# Investigation of the Deformation Dependence of Polymer Films on Various Physical Factors

## TL;DR

This paper studies how polymer films deform under various physical factors and finds that radiation improves their elastic properties.

## Contribution

The study introduces new quadratic and exponential models to describe deformation behavior of polymer films under radiation and mechanical stress.

## Key findings

- Exponential models best describe deformation with R² = 0.985 for polyethylene.
- Irradiation increases elastic properties and return deformation due to molecular cross-linking.
- Analytical formulas for deformation rate and acceleration are derived considering temperature and radiation dose.

## Abstract

In this work, models of the deformation behavior of polymer films of polyethylene and polyvinyl chloride are developed and analyzed, taking into account the influence of thickness, mechanical stress, temperature, time and dose of electron and ion irradiation. Experimental studies included tensile tests of polyethylene films of different thicknesses irradiated with krypton ions and electrons, as well as measuring the return deformation and its rate. It is shown that the quadratic and exponential models best describe the dependences of deformation on stress. Analytical formulas for the rate and acceleration of deformation are obtained, taking into account the influence of temperature and radiation dose. The results demonstrate a significant increase in the elastic properties and return deformation of irradiated samples, which is explained by the cross-linking of macromolecules and changes in the molecular structure under the influence of radiation. The proposed models and formulas can be effectively used in the development of devices and systems for monitoring the deformation of polymeric materials under radiation exposure in the aerospace, nuclear and electronic industries. Using the statistical analysis method, it was shown that the exponential model describes the dynamics of polyethylene deformation with a determination coefficient R2 = 0.985, which significantly exceeds the accuracy of the linear model (R2 = 0.85).