Skip to main content
SpringerLink
Log in

Numerical evaluation of zirconium reinforced aluminium matrix composites for sustainable environment

  • Original Research
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

Due to the momentous advantages of composite materials, recent years many studies focused on reinforcing different new materials to the existing ones to improve their conventional strength and life time within the concern of application status. In the row, reinforcements on Al6061 become a fancy topic among researchers due to its wide applications including automobiles, yachts, electrical fittings and so on. This study continues this innovation by reinforcing three different reinforcement materials including zirconia (ZrO2), zirconia + aluminium oxide (ZrO2 +Al2O3) and fused zirconia aluminum (40FZA). These three reinforcing materials are included with the proposition of varying particle reinforcements as 5, 10 and 15%. The testing specimens were experimented to explore its mechanical, wear and corrosion behavior. Further the experimental results are given as inputs to the numerical analysis, PROMETHEE. By combining the experimental and numerical methodologies the reliability of the results were improved. However, from this study it can be evident that inclusion of 15% particle reinforcement of zirconia fused alumina in Al6061 provides greater strength, toughness, high resistance to wear and corrosion on both experimental and numerical analysis. There is ample room that this proposed material inclusion be a better option for the reinforcement of Al6061 among available alternatives for sustainable development.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Anojkumar, L., Ilangkumaran, M., & Sasirekha, V. (2014). Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Systems with Applications, 41(6), 2964–2980.

    Article  Google Scholar 

  • Athawale, V. M., Chatterjee, P., & Chakraborty, S. (2012). Decision making for facility location selection using PROMETHEE II method. International Journal of Industrial and Systems Engineering 1, 11(1–2), 16–30.

    Article  Google Scholar 

  • Bilsel, R. U., Büyüközkan, G., & Ruan, D. (2006). A fuzzy preference ranking model for a quality evaluation of hospital web sites. International Journal of Intelligent Systems, 21(11), 1181–1197.

    Article  Google Scholar 

  • Brans, J. P., Vincke, P., & Mareschal, B. (1986). How to select and how to rank projects: The PROMETHEE method. European Journal of Operational Research, 24(2), 228–238.

    Article  Google Scholar 

  • Chou, W. C., Lin, W. T., & Lin, C. Y. (2007a). Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: A case study in Shihmen Reservoir Watershed, Taiwan. Ecological Engineering, 31(4), 269–280.

    Article  Google Scholar 

  • Chou, W. C., Lin, W. T., & Lin, C. Y. (2007b). Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: A case study in Shihmen Reservoir Watershed, Taiwan. Ecological Engineering, 31(4), 269–280.

    Article  Google Scholar 

  • Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19(4), 397–406.

    Article  Google Scholar 

  • Ezatpour, H. R., Torabi Parizi, M., Sajjadi, S. A., & Ebrahimi, G. R. (2017). Optimum selection of A356/Al2O3 nano/microcomposites fabricated with different conditions based on mathematical method. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 231(4), 373–381.

    Article  Google Scholar 

  • Geldermann, J., Spengler, T., & Rentz, O. (2000). Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy Sets and Systems, 115(1), 45–65.

    Article  Google Scholar 

  • Gul, M., Celik, E., Gumus, A. T., & Guneri, A. F. (2017). A fuzzy logic based PROMETHEE method for material selection problems. Beni-Suef University Journal of Basic and Applied Sciences, 7(1), 68–79.

    Article  Google Scholar 

  • Lolli, F., Ishizaka, A., Gamberini, R., Rimini, B., Ferrari, A. M., Marinelli, S., et al. (2016). Waste treatment: an environmental, economic and social analysis with a new group fuzzy PROMETHEE approach. Clean Technologies and Environmental Policy, 18(5), 1317–1332.

    Article  Google Scholar 

  • Manu, K. S., Rajan, T. P. D., & Pai, B. C. (2016). Structure and properties of squeeze infiltrated zirconia grade-aluminosilicate short fiber reinforced aluminum composites. Journal of Alloys and Compounds, 688, 489–499.

    Article  Google Scholar 

  • Marachakkanavar, M., Sanjey, S. J., Korade, D. N., & Jagtap, K. R. (2017). Experimental investigation of mechanical properties of Al6061 reinforced with iron ore. Materials Today: Proceedings, 4(8), 8219–8225.

    Google Scholar 

  • Nagaral, M., Shivananda, B. K., Auradi, V., Parashivamurthy, K. I., & Kori, S. A. (2017). Mechanical behavior of Al6061-Al2O3 and Al6061-graphite composites. Materials Today: Proceedings, 4(10), 10978–10986.

    Google Scholar 

  • Pazhouhanfar, Y., & Eghbali, B. (2018). Microstructural characterization and mechanical properties of TiB2 reinforced Al6061 matrix composites produced using stir casting process. Materials Science and Engineering A, 710, 172–180.

    Article  Google Scholar 

  • Pournaderi, S., & Akhlaghi, F. (2017). Wear behaviour of Al6061-Al2O3 composites produced by in situ powder metallurgy (IPM). Powder Technology, 313, 184–190.

    Article  Google Scholar 

  • Tuzkaya, G., Gülsün, B., Kahraman, C., & Özgen, D. (2010). An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert Systems with Applications, 37(4), 2853–2863.

    Article  Google Scholar 

  • Wang, T. C., Chen, L. Y., & Chen, Y. H. (2008). Applying fuzzy PROMETHEE method for evaluating IS outsourcing suppliers. In Fuzzy systems and knowledge discovery, 2008. FSKD’08. Fifth international conference on (vol. 3, pp. 361–365). IEEE.

  • Wang, J. J., Jing, Y. Y., Zhang, C. F., Shi, G. H., & Zhang, X. T. (2008b). A fuzzy multi-criteria decision-making model for trigeneration system. Energy Policy, 36(10), 3823–3832.

    Article  Google Scholar 

  • Yilmaz, B., & Dağdeviren, M. (2011). A combined approach for equipment selection: F-PROMETHEE method and zero-one goal programming. Expert Systems with Applications, 38(9), 11641–11650.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, MIET Engineering College, Trichy, 620007, India

    S. Roseline

  2. Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul, 624601, India

    V. Paramasivam

  3. Department of Mechanical Engineering, SBM College of Engineering and Technology, Dindigul, 624005, India

    R. Anandhakrishnan

  4. Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar, 608002, India

    P. R. Lakshminarayanan

Authors
  1. S. Roseline
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. Paramasivam
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. Anandhakrishnan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. P. R. Lakshminarayanan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Roseline.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Roseline, S., Paramasivam, V., Anandhakrishnan, R. et al. Numerical evaluation of zirconium reinforced aluminium matrix composites for sustainable environment. Ann Oper Res 275, 653–667 (2019). https://doi.org/10.1007/s10479-018-2931-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-018-2931-y

Keywords

Search

Navigation