Automated fibre placement based composite structures: Review on the defects, impacts and inspections techniques

Ebrahim Oromiehie; B. Gangadhara Prusty; Paul Compston; Ginu Rajan

doi:10.1016/j.compstruct.2019.110987

Automated fibre placement based composite structures: Review on the defects, impacts and inspections techniques

Ebrahim Oromiehie^*
, B. Gangadhara Prusty
, Paul Compston
, Ginu Rajan

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

283 Citations (Scopus)

Abstract

Automated fibre placement (AFP)offers high throughput, efficient and accurate manufacturing methods for making multi-stiffened laminated composites. However, processing conditions, machine tolerances and steering of tape can induce small random defects within the laminate, which may compromise the structural integrity. Thus, this paper presents a comprehensive review on the processing/steering-induced defects in AFP and their influence on the quality of the final product. Three key processing parameters in AFP, specifically consolidation force, lay-up speed and curing/melting temperature are attempted elaborately. Additionally, the paper attempted to present the discussions on in-situ process monitoring as well as the Machine Learning (ML)based predictive models for AFP based composites.

Original language	English
Article number	110987
Journal	Composite Structures
Volume	224
DOIs	https://doi.org/10.1016/j.compstruct.2019.110987
Publication status	Published - 15 May 2019
Externally published	Yes

Keywords

Automated fibre placement
In-situ condition monitoring and machine learning
Processing defects

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10.1016/j.compstruct.2019.110987

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title = "Automated fibre placement based composite structures: Review on the defects, impacts and inspections techniques",

abstract = "Automated fibre placement (AFP)offers high throughput, efficient and accurate manufacturing methods for making multi-stiffened laminated composites. However, processing conditions, machine tolerances and steering of tape can induce small random defects within the laminate, which may compromise the structural integrity. Thus, this paper presents a comprehensive review on the processing/steering-induced defects in AFP and their influence on the quality of the final product. Three key processing parameters in AFP, specifically consolidation force, lay-up speed and curing/melting temperature are attempted elaborately. Additionally, the paper attempted to present the discussions on in-situ process monitoring as well as the Machine Learning (ML)based predictive models for AFP based composites.",

keywords = "Automated fibre placement, In-situ condition monitoring and machine learning, Processing defects",

author = "Ebrahim Oromiehie and Prusty, \{B. Gangadhara\} and Paul Compston and Ginu Rajan",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2019",

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doi = "10.1016/j.compstruct.2019.110987",

language = "English",

volume = "224",

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T2 - Review on the defects, impacts and inspections techniques

AU - Oromiehie, Ebrahim

AU - Prusty, B. Gangadhara

AU - Compston, Paul

AU - Rajan, Ginu

PY - 2019/5/15

Y1 - 2019/5/15

N2 - Automated fibre placement (AFP)offers high throughput, efficient and accurate manufacturing methods for making multi-stiffened laminated composites. However, processing conditions, machine tolerances and steering of tape can induce small random defects within the laminate, which may compromise the structural integrity. Thus, this paper presents a comprehensive review on the processing/steering-induced defects in AFP and their influence on the quality of the final product. Three key processing parameters in AFP, specifically consolidation force, lay-up speed and curing/melting temperature are attempted elaborately. Additionally, the paper attempted to present the discussions on in-situ process monitoring as well as the Machine Learning (ML)based predictive models for AFP based composites.

AB - Automated fibre placement (AFP)offers high throughput, efficient and accurate manufacturing methods for making multi-stiffened laminated composites. However, processing conditions, machine tolerances and steering of tape can induce small random defects within the laminate, which may compromise the structural integrity. Thus, this paper presents a comprehensive review on the processing/steering-induced defects in AFP and their influence on the quality of the final product. Three key processing parameters in AFP, specifically consolidation force, lay-up speed and curing/melting temperature are attempted elaborately. Additionally, the paper attempted to present the discussions on in-situ process monitoring as well as the Machine Learning (ML)based predictive models for AFP based composites.

KW - Automated fibre placement

KW - In-situ condition monitoring and machine learning

KW - Processing defects

UR - https://www.scopus.com/pages/publications/85066233335

U2 - 10.1016/j.compstruct.2019.110987

DO - 10.1016/j.compstruct.2019.110987

M3 - Review article

AN - SCOPUS:85066233335

SN - 0263-8223

VL - 224

JO - Composite Structures

JF - Composite Structures

M1 - 110987

ER -

Automated fibre placement based composite structures: Review on the defects, impacts and inspections techniques

Abstract

Keywords

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