DOI: 10.5281/zenodo.7991458
title: Data of "A Thermo-Mechanical, Viscoelasto-Plastic Model for Semi-Crystalline Polymers Exhibiting One-Way and Two-Way Shape Memory Effects Under Phase Change"

description: <strong>Id: Data of following publication</strong><br> <br> title = "A Thermo-Mechanical, Viscoelasto-Plastic Model for Semi-Crystalline Polymers Exhibiting One-Way and Two-Way Shape Memory Effects Under Phase Change",<br> journal = "",<br> pages = "",<br> year = "",<br> issn = "",<br> doi = "",<br> author = "Hasan Gulasik, Maxime Houbben, Clara Pereira Sànchez, Juan Manuel Calleja Vázquez, Philippe Vanderbemdec, Christine Jérôme, Ludovic Noels" Data doi on 10.5281/zenodo.7991458 <strong>General description</strong> The experimental results used in the BI are reported in [PEI21,PEI22]<br> If you use these data or model, we would be grateful if you could cite the related papers: [GUL23] H. Gulasik, M. Houbben, C. A. Pereira Sànchez, J. M. Calleja Vázquez, P. Vanderbemden, C. Jérôme, L. Noels, A Thermo-Mechanical, Viscoelasto-Plastic Model for Semi-Crystalline Polymers Exhibiting One-Way and Two-Way Shape Memory Effects Under Phase Change [HOU23] M Houbben, C. Pereira Sànchez, P. Vanderbemden, L. Noels, C. Jérôme, MWCNTs filled PCL covalent adaptable networks: Towards reprocessable, self-healing and fast electrically-triggered shape-memory composites, Polymer 278 (2023), 125992, https://doi.org/10.1016/j.polymer.2023.125992. [PEI22] C. A. Pereira Sanchez, M. Houbben, J.F. Fagnard, P. Harmeling, C. Jérôme, L. Noels, P. Vanderbemden, Experimental characterization of the thermo-electro-mechanical properties of a shape memory composite during electric activation. Smart Materials and Structures 31 (2022), 095029. https://dx.doi.org/10.1088/1361-665x/ac8297. [PEI21] C.A. Pereira Sanchez, M. Houbben, J.F. Fagnard, P. Laurent, C. Jérôme, L. Noels, P. Vanderbemden,Resistive heating of a shape memory composite: Analytical, numerical and experimental study. Smart Materials and Structures 31 (2021), 025003. https://dx.doi.org/10.1088/1361-665x/ac3ebd <strong>Software</strong><br> <br> Requires python3 with packages numpy, matplotlib, pandas<br> To run the model you need the open source code https://gitlab.onelab.info/cm3/cm3Libraries <strong>Files descriptions</strong> Directory experimentalTests : experimental measurements benchTests.xlsx gathers to the data of Figs. 12 and 13 Results_G05A_0C_65C_v2.xlsx gathers to the data of Figs. 6-9 S3CM3_Tests_Results_G05A_VF.xlsx gathers the data of Figs. 10-11 Files to run the tests runTests.py is used to launch all the simulations SMP_test.py is the model definition on the geometry cube.geo utils.py gathers different python functions results gather the results of the numerical simulations Cyclic_0: for Fig. 9 Cyclic_65: for Fig. 7 Cyclic_T: for Fig. 10 Expansion0: for Fig 12b Expansion600: for Fig. 12a Recovery_06: for Fig. 11 Recovery_10: for Fig. 11 Recovery_17: for Fig. 11 Recovery_Load: for Fig. 13 Files to plot the figures: Figs. 6 and 7: plotCyclic65.py Figs. 8 and 9: plotCyclic0bis.py Fig. 10: plotCyclicT.py Fig. 11: plotRecovery.py Fig. 12: plotExpansion.py Fig. 13: plotLoadRecovery.py
description: This research was funded through the "Actions de recherche concertées 2017-Synthesis, Characterization, and Multiscale Model of Smart Composite Materials (S3CM3) 17/21- 07", financed by the "Direction Générale de l'Enseignement non obligatoire de la Recherche scientifique, Direction de la Recherche scientifique, Communauté Française de Belgique et octroyées par l'Académie Universitaire Wallonie-Europe".