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The Dielectric Constant of Ba(6−3x)(Sm(1−y)Nd(y))(8+2x)Ti(18)O(54) (x = 2/3) Ceramics for Microwave Communication by Linear Regression Analysis

The electronics related to the fifth generation mobile communication technology (5G) are projected to possess significant market potential. High dielectric constant microwave ceramics used as filters and resonators in 5G have thus attracted great attention. The Ba(6−3x)(Sm(1−y)Nd(y))(8+2x)Ti(18)O(54...

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Detalles Bibliográficos
Autores principales: He, Tiancheng, Lv, Caihuan, Li, Wenhao, Huang, Guohua, Hu, Zhihui, Xu, Jianmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765665/
https://www.ncbi.nlm.nih.gov/pubmed/33339159
http://dx.doi.org/10.3390/ma13245733
Descripción
Sumario:The electronics related to the fifth generation mobile communication technology (5G) are projected to possess significant market potential. High dielectric constant microwave ceramics used as filters and resonators in 5G have thus attracted great attention. The Ba(6−3x)(Sm(1−y)Nd(y))(8+2x)Ti(18)O(54) (x = 2/3) ceramic system has aroused people’s interest due to its underlying excellent microwave dielectric properties. In this paper, the relationships between the dielectric constant, Nd-doped content, sintering temperature and the density of Ba(6−3x)(Sm(1−y)Nd(y))(8+2x)Ti(18)O(54) (x = 2/3) ceramics were studied. The linear regression equation was established by statistical product and service solution (SPSS) data analysis software, and the factors affecting the dielectric constant have been analyzed by using the enter and stepwise methods, respectively. It is found that the model established by the stepwise method is practically significant with Y = −71.168 + 6.946x(1) + 25.799x(3), where Y, x(1) and x(3) represent the dielectric constant, Nd content and the density, respectively. According to this model, the influence of density on the dielectric constant is greater than that of Nd doping concentration. We bring the linear regression analysis method into the research field of microwave dielectric ceramics, hoping to provide an instructive for the optimization of ceramic technology.