RESEARCH ON DESIGNING COMPOSITE TECHNIQUES FOR
OBTAINING THE 3D HYBRID COMPOSITES WITH CONDUCTIVE
AND SEMICONDUCTIVE PROPERTIES FOR SENSORS AND
ACTUATORS
{"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}
引用次数: 0
Abstract
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