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SCS-Net:A DNN-based electromagnetic shielding effectiveness analysis method for slotted composite structures 被引量:1
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作者 Wanli DU Guangzhi CHEN +4 位作者 Ziang ZHANG Xinsong WANG Shunchuan YANG Xingye CHEN Donglin SU 《Chinese Journal of Aeronautics》 2025年第3期505-520,共16页
As the proportion of composite materials used in aircraft continues to increase, the electromagnetic Shielding Effectiveness (SE) of these materials becomes a critical factor in the electromagnetic safety design of ai... As the proportion of composite materials used in aircraft continues to increase, the electromagnetic Shielding Effectiveness (SE) of these materials becomes a critical factor in the electromagnetic safety design of aircraft structures. The assessment of electromagnetic SE for Slotted Composite Structures(SCSs) is particularly challenging due to their complex geometries and there remains a lack of suitable models for accurately predicting the SE performance of these intricate configurations. To address this issue, this paper introduces SCS-Net, a Deep Neural Network (DNN) method designed to accurately predict the SE of SCS. This method considers the impacts of various structural parameters, material properties and incident wave parameters on the SE of SCSs. In order to better model the SCS, an improved Nicolson-Ross-Weir (NRW) method is introduced in this paper to provide an equivalent flat structure for the SCS and to calculate the electromagnetic parameters of the equivalent structure. Additionally, the prediction of SE via DNNs is limited by insufficient test data, which hinders support for large-sample training. To address the issue of limited measured data, this paper develops a Measurement-Computation Fusion (MCF) dataset construction method. The predictions based on the simulation results show that the proposed method maintains an error of less than 0.07 dB within the 8–10 GHz frequency range. Furthermore, a new loss function based on the weighted L1-norm is established to improve the prediction accuracy for these parameters. Compared with traditional loss functions, the new loss function reduces the maximum prediction error for equivalent electromagnetic parameters by 47%. This method significantly improves the prediction accuracy of SCS-Net for measured data, with a maximum improvement of 23.88%. These findings demonstrate that the proposed method enables precise SE prediction and design for composite structures while reducing the number of test samples needed. 展开更多
关键词 Deep neural networkcs Measurement-computation fusion electromagnetic shielding effectiveness Slotted composite structures Structural paranmeters
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Effect of Y content on mechanical properties and electromagnetic interference shielding effectiveness of Mg-6Zn-xY-1La-0.5Zr alloy
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作者 Wen-long XU Xian-hua CHEN +3 位作者 Lu DENG Guan-zheng ZHU Yuan YUAN Fu-sheng PAN 《Transactions of Nonferrous Metals Society of China》 2025年第11期3677-3696,共20页
The impact of Y content on the microstructure,mechanical properties,and electromagnetic interference shielding effectiveness(EMI SE)of the Mg-6Zn-xY-1La-0.5Zr alloy was investigated.After the extrusion treatment of Mg... The impact of Y content on the microstructure,mechanical properties,and electromagnetic interference shielding effectiveness(EMI SE)of the Mg-6Zn-xY-1La-0.5Zr alloy was investigated.After the extrusion treatment of Mg-6Zn-xY-1La-0.5Zr alloy,the large grains that did not experience dynamic recrystallization were elongated along the extrusion direction,and the small-sized dynamic recrystallized grains were distributed around the large grains.The Mg-6Zn-1Y-1La-0.5Zr alloy demonstrated a favorable balance between strength and plasticity,exhibiting ultimate tensile strength,yield strength,and elongation values of 332.3 MPa,267.3 MPa,and 16.2%,respectively.Moreover,the EMI SE within the frequency range of 30-1500 MHz changes from 79 to 110 dB,aligning with the electromagnetic shielding requirements of many high-strength applications. 展开更多
关键词 Mg-Zn-Y-La-Zr alloys dynamic recrystallization microstructure mechanical properties electromagnetic interference shielding effectiveness
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Effect of heat treatment temperature on microstructure and electromagnetic shielding properties of graphene/SiBCN composites 被引量:2
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作者 Wei Yue Yongsheng Liu +2 位作者 Mingxi Zhao Fang Ye Laifei Cheng 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2019年第12期2897-2905,共9页
Three-dimensional(3D) graphene/SiBCN composites(GF/SiBCN) were prepared by depositing SiBCN ceramics in 3D graphene foam via the chemical vapor infiltration technique. The effect of the heat treatment temperature on t... Three-dimensional(3D) graphene/SiBCN composites(GF/SiBCN) were prepared by depositing SiBCN ceramics in 3D graphene foam via the chemical vapor infiltration technique. The effect of the heat treatment temperature on the microstructure, phase composition, and electromagnetic properties of the GF/SiBCN composite was investigated. The SiBCN ceramics maintained an amorphous structure in the composite below 1400℃ above which the crystallinity of the free carbon phase gradually increased.While the Si3N4 and B4C phases started to crystallize at 1500℃ and their crystallinity increased with temperature, SiC was observed at 1700℃. The electromagnetic shielding effectiveness of GF/SiBCN increased with the heat treatment temperature. 展开更多
