This study focuses on the design of polymer components considering their degradation under designed operating conditions in automobiles. We use stochastic and statistical methods to ensure that such components are reliable and robust. The behaviours of polymers are described using a viscoelastic model, and degradation properties of polymers are obtained from creep and tensile data that are acquired at various temperatures. Using the Maxwell fluid model, we calculate the Prony series, which estimates viscoelastic models based on creep data. By considering Prony coefficients that describe degradation characteristics, this approach generates stress data via a frequency-response analysis of polymer components in automobiles. These data are used to generate performance functions by the response surface method. We assess the reliability considering the variation of temperature-dependent degradation properties and the areas of the peak frequency. In this study, degraded properties and frequencies are assumed to have a normal distribution, and we evaluate the reliability and probability of failure under the yield strength criteria using a Monte Carlo simulation. We then compare the reliability and failure probabilities of the given polymers in an automotive component. Based on these comparisons, we suggest the most suitable polymeric materials for use in automotive applications.
|Number of pages||17|
|Journal||Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering|
|Publication status||Published - 2018 Nov 1|
Bibliographical noteFunding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Basic Science Research Programme through the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT & Future Planning (grant number 2017R1A2B4009606), by the Polymer Material Research Lab of Hyundai Motor Group, and by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of Republic of Korea (grant number 20163030024420).
© IMechE 2017.
All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Mechanical Engineering