Modeling of Distributions of Polymer Properties Using Parallel Computing in Matlab. II: Bivariate Distributions

PINTOS ESTEBAN; ASTEASUAIN MARIANO

Cancún

Congreso; XV Simposio Latinoamericano de Polímeros - XIII Congreso Iberoamericano de Polímeros (SLAP 2016); 2016

Sociedad Polimérica de México, A. C.

The polymer chain microstructure (molecular weight distribution, copolymer composition distribution, branching distribution, etc.) has a strong influence on the processing and end-use properties of the material. In many cases, a proper characterization of polymer samples requires simultaneous information on distributions of several properties. However, the development of mathematical models able to predict multivariate distributions leads to highly complex problems for which seldom solution approaches have been developed. In particular, large systems of differential-algebraic equations (DAE) are usually encountered. Therefore, model efficiency in terms of CPU time and memory requirements becomes a very significant issue.