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Path Planning Based on Ply Orientation Information
for Automatic Fiber Placement on Mesh Surface
Jiazhi Pei
1
&Xiaoping Wang
1
&Jingyu Pei
1
&
Ya n g Ya n g
1
Received: 11 February 2018 / Accepted: 15 February 2018 /Published online: 10 March 2018
#Springer Science+Business Media B.V., part of Springer Nature 2018
Abstract This article introduces an investigation of path planning with ply orientation
information for automatic fiber placement (AFP) on open-contoured mesh surface. The new
method makes use of the ply orientation information generated by loading characteristics on
surface, divides the surface into several zones according to the ply orientation information and
then designs different fiber paths in different zones. This article also gives new idea of up-layer
design in order to make up for defects between parts and improve product’sstrength.
Keywords AFP.Pathplacement planning.Fiber placement .Ply orientation information .Mesh
surface
1 Introduction
Fiber reinforcement composite was born at 1960s, with high strength-to-weight ratio and
stiffness-to -weight ratio [1]. It was used widely in aerospace industries, because of its ideal
properties. However, the composite’s characteristics aren’t beneficial for processing, compared
with traditional structural material. Actually, many developed countries, such as America,
Germany, France, have largely used automated tape placement (ATP) and automatic fiber
placement (AFP) technology in producing fiber reinforced composite. In addition to ATP, AFP
[2–4] also provides more flexible ways to make fiber tows to be placed on mould surface using
so-called automated fiber placement machine.
In automatic fiber placement, path planning is one of the key technologies. It is also a quite
complicated process to implement, for which one must consider simultaneously many factors
such as fiber affordability, interference between placement head or compaction roller, geomet-
ric constraints, mechanical constraints and much more. This technology directly affects the
Appl Compos Mater (2018) 25:1477–1490
https://doi.org/10.1007/s10443-018-9678-0
*Jiazhi Pei
pei_jia_zhi@163.com
1
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and
Astronautics, Nanjing 210016, China
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