TY - JOUR
T1 - Broadband radar absorbing composites
T2 - Spatial scale effect and environmental adaptability
AU - Zhang, Zhong
AU - Wang, Changxian
AU - Yang, Haiyang
AU - Wang, Panding
AU - Chen, Mingji
AU - Lei, Hongshuai
AU - Fang, Daining
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/9/8
Y1 - 2020/9/8
N2 - Radar absorbing structures with multiple resistive frequency selective surfaces (FSSs) are of great potential in the aerospace and marine fields. However, reliable theoretical prediction models of multilayer circuit-analog (CA) absorbers together with proper optimizing programs have not yet well been established despite the large number of reported investigations. Herein, a precise and comprehensive optimization method was proposed for the design of lightweight and broadband absorbing structures based on improved genetic algorithm. To this end, the spatial scale effect of the entire structures and interlayer interference effects between FSS films were firstly considered. Several absorbing sandwich structures composed of fiber-reinforced epoxy facesheets, polyvinyl chloride (PVC) foam and FSS films with square patterns of various periods were then fabricated. The environmental adaptabilities of the as-obtained absorbing structures were assessed through electromagnetic and load-bearing experimental tests under different ambient temperatures and marine corrosion durations. The optimized absorbing sandwich structures displayed ultra-broadband absorbing capabilities from 2 to 17 GHz and average bending strength of 80 MPa. The influence of ambient temperature on absorbing capability was slight due to the thermostability of carbon conductive ink. In addition, degeneration effect of marine corrosion on the absorbing capability was initially severe but tended to stabilize as corrosion process proceeded. The results of this study provide a useful guideline for the design of integrated multi-functional absorbing composite structures for actual applications.
AB - Radar absorbing structures with multiple resistive frequency selective surfaces (FSSs) are of great potential in the aerospace and marine fields. However, reliable theoretical prediction models of multilayer circuit-analog (CA) absorbers together with proper optimizing programs have not yet well been established despite the large number of reported investigations. Herein, a precise and comprehensive optimization method was proposed for the design of lightweight and broadband absorbing structures based on improved genetic algorithm. To this end, the spatial scale effect of the entire structures and interlayer interference effects between FSS films were firstly considered. Several absorbing sandwich structures composed of fiber-reinforced epoxy facesheets, polyvinyl chloride (PVC) foam and FSS films with square patterns of various periods were then fabricated. The environmental adaptabilities of the as-obtained absorbing structures were assessed through electromagnetic and load-bearing experimental tests under different ambient temperatures and marine corrosion durations. The optimized absorbing sandwich structures displayed ultra-broadband absorbing capabilities from 2 to 17 GHz and average bending strength of 80 MPa. The influence of ambient temperature on absorbing capability was slight due to the thermostability of carbon conductive ink. In addition, degeneration effect of marine corrosion on the absorbing capability was initially severe but tended to stabilize as corrosion process proceeded. The results of this study provide a useful guideline for the design of integrated multi-functional absorbing composite structures for actual applications.
KW - Environmental adaptability
KW - Mechanical properties
KW - Microwave absorbing metastructures
KW - Multi-layer absorbers
KW - Optimal design
UR - http://www.scopus.com/inward/record.url?scp=85086359031&partnerID=8YFLogxK
U2 - 10.1016/j.compscitech.2020.108262
DO - 10.1016/j.compscitech.2020.108262
M3 - Article
AN - SCOPUS:85086359031
SN - 0266-3538
VL - 197
JO - Composites Science and Technology
JF - Composites Science and Technology
M1 - 108262
ER -