A Visual Measurement Method for Deep Holes in Composite Material Aerospace Components.

Laplace operator composite materials image processing robotic assembly

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
11 Jun 2024
Historique:
received: 12 04 2024
revised: 30 05 2024
accepted: 07 06 2024
medline: 27 6 2024
pubmed: 27 6 2024
entrez: 27 6 2024
Statut: epublish

Résumé

The visual measurement of deep holes in composite material workpieces constitutes a critical step in the robotic assembly of aerospace components. The positioning accuracy of assembly holes significantly impacts the assembly quality of components. However, the complex texture of the composite material surface and mutual interference between the imaging of the inlet and outlet edges of deep holes significantly challenge hole detection. A visual measurement method for deep holes in composite materials based on the radial penalty Laplacian operator is proposed to address the issues by suppressing visual noise and enhancing the features of hole edges. Coupled with a novel inflection-point-removal algorithm, this approach enables the accurate detection of holes with a diameter of 10 mm and a depth of 50 mm in composite material components, achieving a measurement precision of 0.03 mm.

Identifiants

pubmed: 38931573
pii: s24123786
doi: 10.3390/s24123786
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Science Fund of China
ID : 52325506
Organisme : National Science Fund of China
ID : 52305450
Organisme : China Postdoctoral Science Foundation
ID : 2023TQ0045

Auteurs

Fantong Meng (F)

State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian 116024, China.

Jiankun Yang (J)

Pengcheng Laboratory, Shenzhen 518055, China.

Guolin Yang (G)

State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian 116024, China.

Haibo Lu (H)

Pengcheng Laboratory, Shenzhen 518055, China.

Zhigang Dong (Z)

State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian 116024, China.

Renke Kang (R)

State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian 116024, China.

Dongming Guo (D)

State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian 116024, China.

Yan Qin (Y)

State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian 116024, China.

Classifications MeSH