Abstract

A challenge in the field of polymer network synthesis by a step-growth mechanism is the quantification of the relative importance of inter- vs. intramolecular reactions. Here we use a matrix-based kinetic Monte Carlo (kMC) framework to demonstrate that the variation of the chain length distribution and its averages (e.g., number average chain length xn), are largely affected by intramolecular reactions, as mostly ignored in theoretical studies. We showcase that a conventional approach based on equations derived by Carothers, Flory and Stockmayer, assuming constant reactivities and ignoring intramolecular reactions, is very approximate, and the use of asymptotic limits is biased. Intramolecular reactions stretch the functional group (FG) conversion range and reduce the average chain lengths. In the likely case of restricted mobilities due to diffusional limitations because of a viscosity increase during polymerization, a complex xn profile with possible plateau formation may arise. The joint consideration of stoichiometric and non-stoichiometric conditions allows the validation of hypotheses for both the intrinsic and apparent reactivities of inter- and intramolecular reactions. The kMC framework is also utilized for reverse engineering purposes, aiming at the identification of advanced (pseudo-)analytical equations, dimensionless numbers and mechanistic insights. We highlight that assuming average molecules by equally distributing A and B FGs is unsuited, and the number of AB intramolecular combinations is affected by the number of monomer units in the molecules, specifically at high FG conversions. In the absence of mobility constraints, dimensionless numbers can be considered to map the time variation of the fraction of intramolecular reactions, but still, a complex solution results, making a kMC approach overall most elegant.

Highlights

  • Step-growth polymerization involves gradual ligation reactions between either bifunctional or multifunctional components with the possible liberation of small molecules, such as water and alcohol [1]

  • For step-growth network synthesis with Af (f > 2) and B2 (ρ = 1), Equation (9), which reflects the variation of xn as a function of pA without intramolecular reactions and diffusional limitations, thereby considering only intermolecular reactivities, results in a vertical asymptote located at p∗A = 1f + 2r

  • This value represents the maximal A functional group (FG) conversion that can be obtained without the presence of ring formation due to intramolecular reactions

Read more

Summary

Introduction

Step-growth polymerization involves gradual ligation reactions between either bifunctional or multifunctional components with the possible liberation of small molecules, such as water and alcohol [1]. In the work of Kumar et al [73,74], next to the gel point, the CLD has been calculated in the presence of intramolecular reactions for the polymerization of Af -type monomers with themselves In their kinetic model based on integrating continuity equations, they defined Pp,x as the species having chain length x with p intramolecular bonds, and the rate coefficient for the intramolecular reaction was determined using the percolation theory [56]. With the recent advent of matrix-based kinetic Monte Carlo (kMC) simulations, it is possible to explicitly track the connectivities of (co)monomer units [92,93,94,95], allowing the calculation of time-dependent CLDs, differentiating between the contribution of linear and branched/crosslinked species, and acknowledging the apparent nature of rate coefficients Such high-level modeling platforms facilitate reverse engineering, in which the model output can be compared with simplified but pragmatic theories that consist only of a limited number of equations.

Kinetic Monte Carlo Modeling Details
Results and Discussion
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call