Numerical methods for solving two-dimensional aggregation population balance equations

dc.contributor.authorKumar, Rajesh
dc.date.accessioned2023-08-11T09:15:03Z
dc.date.available2023-08-11T09:15:03Z
dc.date.issued2011-06
dc.description.abstractThe cell average technique (CAT) and the fixed pivot (FP) method for solving two-dimensional aggregation population balance equations using a rectangular grid were implemented in Kumar et al. (2008). Recently, Chakraborty and Kumar (2007) have studied the FP scheme for the same problem on two different types of triangular grids and found that the method shows better results for number density as compared to the rectangular grids. However, they did not discuss the results for higher moments. Therefore, our first aim in this work is to compare different moments calculated by the FP technique on rectangular and triangular meshes with the analytical moments. Further we introduce a new mathematical formulation of the CAT for the two different types of triangular grids as considered by Chakraborty and Kumar (2007). The new formulation is simple to implement and gives better accuracy as compared to the rectangular grids. Three different test problems are considered to analyze the accuracy of both schemes by comparing the analytical and numerical solutions. The new formulation shows good agreement with the analytical results for number density and higher moments.en_US
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0098135410002930
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11322
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectMathematicsen_US
dc.subjectPopulation balanceen_US
dc.subjectAggregationen_US
dc.subjectCell averageen_US
dc.subjectFixed pivoten_US
dc.subjectParticleen_US
dc.titleNumerical methods for solving two-dimensional aggregation population balance equationsen_US
dc.typeArticleen_US

Files

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: