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Scanning acoustic microscopy for material evaluation
Scanning acoustic microscopy (SAM) or Acoustic Micro Imaging (AMI) is a powerful, non-destructive technique that can detect hidden defects in elastic and biological samples as well as non-transparent hard materials. By monitoring the internal features of a sample in three-dimensional integration, th...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Singapore
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818342/ https://www.ncbi.nlm.nih.gov/pubmed/33580436 http://dx.doi.org/10.1186/s42649-020-00045-4 |
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author | Yu, Hyunung |
author_facet | Yu, Hyunung |
author_sort | Yu, Hyunung |
collection | PubMed |
description | Scanning acoustic microscopy (SAM) or Acoustic Micro Imaging (AMI) is a powerful, non-destructive technique that can detect hidden defects in elastic and biological samples as well as non-transparent hard materials. By monitoring the internal features of a sample in three-dimensional integration, this technique can efficiently find physical defects such as cracks, voids, and delamination with high sensitivity. In recent years, advanced techniques such as ultrasound impedance microscopy, ultrasound speed microscopy, and scanning acoustic gigahertz microscopy have been developed for applications in industries and in the medical field to provide additional information on the internal stress, viscoelastic, and anisotropic, or nonlinear properties. X-ray, magnetic resonance, and infrared techniques are the other competitive and widely used methods. However, they have their own advantages and limitations owing to their inherent properties such as different light sources and sensors. This paper provides an overview of the principle of SAM and presents a few results to demonstrate the applications of modern acoustic imaging technology. A variety of inspection modes, such as vertical, horizontal, and diagonal cross-sections have been presented by employing the focus pathway and image reconstruction algorithm. Images have been reconstructed from the reflected echoes resulting from the change in the acoustic impedance at the interface of the material layers or defects. The results described in this paper indicate that the novel acoustic technology can expand the scope of SAM as a versatile diagnostic tool requiring less time and having a high efficiency. |
format | Online Article Text |
id | pubmed-7818342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-78183422021-02-10 Scanning acoustic microscopy for material evaluation Yu, Hyunung Appl Microsc Review Scanning acoustic microscopy (SAM) or Acoustic Micro Imaging (AMI) is a powerful, non-destructive technique that can detect hidden defects in elastic and biological samples as well as non-transparent hard materials. By monitoring the internal features of a sample in three-dimensional integration, this technique can efficiently find physical defects such as cracks, voids, and delamination with high sensitivity. In recent years, advanced techniques such as ultrasound impedance microscopy, ultrasound speed microscopy, and scanning acoustic gigahertz microscopy have been developed for applications in industries and in the medical field to provide additional information on the internal stress, viscoelastic, and anisotropic, or nonlinear properties. X-ray, magnetic resonance, and infrared techniques are the other competitive and widely used methods. However, they have their own advantages and limitations owing to their inherent properties such as different light sources and sensors. This paper provides an overview of the principle of SAM and presents a few results to demonstrate the applications of modern acoustic imaging technology. A variety of inspection modes, such as vertical, horizontal, and diagonal cross-sections have been presented by employing the focus pathway and image reconstruction algorithm. Images have been reconstructed from the reflected echoes resulting from the change in the acoustic impedance at the interface of the material layers or defects. The results described in this paper indicate that the novel acoustic technology can expand the scope of SAM as a versatile diagnostic tool requiring less time and having a high efficiency. Springer Singapore 2020-11-05 /pmc/articles/PMC7818342/ /pubmed/33580436 http://dx.doi.org/10.1186/s42649-020-00045-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Yu, Hyunung Scanning acoustic microscopy for material evaluation |
title | Scanning acoustic microscopy for material evaluation |
title_full | Scanning acoustic microscopy for material evaluation |
title_fullStr | Scanning acoustic microscopy for material evaluation |
title_full_unstemmed | Scanning acoustic microscopy for material evaluation |
title_short | Scanning acoustic microscopy for material evaluation |
title_sort | scanning acoustic microscopy for material evaluation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818342/ https://www.ncbi.nlm.nih.gov/pubmed/33580436 http://dx.doi.org/10.1186/s42649-020-00045-4 |
work_keys_str_mv | AT yuhyunung scanningacousticmicroscopyformaterialevaluation |