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Study on anti-wear property of 3D printed-tools in friction stir welding by numerical and physical experiments

  • Jian LuoEmail author
  • Hong Wang
  • Wei Chen
  • Longfei Li
ORIGINAL ARTICLE

Abstract

Friction wear is a key factor influencing the life of friction stir welding (FSW) tools. One of the challenging problems in the field of FSW is improving anti-wear properties and extending the service life of tools. Based on Archard theory, a rigid-plastic mathematical-physical model describing the friction wear behavior of the tool during FSW process was established. The friction wear behavior and surface features of the tool during plunging and welding stage were studied by numerical and physical experiments. The effects of welding parameters and geometrical features of the tool on friction wear behavior were analyzed. 7075 aluminum alloy was chosen as the welding material and the tool was designed and manufactured by 3D printing. These numerical and physical experiments were compared. The results show that the tool fabricated from turning consisted of tempered martensite, while the tool produced from selective laser melting showed layers of banded structure with inhomogeneous directions. The average microhardness of the latter was higher than that of the former. The wear loss of the FSW tool during plunge stage increases with the increasing of the rotation speed and plunge speed. Meanwhile, the wear depth of the tool increases with raising the rotation speed at a constant welding speed. The weight of FSW tool decreases with increasing welding distance. The microstructure of the stir made by the selective laser melting is beneficial to improve the anti-wear property. The manufacturing process method can affect the tool’s lifetime seriously with the same material used. The simulation results are shown to be in good agreement with experimental data. The study also provides theoretical and practical guidance for predicting the wear of FSW tools.

Keywords

Friction stir welding 3D print manufacturing Tool Wear property Processing parameter Simulation and experiment 

