A Monte Carlo sampling algorithm fur the simulation of molecular structural
evolution in a random crosslinking process of polymer-polyfunctional monom
er (PFM) systems is proposed. Combining a simple gel content experiment wit
h this algorithm, various important property changes in a tandem crosslinki
ng reaction, such as molecular weight distribution, location of gel points,
crosslinking density within sol and gel fractions, PFM molecular density w
ithin sol and gel fractions, etc., can be fully explored. A virtual polymer
-PFM system with a very narrow initial molecular weight distribution and a
commercial low density polyethylene-triallyl cyanurate system have been use
d to demonstrate the application of this algorithm. The implications of the
simulated results were also discussed. (C) 2000 Elsevier Science Ltd. All
rights reserved.