis using a real-valued genetic algorithm. The proposed numerical approach was validated using experimental results. For this purpose, cylindrical specimens were manufactured by a high-pressure die casting and three levels of porosity were deliberately introduced into the specimens. The specimens were then tested at several strain levels and the corresponding fatigue life curves were estimated. The statistical significance of the fatigue life reduction due to the porosity level was statistically analysed and the experimental results were compared to the fatigue lives that were calculated with the presented strain-concentration model. The comparison showed a good agreement between the calculated and the experimentally obtained fatigue lives.

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Notes

  1. A square root of the area of the elipse on the fracture surface (see Fig. 2b).

    A 0 = √(πd 2/4) square root of the specimen fracture surface area (see Fig. 2b).

  2. When testing different porosity levels at the same strain levels, a wide fatigue life range is expected. This part of the study searches for significance in the differences between the porosity levels.

References

  1. Horstemeyer MF (2003) Numerical, experimental, nondestructive, and image analyses of damage progression in cast A356 aluminum notch tensile bars. Theor Appl Fract Mech 39:23–45

    Article  Google Scholar 

  2. Fan J, McDowell DL, Horstemeyer MF, Gall K (2003) Cyclic plasticity at pores and inclusions in cast Al–Si alloys. Eng Fract Mech 70:1281–1302

    Article  Google Scholar 

  3. Skallerund B, Iveland T, Harkegard G (1993) Fatigue life assessment of aluminum alloys with casting defects. Eng Fract Mech 44:857–874

    Article  Google Scholar 

  4. Linder J, Axelsson M, Nilsson H (2006) The influence of porosity on the fatigue life for sand and permanent mould cast aluminium. Int J Fatigue 28:1752–1758

    Article  Google Scholar 

  5. Wang QG, Apelian D, Lados DA (2001) Fatigue behaviour of A356-T6 aluminum cast alloys. Part I. Effect of casting defects. J Light Metals 1:85–97

    Google Scholar 

  6. Murakami Y, Endo M (1994) Effects of defects, inclusions and in homogenities on fatigue strength. Int J Fatigue 16:163–182

    Article  Google Scholar 

  7. Gao YX, Yi JZ, Lee PD, Lindley TC (2004) The effect of porosity on the fatigue life of cast aluminium–silicon alloys. Fatigue Fract Eng Mater Struct 27:559–570

    Article  Google Scholar 

  8. Gall K, Horstemeyer MF, Degner BW, McDowell DL, Fan J (2001) On the driving force for fatigue crack formation from inclusions and voids in a cast A356 aluminum alloy. Int J Fract 108(2001):207–233

    Article  Google Scholar 

  9. Seniw ME, Fine ME, Chen EY, Meshii M, Gray J (1997) Relation of defect size and location to fatigue failure in Al alloy A356 cast specimen. In: Proceedings of the 1997 TMS Fall Symposium, Sept. 14–18. ASM International, Indianapolis, IN, USA, pp 371–379

  10. Fintova S, Konstantova V, Konečna R, Nicoletto G (2008), Experimental study of porosity and fatigue behavior of cast Al–Si alloys. Conference Metal 2008, Czech Republic

  11. ASTM E606-92 (1996) Standard practice for strain controlled fatigue testing

  12. Ramberg W, Osgood WR (1943) National Advisory Committee for Aeronautics. Technical note no.902, Washington

  13. Janežič M (2010) The influence of randomness of damage model parameters on development predictions of product durability. Ph.D. Thesis, University of Ljubljana, Slovenia

  14. Wright AH (1991) Genetic algorithms for real parameter optimization. In: Rawlins GJE (ed) Foundations of genetic algorithms. Morgan Kaufman, London

    Google Scholar 

  15. Temby L, Vamplew P, Berry A (2005) Accelerating real-valued genetic algorithms using mutation-with-momentum. In: The 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia

  16. Manson SS (1952) Behavior of material under conditions of thermal stress. Heat Transfer Symposium, University of Michigan

  17. Coffin LF (1954) A study of cyclic-thermal stresses in a ductile metal. Trans ASME 76:931–950

    Google Scholar 

  18. Buffière JY, Savelli S, Jouneau PH, Maire E, Fougères R (2001) Experimental study of porosity and its relation to fatigue mechanisms of model Al–Si7–Mg 0.3 cast Al alloys. Mater Sci Eng A 316:115–126

    Article  Google Scholar 

  19. Klemenc J, Fajdiga M (2012) Estimating S–N curves and their scatter using a differential ant-stigmergy algorithm. Int J Fatigue 43:90–97

    Article  Google Scholar 

  20. Tabachnick B, Fidell LS (2007) Using multivariate statistics, 5th edn. Pearson, United States of America

    Google Scholar 

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Correspondence to Ana Bižal.

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Bižal, A., Klemenc, J. & Fajdiga, M. Modelling the fatigue life reduction of an AlSi9Cu3 alloy caused by macro-porosity. Engineering with Computers 31, 259–269 (2015). https://doi.org/10.1007/s00366-013-0345-7

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  • DOI: https://doi.org/10.1007/s00366-013-0345-7

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