Hydration-dehydration behavior induced densification of porous plasma electrolysis coating

2019 ◽  
Vol 798 ◽  
pp. 220-226 ◽  
Author(s):  
Mosab Kaseem ◽  
Min Jun Kim ◽  
Young Gun Ko
Keyword(s):  
Plasma Electrolysis ◽  
Dehydration Behavior

Plasma electrolysis for surface engineering

1999 ◽  
Vol 122 (2-3) ◽  
pp. 73-93 ◽  
Author(s):  
A.L. Yerokhin ◽  
X. Nie ◽  
A. Leyland ◽  
A. Matthews ◽  
S.J. Dowey
Keyword(s):  
Surface Engineering ◽  
Plasma Electrolysis

scholarly journals Deposition of nano-crystalline graphite films by cathodic plasma electrolysis

2007 ◽  
Vol 515 (5) ◽  
pp. 2926-2934 ◽  
Author(s):  
T. Paulmier ◽  
J.M. Bell ◽  
P.M. Fredericks
Keyword(s):  
Plasma Electrolysis ◽  
Nano Crystalline ◽  
Cathodic Plasma ◽  
Crystalline Graphite

Preparation of Crumpled Graphite Oxide from Recycled Graphite Using Plasma Electrolysis and Its Application for Adsorption of Cadmium in Aqueous Environment

2016 ◽  
Vol 45 (5) ◽  
pp. 2472-2476
Author(s):  
Phan Ngoc Hong ◽  
Tran Thi Tuoi ◽  
Nguyen Thi Kim Ngan ◽  
Bui Thi Trang ◽  
Phan Ngoc Minh ◽  
...  
Keyword(s):  
Graphite Oxide ◽  
Aqueous Environment ◽  
Plasma Electrolysis

Study of the injected air flowrate on energy consumption for phenol degradation of wastewater by plasma electrolysis

2021 ◽  
Author(s):  
Jessica Zivanni Wahono ◽  
Harianingsih ◽  
Syarfina Farisah ◽  
Nelson Saksono
Keyword(s):  
Energy Consumption ◽  
Phenol Degradation ◽  
Plasma Electrolysis

scholarly journals Thin layer drying of zucchini in solar dryer located in Osmaniye region

2018 ◽  
Vol 12 (2) ◽  
pp. 79-85 ◽  
Author(s):  
Kamil Neyfel Çerçi ◽  
Özge Sufer
Keyword(s):  
Thin Layer ◽  
Linear Regression Analysis ◽  
Chi Square ◽  
Mathematical Expressions ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Drying System ◽  
Thin Layer Drying Models ◽  
Dehydration Behavior ◽  
And Diffusion

In this study, the dehydration behavior of zucchini using solar assisted drying system was examined according to 22 thin layer drying models available in literature. The correlation coefficient (R2), chi-square (χ2) and root mean square error (RMSE) values were calculated to check the suitability of models by non-linear regression analysis. It was found that Cubic and Modified Midilli-1 models were the most suitable equations and their R2 values were calculated as 0.99963. χ2 and RMSE values of related mathematical expressions were 1.89343×10‒5, 1.91692×10‒5 and 0.01685×10‒3, 0.01721×10‒3 respectively. In addition, heat transfer, mass transfer and diffusion coefficients, which were important parameters in design of drying systems were also determined as 5.18124 W/m2°C, 1.57129×10‒7 m/s and 2.335718×10‒9 m2/s respectively.

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