REFERENCES. [1] Hidetoshi Fujii, Ling Cui, Masakatsu Maeda, Kiyoshi Nogi, Effect of
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1 138 REFERENCES [1] Hidetoshi Fujii, Ling Cui, Masakatsu Maeda, Kiyoshi Nogi, Effect of tool shape on mechanical properties and microstructure of friction stir welded aluminum alloys, Material Science Engineering Applications 2006; 419: pp [2] Ericsson M. and Scandstrom R., Influence of welding speed on the fatigue of friction stir welds and comparison with MIG and TIG, International Journal of Fatigue, Vol.25, 2003; pp [3] K.Y. Benyounis, A.G. Olabi., Optimization of different welding processes using statistical and numerical approaches A reference guide, Advances in Engineering Software, 39, 2008: pp [4] K. Elangovan, V. Balasubramanian, Influences of tool pin profile and tool shoulder diameter on the formation of friction stir processing zone in AA6061 Aluminum alloy, Journal of Materials and Design 29, 2008; pp [5] Elangovan K, Balasubramanian V. Influences of pin profile and rotational speed of the tool on the formation of friction stir processing zone in AA2219 Aluminum alloy, Material Science Engineering Applications, 459, 2007; pp [6] Scialpi A, De Filippis LAC, Cavaliere P. Influence of shoulder geometry on microstructure and mechanical properties of friction stir
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4 141 [18] Preetish Sinhaa, S. Muthukumaranb, S.K. Mukherjee Analysis of first mode of metal transfer in friction stir welded plates by image processing technique, Journal of Materials Processing Technology, ; pp [19] Hasan Okuyucu, Adem Kurt, Erol Arcaklioglu Artificial neural network applications to the friction stir welding of aluminum plates, Materials and Design, 28, 2007; pp [20] Ibrahim N. Tansel, Mustafa Demetgul, Hasan Okuyucu and Ahmet Yapici Optimizations of friction stir welding of aluminum alloy by using genetically optimized neural network, The International Journal of Advanced Manufacturing Technology, 48, 2009; pp [21] Y. K. Yousif, K. M. Dawas, B. I. Kazem Prediction of Friction Stir Welding Characteristic Using Neural Network, Jordan Journal of Mechanical and Industrial Engineering, 2, 2008; pp [22] A. K. Lakshminarayanan, V. Balasubramanian Comparison of RSM with ANN in predicting tensile strength of friction stir welded AA7039 aluminum alloy joints, Transactions of Nonferrous Metals Society of China, 19, 2009; pp [23] M. Jayaraman, R. Sivasubramanian, V. Balasubramanian and A.K. Lakshminarayanan Application of RSM and ANN to predict the tensile
5 142 strength of Friction Stir Welded A319 cast aluminum alloy, International Journal of Manufacturing Research, Vol. 4, No. 3, [24] M.Vural, A.Ogur, G.Cam, C.Ozarpa On the friction stir welding of aluminum alloys EN AW 2024-O and EN AW 5754-H22, Archieves of Materials Science and Engineering, Vol 28, 2007; pp [25] Yeong-Maw Hwanga, Zong-Wei Kanga, Yuang-Cheng Chioa, Hung- Hsiou Hsu Experimental study on temperature distributions within the work piece during friction stir welding of aluminum alloys, International Journal of Machine Tools & Manufacture, 48, 2008; pp [26] Furkan Sarsılmaz & Ulas Caydas Statistical analysis on mechanical properties of friction-stir-welded AA 1050/AA 5083 couples, International Journal Advanced Manufacturing Technology, 43, 2009; pp [27] Chen, C.M. and Kovacevic, R., Finite element modeling of friction stirs welding thermal and thermo mechanical analysis, International Journal of Machine Tools & Manufacture, 43, 2003; pp [28] Livan Fratini, Gianluca Buffa, Use of Neural Network for predicting the average grain size in Friction Stir Welded processes, Dina Palmeri Computers and Structures, 2009; pp [29] Olga Valerio Flores, Micro structural issues in friction stir welded aluminum alloy, Scripta Materialia, Vol. 38, No.5, 1998; pp
6 143 [30] Lee W.B., Yeon Y.M. and Jung S.B., Mechanical Properties Related to Micro Structural Variation of 6061 Al alloy Joints by Friction Stir Welding, Material Transaction, Vol.45, No.5, pp [31] P. Cavaliere, G. Campanile, F. Panella, A. Squillace Effect of welding parameters on mechanical and micro structural properties of AA6056 joints produced by Friction Stir Welding, Journal of Materials Processing Technology, 180, pp [32] A. K. Lakshminarayanan, V. Balasubramanian and K. Elangovan Effect of welding processes on tensile properties of AA6061 aluminum alloy joints, The International Journal of Advanced Manufacturing Technology, 40, 2009; pp [33] Boz Mustafa, Kurt Adem The influence of stirrer geometry on bonding and mechanical properties in friction stir welding process, Journal of Materials and Design, 25, 2004; pp [34] V. Balasubramanian, Relationship between base metal properties and friction stir welding process parameters, International Journal of Advanced Manufacturing Technology, 36, 2008; pp [35] L. Karthikeyan, V.S. Senthilkumar, V. Balasubramanian, S. Natarajan Mechanical property and micro structural changes during friction stir processing of cast aluminum 2285 alloy, Materials and Design, 30, 2009; pp [36] Mohamed Assidi, Lionel Fourment, Simon Guerdoux, Tracy Nelson, Friction model for friction stir welding process simulation: Calibrations
