A parametric study of segmentation thresholds for X-ray CT porosity characterisation in composite materials-Reference-Cited by-同舟云学术

A parametric study of segmentation thresholds for X-ray CT porosity characterisation in composite materials

Published:2019-08 Issue: Volume:123 Page:10-24
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:

Tretiak Iryna,Smith Robert A.^ORCID

Publisher

Elsevier BV

Subject

Mechanics of Materials,Ceramics and Composites

Reference49 articles.

1. Ultrasonic attenuation as a measure of void content in carbon-fibre reinforced plastics;Stone;Non-Destr Test,1975

2. Gagauz I, Kawashita LF, Hallett SR. Effect of voids on interlaminar behaviour of carbon/epoxy composites. ECCM 2016 – Proceeding 17th Eur Conf Compos Mater; 2016. p. 26–30.

3. Ultrasonic attenuation due to voids in fibre-reinforced plastics;Martin;NDT Int,1976

4. A review of NDE methods for porosity measurement in fibre-reinforced polymer composites;Birt;J Br Inst NDT,2004

5. Dominguez N. Method and device for the ultrasonic non-destructive checking of the porosity of a part made of composite material. WO 2009/130140 A1; 2009.

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fibre misalignments in the split-disk test represented by random fields;Composites Part B: Engineering;2024-11

2. Ultrasonic guided wave damage localization method for composite fan blades based on damage-scattered wave difference;Smart Materials and Structures;2024-09-05

3. Resolution enhancement and segmentation of polar bubbly ice micro CT scans via 3D convolutional neural network;Applied Computing and Geosciences;2024-09

4. Multi-scale Modeling and Finite Element Analyses of Thermal Conductivity of 3D C/SiC Composites Fabricating by Flexible-Oriented Woven Process;Chinese Journal of Mechanical Engineering;2024-07-05

5. Novel thresholding method and convolutional neural network for fiber volume content determination from 3D μCT images;NDT & E International;2024-06