Predictive modelling of the automated fibre placement (AFP) processes: perspectives and challenges

Jonathan P Belnoue; Yi Wang; James Kratz; Dmitry Ivanov; Stephen R Hallett

Predictive modelling of the automated fibre placement (AFP) processes: perspectives and challenges

Jonathan P Belnoue, Yi Wang, James Kratz, Dmitry Ivanov, Stephen R Hallett

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Abstract

The present contribution gives an overview of the recent efforts developed at Bristol Composite Institute (ACCIS) towards building a finite element modelling framework for AFP processes. Inputs include both fundamental understanding of the material behaviour and efficient numerical tools for implementation at large component scale modelling. The requirements for a numerical model for AFP are explored, limitations of the current state-of-art modelling techniques are assessed and a roadmap towards fully predictive and efficient simulation tools is proposed.

Original language	English
Title of host publication	Automated Composites Manufacturing (ACM4)
Subtitle of host publication	Fourth International Symposium
Editors	Suong V. Hoa
Publisher	DEStech Publications, Inc.
Chapter	Part 4
ISBN (Print)	978-1-60595-603-9
Publication status	Published - 1 May 2019

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This is the author accepted manuscript (AAM). The final published version (version of record) appeared in the Automated Composites Manufacturing (ACM4) Proceedings, 2019. Lancaster, PA: DEStech Publications, Inc at https://www.destechpub.com/product/automated-composites-manufacturing-acm4/. Please refer to any applicable terms of use of the publisher.
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Belnoue, J. P., Wang, Y., Kratz, J., Ivanov, D., & Hallett, S. R. (2019). Predictive modelling of the automated fibre placement (AFP) processes: perspectives and challenges. In S. V. Hoa (Ed.), Automated Composites Manufacturing (ACM4): Fourth International Symposium DEStech Publications, Inc.. https://www.destechpub.com/product/automated-composites-manufacturing-acm4/

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title = "Predictive modelling of the automated fibre placement (AFP) processes: perspectives and challenges",

abstract = "The present contribution gives an overview of the recent efforts developed at Bristol Composite Institute (ACCIS) towards building a finite element modelling framework for AFP processes. Inputs include both fundamental understanding of the material behaviour and efficient numerical tools for implementation at large component scale modelling. The requirements for a numerical model for AFP are explored, limitations of the current state-of-art modelling techniques are assessed and a roadmap towards fully predictive and efficient simulation tools is proposed.",

author = "Belnoue, {Jonathan P} and Yi Wang and James Kratz and Dmitry Ivanov and Hallett, {Stephen R}",

year = "2019",

month = may,

day = "1",

language = "English",

isbn = "978-1-60595-603-9",

editor = "Hoa, {Suong V. }",

booktitle = "Automated Composites Manufacturing (ACM4)",

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Predictive modelling of the automated fibre placement (AFP) processes: perspectives and challenges. / Belnoue, Jonathan P ; Wang, Yi ; Kratz, James et al.
Automated Composites Manufacturing (ACM4): Fourth International Symposium. ed. / Suong V. Hoa. DEStech Publications, Inc., 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Predictive modelling of the automated fibre placement (AFP) processes

T2 - perspectives and challenges

AU - Belnoue, Jonathan P

AU - Wang, Yi

AU - Kratz, James

AU - Ivanov, Dmitry

AU - Hallett, Stephen R

PY - 2019/5/1

Y1 - 2019/5/1

N2 - The present contribution gives an overview of the recent efforts developed at Bristol Composite Institute (ACCIS) towards building a finite element modelling framework for AFP processes. Inputs include both fundamental understanding of the material behaviour and efficient numerical tools for implementation at large component scale modelling. The requirements for a numerical model for AFP are explored, limitations of the current state-of-art modelling techniques are assessed and a roadmap towards fully predictive and efficient simulation tools is proposed.

AB - The present contribution gives an overview of the recent efforts developed at Bristol Composite Institute (ACCIS) towards building a finite element modelling framework for AFP processes. Inputs include both fundamental understanding of the material behaviour and efficient numerical tools for implementation at large component scale modelling. The requirements for a numerical model for AFP are explored, limitations of the current state-of-art modelling techniques are assessed and a roadmap towards fully predictive and efficient simulation tools is proposed.

M3 - Conference Contribution (Conference Proceeding)

SN - 978-1-60595-603-9

BT - Automated Composites Manufacturing (ACM4)

A2 - Hoa, Suong V.

PB - DEStech Publications, Inc.

ER -

Predictive modelling of the automated fibre placement (AFP) processes: perspectives and challenges

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