Skip to main content
Log in

Hybrid fuzzy-grey-Taguchi based multi weld quality optimization of Al/Cu dissimilar friction stir welded joints

  • Published:
Advances in Manufacturing Aims and scope Submit manuscript

Abstract

Nowadays aluminum alloys substitute copper in various applications for weight reduction and cost savings. This paper presents fuzzy-grey Taguchi technique for optimization of friction stir welding condition with seven weld quality attributes of dissimilar Al/Cu joints with the minimum number of experiments for effective productivity and product quality. Taguchi’s L16 orthogonal array was used to conduct the experiments. Fuzzy inference system was adapted to convert the multi quality characteristics into an equivalent single quality parameter which was optimized by Taguchi approach. Four parameters namely, rotational speed of the tool, welding speed, plunging depth and tool pin offset were varied in four levels for investigating the effects on the process output like tensile strength, compressive strength, percentage of elongation, bending angle, weld bead thickness and average hardness at the nugget zone. The hardness profile is consistent with the variation of the structure within the nugget zone (NZ). Confirmation experiment was conducted using predicted optimum parameter setting and it showed that the proposed approach could efficiently optimize weld quality parameters. The microstructural analyses were also performed for all the zones of the joints at both Al and Cu sides. It revealed the finer grain size at the NZ compared to the base material due to dynamic recrystallization.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Al-Roubaiy AO, Nabat SM, Batako ADL (2014) Experimental and theoretical analyses of friction stir welding of Al to Cu joints. Int J Adv Manuf Technol 71:1631–1642

    Article  Google Scholar 

  2. Genevois C, Girard M, Huneau B et al (2011) Interfacial reaction during friction stir welding of Al and Cu. Min Met Mater Soc 42:2290–2295

    Google Scholar 

  3. Liu HJ, Shen JJ, Zhou L et al (2011) Microstructural characterisation and mechanical properties of friction stir welded joints of Al to Cu. Sci Technol Weld Join 16(1):92–99

    Article  Google Scholar 

  4. Thomas WM, Nicholas ED, Needham JC et al (1991) Friction stir welding. International Patent Application No. PCT/GB92/02203 and Great Britain Patent Application No. 9125978.8

  5. Vidal C, Infante V, Vilaca P (2010) Assessment of improvement techniques effect on fatigue behaviour of friction stir welded aerospace aluminium alloys. Proc Eng 2:1605–1616

    Article  Google Scholar 

  6. Sahu PK, Pal S (2015) Multi-response optimization of process parameters in friction stir welded AM20 magnesium alloy by Taguchi grey relational analysis. J Magnes Alloys 3:36–46

    Article  Google Scholar 

  7. Padmanaban G, Balasubramanian V, Sarin Sundar JK (2010) Influences of welding processes on microstructure, hardness, and tensile properties of AZ31B magnesium alloy. J Mater Eng Perform 19:155–165

    Article  Google Scholar 

  8. Fattah-alhosseini A, Taheri AH (2015) Effect of friction stir welding on corrosion behavior of pure copper in 3.5 wt% NaCl solution. J Manuf Process 20:98–103

    Article  Google Scholar 

  9. Lina J, Changa H, Wu M (2014) Comparison of mechanical properties of pure copper welded using friction stir welding and tungsten inert gas welding. J Manuf Process 16:296–304

    Article  Google Scholar 

  10. Baraka A, Panoutsos G, Cater S (2015) A real-time quality monitoring framework for steel friction stir welding using computational intelligence. J Manuf Process 20:137–148

    Article  Google Scholar 

  11. Seighalani KR, Givi MKB, Nasiri AM et al (2010) Investigations on the effects of the tool material, geometry, and tilt angle on friction stir welding of pure titanium. J Mater Eng Perform 19:955–962

    Article  Google Scholar 

  12. Sanders DG, Ramulu M, Klock-McCook EJ et al (2008) Characterization of super plastically formed friction stir weld in titanium 6 Al-4V: preliminary results. J Mater Eng Perform 17:187–192

    Article  Google Scholar 

  13. Uzun H (2007) Friction stir welding of SiC particulate reinforced AA2124 aluminium alloy matrix composite. Mater Des 28:1440–1446

    Article  Google Scholar 

  14. Leitao C, Emílio B, Chaparro BM et al (2009) Formability of similar and dissimilar friction stir welded AA 5182-H111and AA 6016-T4 tailored blanks. Mater Des 30:3235–3242

