Application of New Kinetic Techniques to the Lifetime Prediction of Polymers from Weight-Loss Data.

Abstract

Prediction of the lifetime of a polymer by extrapolation of weight-loss data is a tenuous procedure and a thorough analysis of the kinetics over a wide temperature range is a requisite. Several experimental methods and kinetic analytical techniques have been developed which are designed to overcome the problems of conventional methods. These include: (1) a factor-jump method in which a fully automated and minicomputer directed system calculates activation energies using one sample and a series of short, isothermal plateaus, this avoids complications from the comparison of samples with diverse properties and thermal histories. (2) a diagnostic test for the consistency of kinetic parameters over a broad region of temperature and conversion. (3) a comparison of experiments performed at constant heating rates from 6 K/min. to 9 K/day; this allows an insight into the mode of kinetic coupling of competing processes and better prediction of the dominant low-temperature process. (4) a detailed analysis of the kinetics of the first several percentages weight-loss at slow heating rates and low temperatures; many polymers lose their useful properties in this region. These methods are being applied to polystyrene and polyurethanes in vacuum, nitrogen, and nitrogen-oxygen mixtures. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA063060

Entities

People

  • Brian Dickens
  • Joseph H. Flynn

Organizations

  • National Institute of Standards and Technology

Tags

DTIC Thesaurus Topics

  • Arrhenius Equation
  • Biomedical And Dental Materials
  • Body Weight
  • Computer Programs
  • Computers
  • Dielectric Polymers
  • Energy
  • Equations
  • Films
  • Heat Of Activation
  • Low Temperature
  • Materials
  • Materials Science
  • Measurement
  • Physical Properties
  • Polymer Degradation
  • Polymers

Readers

  • Combustion science or combustion engineering.
  • Computational Modeling and Simulation
  • Systems Analysis and Design