An Optical Method for the Rapid Measurement of Corrugated Plate Depth Based on Line Laser Sensor

This paper presents a non-contact depth detection method for corrugated heat exchanger plates, aiming to improve measurement efficiency and accuracy. The system integrates a line laser sensor with a precision linear guide rail, enabling continuous acquisition of high-resolution 2D surface profiles as the sensor moves along the plate. To reduce data redundancy while preserving geometric features, a multi-stage data reduction strategy is proposed. This strategy combines the angle-chord height criterion with spline-based filtering to identify key regions of curvature and eliminate unnecessary point cloud data. For depth extraction, a two-stage feature recognition algorithm is designed. First, a coarse analysis locates candidate peaks and valleys by identifying local extrema in the reduced 2D data. Then, a fine detection process is applied: local B-spline fitting is performed near each candidate point, and a binary search algorithm is used to accurately determine the spline extrema. By computing the vertical distance between precisely located peaks and valleys, the system rapidly extracts the corrugation depth parameters. This method achieves a high balance between speed and precision, offering a practical and reliable solution for automated surface morphology inspection in heat exchanger manufacturing.

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Publication Details

Journal
Sensors
Published
2026-04-16
DOI
https://doi.org/10.3390/s26082446
Primary Topic
Advanced Measurement and Metrology Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

An Optical Method for the Rapid Measurement of Corrugated Plate Depth Based on Line Laser Sensor

Chengxing Wu, Xin Li, Jie Chen, Xudong Mao et al.
Sensors
Advanced Measurement and Metrology Techniques
article

An Optical Method for the Rapid Measurement of Corrugated Plate Depth Based on Line Laser Sensor

Chengxing Wu, Xin Li, Jie Chen, Xudong Mao, Qiuying Zhou, Changhui Huang
article en

Abstract

This paper presents a non-contact depth detection method for corrugated heat exchanger plates, aiming to improve measurement efficiency and accuracy. The system integrates a line laser sensor with a precision linear guide rail, enabling continuous acquisition of high-resolution 2D surface profiles as the sensor moves along the plate. To reduce data redundancy while preserving geometric features, a multi-stage data reduction strategy is proposed. This strategy combines the angle-chord height criterion with spline-based filtering to identify key regions of curvature and eliminate unnecessary point cloud data. For depth extraction, a two-stage feature recognition algorithm is designed. First, a coarse analysis locates candidate peaks and valleys by identifying local extrema in the reduced 2D data. Then, a fine detection process is applied: local B-spline fitting is performed near each candidate point, and a binary search algorithm is used to accurately determine the spline extrema. By computing the vertical distance between precisely located peaks and valleys, the system rapidly extracts the corrugation depth parameters. This method achieves a high balance between speed and precision, offering a practical and reliable solution for automated surface morphology inspection in heat exchanger manufacturing.

SensorsVol. 26(8)
Korea Testing Certification (KR), Shandong Special Equipment Inspection Institute (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Advanced Measurement and Metrology Techniques
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