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A vision-based method for dimensional in situ measurement of cooling holes in aero-engines during laser beam drilling process

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Abstract

Uncertainty dimensions of geometrical features in film cooling holes will inevitably affect the aerothermal behavior and mechanical characteristics of the engine. To realize the measurement of key parameters of film cooling holes, this article introduces a vision-based method for dimensional in situ measurement of the holes in aero-engines during the laser beam drilling process. In the measurement process, images of the holes can be acquired through the equipped camera in the laser drilling machine. Specifically, dual-tree complex wavelet transform is applied to eliminate the overwhelming interfering noise and preserves the necessary edge information; a local Gini index-based method is proposed to extract the edge information from the complex texture contained in the workpiece surface. Furthermore, the least square approach is employed for dimension measurement. Besides, a nickel-based wafer drilling experiment is presented on a femtosecond five-axis laser drilling machine. Compared with the off-line vision method, the experiment results indicate the calculated mean absolute errors of the diameter and the roundness of the proposed method are evaluated to be 0.00005 mm and 0.01113 mm respectively. This study, therefore, paves the way for in situ measurement of film cooling holes in aero-engines without any additional measuring instrument during the laser drilling process.

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References

  1. Kumar S, Singh O (2013) Effect of coolant injection angle and cooling hole dimensions on transpiration cooled gas turbine cycle performance. J Energy Inst 86(3):140–146. https://doi.org/10.1179/1743967112Z.00000000054

    Article  Google Scholar 

  2. Yoshida T (2008) Turbine (Heat Transfer). J Gas Turb Soc Jpn 36(2):78–83 (in Japanese)

    Google Scholar 

  3. Dong Y, Li X, Zhao Q, Li X, Dou Y (2017) Geometrical modeling to improve the accuracy of drilled cooling holes on turbine blades. Int J Adv Manuf Technol 93:4409–4428. https://doi.org/10.1007/s00170-017-0818-8

    Article  Google Scholar 

  4. Zhao Y, Zeng F, Li Y, Gan M, Shi S (2020) A light-field imaging based film cooling hole 3D measurement technique. Acta Aeronautica et Astronautica Sinica (in Press) (in Chinese) https://doi.org/10.7527/S1000-6893.2020.24158

  5. Marimuthu S, Smith B (2021) Water-jet guided laser drilling of thermal barrier coated aerospace alloy. Int J Adv Manuf Technol 113:177–191. https://doi.org/10.1007/s00170-020-06584-0

    Article  Google Scholar 

  6. Zhang Z, Wang W, Jiang R, Zhang X, Xiong Y, Mao Z (2020) Investigation on geometric precision and surface quality of microholes machined by ultrafast laser. Opt Laser Technol 121:105834. https://doi.org/10.1016/j.optlastec.2019.105834

    Article  Google Scholar 

  7. Muthuramalingam T, Akash R, Krishnan S, Phan NH, Pi VN, Elsheikh AH (2021) Surface quality measures analysis and optimization on machining titanium alloy using CO2 based laser beam drilling process. J Manuf Process 62:1–6. https://doi.org/10.1016/j.jmapro.2020.12.008

    Article  Google Scholar 

  8. Xia K, Wang H, Ren N, Ren X, Liu D, Shi C, Li T, Tian J (2021) Laser drilling in nickel super-alloy sheets with and without ultrasonic assistance characterized by transient in-process detection with indirect characterization after hole-drilling. Opt Laser Technol 134:2021. https://doi.org/10.1016/j.optlastec.2020.106559

  9. He C, Bühringa J, Gillner A (2018) Helical drilling of three-dimensional conical converging-diverging nozzle in steel using ultrashort laser pulses. Procedia CIRP 74:305–309. https://doi.org/10.1016/j.procir.2018.08.120

    Article  Google Scholar 

  10. Shetty D, Eppes T, Campana C, Filburn T, Nazaryan N (2009) New approach to the inspection of cooling holes in aero-engines. Opt Lasers Eng 47(6):686–694. https://doi.org/10.1016/j.optlaseng.2008.12.001

