Review of in-process defect monitoring for automated tape laying

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Review of in-process defect monitoring for automated tape laying. / Yadav, Neha; Schledjewski, Ralf.
In: Composites Part A: Applied Science and Manufacturing, Vol. 173.2023, No. Oktober, 107654, 20.07.2023.

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Yadav N, Schledjewski R. Review of in-process defect monitoring for automated tape laying. Composites Part A: Applied Science and Manufacturing. 2023 Jul 20;173.2023(Oktober):107654. Epub 2023 Jul 20. doi: 10.1016/j.compositesa.2023.107654

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@article{62ba28c8ef114f99b46928824db7f6b2,
title = "Review of in-process defect monitoring for automated tape laying",
abstract = "Automated tape laying is a well-established composite manufacturing process for high performance industries. While the process has seen vast growth over the 30 years of its conception, in-process monitoring is the most relevant and researched topic for present and future process development. The presented review highlights the importance of developing in-process monitoring tools and provides a detailed overview of such techniques for defect detection. Commonly occurring manufacturing defects, their influence on part and structural performance are assessed and discussed. The evolution of defect detection technologies considering defects types, accuracy, and speed are detailed. A summary of most promising approaches as per defect detection capabilities is presented. Defect rectification techniques are also discussed.",
author = "Neha Yadav and Ralf Schledjewski",
note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",
year = "2023",
month = jul,
day = "20",
doi = "10.1016/j.compositesa.2023.107654",
language = "English",
volume = "173.2023",
journal = "Composites Part A: Applied Science and Manufacturing",
issn = "1359-835X",
publisher = "Elsevier",
number = "Oktober",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Review of in-process defect monitoring for automated tape laying

AU - Yadav, Neha

AU - Schledjewski, Ralf

N1 - Publisher Copyright: © 2023 The Author(s)

PY - 2023/7/20

Y1 - 2023/7/20

N2 - Automated tape laying is a well-established composite manufacturing process for high performance industries. While the process has seen vast growth over the 30 years of its conception, in-process monitoring is the most relevant and researched topic for present and future process development. The presented review highlights the importance of developing in-process monitoring tools and provides a detailed overview of such techniques for defect detection. Commonly occurring manufacturing defects, their influence on part and structural performance are assessed and discussed. The evolution of defect detection technologies considering defects types, accuracy, and speed are detailed. A summary of most promising approaches as per defect detection capabilities is presented. Defect rectification techniques are also discussed.

AB - Automated tape laying is a well-established composite manufacturing process for high performance industries. While the process has seen vast growth over the 30 years of its conception, in-process monitoring is the most relevant and researched topic for present and future process development. The presented review highlights the importance of developing in-process monitoring tools and provides a detailed overview of such techniques for defect detection. Commonly occurring manufacturing defects, their influence on part and structural performance are assessed and discussed. The evolution of defect detection technologies considering defects types, accuracy, and speed are detailed. A summary of most promising approaches as per defect detection capabilities is presented. Defect rectification techniques are also discussed.

UR - http://www.scopus.com/inward/record.url?scp=85164236456&partnerID=8YFLogxK

U2 - 10.1016/j.compositesa.2023.107654

DO - 10.1016/j.compositesa.2023.107654

M3 - Article

VL - 173.2023

JO - Composites Part A: Applied Science and Manufacturing

JF - Composites Part A: Applied Science and Manufacturing

SN - 1359-835X

IS - Oktober

M1 - 107654

ER -