Use of Monte-Carlo Simulations in Polyurethane Polymerization Processes

Abstract

The processing of thermoset energetic polymers involves operations in which a polymerization of initial prepolymer is observed. This chemical reaction brings an important increase of the molecular weight of the polymer. Consequently, the rheological properties of the material are also affected by this curing phenomenon. The extent .of this reaction, as well as the type of polymer used, often determine the magnitude of these changes and their effect on the quality of the end-product being processed. ., order to optimize the processing window of polyurethane-based formulations, the polymerization reaction has been modeled by Monte-Carlo simulations. for this end, a numerical code has been developed in ANSI Fortran 77 that allows the simulation of A2+B2 polymerization with provision for unequal reactivity of the reaction sites. Simulations have been earned out on HTPB-TDI, PPG-HDI and GAP-IPDI systems. A limited experimental validation has confirmed the validity of the molecular weight distributions calculated by the software. The information obtained from these simulations should provide a mean to estimate the material functions of the polymer during the mixing and the casting of a formulation. Minor modifications to the algorithm will enable the simulation of more complex An+Bn systems.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1995
Accession Number
ADA637696

Entities

People

  • Charles Dubois

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Biomedical And Dental Materials
  • Chemical Analysis
  • Chemical Engineering
  • Chemical Reactions
  • Chemistry
  • Composite Materials
  • Macromolecules
  • Material Degradation Processes
  • Materials
  • Materials Laboratories
  • Materials Processing
  • Materials Science
  • Materials Testing
  • Operating Systems
  • Polymer Chemistry
  • Polymerization
  • Polymers

Fields of Study

  • Materials science

Readers

  • Computational Modeling and Simulation
  • Polymer Science and Technology
  • Systems Analysis and Design