Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1215009(2025)

Machine-Vision-Based Microtension Force Detection of Carbon Fiber Tows

Yue Ji1,2、*, Hai Zhang1,2, Jinyi Li1,2, Limei Song1,2, and Jiuzhi Dong3
Author Affiliations
  • 1School of Control Science and Engineering, Tiangong University, Tianjin 300387, China
  • 2Tianjin Key Laboratory of Intelligent Control of Electrical Equipment, Tiangong University, Tianjin 300387, China
  • 3School of Mechanical Engineering, Tiangong University, Tianjin 300387, China
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    Figures & Tables(19)
    Schematic diagram of vibrating string model
    Schematic diagram of sagging string model
    Carbon fiber image classification solving process
    Optical inspection of carbon fiber tows
    Carbon fiber tows preprocessing images. (a)(b) Splicing; (c)(d) threshold segmentation; (e)(f) boundary extraction
    S-G smoothing filtering
    Schematic diagram of filament bundle strip pooling module
    Improved ResNet18 network structure
    Loss value curves for improved ResNet18 model
    Carbon fiber tows tension experimental platform
    Carbon fiber tows vibration frequency and tension fitting curve
    Force analysis diagram of three-roller tension sensor
    Carbon fiber tows sag height and tension fitting curve
    Carbon fiber tows microtension comparison experiment results
    Sensor measurements and machine vision measurements at preset value of 2 cN
    • Table 1. Performance comparison of different image classification models

      View table

      Table 1. Performance comparison of different image classification models

      ModelTraining set accuracy /%Validation set accuracy /%Precision /%Recall /%Recognition time /ms
      SVM85.284.584.584.51.5
      Traditional CNN89.889.589.589.67.1
      ResNet1890.388.291.285.23.3
      Improved ResNet1899.198.799.198.93.5
    • Table 2. Image classification result

      View table

      Table 2. Image classification result

      Image classificationVibration imageSagging image
      3 cN and above image983
      3 cN following image297
      Total100100
    • Table 3. Comparison of relative errors of dual model and sensor measurements

      View table

      Table 3. Comparison of relative errors of dual model and sensor measurements

      Sensor measured value /cNVibration model relative error /%Sagging model relative error /%
      1.84-56.47-9.24
      2.00-45.735.50
      2.28-33.78-7.02
      2.35-48.12-2.98
      2.40-26.75-4.58
      2.54-52.42-3.94
      2.61-29.651.92
      2.77-36.41-3.61
      2.89-31.22-4.84
      2.99-27.38-3.68
    • Table 4. Relative error of tension for different wire materials

      View table

      Table 4. Relative error of tension for different wire materials

      Line density /g/kmSensor measured value /cNMachine vision measured value /cNRelative error /%
      2251.591.52-4.40
      1.731.60-7.51
      1.881.79-4.79
      2.031.98-2.46
      2.252.21-1.78
      2.382.432.10
      2.472.511.62
      2.662.62-1.50
      2.842.78-2.11
      3.062.96-3.27
      5001.841.67-9.24
      2.002.115.50
      2.282.12-7.02
      2.352.28-2.98
      2.402.29-4.58
      2.542.44-3.94
      2.612.661.92
      2.772.67-3.61
      2.892.75-4.84
      2.992.88-3.68
      10001.561.54-1.28
      1.751.69-3.43
      1.931.88-2.59
      2.082.05-1.44
      2.252.09-7.11
      2.282.21-3.07
      2.582.37-8.14
      2.672.55-4.49
      2.762.863.62
      2.982.89-3.02
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    Yue Ji, Hai Zhang, Jinyi Li, Limei Song, Jiuzhi Dong. Machine-Vision-Based Microtension Force Detection of Carbon Fiber Tows[J]. Laser & Optoelectronics Progress, 2025, 62(12): 1215009

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    Paper Information

    Category: Machine Vision

    Received: Dec. 3, 2024

    Accepted: Jan. 6, 2025

    Published Online: Jun. 12, 2025

    The Author Email: Yue Ji (jiyue@tiangong.edu.cn)

    DOI:10.3788/LOP242369

    CSTR:32186.14.LOP242369

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