关键词 Silicon-Boron carbonitride ceramics Chemical vapor deposition and infiltration Heat treatment electromagnetic shielding effectiveness
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Achieving Excellent Electromagnetic Interference Shielding Effectiveness in High Rare Earth Mg-12Gd-3Y alloy via Nd Addition Combined with Hot Rolling and Aging 被引量:3
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作者 Wenlong Xu Chang Su +2 位作者 Yuan Yuan Jingying Bai Xianhua Chen 《Acta Metallurgica Sinica(English Letters)》 SCIE EI CAS CSCD 2023年第10期1665-1679,共15页
Achieving excellent electromagnetic interference(EMI)shielding effectiveness(SE)in high rare earth(RE)-content Mg alloys is currently a significant technical challenge.This work systematically investigated the effects... Achieving excellent electromagnetic interference(EMI)shielding effectiveness(SE)in high rare earth(RE)-content Mg alloys is currently a significant technical challenge.This work systematically investigated the effects of different Nd elements on the electrical conductivity and EMI SE of Mg-12Gd-3Y-xNd alloy by adding Nd elements to the high RE content Mg-12Gd-3Y alloy,followed by a combined process of hot rolling and aging(R-A).The results indicate that the addition of Nd elements leads to reduced solid solubility of Gd and Y,resulting in a large amount of precipitation.The Mg-12Gd-3Y-2.0Nd alloy has the optimum EMI SE after 63%R-A treatment,reaching 88-118 dB at 30-1500 MHz.The Mg-12Gd-3Y-xNd alloy has acicular and granular forms of the Mg5(Gd,Y,Nd)(abbreviated as Mg5RE)phase after R-A treatment.The granular Mg5RE phase gradually breaks up and refines into more minor scales with increasing rolling reduction and is diffusely distributed in the matrix.The acicular Mg5RE phase is densely arranged,with cross-distribution in some areas.The cross-distributed acicular Mg5RE phase,the delicate granular Mg5RE phase,and the denseβ′phase provide more interfaces for reflecting electromagnetic waves and increase the multiple reflection loss of incident electromagnetic waves.In addition,the Mg-12Gd-3Y-xNd alloy deflects most of the c-axis of the grains parallel to the normal direction(ND)as the rolling reduction increases,making the impedance difference between the plate surface and air larger.The increased impedance makes the material reflect more loss to incident electromagnetic waves.The combined use of these two leads to an excellent EMI SE of Mg-12Gd-3Y-xNd with high RE content after R-A treatment. 展开更多
关键词 Mg-Gd-Y-Nd alloy Acicular phase Granular phase Electrical conductivity electromagnetic interference shielding effectiveness
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A transparent electromagnetic-shielding film based on one-dimensional metal–dielectric periodic structures 被引量:6
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作者 赵亚丽 马富花 +3 位作者 李旭峰 马江将 贾琨 魏学红 《Chinese Physics B》 SCIE EI CAS CSCD 2018年第2期540-546,共7页
In this study, we designed and fabricated optical materials consisting of alternating ITO and Ag layers. This approach is considered to be a promising way to obtain a light-weight, ultrathin and transparent shielding ... In this study, we designed and fabricated optical materials consisting of alternating ITO and Ag layers. This approach is considered to be a promising way to obtain a light-weight, ultrathin and transparent shielding medium, which not only transmits visible light but also inhibits the transmission of microwaves, despite the fact that the total thickness of the Ag film is much larger than the skin depth in the visible range and less than that in the microwave region. Theoretical results suggest that a high dielectric/metal thickness ratio can enhance the broadband and improve the transmittance in the optical range. Accordingly, the central wavelength was found to be red-shifted with increasing dielectric/metal thickness ratio. A physical mechanism behind the controlling transmission of visible light is also proposed. Meanwhile, the electromagnetic shielding effectiveness of the prepared structures was found to exceed 40 dB in the range from 0.1 GHz to 18 GHz, even reaching up to 70 dB at 0.1 GHz, which is far higher than that of a single ITO film of the same thickness. 展开更多
关键词 transparent shields electromagnetic shielding effectiveness optical transmittance metal–dielectric periodic structure
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Dielectric,Electromagnetic Interference Shielding and Absorption Properties of Si_3N_4-PyC Composite Ceramics 被引量:2
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作者 Xuan Hao Xiaowei Yin +1 位作者 Litong Zhang Laifei Cheng 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2013年第3期249-254,共6页
