Analysing significant process parameters for friction stir welding of polymer composite
- 32 Downloads
This research deals with the performance of friction stir welding (FSW) process and its application on composite material with the analysis of weld strength. The objective is to analyse the weld strength by optimising process parameters at different levels. The FSW is carried out at industrial grades by using locally available customised polycarbonate (PC) whereas the fibreglass (FG) is used as composite material in this research. The one-way analysis of variance (ANOVA) and Fisher’s least significant difference test are employed. The reason is to compare the mean shear strength of welds produced by FSW among different composition materials having composite material by weight, i.e. 5%, 10%, 15%, and 20%, with machine parameters, i.e. feed rate, rotation speed, and tool profile. The experiments suggested that PC with 15% FG produce highest mean strength under same process parameters and also exhibit the highest mean shear strength to base material. The materials have shown significant difference in their mean shear strength after analysis through Fisher’s LSD method. In the 2nd phase, Taguchi and ANOVA methods were applied to evaluate the effect of tool rotation, feed, and tool design on FSW using PC with 15% FG by weight. The Taguchi analysis using quality characteristic “Larger the Better” suggests that the rotation of tool is the most significant factor that affects the weld strength. The material produces better strength at high rotation speed of 1250 rpm and produces better strength at feed rate of 12 mm/s and tool type conical threaded pin design.
KeywordsWelding process Friction stir welding Polymer composite Taguchi Analysis Analysis of variance (ANOVA).
- 2.Thomas WM, Nicholas ED, Needham JC, Murch MG, Templesmith P, Dawes CJ. Friction Stir Butt Welding. Int. Patent App PCT/GB92/02203 and GB Patent App 9125978.8, December 1991. US patent no. 5,460,317, October 1995Google Scholar
- 6.Panaskar N, Terkar R (2016) Study of joining different types of polymers by friction stir welding. In CAD/CAM, robotics and factories of the future, Springer: New Dehli; pp. 731–739Google Scholar
- 10.Ahmadi H, Arab NBM, & Ghasemi FA (2012) Application of Taguchi method to optimize friction stir welding parameters for polypropylene composite lap joints. Arch Sci, 65(7)Google Scholar
- 13.Vagh A, Pandya S (2012) Influence of process parameters on the mechanical properties of friction stir welded AA 2014-T6 Alloy using Taguchi orthogonal array. Int J Eng Sci Emerging Technol 2:51–58Google Scholar
- 16.Akinlabi ET, Akinlabi SA (2012) Friction stir welding process: a green technology. World Acad Sci Eng Technol 71:1536–1538Google Scholar
- 20.Anil Kumar KS, Karur AS, Chipli S, Singh A (2015) Optimization of FSW parameters to improve the mechanical properties of AA2024-T351 similar joints using Taguchi method. J Mech Eng Auto 5:27–32Google Scholar
- 28.Mostafapour A, Azarsa E (2012) A study on the role of processing parameters in joining polyethylene sheets via heat assisted friction stir welding: Investigating microstructure, tensile and flexural properties. Int J Phys Sci 7:647–654Google Scholar
- 31.Taguchijeve U, FSW V-TP (2010) Application of grey relation analysis (GRA) and Taguchi method for the parametric optimization of friction stir welding (FSW) process. Mater Tehnol 44:205Google Scholar
- 34.Krishnaiah K, Shahabudeen P (2012) Applied design of experi- ments and Taguchi methods; PHI learning Pvt. ltd., eastern economy edition, New Delhi-110001Google Scholar
- 35.Alo F, Atanda P, Daniyan A, Abodunrin O, Oluwasegun K (2017) An Assessment of imported and local constructional steel in Nigeria: analysis by one-way ANOVA. Int J Mater Eng 7:45–51Google Scholar