This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

trusted source

proofread

Novel non-destructive inspection technique reconstructs inner hidden composition and structure of inspection targets

Carbon nanotube Eye: reconstruction of inner hidden composition & structure of inspection targets
Conceptual diagram of this work. Credit: Kou Li, Yukio Kawano et al., Chuo University

A research group at Chuo University, Japan, led by Assistant Professor Kou Li (Faculty of Science and Engineering), in collaboration with National Institute of Informatics, have developed a novel non-destructive inspection technique by effectively combining their own multi-functional photo monitoring device and system with image data-driven three-dimensional (3D) restoration methods. The technique precisely evaluates target objects by compositional identifications and structural reconstructions.

Their paper is published in Advanced Optical Materials.

Since the dawn of the IoT (Internet of Things) society, non-destructive inspection techniques have garnered attention to assure fundamental safety in cyber and physical interactions by detecting concealed defects of daily and industrial components. In particular, photo-imaging methods play core roles in non-destructive inspections for their non-contact and large-area (i.e., informative) data acquisition.

Meanwhile, representative inspecting points include compositional identifications (what materials target objects and their concealed defects comprise) and structural reconstructions (how and which shapes the above materials form). Although efforts, collectively satisfying the compositional identifications and structural reconstructions, potentially facilitate precise and reliable social quality testing, studies demonstrating the above concepts are still insufficient.

To tackle such crucial technical limitations, this work developed an unconventional non-destructive platform that could provide a breakthrough in the study field of safety and quality testing.

In this work, Kou Li, the leader of the collaborative research group, effectively combined the sensing device and system for compositional identifications uniquely developed in Chuo University by employing cutting-edge nanomaterials: Japan-origin carbon nanotubes (CNT), with 3D structural reconstruction schemes in NII that were simply based on superposition of silhouette images from target objects.

More information: Kou Li et al, Simple Non‐Destructive and 3D Multi‐Layer Visual Hull Reconstruction with an Ultrabroadband Carbon Nanotubes Photo‐Imager, Advanced Optical Materials (2023). DOI: 10.1002/adom.202302847

Provided by Chuo University

Citation: Novel non-destructive inspection technique reconstructs inner hidden composition and structure of inspection targets (2024, February 28) retrieved 7 March 2024 from https://phys.org/news/2024-02-destructive-technique-reconstructs-hidden-composition.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

AI-driven method helps improve quality assurance for wind turbines

1 shares

Feedback to editors