7 144 from welding experiments, International Journal of Machine Tools & Manufacture, 50, 2010; pp [37] D.M. Rodrigues, A. Loureiro, C. Leitao, R,M. Leal, B.M. Chaparro, P. Vilaca, Influence of friction stir welded parameters on the micro structural and mechanical properties of AA6016 T4 thin welds, Materials and Design, 2009; pp [38] M. Czechowski, Slow strain rate stress corrosion testing of welded joints of Al-Mg alloys, Journal of Achievements in Materials and Manufacturing Engineering, Vol. 20, pp [39] Naiyi Li, Tsung-Yu Pan, Ronald P.Cooper, Dan Q Houston, Zhill Feng and Michael L Santella, Magnesium Technology, Friction Stir Welding of Mg AM60 alloy, 2004; pp. 6pgs. [40] K. Kimapong and T. Watanabe Friction Stir Welding of Aluminum Alloy to Steel, Welding Journal, 2004; pp. 277S - 282S. [41] Khandkar, M.Z.H., Khan, J.A., and Reynolds A.P., Prediction of temperature distribution and thermal history during friction stir welding: input torque based model, Science and Technology of Welding and Joining, 8(3), 2003; pp [42] Chao, Y.J., Qi, X., and Tang, W., Heat transfer in friction stir welding experimental and numerical studies, Journal of Manufacturing Science and Engineering Transactions of the ASME, 125(1), 2003; pp
8 145 [43] Li, T., Shi, Q.Y., and Li, H.K., Residual stresses simulation for friction stir welded joint, Science and Technology of Welding and Joining, 12(8), 2007; pp [44] Terry Dickerson, Qing-yu Shi, Hugh R Shercliff, Heat Flow into Friction Stir Welding Tools, Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ, UK. [45] J.Adamowkhi, M.Szkoda, Friction Stir Welds [FSW] of Aluminum Alloy AW6082-T6, Journal of Achievements in Materials and Manufacturing Engineering, Vol. 20, 2007; pp [46] Rajiv S. Mishra, M.W. Mahoney, Friction Stir Welding and Processing DOI: /fswp, 2007; pp [47] W. Tang, X. Guo, J.C. McClure, L.E. Murr, A. Nunes, Heat Input and Temperature Distribution in Friction Stir Welding, Journal of Materials Processing and Manufacturing Science, 1988; pp [48] P.A.Colegrove, H.R. Shercliff Journal of Material Processes Technology 169, 2005; pp [49] ASM Metals Hand Book Properties and Selection, Irons, Steels and High Performance alloys, volume 1, Tenth Edition. [50] G.Padmanaban, V.Balasubrmanian Selection of Friction Stir Welding tool pin profile, shoulder diameter & materials for joining AZ31B
9 146 Mg alloy- An experimental approach, Materials & Design, 2009; pp [51] JH Ouyang, Kovacevic R. Material Flow during friction stir welding of the same and dissimilar aluminum alloys, Journal of Materials Engineering, 2002; pp [52] Fowlkes W.Y and Creveling C. M Engineering Methods for Robust Product Design, Addison-Wesley, [53] S. Malinov Sha Application of Artificial Neural Networks for Modeling Correlations in Titanium Alloys, Materials Science and Engineering A365, 2004; pp [54] K. Kumar, Sathish V.Kailas, The Role of Friction Stir Welding Tool on Material Flow and Weld Formation, Materials Science & Engineering, 2007; pp [55] K. Friedrich, Z. Zhang Artificial neural networks applied to polymer composites, Composites Science and Technology, 63, 2003; pp [56] M.Skinner, R.L. Edwards Improvements to the FSW Process using the Self Reacting Technology, Materials Science Forum, Vols , 2003; pp [57] Martin Josef Greitmann, Peter Diemel Friction Stir Welding Innovative Technology for Joining Aluminum Components
10 147 [58] Won Bae Lee, Mechanical properties related to micro structural variation of 6061 aluminum alloy joints by friction stir welding, Mater Trans, 45 (5), 2004; pp [59] H.J. Liu, L.Zhou, P. Liu and H. Fujii Friction Stir Welding of Thermo Hydrogen Processed Titanium Alloys, 7 th International Symposium on Friction Stir Welding, Awaji Island, 2008; pp [60] Friction Stir Welding; Titanium Alloy; Thermo hydrogen Processing; Micro structural Characterization; Mechanical Properties,handbook. [61] Y.H. Wei, H.K.D.H Bhadeshia and T. Sourmail Modeling mechanical properties of welds in plates of commercial titanium alloys, 2005; pp [62] K. Elangovan, V. Balasubramanian, S.Babu Predicting tensile strength of friction stir welded AA6061 aluminum alloy joints by a mathematical model, Materials and Design, 30, 2009, pp [63] C.E.D. Rowe., Eur.lng. Wayne Thomas Advances in Tooling Materials for Friction Stir Welding. [64] Text book: Design and Analysis of Experiments: Douglas C. Montgomery. [65] Li Y., Murr L.E., Brown D. and McClure J.C., Flow visualization and residual micro structures associated with the friction stir welding of 2024
11 148 aluminum to 6061 aluminum, Materials Science and Engineering, A271, 1998; pp [66] R. Nandan, T. DebRoy and H.K.D.H. Bhadeshia Recent Advances in Friction Stir Welding Process Weldment Structure and Properties, Progress in Materials Science, 53, 2008; pp
In this work it is aimed to study the research work related to the. Friction Stir Welding by different researchers and to propose optimal
16 CHAPTER II LITERATURE REVIEW In this work it is aimed to study the research work related to the Friction Stir Welding by different researchers and to propose optimal parameters which affect the efficiency
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