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由核壳结构颗粒制成的网络结构BST/MBO复合材料。

Network-Structured BST/MBO Composites Made from Core-Shell-Structured Granulates.

作者信息

Häuser Kevin, Zhou Zhiren, Agrawal Prannoy, Jakoby Rolf, Maune Holger, Binder Joachim R

机构信息

IAM-ESS, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany.

IMP, Technical University of Darmstadt, 64283 Darmstadt, Germany.

出版信息

Materials (Basel). 2023 Jan 11;16(2):710. doi: 10.3390/ma16020710.

DOI:10.3390/ma16020710
PMID:36676447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9860829/
Abstract

A finite element method (FEM)-based simulation approach to predict the tunability in composite materials was developed and tested with analytical data. These tests showed good prediction capabilities of the simulation for the test data. The simulation model was then used to predict the tunability of a network-structured composite, where the dielectric phase formed clusters in a paraelectric network. This was achieved by simulating a reciprocal core-shell unit cell of said network. The simulation showed a high tunability for this network model, exceeding the tunability of the analytically evaluated layered, columnar, and particulate model. The simulation results were experimentally verified with a BaSrTiO/MgBO (BST/MBO) composite, where core-shell granulates were made with a two-step granulation process. These structured samples showed higher tunability and dielectric loss than the unstructured samples made for comparison. Overall, the structured samples showed higher tunability to loss ratios, indicating their potential for use in tunable radio frequency applications, since they may combine high performance with little energy loss.

摘要

开发了一种基于有限元方法（FEM）的模拟方法来预测复合材料的可调性，并使用分析数据进行了测试。这些测试表明该模拟对测试数据具有良好的预测能力。然后，该模拟模型被用于预测一种网络结构复合材料的可调性，其中介电相在顺电网络中形成簇。这是通过模拟所述网络的互易核壳单胞来实现的。模拟结果表明该网络模型具有较高的可调性，超过了经分析评估的层状、柱状和颗粒状模型的可调性。模拟结果通过BaSrTiO/MgBO（BST/MBO）复合材料进行了实验验证，其中核壳颗粒是通过两步造粒工艺制备的。这些结构化样品比用于比较的非结构化样品表现出更高的可调性和介电损耗。总体而言，结构化样品表现出更高的可调性与损耗比，表明它们在可调射频应用中的潜在用途，因为它们可以将高性能与低能量损耗相结合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/95b4fd32a1a7/materials-16-00710-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/dd58abccdd17/materials-16-00710-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/46cadc22b194/materials-16-00710-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/7c7efe28d577/materials-16-00710-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/95b4fd32a1a7/materials-16-00710-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/fdd9ac4459f5/materials-16-00710-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/e9e374c7e4ac/materials-16-00710-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/c470da073d99/materials-16-00710-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/81cd1493c1ad/materials-16-00710-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/d594500d18b6/materials-16-00710-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/b995786c6d1e/materials-16-00710-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/dd58abccdd17/materials-16-00710-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/46cadc22b194/materials-16-00710-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/7499a32dfd42/materials-16-00710-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/b253651fb254/materials-16-00710-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/7c7efe28d577/materials-16-00710-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/9860829/95b4fd32a1a7/materials-16-00710-g011.jpg

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