Preparation of chitosan/zinc oxide/Melissa officinalis essential oil nano-composite film and evaluation of physical, mechanical and antimicrobial properties by response surface method

2019 ◽  
Vol 79 ◽  
pp. 106004 ◽  
Author(s):  
Iraj Karimi Sani ◽  
Sajad Pirsa ◽  
Şeref Tağı
Keyword(s):  
Zinc Oxide ◽  
Essential Oil ◽  
Composite Film ◽  
Response Surface ◽  
Response Surface Method ◽  
Antimicrobial Properties ◽  
Melissa Officinalis ◽  
Nano Composite ◽  
Surface Method

Forecasting and Optimization of the Viscosity of Nano-oil Containing Zinc Oxide Nanoparticles Using the Response Surface Method and Sensitivity Analysis

2020 ◽  
Vol 142 (11) ◽  
Author(s):  
Yuanzhou Zheng ◽  
Shuaiqi Wang ◽  
Annunziata D’Orazio ◽  
Arash Karimipour ◽  
Masoud Afrand
Keyword(s):  
Sensitivity Analysis ◽  
Zinc Oxide ◽  
Response Surface ◽  
Response Surface Method ◽  
Zinc Oxide Nanoparticles ◽  
Volume Fraction ◽  
Good Prediction ◽  
Surface Method ◽  
Nano Lubricant ◽  
New Generation

Abstract In the current paper, the behavior of zinc oxide/SAE50 nano lubricant as a part of the new generation of coolants and lubricants is examined using response surface method (RSM). The data used in this study were viscosity at dissimilar volume concentrations (0–1.5%) and temperatures (5–50 °C) for dissimilar shear rate values. Therefore, sensitivity analysis based on variation of nanoparticle (NP) concentration and temperature was also implemented. The findings revealed that enhancing the volume fraction (φ) exacerbates the viscosity sensitivity to temperature. Given the noteworthy deviance between the experimental viscosity and the data forecasted by existing classical viscosity correlations, a novel regression model is gained. R2 and adj-R2 for this model were calculated as 0.9966 and 0.9965, respectively, which represent a very good prediction with a standard deviation of 3%.

A Proposal of PSO with Presumption Function of the Solution Landscape by Response Surface Method

2014 ◽  
Vol 134 (9) ◽  
pp. 1293-1298
Author(s):  
Toshiya Kaihara ◽  
Nobutada Fuji ◽  
Tomomi Nonaka ◽  
Yuma Tomoi
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Surface Method
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