Laser & Optoelectronics Progress, Volume. 60, Issue 6, 0612002(2023)

Multiscale Image Fusion-Based Thermal Fatigue Damage Detection Method for Cylinder Head Inner Wall

Quanliang Li, Xiaoxia Wang*, and Fengbao Yang
Author Affiliations
  • School of Information and Communication Engineering, North University of China, Taiyuan 030051, Shanxi, China
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    Figures & Tables(12)
    Traditional association reconstruction principle
    Inner wall images reconstructed by traditional association imaging. (a) Images of original object; (b)-(d) reconstructed images when N=500, 1000, 3000, respectively
    Reconstructed images of cylinder head inner wall at different scales. (a)-(c) Reconstructed images with pixel size of 1 pixel×1 pixel, 2 pixel×2 pixel,and 3 pixel×3 pixel when N=500, respectively; (d)-(f) reconstructed images with pixel size of 1 pixel×1 pixel, 2 pixel×2 pixel, and 3 pixel×3 pixel when N=1000, respectively
    Principle of multi-scale image fusion method
    Speckle patterns of thermal field on inner wall at different scales. (a)-(c) Inner wall thermal field speckle patterns with pixel size of 1 pixel×1 pixel, 2 pixel×2 pixel, and 3 pixel×3 pixel respectively
    Images of cracked cylinder head inner wall. (a)(d) Images of the original object; (b)(e) images reconstructed by traditional association and differential association when N=500, respectively; (d)(f) images fused by traditional association and differential association respectively when the fusion weight is 1∶1∶1
    Fused inner wall images with different weight proportions. (a) 2∶1∶1; (b) 3∶1∶1; (c) 4∶1∶1; (d) 1∶1∶2; (e) 1∶1∶3; (f) 1∶1∶4
    Change curves of quantitative index for images under different measurement times. (a) Average SSIM value; (b) average PSNR value; (c) average V value
    • Table 1. Performance parameters of a single-cylinder four-valve internal combustion engine

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      Table 1. Performance parameters of a single-cylinder four-valve internal combustion engine

      ParameterValue
      Cylinder diameter /mm120
      Cylinder head stroke /mm150
      Total emissions /L10.45
      Nominal power /kW162
      Calibrated power speed /(r·min-12200
      Maximum torque /(N·m)844
    • Table 2. Comparison of evaluation indexes between traditional association imaging and multi-scale fusion images

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      Table 2. Comparison of evaluation indexes between traditional association imaging and multi-scale fusion images

      Evaluation indexTraditional associationMulti-scale fusion
      PSNR6.60737.2429
      SSIM0.97450.9790
      V0.17950.2264
    • Table 3. Comparison of evaluation indexes between differential association imaging and multi-scale fusion images

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      Table 3. Comparison of evaluation indexes between differential association imaging and multi-scale fusion images

      Evaluation indexDifferential associationMulti-scale fusion
      PSNR6.96037.4523
      SSIM0.97590.9812
      V0.21550.2436
    • Table 4. Evaluation indexes under different weight proportion

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      Table 4. Evaluation indexes under different weight proportion

      Weight proportionPSNRSSIMV
      2117.13580.97980.2148
      3117.05360.98090.2078
      4116.99170.98130.2031
      1117.24290.97900.2264
      1127.19600.97770.2356
      1137.14620.97680.2412
      1147.10430.97670.2449
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    Quanliang Li, Xiaoxia Wang, Fengbao Yang. Multiscale Image Fusion-Based Thermal Fatigue Damage Detection Method for Cylinder Head Inner Wall[J]. Laser & Optoelectronics Progress, 2023, 60(6): 0612002

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Oct. 31, 2022

    Accepted: Nov. 8, 2022

    Published Online: Mar. 16, 2023

    The Author Email: Xiaoxia Wang (wangxiaoxia@nuc.edu.cn)

    DOI:10.3788/LOP222923

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