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An efficient approach to improving the finishing properties of abrasive flow machining with the analyses of initial surface texture of workpiece

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Abstract

Abrasive flow machining (AFM) is a non-traditional finishing process by using the semi-solid abrasive media as a finishing tool, and usually applied to finish fine, complex components in manufacturing industries. In AFM process, the final surface quality and finishing efficiency are crucial finishing properties which have drawn wide attention and are always affected by initial surface texture of the workpiece. In the present research, the flow direction of abrasive media is determined according to the calculation of surface anisotropy ratio Str and texture direction Std of the initial surface texture by using the autocorrelation function, and selection of particle size is given after calculation of the spatial frequency of the initial surface texture using a fast Fourier transform. It was found that the flow direction of abrasive media should be perpendicular to the oriented surface texture, and the particle size in abrasive media has a strong relationship to the first harmonic frequency f1 of surface texture. Finally, the above approach was employed to the surface finish analysis of an aero-engine blade, and its efficiency was verified in the improvement of finishing properties.

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References

  1. Fu YZ, Gao H, Wang XP, Guo DM (2017) Machining the integral impeller and blisk of aero-engines: a review of surface finishing and strengthening technologies. Chin J Mech Eng 30(3):528–543. https://doi.org/10.1007/s10033-017-0123-3

    Article  Google Scholar 

  2. Wan S, Liu YC, Woon KS (2016) A simple general process model for vibratory finishing. Int J Adv Manuf Technol 86(9–12):2393–2400. https://doi.org/10.1007/s00170-016-8379-9

    Article  Google Scholar 

  3. Huai WB, Tang H, Shi YY, Lin XJ (2017) Prediction of surface roughness ratio of polishing blade of abrasive cloth wheel and optimization of processing parameters. Int J Adv Manuf Technol 90(1–4):699–708. https://doi.org/10.1007/s00170-016-9397-3

    Article  Google Scholar 

  4. Liu WD, Ao SS, Li Y, Zhao CF, Luo Z, Li Q, Luo T (2016) Elimination of the over cut from a repaired turbine blade tip post-machined by electrochemical machining. J Mater Process Technol 231:27–37. https://doi.org/10.1016/j.jmatprotec.2015.12.003

    Article  Google Scholar 

  5. Tan DP, Ji SM, Fu YZ (2016) An improved soft abrasive flow finishing method based on fluid collision theory. Int J Adv Manuf Technol 85(5–8):1261–1274. https://doi.org/10.1007/s00170-015-8044-8

    Article  Google Scholar 

  6. Qi H, Wen DH, Yuan QL, Zhang L, Chen ZZ (2017) Numerical investigation on particle impact erosion in ultrasonic-assisted abrasive slurry jet micro-machining of glasses. Powder Technol 314:627–634. https://doi.org/10.1016/j.powtec.2016.08.057

    Article  Google Scholar 

  7. Fu YZ, Gao H, Yan QS, Wang XP (2019) A new predictive method of the finished surface profile in abrasive flow machining process. Precis Eng 60:497–505. https://doi.org/10.1016/j.precisioneng.2019.08.011

    Article  Google Scholar 

  8. Duval-Chaneac MS, Han S, Claudin C, Salvatore F, Bajolet J, Rech J (2018) Experimental study on finishing of internal laser melting (SLM) surface with abrasive flow machining (AFM). Precis Eng 54:1–6. https://doi.org/10.1016/j.precisioneng.2018.03.006

    Article  Google Scholar 

  9. Jain VK, Jayswal SC, Dixit PM (2007) Modeling and simulation of surface roughness in magnetic abrasive finishing using non-uniform surface profiles. Mater Manuf Process 22(2):256–270. https://doi.org/10.1080/10426910601134096

    Article  Google Scholar 

  10. Jain VK, Adsul SG (2000) Experimental investigations into abrasive flow machining (AFM). Int J Mach Tools Manuf 40(7):1003–1021. https://doi.org/10.1016/S0890-6955(99)00114-5