    Article  Google Scholar 

  11. Zhao W, Shen X, Liu H, Wang L, Jiang H (2020) Effect of high repetition rate on dimension and morphology of micro-hole drilled in metals by picosecond ultra-short pulse laser. Opt Lasers Eng 124:105811. https://doi.org/10.1016/j.optlaseng.2019.105811

    Article  Google Scholar 

  12. Wang H, Zhang F, Ding K, Duan J (2021) Non-diffraction-length Bessel-beam femtosecond laser drilling of high-aspect-ratio microholes in PMMA. Optik 229:166295. https://doi.org/10.1016/j.ijleo.2021.166295

    Article  Google Scholar 

  13. Cui J, Feng K, Hu Y, Li J, Tan J (2014) A twin fiber bragg grating probe for the dimensional measurement of microholes. IEEE Photonics Technol Lett 26(17):1778–1781. https://doi.org/10.1109/LPT.2014.2336238

    Article  Google Scholar 

  14. Feng K, Cui J, Zhao S, Li J, Tan J (2016) A twin FBG probe and integration with a microhole-measuring machine for the measurement of microholes of high aspect ratios. IEEE ASME Trans Mechatron 21(3):1242–1251. https://doi.org/10.1109/TMECH.2016.2530143

    Article  Google Scholar 

  15. Cui J, Feng K, Zhu S, Zhang Y, Tan J (2014) Subpixel edge location method proposed to improve the performance of optical fiber spherical coupling probe during dimensional measurement of micro-cavities with high aspect ratio. Measurement 47:707–714. https://doi.org/10.1016/j.measurement.2013.10.004

    Article  Google Scholar 

  16. Ma Y, Yu Y, Wang X (2014) Diameter measuring technique based on capacitive probe for deep hole or oblique hole monitoring. Measurement 47:42–44. https://doi.org/10.1016/j.measurement.2013.08.035

    Article  Google Scholar 

  17. Li X, Wang Z, Fu L (2017) A high-speed in situ measuring method for inner dimension inspection. IEEE Trans Instrum Meas 66(1):104–112. https://doi.org/10.1109/TIM.2016.2614746

    Article  Google Scholar 

  18. Sun W, Cao X, Chen B, Zhou Y, Shen Z, Xiang J (2020) A two-stage vision-based method for measuring the key parameters of ball screws. Precis Eng 66:76–86. https://doi.org/10.1016/j.precisioneng.2020.07.006

    Article  Google Scholar 

  19. Ma Y, Ma L, Zheng Y (2017) The measurement techniques for angular 3-D pinholes based on capacitive probe. Measurement 97:145–148. https://doi.org/10.1016/j.measurement.2016.10.052

    Article  Google Scholar 

  20. Wang C, Wang Y, Han Z, Wang J, Zou X (2018) A system for measuring borehole diametric deformation based on mechanical contact and micro-optical imaging. Measurement 130:191–197. https://doi.org/10.1016/j.measurement.2018.07.088

    Article  Google Scholar 

  21. Bi C, Hao X, Liu M, Fang J (2020) Design and establishment of the machine vision measuring system for film cooling holes. Acta Metrologica Sinica 41(7):775–780 (in Chinese) https://doi.org/10.3969/j.issn.1000-1158.2020.07.02

  22. Bao C, Wang L, Li K, Min L, Geng C (2017) Research on rapid detection technology of gas film hole based on CCD. Aviation Precis Manuf Technol 53(2):52–59 (in Chinese)

    Google Scholar 

  23. Sun W, Yao B, Chen B, He Y, Cao X, Zhou T, Liu H (2018) Noncontact surface roughness estimation using 2d complex wavelet enhanced resnet for intelligent evaluation of milled metal surface quality. Appl Sci-Basel 8(3):381. https://doi.org/10.3390/app8030381

    Article  Google Scholar 

  24. Sun W, Chen B, Yao B, Cao X, Feng W (2017) Complex wavelet enhanced shape from shading transform for estimating surface roughness of milled mechanical components. J Mech Sci Technol 21(2):823–833. https://doi.org/10.1007/s12206-017-0134-0

    Article  Google Scholar 

  25. Wang L, Liu Z, Cao H, Zhang X (2020) Subband averaging kurtogram with dual-tree complex wavelet packet transform for rotating machinery fault diagnosis. Mech Syst Signal Process 142:106755. https://doi.org/10.1016/j.ymssp.2020.106755

