Optimization of process parameters on friction stir welding of 2014 aluminum alloy plates

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Aluminum Alloy 2014 is a light weight high strength alloy used widely in the aerospace and also in other industries. 2014 is the second most popular of the 2000-series aluminium alloys, after 2024 aluminium alloy. However, it is difficult to weld, as it is subject to cracking. Joining of 2014 aluminium alloy in friction stir welding which is based on frictional heat generated through contact between a rotating tool and the work piece. Determination of the welding parameters such as spindle speed, transverse feed , tilt angle plays an important role in weld strength. The whole optimization process is carried out using Taguchi technique. The SEM analysis is done to check the micro structure of the material after welding by electron interaction with the atoms in the sample. Tensile test have been conducted and the s-n ratio curve is generated. The test is conducted and analysed on the basis of ASTM standards.


  • Keywords


    Friction stir welding, aluminium 2014 Alloy, optimization of process parameters, tensile strength.

  • References


      [1] Liu D, Xin R, Sun L, Zhou Z & Liu Q, “Influence of sampling design on tensile properties and fracture behavior of friction stir welded magnesium alloys”, Materials Science & Engineering A, Vol.576, (2013), pp.207-216.

      [2] Sevvel P & Jaiganesh V, “Effect of Tool Shoulder Diameter to Plate Thickness Ratio on Mechanical Properties and Nugget Zone Characteristics During FSW of Dissimilar Mg Alloys”, Transactions of the Indian Institute of Metals, Vol.68, (2015), pp.41–46.

      [3] Sutton MA, Reynolds AP, Yang B & Taylor R, “Mode I fracture and microstructure for 2024-T3 friction stir welds”, Materials Science and Engineering A, Vol.A354, (2003), pp.6-16.

      [4] Sevvel P & Jaiganesh V, “Investigation on evolution of microstructures and characterization during FSW of AZ80A Mg alloy”, Archives of Metallurgy and Materials, Vol.62, No.3, (2017), pp.1779-1785.

      [5] Ozel T & Karpat Y, “Predictive modelling of surface roughness and tool wear in hard turning using regression and neural networks”, International Journal of Machine Tools and Manufacture, Vol.45, (2005), pp.467-479.

      [6] Feng CX & Wang X, “Development of empirical model for surface roughness prediction in finish turning”, International Journal of Advanced Manufacturing Technology, Vol.20, (2002), pp.348-356.

      [7] Ramanujam R, Venkatesan K, Saxena V, Pandey R, Harsha T & Kumar G, „Optimization of Machining Parameters Using Fuzzy Based Principal Component Analysis during dry turning operation of Inconel 625–A hybrid approach“, Procedia Engineering,Vol.97, (2014), pp.668-676.

      [8] Vimalkumar, M.N., Helenprabha, K., Surendar, A.”Classification of mammographic image abnormalities based on emo and LS-SVM techniques”,(2017) Research Journal of Biotechnology, 12 (1), pp. 35-40.

      [9] Manju, K., Sabeenian, R.S., Surendar, A.”A review on optic disc and cup segmentation”,(2017) Biomedical and Pharmacology Journal, 10 (1), pp. 373-379.

      [10] Surendar, A., Rani, N.U.”High speed data searching algorithms for DNA searching”,(2016) International Journal of Pharma and Bio Sciences, 2016 (Special Issue), pp. 73-77.

      [11] Surendar, A., Arun, M.”Efficient DNA sequence analysis for reduced gene selection using frequency analysis”, (2016) Journal of Chemical and Pharmaceutical Sciences, 9 (4), pp. 3367-3373.

      [12] Surendar, A., George, A.”A real-time searching and sequencing assembly platform based on an FPGA implementation for Bioinformatics applications”,(2016) International Journal of Pharma and Bio Sciences, 7 (4), pp. B642-B647.

      [13] Zeng R, Dietzel W, Zettler R, Chen J & Kainer KU, “Microstructure evolution and tensile properties of friction-stir-welded AM50 magnesium alloy”, Transactions of Nonferrous Metals Society of China, Vol.18, (2008), pp.S76–S80.

      [14] Sevvel P & Jaiganesh V, “A detailed investigation on the role of different tool geometry in friction stir welding of various metals & their alloys”, Proceedings of the International Colloquium on ‘Materials, manufacturing & metrology’, (2014), pp.103–107.

      [15] Liu D, Xin R, Sun L, Zhou Z & Liu Q, “Influence of sampling design on tensile properties and fracture behavior of friction stir welded magnesium alloys”, Materials Science & Engineering A, Vol.576, (2013), pp.207–216.

      [16] Jiang JF, Lin X, Wang Y, Qu JJ & Luo SJ, “Microstructural evolution of AZ61 magnesium alloy predeformed by ECAE during semisolid isothermal treatment”, Transactions of Nonferrous Metals Society of China, Vol.22, No.3, (2012), pp.555–563.

      [17] Sevvel P & Jaiganesh V, “An detailed examination on the future prospects of friction stir welding–a green technology”, Proceedings of the International conference on advances in industrial engineering applications, Chennai, India, (2014), pp.62–63.

      [18] Yu S, Chen X, Huang Z & Liu Y, “Microstructure and mechanical properties of friction stir welding of AZ31B magnesium alloy added with cerium”, Journal of Rare Earths, Vol.28, (2010), pp.316–320.


 

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Article ID: 8906
 
DOI: 10.14419/ijet.v7i1.1.8906




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