Pyrolytic carbon (PyC) was infiltrated into silicon nitride (Si3N4) ceramics by precursor infiltration and pyrolysis (PIP) of phenolic resin, and Ni nanoparticles were added into the phenolic resin to change the... Pyrolytic carbon (PyC) was infiltrated into silicon nitride (Si3N4) ceramics by precursor infiltration and pyrolysis (PIP) of phenolic resin, and Ni nanoparticles were added into the phenolic resin to change the electric conductivity of Si3N4-PyC composite ceramics. Dielectric permittivity, electromagnetic interference (EMI) shielding and absorption properties of Si3N4-PyC composite ceramics were studied as a function of Ni content at 8.2-12.4 GHz (X-band). When Ni nanoparticles were added into phenolic resin, the electric conductivity of the prepared composite ceramics decreased with increasing Ni content, which was attributed to the decrease of graphitization degree of PyC. The decrease in electric conductivity led to the decrease in both permittivity and EMI shielding effectiveness. Since too high permittivity is harmful to the impendence match and results in the strong reflection, the electromagnetic wave absorption property of Si3N4-PyC composite ceramics increases with increasing Ni content. When the content of Ni nanoparticles added into phenolic resin was 2 wt%, the composite ceramics possessed the lowest electric conductivity and displayed the most excellent absorption property with a minimum reflection loss as low as -28.9 dB. 展开更多
关键词 Si3N4-PyC Dielectric property electromagnetic interference shielding effectiveness Reflection loss
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EMI shielding effectiveness of silver nanoparticle-decorated multi-walled carbon nanotube sheets
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作者 Wenming Zhao Mei Li +1 位作者 Zhongyi Zhang Hua-Xin Peng 《International Journal of Smart and Nano Materials》 SCIE EI 2010年第4期249-260,共12页
With the aim of exploring the excellent properties of multi-walled carbon nanotubes(MWNTs)in modern composite technologies,various macrostructures of nanotubes have been developed from one to three dimensions,e.g.fibe... With the aim of exploring the excellent properties of multi-walled carbon nanotubes(MWNTs)in modern composite technologies,various macrostructures of nanotubes have been developed from one to three dimensions,e.g.fibers,networks,sheets(buckypapers)and pellets.The MWNT sheets discussed here were fabricated by a vacuum filtration procedure,a process that has potential for large-scale manufacturing.In order to further enhance the transport properties of MWNT sheets by reducing the contact resistance between nanotubes,highly conductive silver nanoparticles were introduced by an in situ photochemical reduction method.TEM analysis showed that highly acid-treated MWNTs dispersed in the presence of Triton X-100(TX-100)under UV light was a controllable processing method for preparation of a narrow size distribution of silver nanoparticles that were anchored onto the nanotubes.The free-standing MWNT/Ag nanohybrid sheets possessed a sharp increase in electrical conductivity from 27.7 to 40.0 S/cm,which consequently led to a much improved electromagnetic interference shielding effectiveness(SE).In principle,the SE could reach 3500 dB/cm with a thickness of 110µm,which matched the experimental results well.In addition,the nanohybrid sheets are robust and can be folded with a thickness of 30µm,which opens a promising way to integrate MWNT sheets into conventional composite laminates. 展开更多
关键词 carbon nanotube silver nanoparticle electromagnetic shielding effectiveness NANOHYBRID
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Electromagnetic shielding material database and machine learning preparing for laser cladding FeCo-based alloy
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作者 Luting Wang Suiyuan Chen +2 位作者 Xiancheng Zhu Zhiqing Fang Jing Liang 《Advances in Engineering Innovation》 2024年第2期55-59,共5页
The compilation and preprocessing of electromagnetic shielding material databases using machine learning techniques are pivotal in contemporary materials science and engineering.These materials play a crucial role in ... The compilation and preprocessing of electromagnetic shielding material databases using machine learning techniques are pivotal in contemporary materials science and engineering.These materials play a crucial role in diverse applications such as electronics,telecommunications,aerospace,and automotive industries,necessitating effective attenuation of electromagnetic interference(EMI).This paper underscores the significance of comprehensive databases in organizing material properties systematically,facilitating the identification of novel materials with enhanced shielding effectiveness.It explores the role of machine learning algorithms in predictive modeling and data analysis,expediting the screening process of candidate materials and uncovering hidden correlations within complex datasets.However,the efficacy of machine learning techniques relies heavily on the quality of input data and preprocessing steps.Thus,this paper discusses methodologies for collecting material data,challenges in data curation and integration,and common preprocessing techniques such as data cleaning,feature extraction,and normalization.The integration of electromagnetic shielding material databases with machine learning preprocessing holds great promise for FeCo-based alloy laser cladding manufacturing and design,leading to innovative solutions for electromagnetic interference mitigation across various technological domains. 展开更多
关键词 electromagnetic interference shielding effectiveness machine learning DATABASE functional materials
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