Automation of a procedure to find the polynomial which best fits (κ, c1, c2, T) data of electrolyte solutions by non-linear regression analysis using mathematica® software

2002 ◽  
Vol 26 (3) ◽  
pp. 253-264 ◽  
Author(s):  
E Cortazar ◽  
A Usobiaga ◽  
L.A Fernández ◽  
A de Diego ◽  
J.M Madariaga
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Electrolyte Solutions ◽  
Non Linear

Optimising the Production of Combined Filter/Sorption Composite Materials

2017 ◽  
Vol 44 (9) ◽  
pp. 51-58
Author(s):  
A.V. Genis ◽  
A.V. Kuznetsov ◽  
G.M. Il'yutkina ◽  
L.V. Polyakov
Keyword(s):  
Regression Analysis ◽  
Composite Materials ◽  
Linear Regression ◽  
Protective Clothing ◽  
Linear Regression Analysis ◽  
Physicomechanical Properties ◽  
Single Stage ◽  
Service Properties ◽  
Non Linear ◽  
Bonding Technology

The main relationships governing the production of combined filter/sorption materials by plying-up with the application of adhesive melts have been studied. It has been established that the use of single-stage bonding technology makes it possible to improve the physical and physicomechanical properties of multilayer non-woven mats. The possibility of optimising the plying-up process by using multiple non-linear regression analysis has been demonstrated. Materials with service properties suitable for use in protective clothing have been obtained.

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