主动热激励式红外热成像管道缺陷深度检测 
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Depth Test of Pipeline Defects by Active Thermal Excitation and Infrared Thermography
昆明理工大学信息工程与自动化学院, 云南 昆明 650500
图 & 表
图 1. (a)激励控制模块;(b)激励驱动模块;(c)谐振涡流激励线圈;(d)电涡流热激励装置工作状态
Fig. 1. (a) Excitation controller module;(b) excitation driver module; (c) resonant coil for eddy current thermal excitation; (d) eddy current excitation device in service
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图 2. 检测试件的实物图。(a)深度不同的槽形缺陷;(b)深度不同的圆形缺陷
Fig. 2. Physical maps of test specimens.(a) Groove-like defects with different depths;(b) circular defects with different depths
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图 3. 热激励效率因数随谐振频率的变化
Fig. 3. Variation of thermal excitation efficiency factor with resonant frequency
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图 4. 热激励效率因数随线圈提离高度的变化
Fig. 4. Variation of thermal excitation efficiency factor with lift-off distance
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图 5. 热激励效率因数随输入电功率的变化
Fig. 5. Variation of thermal excitation efficiency factor with input power
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图 6. 槽形缺陷深度与平均灰度差值的关系
Fig. 6. Relationship between groove-like defect depth and average grayscale difference
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图 7. 圆形缺陷深度与平均灰度差值的关系
Fig. 7. Relationship between circular defect depth and average grayscale difference
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图 8. 缺陷深度小于7 mm的圆形缺陷深度与平均灰度差的关系
Fig. 8. Relationship between circular defect depth with average grayscale difference when the depth is less than 7 mm
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图 9. 验证用检测试件的红外热图像。(a) 5 mm深槽形缺陷;(b) 6 mm深圆形缺陷
Fig. 9. Infrared thermal images of verifying specimens.(a) Groove-like defect with 5 mm depth;(b) circular defect with 6 mm depth
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表 1谐振频率对热激励效率的影响
Table1. Effects of resonance frequency on thermal excitation efficiency
| Number ofcoil turns | Resonantfrequency /kHz | Heat timefor 40 ℃ /s | Heat timefor 60 ℃ /s | Time differencefrom 40 ℃ to 60 ℃ /s | ε /10-5 |
|---|
| 54 | 16.5 | 250 | 485 | 235 | 4.432 | | 46 | 17.5 | 230 | 413 | 183 | 5.692 | | 40 | 18.5 | 242 | 428 | 186 | 5.600 | | 39 | 19.0 | 221 | 416 | 195 | 5.342 | | 38 | 20.0 | 315 | 532 | 217 | 4.800 |
|
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表 2线圈提离高度对热激励效率的影响
Table2. Effects of lift-off distance on thermal excitation efficiency
| Lift-offdistance /cm | Heat timefor 40 ℃ /s | Heat timefor 60 ℃ /s | Time differencefrom 40 ℃ to 60 ℃ / s | ε /10-5 |
|---|
| 1.0 | 162 | 289 | 127 | 5.833 | | 1.5 | 174 | 324 | 150 | 4.938 | | 2.0 | 130 | 297 | 167 | 4.436 | | 2.5 | 161 | 344 | 183 | 4.048 |
|
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表 3输入电功率对热激励效率的影响
Table3. Effects of input power on thermal excitation efficiency
| Input powerPi /W | Heat time for40 ℃ /s | Heat time for60 ℃ /s | Time differencefrom 40 ℃ to 60 ℃ / s | ε /10-5 |
|---|
| 75 | 330 | 588 | 258 | 5.168 | | 96 | 211 | 413 | 202 | 5.157 | | 144 | 165 | 300 | 135 | 5.144 | | 156 | 152 | 277 | 125 | 5.128 | | 174 | 134 | 247 | 113 | 5.086 |
|
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表 4不同深度槽形缺陷的灰度数据
Table4. Grayscale data of groove-like defects at different depths
| Defectdepth /mm | Averagegrayscale ofnon-defect area | Averagegrayscale ofdefect area | Averagegrayscaledifference |
|---|
| 1.0 | 27.87 | 35.35 | 7.48 | | 2.0 | 27.87 | 36.95 | 9.08 | | 3.0 | 29.51 | 40.20 | 10.69 | | 4.0 | 29.51 | 44.23 | 14.72 | | 4.9 | 25.22 | 40.54 | 15.32 | | 6.2 | 25.22 | 41.77 | 16.55 | | 6.8 | 25.20 | 42.37 | 17.17 | | 7.9 | 25.20 | 44.69 | 19.49 | | 9.0 | 24.78 | 49.17 | 24.39 |
|
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表 5不同深度圆形缺陷的灰度数据
Table5. Grayscale data of circular defects at different depths
| Defectdepth /mm | Averagegrayscaleof non-defectarea | Averagegrayscaleof defectarea | Averagegrayscalesdifference |
|---|
| 1.0 | 28.60 | 36.92 | 8.32 | | 2.0 | 28.60 | 38.47 | 9.87 | | 3.0 | 29.10 | 40.10 | 11.00 | | 4.0 | 29.10 | 43.71 | 14.61 | | 5.0 | 28.29 | 45.13 | 16.84 | | 6.0 | 28.29 | 48.37 | 20.08 | | 7.0 | 28.33 | 49.58 | 21.25 | | 8.0 | 28.33 | 49.9 | 21.57 | | 9.0 | 28.60 | 47.66 | 19.06 |
|
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王卓, 张云伟, 喻勇, 樊阳阳. 主动热激励式红外热成像管道缺陷深度检测[J]. 光学学报, 2018, 38(9): 0912003. Zhuo Wang, Yunwei Zhang, Yong Yu, Yangyang Fan. Depth Test of Pipeline Defects by Active Thermal Excitation and Infrared Thermography[J]. Acta Optica Sinica, 2018, 38(9): 0912003.
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