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Study On Preparation And Performance Of Electric Heating Carbon Nanofiber Composite

Posted on:2023-03-11Degree:MasterType:Thesis
Country:ChinaCandidate:H D HuangFull Text:PDF
GTID:2531306851986859Subject:Materials Processing Engineering
Abstract/Summary:PDF Full Text Request
The traditional heating method is to convert chemical energy into thermal energy.During the conversion process,pollutants such as carbon dioxide are generated,which not only pollutes the environment,but also affects the health of the people to a certain extent.Therefore,various new heating methods have gradually become a research hotspot.In this paper,polyacrylonitrile-based carbon nanofibers are used as carriers,and various nano-carbon materials are used as conductive additives to prepare electric heating carbon nano-fiber composites through electrospinning technology.Use scanning electron microscopy(SEM),infrared spectroscopy(FTIR),Raman spectrometer(RAMAN),physical adsorption(BET),surface temperature tester and other characterization methods to explore the electrothermal performance and other properties of the electrothermal carbon nanofiber composite material.On the basis of the optimal doping amount,the influence of additive content and carbonization temperature on its performance is explored,and the main conclusions are as follows:(1)Using carbon nanofibers(CNF)as the carrier and graphene oxide(GO)as the conductive additive,r GO/CNF was prepared by electrospinning technology and heat treatment(GO was transformed into reduced graphene oxider(r GO)at high temperature).The conductivity of r GO/CNF gradually increases with the increase of graphene oxide content.The conductivity of r GO/CNF with 5 wt% graphene oxide is 2.2 times higher than that of undoped graphene oxide.The conductivity of CNF gradually increases with the increase of carbonization temperature.When the graphene oxide content is 5wt%,the carbonization temperature is 1000°C,the loading voltage is 21 V,and the loading current is0.51 A,the surface temperature of r GO/CNF can reach up to 251.9°C.r GO/CNF has excellent chemical stability and mechanical reliability.After 250 times of folding or immersion in concentrated sulfuric acid for 250 h,the conductivity of r GO/CNF does not change much.(2)Using carbon nanofibers as a carrier and carbon black(CB)as an additive,CB/CNF is prepared by electrospinning technology.Because of the holes formed by fibers and fibers,CB/CNF has excellent oil absorption performance,and the oil absorption performance of CB/CNF shows an upward trend with the increase of carbonization temperature,when the carbonization temperature is 1100°C(CB content is 5wt%)When the oil absorption capacity of CB/CNF is 1433.3%.The conductivity of CB/CNF increases with the increase of CB content and carbonization temperature.When the carbonization temperature is 1000℃(carbon black content is 5wt%),the loading voltage is 31 V,and the loading current is 0.66 A,the CB/CNF The surface temperature can reach up to 234.1℃.(3)OLC/CNF Precursor is prepared by electrospinning technology with carbon nanofibers as carrier and onion carbon(OLC)as additives,which can be used as different functional masks by adding different kinds of essences.After pre-oxidation,it is called OLC/CNF Intermediate,and it is found that it has excellent adsorption capacity for cationic dye(methylene blue)(0.01 g OLC/CNF Intermediate is added to 100 m L 10mg/L methylene blue solution after 360 min,the adsorption rate can reach 83.1%).Finally,after high-temperature carbonization,the OLC/CNF is obtained.The conductivity of the OLC/CNF with a content of 20wt% is 1.5 times that of the undoped OLC,and the OLC/CNF with a doping amount of 5wt% can maintain excellent mechanical properties.And when the carbonization temperature is 1100℃(onion carbon content is 20 wt%),the loading voltage is 30 V,and the loading current is 2.79 A,the surface temperature of OLC/CNF can reach up to 588.4℃.
Keywords/Search Tags:Electrospinning, Carbon nanofiber, Graphene oxide, Carbon black, Onion carbon, Electrothermal conversion
PDF Full Text Request
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