    Article  Google Scholar 

  11. Mali HS, Manna A (2012) Simulation of surface generated during abrasive flow finishing of Al/SiCp-MMC using neural networks. Int J Adv Manuf Technol 61(9–12):1263–1268. https://doi.org/10.1007/s00170-012-4091-6

    Article  Google Scholar 

  12. Howard M, Cheng K (2013) An industrially feasible approach to process optimisation of abrasive flow machining and its implementation perspectives. Proc Inst Mech Eng Part B: J Eng Manuf 227(11):1748–1752. https://doi.org/10.1177/0954405413491957

    Article  Google Scholar 

  13. Fu YZ, Wang XP, Gao H, Wei HB, Li SC (2016) Blade surface uniformity of blisk finished by abrasive flow machining. Int J Adv Manuf Technol 84(5–8):1725–1735. https://doi.org/10.1007/s00170-015-8270-0

    Article  Google Scholar 

  14. Gorana VK, Jain VK, Lal GK (2006) Prediction of surface roughness during abrasive flow machining. Int J Adv Manuf Technol 31(3–4):258–267. https://doi.org/10.1007/s00170-005-0197-4

    Article  Google Scholar 

  15. Singh S, Kumar D, Sankar MR, Jain VK (2019) Viscoelastic medium modeling and surface roughness simulation of microholes finished by abrasive flow finishing process. Int J Adv Manuf Technol 100(5–8):1165–1182. https://doi.org/10.1007/s00170-018-1912-2

    Article  Google Scholar 

  16. Uhlmann E, Schmiedel C, Wendler J (2015) CFD simulation of the abrasive flow machining process. Procedia CIRP 31:209–214. https://doi.org/10.1016/j.procir.2015.03.091

    Article  Google Scholar 

  17. Howard M, Cheng K (2014) An integrated systematic investigation of the process variables on surface generation in abrasive flow machining of titanium alloy 6Al4V. Proc Inst Mech Eng Part B: J Eng Manuf 228(11):1419–1431. https://doi.org/10.1177/0954405414522210

    Article  Google Scholar 

  18. Zhang L, Yuan ZM, Qi ZJ, Cai DH, Cheng ZC, Qi H (2018) CFD-based study of the abrasive flow characteristics within constrained flow passage in polishing of complex titanium alloy surfaces. Powder Technol 333:209–218. https://doi.org/10.1016/j.powtec.2018.04.046

    Article  Google Scholar 

  19. Wei HB, Gao H, Wang XY (2019) Development of novel guar gum hydrogel based media for abrasive flow machining: shear-thickening behavior and finishing performance. Int J Mech Sci 157:758–772. https://doi.org/10.1016/j.ijmecsci.2019.05.022

    Article  Google Scholar 

  20. Loveless TR, Williams RE, Rajurkar KP (1994) A study of the effects of abrasive-flow finishing on various machined surfaces. J Mater Process Technol 47(1):133–151. https://doi.org/10.1016/0924-0136(94)90091-4

    Article  Google Scholar 

  21. Williams RE, Melton VL (1998) Abrasive flow finishing of stereolithography prototypes. Rapid Prototyp J 4(2):56–67. https://doi.org/10.1108/13552549810207279

    Article  Google Scholar 

  22. Bouland C, Urlea V, Beaubier K, Samoilenko M, Brailovski V (2019) Abrasive flow machining of laser powder bed-fused parts: numerical modeling and experimental validation. J Mater Process Technol 273:116262. https://doi.org/10.1016/j.jmatprotec.2019.116262

    Article  Google Scholar 

  23. Petare AC, Mishra A, Palani IA, Jain NK (2019) Study of laser texturing assisted abrasive flow finishing for enhancing surface quality and microgeometry of spur gears. Int J Adv Manuf Technol 101(1–4):785–799. https://doi.org/10.1007/s00170-018-2944-3

    Article  Google Scholar 

  24. Ghadikolaei AD, Vahdati M (2015) Experimental study on the effect of finishing parameters on surface roughness in magneto-rheological abrasive flow finishing process. Proc Inst Mech Eng Part B: J Eng Manuf 229(9):1517–1524. https://doi.org/10.1177/0954405414539488

