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An Efficient Method for Laser Welding Depth Determination Using Optical Coherence Tomography.

Guanming Xie1,2, Sanhong Wang3, Yueqiang Zhang1,2

  • 1Institute of Intelligent Optical Measurement and Detection, Shenzhen University, Shenzhen 518060, China.

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Summary
This summary is machine-generated.

This study introduces an efficient method for precisely measuring laser welding depth using Optical Coherence Tomography (OCT) data. The novel approach combines DBSCAN (Density-Based Spatial Clustering of Application with Noise) and a percentile filter, achieving high accuracy for power battery manufacturing.

Keywords:
DBSCANlaser weldingoptical coherence tomographyoutlierpercentile filterwelding depth

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Area of Science:

  • Materials Science
  • Manufacturing Engineering
  • Optical Metrology

Background:

  • Precise laser welding depth is critical for new energy vehicle power battery manufacturing.
  • Indirect monitoring methods (optical, visual, acoustic) lack accuracy for continuous welding depth measurement.
  • Optical Coherence Tomography (OCT) offers direct, high-accuracy measurement but requires robust data processing.

Purpose of the Study:

  • To develop an efficient and accurate method for determining laser welding depth from OCT data.
  • To address the complexity of noise removal in OCT data for welding depth analysis.
  • To enable precise online monitoring of welding depth in demanding manufacturing applications.

Main Methods:

  • Proposed a novel method combining DBSCAN (Density-Based Spatial Clustering of Application with Noise) and a percentile filter for welding depth determination.
  • Utilized DBSCAN to identify and remove noise (outliers) from OCT data.
  • Applied a percentile filter to extract the welding depth from the cleaned OCT data.

Main Results:

  • The proposed method successfully detected noise in OCT data using DBSCAN.
  • The combined DBSCAN and percentile filter approach efficiently extracted welding depth.
  • Validation against longitudinal cross-sections showed an average error of less than 5% in determined welding depth.

Conclusions:

  • The developed method provides an efficient and precise solution for laser welding depth determination using OCT.
  • This technique enhances the reliability of online monitoring in critical manufacturing processes like power battery production.
  • The noise-robust approach improves the practical applicability of OCT for industrial laser welding quality control.