<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Younès Saadallah, Semcheddine Derfouf &amp; Belhi Guerira</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">&amp;ldquo;A viscoelastic-viscoplastic model for a thermoplastic and sensitivity of its rheological parameters to the strain-rate&amp;rdquo;</style></title><secondary-title><style face="normal" font="default" size="100%">Frattura ed Integrità Strutturale</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">DOI: 10.3221/IGF-ESIS.49.60</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">13 N° 49</style></volume><pages><style face="normal" font="default" size="100%">666-675</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The behavior of thermoplastics depends on several factors,&amp;nbsp;mainly time and temperature. The present work is focused on an analysis of&amp;nbsp;the time sensitivity of the viscoelastic and viscoplastic parameters of a&amp;nbsp;rheological model. The material considered in this study is a polyamide 6. The&amp;nbsp;analogical model is represented by the Kelvin-Voigt viscoelastic mechanism&amp;nbsp;mounted in series with a viscoplastic branch of Bingham. After a&amp;nbsp;mathematical formulation of the equations governing the model, tensile tests&amp;nbsp;at different strain rates are conducted. The model parameters are then&amp;nbsp;identified by inverse analysis. The technique of genetic algorithms has been&amp;nbsp;favored. A nonlinear dependence of these parameters on the rate of strain has&amp;nbsp;been observed. The dependence function has been established by a nonlinear&amp;nbsp;regression technique. The comparison of the experimental results with those&amp;nbsp;obtained by the model reveals a satisfactory agreement, hence the validation&amp;nbsp;of the approach adopted.</style></abstract><issue><style face="normal" font="default" size="100%">July 2019</style></issue></record></records></xml>