    Article  Google Scholar 

  26. Sun W, Yao B, Zeng N, Chen B, He Y, Cao X, He W (2017) An intelligent gear fault diagnosis methodology using a complex wavelet enhanced convolutional neural network. Materials 10(7):790. https://doi.org/10.3390/ma10070790

    Article  Google Scholar 

  27. Lu Y, Xie R, Liang SY (2019) Extraction of weak fault using combined dual-tree wavelet and improved MCA for rolling bearings. Int J Adv Manuf Technol 104:2389–2400. https://doi.org/10.1007/s00170-019-04065-7

    Article  Google Scholar 

  28. Chen B, Zhang Z, Zi Y, He Z (2014) Novel ensemble analytic discrete framelet expansion for machinery fault diagnosis. J Mech Eng 50(17):77–86 (in Chinese). https://doi.org/10.3901/JME.2014.17.077

  29. Renuka SV, Edla DR (2019) Adaptive shrinkage on dual-tree complex wavelet transform for denoising real-time MR images. Biocybern Biomed Eng 39(1):133–147. https://doi.org/10.1016/j.bbe.2018.11.003

    Article  Google Scholar 

  30. Guo L, Cao X, Liu L (2020) Dual-tree biquaternion wavelet transform and its application to color image fusion. Signal Process 171:107513. https://doi.org/10.1016/j.sigpro.2020.107513

    Article  Google Scholar 

  31. Furman E, Kye Y, Su J (2019) Computing the Gini index: A note. Econ Lett 185:108753. https://doi.org/10.1016/j.econlet.2019.108753

    Article  MathSciNet  MATH  Google Scholar 

  32. Sun W, Zhou Y, Xiang J, Chen B, Feng W (2021) Hankel matrix-based condition monitoring of rolling element bearings: an enhanced framework for time-series analysis. IEEE Trans Instrum Meas 70:3512310. https://doi.org/10.1109/TIM.2021.3062194

    Article  Google Scholar 

  33. Amarouayache IIE, Saadi MN, Guersi N, Boutasseta N (2020) Bearing fault diagnostics using EEMD processing and convolutional neural network methods. Int J Adv Manuf Technol 107:4077–4095. https://doi.org/10.1007/s00170-020-05315-9

    Article  Google Scholar 

  34. Sun W, Zhou Y, Cao X, Chen B, Feng W, Chen L (2021) A two-stage method for bearing fault detection using graph similarity evaluation. Measurement 165:108138. https://doi.org/10.1016/j.measurement.2020.108138

    Article  Google Scholar 

  35. Hurley N, Rickard S (2009) Comparing measures of sparsity. IEEE Trans Inf Theory 55(10):4723–4741. https://doi.org/10.1109/TIT.2009.2027527

    Article  MathSciNet  MATH  Google Scholar 

  36. Shen Z, Yao B, Teng W, Feng W, Sun W (2016) Generating grinding profile between screw rotor and forming tool by digital graphic scanning (DGS) method. Int J Precis Eng Man 17:35–41. https://doi.org/10.1007/s12541-016-0005-0

    Article  Google Scholar 

  37. Shao Q, Lyn N, Yuan J, Wang X, Ke M, Zhao P (2021) Shear thickening polishing of the concave surface of high-temperature nickel-based alloy turbine blade. J Mater Res Technol 11:72–84. https://doi.org/10.1016/j.jmrt.2020.12.112

    Article  Google Scholar 

Download references

Funding

This work was supported in part by the Laser Manufacturing and Additive Manufacturing Project of the National Key Research and Development Program of China (2018YFB1108000), in part by the Wenzhou Municipal Key Science and Research Program (ZG2019031), and in part by the Zhejiang Provincial Natural Science Foundation of China under Grant LQ21E050003.

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Correspondence to Weifang Sun or Fengping Li.

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Sun, W., Yi, J., Ma, G. et al. A vision-based method for dimensional in situ measurement of cooling holes in aero-engines during laser beam drilling process. Int J Adv Manuf Technol 119, 3265–3277 (2022). https://doi.org/10.1007/s00170-021-08463-8

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