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

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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.

Iaith wreiddiol	Saesneg
Rhif yr erthygl	110987
Cyfnodolyn	Composite Structures
Cyfrol	224
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1016/j.compstruct.2019.110987
Statws	Cyhoeddwyd - 15 Mai 2019
Cyhoeddwyd yn allanol	Ie

Mynediad at Ddogfen

10.1016/j.compstruct.2019.110987

Ffeiliau eraill a chysylltiadau

Dolen i’r cyhoeddiad yn Scopus

Dyfynnu hyn

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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",

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T1 - Automated fibre placement based composite structures

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

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DO - 10.1016/j.compstruct.2019.110987

M3 - Review article

AN - SCOPUS:85066233335

SN - 0263-8223

VL - 224

JO - Composite Structures

JF - Composite Structures

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