Determination of Best Foaming Parameters of Modified Asphalt Using Response Surface Analysis Method

Author(s):  
Wen Xiaobo ◽  
Wu Hao ◽  
Zhang Peng ◽  
Ding Fan
2013 ◽  
Vol 818 ◽  
pp. 92-97
Author(s):  
Jin Na Li ◽  
Yuan Li ◽  
Fang Liu ◽  
Sheng Ping Bie ◽  
Cheng Chi Tang ◽  
...  

This paper is concerned with the modeling of both endpoint temperature and carbon content for BOF steelmaking. First, a linear regression predictive model is constructed based on the linear regression analysis method. Next, the response surface analysis method is used to construct a nonlinear predictive model. The significant contribution of this paper is that response surface analysis is proposed for constructing the predictive model of BOF steelmaking. Finally, experiment simulation results show the effectiveness and advantages of the proposed methods.


1988 ◽  
Vol 34 (5) ◽  
pp. 954-957 ◽  
Author(s):  
C Flandrois ◽  
C Lahet ◽  
D Feldmann ◽  
J M Gabastou ◽  
A Gonnon ◽  
...  

Abstract Optimization of determination of alanine aminopeptidase in urine by univariate study led to a method involving pretreatment of urine with Sephadex G50. Re-examination of the optimization by multivariate study led us to recommend higher optimal concentrations: 5.8 mmol/L for the substrate and 300 mmol/L for the Tris buffer. Under these new conditions, pretreatment of urine was no longer necessary and the assay could be completely automated.


1976 ◽  
Vol 4 (5) ◽  
pp. 277-280
Author(s):  
Michael S Carey ◽  
Robert W Noyes ◽  
Samuel A Pasquale ◽  
John J Frey ◽  
John S Lawson

In Clinical pharmacological trials the determination of the optimum regimen for a drug using the technique of response surface analysis is proposed as being more advantageous than traditional analyses of dose response relationships. Major considerations in favour of this technique are that the optimum regimen can be identified with a minimum of human experimentation, and unacceptable regimens are eliminated from the study early, at a substantial saving of time and money.


Author(s):  
Turki Al-Khalifah ◽  
Abdul Aabid ◽  
Sher Afghan Khan ◽  
Muhammad Hanafi Bin Azami ◽  
Muneer Baig

Sign in / Sign up

Export Citation Format

Share Document