1. Characterization of loading, relaxation, and recovery behaviors of high-density polyethylene using a three-branch spring-dashpot model
- Author
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Shi, Furui and Jar, P.-Y. Ben
- Subjects
Numerical analysis -- Analysis ,Polyethylene -- Analysis ,Simulation methods -- Analysis ,Engineering and manufacturing industries ,Science and technology - Abstract
This paper presents an analysis of the stress evolution of high-density polyethylene (HDPE) at loading, relaxation, and recovery stages in a multirelaxation-recovery (RR) test. The analysis is based on a three-branch springdashpot model that uses the Eyring's law to govern the viscous behavior. The spring-dashpot model comprises two viscous branches to represent the shortand long-term time-dependent stress responses to deformation, and a quasistatic branch to represent the time-independent stress response. A fast numerical analysis framework based on genetic algorithms was developed to determine values for the model parameters so that the difference between the simulation and the experimental data could be less than 0.08 MPa. Using this approach, values of the model parameters were determined as functions of deformation and time so that the model can simulate the stress response at loading, relaxation, and recovery stages of the RR test. The simulation also generated 10 sets of model parameter values to examine their consistency. The study concludes that the three-branch model can serve as a suitable tool for analyzing the mechanical properties of HDPE, and values for the model parameters can potentially be used to characterize the difference among PEs for their mechanical performance. Highlights * Developed computer programs to determine parameter values automatically. * Explained the unusual stress drop during stress recovery after unloading. * Evaluated the statistical range of the parameter values for the good fitting. KEYWORDS deformation mechanism, modeling, polyethylene, recovery, relaxation, 1 | INTRODUCTION Semi-crystalline polymers (SCP) such as polyethylene (PE) have long been used in industries due to their advantages in the physical and chemical properties. (1) The microstructure of [...]
- Published
- 2024
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