Production of W-based nanoparticles via spark erosion process along with their characterization and optimization for practical application in gas sensor
作者： Purushottam Kumar Singh , S Mondal , AK Das , Santosh Kr Mishra , DK Singh
DOI: 10.1007/S00339-019-3259-4
关键词:
摘要: Tungsten-based (W-based) nanoparticles are produced through electrochemical spark erosion process. In this investigation, the parametric effects of voltage, tool rotation and pulse on time production rate W-based analyzed. The shape size controlled proper controlling referred parameters. Small particles obtained with low voltage time, but high speed. ANN-predicted values study in close agreement observed experimental for all test formulations. It can be concluded that process optimization via ANN modeling has been found to very efficient determining performance linked devised neural network provided an average prediction error 1.52% training 3.78% case testing. formulated models predict results which results. used sensing NO2 CO2 gases.
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