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www.bris.ac.uk/composites Understanding and predicting wrinkle defect formation Stephen Hallett Dmitry Ivanov, Ivana Partridge, Kevin Potter Jonathan Belnoue, Ollie Nixon-Pearson, James Kratz, Tassos Mesogitis, Adam Thompson

Understanding and predicting wrinkle defect formation · 2020. 7. 31. · essential for wrinkle driving mechanisms • Cruciform specimens designed and tested • A range of configurations

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  • www.bris.ac.uk/composites

    Understanding and predicting wrinkle defect formation

    Stephen HallettDmitry Ivanov, Ivana Partridge, Kevin Potter

    Jonathan Belnoue, Ollie Nixon-Pearson, James Kratz, Tassos Mesogitis, Adam Thompson

  • 2Background

    • Waviness in composites material is almost unavoidable in thick parts

    • Can originate from a variety of sources• Waviness can have a very significant impact on

    static and fatigue failure – through thickness strength reduced by >50%– tensile strength reduced by >30%– Compression strength reduced by >30%

    • Modern FE techniques can capture the knockdown in strength caused by wrinkling

    • Predicting the formation of wrinkle defects is less well advanced

    • The focus of this work is the understanding, prediction and mitigation of wrinkle defects

  • 3Wrinkle Formation

    • Consolidation of plies during layup, debulk and cure is one of the main generation mechanisms for wrinkles

  • 4Compaction Tests• Understanding compaction is

    essential for wrinkle driving mechanisms

    • Cruciform specimens designed and tested

    • A range of configurations to challenge the models– Ply thickness changes– In-plane scaling

    • Tested over a range of temperatures (30 – 90°C) and pressures, with time dependence– Suitable for AFP deposition and debulk

    consolidation– Also applicable to broadgoods

    • Two material systems – Interlayer toughened vs

    no interlayer

    1525

    Cross Ply (CP)

    Blocked Ply (BP)

    3050

    Baseline

    Scaled-up

    1.4

    1.6

    1.8

    2.0

    2.2

    2.4

    0 240 480 720 960

    Thic

    knes

    s (m

    m)

    Time (s)

    BP_30C

    BP_60C

    BP_90C

  • 5Hyper-viscoelastic Model• New constitutive model

    formulated to model uncured pre-preg

    • Accounts for shear flow andbleeding flow in the material

    • Requires only 3 material parameters

    • Able to model all experimental effects with a single set of parameters– Ply thickness– In-plane scaling– Temperature

    • Applicable to both material systems tested

    IM7-8552

    1

    1.5

    2

    2.5

    20 40 60 80 100

    Fina

    l thi

    ckne

    ss (m

    m)

    T (°C)

    Baseline specimen

    CP (exp.)BP (exp.)CP (mod. pred.)BP (mod. pred.)

    1

    1.5

    2

    2.5

    20 40 60 80 100

    Fina

    l thi

    ckne

    ss (m

    m)

    T (°C)

    Scale-up specimen

    CP (exp.)BP (exp.)CP (mod. pred.)BP (mod. pred.)

  • 6

    • Numerical models run on previous good quality specimens to predict final geometry

    • Matlab tools generate the models directly from a simple ply-book

    • Good agreement achieved• New tooling for complex double

    taper under manufacture• Will be able to deliberately form

    wrinkles due to compaction for further study

    Taper and Ply Drops

  • 7Surface Step Change

    • Laminates with an abrupt thickness or step change on the surface can result in wrinkles

    • Bag bridging gives reduced consolidation pressure at the base of step and allows a wrinkle to form

    • Typical of stinger foot/skin interaction • Several cases of co-bonded and co-cured

    investigated

  • 8Corner Radius

    • Corner radii are typical of many components e.g. C or box section

    • When laid onto a male tool the consolidation creates extra length of plies around the radius

    • If constrained, either by geometry or inter-ply friction, then wrinkles can occur

  • 9Gaps and overlaps• Minor errors in Automated Fibre

    Placement (AFP) can lead to ply movement during consolidation

    • Specimens being made to deliberately induce waviness by positioning of gaps and overlaps

    • Slightly artificial case, but is to provide validation for the models

  • 10Textile Composites

    • Main focus is on pre-preg UD materials

    • Wrinkle defects also occur in textile composites

    • Mechanisms are more complex due to internal weave architecture

    • Finite element modelling being undertaken to predict final geometry

    • Initial focus is on unit cell, but modelling is also being extended to macro-scale capability

    Vf91%

    65%

  • 11Summary

    • Consolidation is a major driver for wrinkle formation

    • A range of experiments have been conducted to characterise consolidation behaviour of pre-preg systems

    • New Finite Element material model developed to predict consolidation

    • A range of industrially relevant cases showing wrinkle formation manufactured in controlled laboratory conditions

    • These form the basis to study the mechanisms and develop predictive models

    • Work has been extended to textile composites where weave pattern has a major influence on compaction behaviour

    Understanding and predicting wrinkle defect formation BackgroundWrinkle FormationCompaction TestsHyper-viscoelastic ModelTaper and Ply DropsSurface Step ChangeCorner RadiusGaps and overlapsTextile CompositesSummary