rough draft for abstract

2
Rough draft for abstract  The solvation of strong acids in water makes leads to high amount of dissociation, thus causing a large dip in vapour pressure when compared to the one calculated by Raoult’s Law. Thus, for such electrolyte solutions many theories were developed in order to predict their activity coecients. The Debye !uckel theory and "it#er theory are commonly used for this purpose. $y work was based on predicting the activity coecient of !%l and !& a'ueous solutions. & compared the predictions with e(perimental data so as to )nd out paratmeters of each solutions. The prediction was )rst done for isothermal data, in which & achieved a real good )t for both the solutions. *or this prediction & used the $+ (cel solver to obtain parameters for !%l solution. The found parameters we re similar to the ones cited in papers by pit#er in his papers. The parameter estimation for isothermal data was done using the g"R-$+ model builder software, giving results very close to e(perimental data. fter which & started looking temperature variance of these par ameters. This prediction was )rst tried on both g"R-$+ and $+ (cel which did not return any solutions. Thus, & learnt $ TL/ for this purpose.

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Page 1: Rough Draft for Abstract

7/23/2019 Rough Draft for Abstract

http://slidepdf.com/reader/full/rough-draft-for-abstract 1/1

Rough draft for abstract

 The solvation of strong acids in water makes leads to high amount of

dissociation, thus causing a large dip in vapour pressure when compared to the

one calculated by Raoult’s Law. Thus, for such electrolyte solutions manytheories were developed in order to predict their activity coecients. The Debye

!uckel theory and "it#er theory are commonly used for this purpose. $y work

was based on predicting the activity coecient of !%l and !& a'ueous solutions. &

compared the predictions with e(perimental data so as to )nd out paratmeters of 

each solutions. The prediction was )rst done for isothermal data, in which &

achieved a real good )t for both the solutions. *or this prediction & used the $+

(cel solver to obtain parameters for !%l solution. The found parameters were

similar to the ones cited in papers by pit#er in his papers. The parameter

estimation for isothermal data was done using the g"R-$+ model builder

software, giving results very close to e(perimental data. fter which & started

looking temperature variance of these parameters. This prediction was )rst triedon both g"R-$+ and $+ (cel which did not return any solutions. Thus, & learnt

$TL/ for this purpose.