    Article  Google Scholar 

  15. Grujicic M, Arakere G, Yen CF et al (2011) Computational investigations of hardness evolution during friction stir welding of AA5083 and AA2139 aluminum alloys. J Mater Eng Perform 20:1097–1108

    Article  Google Scholar 

  16. Mofid MA, Abdollah-zadeh A, Ghaini FM (2012) The effects of water cooling during dissimilar friction stir welding of Al alloy to Mg alloy. Mater Des 36:161–167

    Article  Google Scholar 

  17. Movahedi M, Kokabi AH, Seyed-Reihani SM et al (2013) Effect of annealing treatment on joint strength of aluminum/steel friction stir lap weld. Mater Des 44:487–492

    Article  Google Scholar 

  18. Sahu PK, Pal S, Pal SK et al (2016) Influence of plate position, tool offset and tool rotational speed on mechanical properties and microstructures of dissimilar Al/Cu friction stir welding joints. J Mater Process Technol 235:55–67

    Article  Google Scholar 

  19. Bisadi H, Tavakoli A, Tour SM et al (2013) The influences of rotational and welding speeds on microstructures and mechanical properties of friction stir welded Al5083 and commercially pure copper sheets lap joints. Mater Des 43:80–88

    Article  Google Scholar 

  20. Akinlabi ET (2012) Effect of shoulder size on weld properties of dissimilar metal friction stir welds. J Mater Eng Perform 21:1514–1519

    Article  Google Scholar 

  21. Carlone P, Astarita A, Palazzo GS et al (2015) Microstructural aspects in Al-Cu dissimilar joining by FSW. Int J Adv Manuf Technol 79:1109–1116

    Article  Google Scholar 

  22. Vidal C, Infante V (2013) Optimization of FS welding parameters for improving mechanical behavior of AA2024-T351 joints based on Taguchi method. J Mater Eng Perform 22(8):2261–2270

    Google Scholar 

  23. Rao TB, Gopala Krishna A (2013) Simultaneous optimization of multiple performance characteristics in WEDM for machining ZC63/SiCp MMC. Adv Manuf 1:265–275

    Article  Google Scholar 

  24. Shojaeefard MH, Khalkhali A, Akbari M et al (2013) Application of Taguchi optimization technique in determining aluminum to brass friction stir welding parameters. Mater Des 52:587–592

    Article  Google Scholar 

  25. Taguchi G (1986) Introduction to quality engineering: designing quality into products and processes. Kraus International Publications, New York

    Google Scholar 

  26. Walia RS, Shan HS, Kumar P (2006) Multi-response optimization of CFAAFM process through taguchi method and utility concept. Mater Manuf Proc 21:907–914

    Article  Google Scholar 

  27. Pal S, Malviya S, Pal SK et al (2009) Optimization of quality characteristics parameters in a pulsed metal inert gas welding process using grey-based Taguchi method. Int J Adv Manuf Technol 44:1250–1260

    Article  Google Scholar 

  28. Karande P, Gauri SK, Chakraborty S (2013) Applications of utility concept and desirability function for materials selection. Mater Des 45:349–358

    Article  Google Scholar 

  29. Tiwary AP, Pradhan BB, Bhattacharyya B (2014) Application of multi-criteria decision making methods for selection of micro-EDM process parameters. Adv Manuf 2:251–258

    Article  Google Scholar 

  30. Julong D (1989) Introduction to grey system theory. J Grey Syst 1:1–24

    MathSciNet  MATH  Google Scholar 

  31. Datta S, Bandyopadhyay A, Pal PK (2008) Grey-based Taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding. Int J Adv Manuf Technol 39:1136–1143

    Article  Google Scholar 

  32. Kasman S (2013) Multi-response optimization using the Taguchi-based grey relational analysis: a case study for dissimilar friction stir butt welding of AA6082-T6/AA5754-H111. Int J Adv Manuf Technol 68:795–804

    Article  Google Scholar 

  33. Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  MathSciNet  MATH  Google Scholar 

  34. Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man-Machine Stud 7:1–13

    Article  MATH  Google Scholar 

Download references

Acknowledgement

This work is supported by Department of Mechanical Engineering, Indian Institute of Technology Guwahati.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sukhomay Pal.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sahu, P.K., Kumari, K., Pal, S. et al. Hybrid fuzzy-grey-Taguchi based multi weld quality optimization of Al/Cu dissimilar friction stir welded joints. Adv. Manuf. 4, 237–247 (2016). https://doi.org/10.1007/s40436-016-0151-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40436-016-0151-8

Keywords

Navigation