2023
DOI: 10.1016/j.triboint.2023.108667
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Development of knowledge management in investigating the rheological behavior of SiO2/SAE50 nano-lubricant by response surface methodology (RSM)

Hossein Hatami,
Rouhollah Tavallaee,
Morteza Sarbaz Karajabad
et al.
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Cited by 11 publications
(2 citation statements)
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“…RSM offers a cost-effective solution with minimal time requirements, making it an optimal choice for predicting laboratory data. By utilizing RSM, researchers can achieve desired results efficiently, enabling them to make informed decisions confidently [40][41][42][43]. The Response Surface Methodology is a set of statistical techniques used to model and analyze problems in which a response variable is influenced by other explanatory or independent variables.…”
Section: Methodsmentioning
confidence: 99%
“…RSM offers a cost-effective solution with minimal time requirements, making it an optimal choice for predicting laboratory data. By utilizing RSM, researchers can achieve desired results efficiently, enabling them to make informed decisions confidently [40][41][42][43]. The Response Surface Methodology is a set of statistical techniques used to model and analyze problems in which a response variable is influenced by other explanatory or independent variables.…”
Section: Methodsmentioning
confidence: 99%
“…The F-value and p-value of each model term were used as tools to evaluate each parameter's importance. The magnitude of the F-value was proportional to the effect of this factor on the response surface (Hatami et al, 2023;Latif et al, 2022). Table 3 demonstrated that the yield of the phlorizin-Zn (Ⅱ) complex was significantly influenced (p<0.05) by linear coefficients (X1, X3), cross coefficients (X1X2, X2X3), and quadratic coefficients  …”
Section: Optimization Of the Preparation Process By Rsm Experimental ...mentioning
confidence: 99%