为获得具有导电和半导体性能的传感器和执行器用三维杂化复合材料设计复合技术的研究

TEXTEH Proceedings Pub Date : 2019-11-05 DOI:10.35530/tt.2019.45

R. Aileni, L. Chiriac

{"title":"为获得具有导电和半导体性能的传感器和执行器用三维杂化复合材料设计复合技术的研究","authors":"R. Aileni, L. Chiriac","doi":"10.35530/tt.2019.45","DOIUrl":null,"url":null,"abstract":"In the paper are presented several aspects concerning the experimental preparation for \nsensors and actuators by using the factorial scheme based on independent and dependent variables \nand principal component analysis. The leading technologies envisaged are the classical ones \n(padding, coating, and printing) and advanced technologies such as RF plasma, microwave, and \n3D printing. PCA is a statistical procedure well known by researchers and is based on \northogonal transformation of the variables possible correlated into a set of variable linearly \nuncorrelated (PC). The resulting vectors are a linear combination of the variables and contain x \nobservation and represent an uncorrelated orthogonal set. Besides, in this paper are presented \nseveral technological flows for obtaining conductive or semiconductive 3D composite \nmaterials by using the standard and advanced technologies above mentioned","PeriodicalId":22214,"journal":{"name":"TEXTEH Proceedings","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RESEARCH ON DESIGNING COMPOSITE TECHNIQUES FOR \\nOBTAINING THE 3D HYBRID COMPOSITES WITH CONDUCTIVE \\nAND SEMICONDUCTIVE PROPERTIES FOR SENSORS AND \\nACTUATORS\",\"authors\":\"R. Aileni, L. Chiriac\",\"doi\":\"10.35530/tt.2019.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper are presented several aspects concerning the experimental preparation for \\nsensors and actuators by using the factorial scheme based on independent and dependent variables \\nand principal component analysis. The leading technologies envisaged are the classical ones \\n(padding, coating, and printing) and advanced technologies such as RF plasma, microwave, and \\n3D printing. PCA is a statistical procedure well known by researchers and is based on \\northogonal transformation of the variables possible correlated into a set of variable linearly \\nuncorrelated (PC). The resulting vectors are a linear combination of the variables and contain x \\nobservation and represent an uncorrelated orthogonal set. Besides, in this paper are presented \\nseveral technological flows for obtaining conductive or semiconductive 3D composite \\nmaterials by using the standard and advanced technologies above mentioned\",\"PeriodicalId\":22214,\"journal\":{\"name\":\"TEXTEH Proceedings\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TEXTEH Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35530/tt.2019.45\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TEXTEH Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35530/tt.2019.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文介绍了利用基于自变量、因变量和主成分分析的析因方案进行传感器和执行器实验准备的几个方面。设想的领先技术是经典技术(填充、涂层和打印)和先进技术，如射频等离子体、微波和3D打印。主成分分析是研究人员所熟知的一种统计方法，它是将可能相关的变量正交变换成一组线性不相关的变量。结果向量是变量的线性组合，包含x观测值，并表示不相关的正交集。此外，本文还介绍了利用上述标准技术和先进技术制备导电或半导体三维复合材料的几种工艺流程

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

RESEARCH ON DESIGNING COMPOSITE TECHNIQUES FOR OBTAINING THE 3D HYBRID COMPOSITES WITH CONDUCTIVE AND SEMICONDUCTIVE PROPERTIES FOR SENSORS AND ACTUATORS

In the paper are presented several aspects concerning the experimental preparation for sensors and actuators by using the factorial scheme based on independent and dependent variables and principal component analysis. The leading technologies envisaged are the classical ones (padding, coating, and printing) and advanced technologies such as RF plasma, microwave, and 3D printing. PCA is a statistical procedure well known by researchers and is based on orthogonal transformation of the variables possible correlated into a set of variable linearly uncorrelated (PC). The resulting vectors are a linear combination of the variables and contain x observation and represent an uncorrelated orthogonal set. Besides, in this paper are presented several technological flows for obtaining conductive or semiconductive 3D composite materials by using the standard and advanced technologies above mentioned

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

TEXTEH Proceedings

自引率

0.00%

发文量