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April 12, 2026VehiclesOpen Access

Automated Mid-Surface Mesh Reconstruction for Automotive Plastic Parts Based on Point Cloud Registration

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Authors

YMYan MaHTHongbin TangZHZehui Huang

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Overview

Automated reconstruction improves mesh quality in automotive components, suggesting enhanced efficiency in CAE processes.

Key Points

  • The aim is to develop an automated method for accurately reconstructing mid-surface meshes in automotive CAE.
  • Developed an automated mid-surface reconstruction framework using point cloud registration techniques.
  • Implemented Random Sample Consensus (RANSAC) and Iterative Closest Point (ICP) for rigid registration.
  • Utilized Coherent Point Drift (CPD) for non-rigid registration and refined alignment of point clouds.
  • Employed a K-Nearest Neighbor (K-NN) search-based mechanism for displacement binding and correction.
  • Conducted experimental validation on typical plastic snap-fit components.
  • Achieved a normal projection error of less than 0.05 mm compared to the gold standard mesh.
  • Processing time per component was approximately 38 seconds, improving efficiency by over 73% compared to manual methods.
  • Effectively reduced mid-surface distortion and loss of features during the reconstruction process.

Cite This Study

Ma et al. (2026) studied this question.

synapsesocial.com/papers/69db37ca4fe01fead37c5cffhttps://doi.org/10.3390/vehicles8040089
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Also Consider

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  1. 1Automated Mid-Surface Mesh Generation Method for Automotive Plastic Parts Based on Deep Learning2026
  2. 2A Multi-Constraint Point Cloud Registration Method for Machining Error Measurement of Thin-Walled Parts2026 · 2 citations
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