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AUTHOR(S):

Mohamed Makki Mhalla, Ahmed Bahloul, Chokri Bouraoui

 

TITLE

Reliability prediction of tensile strength of a glass fiber reinforced polyamide using response surface method

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ABSTRACT

The present paper consists firstly in developing mathematical models to predict tensile strength of a glass fiber reinforced polyamide. Based on response surface method (RSM) a mathematical model has been determined, in which three factors with three levels are implemented. Glass fiber content, temperature and strain rate are chosen as the main input parameters in this study. The tensile strength is considered as output response which is evaluated through experimental tests. Secondly the reliability of tensile strength is proposed based on the developed mathematical models, where the dispersions of: (i) the Glass fiber content and (ii) the temperature are taken into account using the Strength Load method with the Monte Carlo simulation. The proposed approach can be used as a powerful and an interesting method for engineering design, to determine with more secure the tensile strength behavior of a glass fiber reinforced polyamide

 

KEYWORDS

Reliability approach, Response surface methodology, Thermoplastic composites, Monte-Carlo simulation.

 

REFERENCES

[1] M. Akay, D.F. Oregan,: 'Fracture behaviour of glass fibre reinforced polyamide mouldings, Polym’. Test. 14 (1995) 149–162.

[2] J.P. Tancrez, J. Pabiot, F. Rietsch, Damage and fracture mechanisms in thermoplastic-matrix composites in relation to processing and structural parameters, Compos. Sci. Technol. 56 (1996) 725–731.

[3] J.L. Thomason, The influence of fibre properties of the performance of glass-fibre-reinforced polyamide 66, Compos. Sci. Technol. 59 (1999) 2315–2328.

[4] S.-Y. Fu, B. Lauke, A. San, Effect of fiber length and fiber orientation distributions on the tensile strength of short fiber reinforced polymers, Comopos. Sci. Technol. 56 (1996) 1179–1190.

[5] Ch. Bouraoui, R. Ben Sghaier, R. Fathallah An engineering predictive design approach of high cycle fatigue reliability of shot peened metallic parts, Materials and Design 30 (2009) 475–486.

[6] R. Ben Sghaier a, Ch. Bouraoui a, R. Fathallah b, T. Hassine a, A. Dogui Probabilistic high cycle fatigue behaviour prediction based on global approach criteria International Journal of Fatigue 29 (2007) 209–221.

[7] Xueyong Qu and Raphael T. Deterministic and Reliability-Based Optimization of Composite Laminates for Cryogenic Environments AIAA JOURNAL Vol. 41, (2013), No. 10.

[8] Zhigang Sun, Changxi Wang, Xuming Niu, Yingdong SongA. Response surface approach for reliability analysis of 2.5D C/SiC composites turbine blade. Composites Part B 85 (2016) 277-285.

[9] Lemaire, M., Chateauneuf, A. and Mitteau, J. C. Fiabilité des structures: couplage mécanofiabiliste statique, Edit. Hermes Paris: 52 (2005) 620.[In French].

[10] Karadeniz H. Uncertainty modeling in the fatigue reliability calculation of offshore structures. Reliab Eng Syst Safe 74 (2001) 23– 35.

[11] Zhao, Y. G., & Ono, T.. Oment for structural reliability. Structural Safety, 23 (2001) 47–75.

[12] R.H. Myers, D.H. Montgomery, Response Surface Methodology, John Wiley & Sons, USA, 1995.

[13] J. Grum, J.M. Slab, J. Mater. Process Tech. 155–156 (2004) 2026–2032.

[14] H. Oktem, T. Erzurmlu, H. Kurtaran, J. Mater. Process Tech. 170 (2005) 11–16.

[15] B. Mouhmid, A. Imad, N. Benseddiq, S. Benmedakhène and A. Maazouz "A study of the mechanical behaviour of a glass fibre reinforced polyamide 6, 6: Experimental investigation", Polymer Testing 25 (2006), 544-552.

[16] Thèse. Bouchaïb MOUHMID, Etude de l'endommagement et de la rupture d'un polyamide 66 chargé en fibres de verre courtes, 2007.

[17] V.Ceolho .Effects of strain rate and temperature on the mechanical properties of gfrp composites. Engenharia Térmica (Thermal Engineering), Vol. 10 (2011) p. 03-06.

Cite this paper

Mohamed Makki Mhalla, Ahmed Bahloul, Chokri Bouraoui. (2017) Reliability prediction of tensile strength of a glass fiber reinforced polyamide using response surface method. International Journal of Mechanical Engineering, 2, 104-110

 

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