Composite acoustic hole segmentation by semi-supervised learning for robotic multi-spindle drilling of aero-engine nacelle acoustic liners-Reference-Cited by-同舟云学术

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Composite acoustic hole segmentation by semi-supervised learning for robotic multi-spindle drilling of aero-engine nacelle acoustic liners

Published:2024-09 Issue: Volume:184 Page:108295
ISSN:1359-835X
Container-title:Composites Part A: Applied Science and Manufacturing
language:en
Short-container-title:Composites Part A: Applied Science and Manufacturing

Author:

Dong Qingyu,Mei Biao,Fu Yun^ORCID,Yang Yongtai,Zhu Weidong

Publisher

Elsevier BV

Reference47 articles.

1. Nark DM, Jones MG. An investigation of bifurcation acoustic treatment effects on aft-fan engine nacelle noise. 25th AIAA/CEAS Aeroacoustics Conference2019. p. 2627.

2. Aerospace looks to composites for solutions;Holmes;Reinf Plast,2017

3. Positioning variation synthesis for an automated drilling system in wing assembly;Mei;Rob Comput Integr Manuf,2021

4. Accurate positioning of a drilling and riveting cell for aircraft assembly;Mei;Rob Comput Integr Manuf,2021

5. A Machine Vision Framework for Autonomous Inspection of Drilled Holes in CFRP Panels;Hernandez,2020

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