    Article  Google Scholar 

  25. Yamaguchi H, Shinmura T (1999) Study of the surface modification resulting from an internal magnetic abrasive finishing process. Wear 225:246–255. https://doi.org/10.1016/S0043-1648(99)00013-7

    Article  Google Scholar 

  26. Chen YP, Zhang CB, Shi MH, Peterson GP (2009) Role of surface roughness characterized by fractal geometry on laminar flow in microchannels. Phys Rev E 80(2):026301. https://doi.org/10.1103/PhysRevE.80.026301

    Article  Google Scholar 

  27. (2012) Geometrical product specifications (GPS) -surface texture: areal-part 2: terms, definitions and surface texture parameters. ISO 25178-2. Geneva: International Organization for Standardization

  28. Rudzitis J, Bulaha N, Lungevics J, Linins O, Berzins K (2017) Theoretical analysis of spacing parameters of anisotropic 3D surface roughness. Latv J Phys Tech Sci 54(2):55–63. https://doi.org/10.1515/lpts-2017-0013

    Article  Google Scholar 

  29. Dong WP, Sullivan PJ, Stout KJ (1994) Comprehensive study of parameters for characterising three-dimensional surface topography: IV: parameters for characterising spatial and hybrid properties. Wear 178(1–2):45–60. https://doi.org/10.1016/0043-1648(94)90128-7

    Article  Google Scholar 

  30. Wolski M, Podsiadlo P, Stachowiak G (2016) Characterization of surface topography from small images. Tribol Lett 61(1):1–14. https://doi.org/10.1007/s11249-015-0627-x

    Article  Google Scholar 

  31. Dong WP, Stout KJ (1995) Two-dimensional fast Fourier transform and power spectrum for surface roughness in three dimensions. Proc Inst Mech Eng Part B: J Eng Manuf 209(5):381–391. https://doi.org/10.1243/PIME_PROC_1995_209_097_02

    Article  Google Scholar 

  32. Wu N, Wang Q (2011) Experimental studies on damage detection of beam structures with wavelet transform. Int J Eng Sci 49(3):253–261. https://doi.org/10.1016/j.ijengsci.2010.12.004

    Article  Google Scholar 

  33. Elson JM, Bennett JM (1995) Calculation of the power spectral density from surface profile data. Appl Opt 34(1):201–208. https://doi.org/10.1364/AO.34.000201

    Article  Google Scholar 

  34. Zhang QL, To S, Zhao QL, Guo B, Wu MT (2016) Effects of binder addition on the surface generation mechanism of WC/Co during high spindle speed grinding (HSSG). Int J Refract Met Hard Mater 59:32–39. https://doi.org/10.1016/j.ijrmhm.2016.05.005

    Article  Google Scholar 

  35. Sankar MR, Jain VK, Ramkumar J (2010) Rotational abrasive flow finishing (R-AFF) process and its effects on finished surface topography. Int J Mach Tools Manuf 50(7):637–650. https://doi.org/10.1016/j.ijmachtools.2010.03.007

    Article  Google Scholar 

  36. Sooraj VS, Radhakrishnan V (2014) Fine finishing of internal surfaces using elastic abrasives. Int J Mach Tools Manuf 78:30–40. https://doi.org/10.1016/j.ijmachtools.2014.01.001

    Article  Google Scholar 

Download references

Acknowledgments

The authors appreciate the anonymous reviewers for their constructive comments and suggestions.

Funding

This work was supported by the Guangdong Basic and Applied Basic Research Foundation (Grant No. 2019A1515010720), NSFC-Guangdong Joint Fund Project (Grant No. U1801259), Creative Research Groups of NSFC (Grant No. 51621064), National Natural Science Foundation of China (Grant No. U1708256), and Fundamental Research Funds for the Central Universities (Grant Nos. DUT17ZD201, DUT18GF104).

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Correspondence to Youzhi Fu or Hang Gao.

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Fu, Y., Gao, H., Yan, Q. et al. An efficient approach to improving the finishing properties of abrasive flow machining with the analyses of initial surface texture of workpiece. Int J Adv Manuf Technol 107, 2417–2432 (2020). https://doi.org/10.1007/s00170-020-05173-5

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