scholarly journals Plasma concentration based response surface model predict better than effect-site concentration based model for wake-up time during gastrointestinal endoscopy sedation

2019 ◽  
Vol 118 (1) ◽  
pp. 291-298
Author(s):  
Jing-Yang Liou ◽  
Mei-Yung Tsou ◽  
Shinju Obara ◽  
Lu Yu ◽  
Chien-Kun Ting
Keyword(s):  
Plasma Concentration ◽  
Response Surface ◽  
Gastrointestinal Endoscopy ◽  
Response Surface Model ◽  
Surface Model ◽  
Effect Site ◽  
Effect Site Concentration ◽  
Better Than

Numerical Study on the Flash Gutter of Forging Die Using Response Surface Methodology

2010 ◽  
Vol 156-157 ◽  
pp. 1352-1355
Author(s):  
Yu Zhang ◽  
Zhi Guo An ◽  
Wei Li
Keyword(s):  
Genetic Algorithms ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Numerical Study ◽  
Design Method ◽  
Response Surface Model ◽  
Surface Model ◽  
Polynomial Response Surface ◽  
Forging Die ◽  
Better Than

Aiming at the lack of the traditional design method of the forging die, the response surface methodology based on design of experiments is proposed to optimize the parameters of flash gutter in forging die. According to the central composite inscribed experiment design, numerical simulation was carried out. On this basis, the quadratic polynomial response surface model was built by regressive analysis. The optimized flash gutter sizes are obtained by analyzing the response surface model with an objective of minimizing flash volume. The forging die of automobile flange has been studied as an illustration to validate the application of the response surface methodology. Finally, the comparison was done using genetic algorithms and the results show that the response surface methodology is better than the genetic algorithms with shorten time and better effect when the factor is small.

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