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References

  1. 1.
    Rai R, De A, Bhadeshia HKDH, Debroy T (2011) Review: friction stir welding tools. Sci Technol Weld Join 16:325–342CrossRefGoogle Scholar
  2. 2.
    Kumar K, Satish VK (2008) The role of friction stir welding tool on material flow and weld formation. Mater Sci Eng A 485:367–374CrossRefGoogle Scholar
  3. 3.
    Tutunchilar S, Haghpanahi M, Bseharatigivi MK, Asadi P, Bahemmat P (2012) Simulation of material flow in friction stir processing of a cast Al-Si alloy. Mater Des 10:415–426CrossRefGoogle Scholar
  4. 4.
    Chowdhury SM, Chen DL, Bhole SD, Cao X (2010) Tensile properties of a friction stir welded magnesium alloy: effect of pin tool thread orientation and weld pitch. Mater Sci Eng A 527:6064–6075CrossRefGoogle Scholar
  5. 5.
    Mehta M, Arora A, De A, Debroy T (2011) Tool geometry for friction stir welding-optimum shoulder diameter. Metall Mater Trans A 42A:2716–2722CrossRefGoogle Scholar
  6. 6.
    Venkatesearlu D, Mandal NR, Mahapatra MM, Harsh SP (2013) Tool design effects for FSW of AA7039. Weld J 92:41s–47sGoogle Scholar
  7. 7.
    Buffa G, Campanella D, Fratini L (2012) On tool stirring action in friction stir welding of work hardenable aluminum alloys. Sci Technol Weld Join 18:161–168CrossRefGoogle Scholar
  8. 8.
    Sato YS, Muraguchi M, Kokawa H (2011) Tool wear and reactions in 304 stainless steel during friction stir welding. Mater Sci Forum 675–677:731–734CrossRefGoogle Scholar
  9. 9.
    Park SHC, Yutaka SS, Hiroyuki K, Kazutaka O, Satoshi H, Masahisa I (2009) Boride formation induced by PCBN tool wear in friction-stir-welded stainless steels. Metall Mater Trans A 40A:625–636CrossRefGoogle Scholar
  10. 10.
    Zeng WM, Wu HL, Zhang J (2006) Effect of tool wear on microstructure, mechanical properties and acoustic emission of friction stir welded 6061 Al alloy. Acta Metall Sin 19:9–19CrossRefGoogle Scholar
  11. 11.
    Farias A, Batalha GF, Prados EF, Magnabosco R, Delijaicov S (2013) Tool wear evaluations in friction stir processing of commercial titanium Ti–6Al–4V. Wear 302:1327–1333CrossRefGoogle Scholar
  12. 12.
    Siddiquee AN, Pandey S (2014) Experimental investigation on deformation and wear of WC tool during friction stir welding (FSW) of stainless steel. Int J Adv Manuf Technol 73:479–486CrossRefGoogle Scholar
  13. 13.
    Prater T, Strauss AM, Cook GE, Machemehl C, Sutton P, Cox CD (2010) Statistical modeling and prediction of wear in friction stir welding of a metal matrix composite (Al359/SiC/20P). J Manuf Technol Res 2:1–13Google Scholar
  14. 14.
    Prater TJ, Strauss AM, Cook GE, Gibson BT, Cox CD (2013) A phenomenological model for tool wear in friction stir welding of metal matrix composites. Metall Mater Trans A 44:3757–3764CrossRefGoogle Scholar
  15. 15.
    Liu HJ, Feng JC, Fujii H, Nogi K (2005) Wear characteristics of a WC–Co tool in friction stir welding of AC4A + 30 vol%SiCp composite. Int J Mach Tools Manuf 45:1635–1639CrossRefGoogle Scholar
  16. 16.
    Prado RA, Murr LE, Shindo DJ, Soto KF (2001) Tool wear in the friction-stir welding of aluminum alloy 6061 + 20 % Al2O3: a preliminary study. Scripta Mater 45:75–80CrossRefGoogle Scholar
  17. 17.
    Prater T, Strauss A, Cook G, Gibson B, Cox C (2013) A comparative evaluation of the wear resistance of various tool materials in friction stir welding of metal matrix composites. J Mater Eng Perform 22:1807–1813CrossRefGoogle Scholar
  18. 18.
    Prater T (2014) Friction stir welding of metal matrix composites for use in aerospace structures. Acta Astronaut 93:366–373CrossRefGoogle Scholar
  19. 19.
    Gibson B, Cook G, Prater T, Longhurst W, Strauss AM, Cox CD (2013) Adaptive torque control of friction stir welding for the purpose of estimating tool wear. P I Mech Eng B-J Eng 225:1293–1303Google Scholar
  20. 20.
    Mandal S, Rice J, Hou G, Williamson KM, Elmustafa AA (2013) Modeling and simulation of a donor material concept to reduce tool wear in friction stir welding of high-strength materials. J Mater Eng Perform 6:1558–1564CrossRefGoogle Scholar
  21. 21.
    Mandal S, Rice J, Elmustafa AA (2008) Experimental and numerical investigation of the plunge stage in friction stir welding. J Mater Process Technol 23:411–419CrossRefGoogle Scholar
  22. 22.
    Hamilton R, Mac KD, Li HJ (2010) Multi-physics simulation of friction stir welding process. Eng Comput 27:967–985CrossRefzbMATHGoogle Scholar
  23. 23.
    Shen XJ, Cao L, Li RY (2010) Numerical simulation of sliding wear based on Archard model. 2010 Int Conf Mech Autom Control Eng, pp 325–329Google Scholar
  24. 24.
    Cooper DE, Stanford M, Kibble KA, Gibbons GJ (2012) Additive manufacturing for product improvement at red bull technology. Mater Des 41:226–230CrossRefGoogle Scholar
  25. 25.
    Delgado J, Ciurana J, Rodríguez CA (2012) Influence of process parameters on part quality and mechanical properties for DMLS and SLM with iron-based materials. Int J Adv Manuf Technol 60:601–610CrossRefGoogle Scholar
  26. 26.
    Hu HJ, Huang WJ (2013) Studies on wears of ultrafine-grained ceramic tool and common ceramic tool during hard turning using Archard wear model. Int J Adv Manuf Technol 69:31–39CrossRefGoogle Scholar
  27. 27.
    Rezaei A, Paepegem WV, Baets PD, Ost W, Degrieck J (2013) Adaptive finite element simulation of wear evolution in radial sliding bearings. Wear 296:660–671CrossRefGoogle Scholar
  28. 28.
    Groche P, Moeller N, Hoffmann H, Suh J (2011) Influence of gliding speed and contact pressure on the wear of forming tools. Wear 271:2570–2578CrossRefGoogle Scholar
  29. 29.
    Andersson J, Almqvist A, Larsson R (2011) Numerical simulation of a wear experiment. Wear 271:2947–2952CrossRefGoogle Scholar
  30. 30.
    Ivan A, Wilson T (2012) Asymptotic modeling of reciprocating sliding wear comparison with finite-element simulations. Eur J Mech A/Solid 34:1–11Google Scholar
  31. 31.
    Ke YL, Dong HY (2004) Pre-stretching process and its application in reducing residual stress of quenched 7075 aluminum alloy thick-plates. China J Nonferrous Metal 14:639–645Google Scholar
  32. 32.
    Yan H, Huab J, Shivpuri R (2005) Numerical simulation of finish hard turning for AISI H13 die steel. Sci Technol Adv Mater 6:540–547CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.State key laboratory of Mechanical TransmissionChongqing UniversityChongqingPeople’s Republic of China

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