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

被引：190
作者：
Oromiehie, Ebrahim [1 ]
Prusty, B. Gangadhara [1 ]
Compston, Paul [2 ]
Rajan, Ginu [3 ]
机构：
[1] UNSW Sydney, Sch Mech & Mfg Engn, ARC Training Ctr Automated Manufacture Adv Compos, Sydney, NSW 2052, Australia
[2] Australian Natl Univ, Coll Engn & Comp Sci, ARC Training Ctr Automated Manufacture Adv Compos, Canberra, ACT 2601, Australia
[3] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia
来源：
COMPOSITE STRUCTURES | 2019年 / 224卷
基金：
澳大利亚研究理事会;
关键词：
Automated fibre placement; Processing defects; In-situ condition monitoring and machine learning; SANDWICH COMPOSITES; RESIDUAL-STRESSES; BRAGG-GRATINGS; STRAIN; TEMPERATURE; STRENGTH; FBG; COMPRESSION; WAVINESS; SENSORS;
D O I：
10.1016/j.compstruct.2019.110987
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
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.
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页数：14
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