PREDICTION OF HYSTERESIS OF A THERMOPLASTIC POLYURETHANE USING COARSE-GRAINED MOLECULAR DYNAMICS

被引:0
|
作者
Uddin, Md Salah [1 ]
Ju, Jaehyung [1 ]
机构
[1] Univ North Texas, Dept Mech & Energy Engn, Denton, TX 76203 USA
关键词
Hysteresis; thermoplastic polyurethane elastomer; molecular dynamics (MD) simulation; coarse grained (CG) model; rate-dependent; VIRIAL STRESS; RUBBER;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
We predict hysteresis of a thermoplastic polyurethane (TPU) varying the configurations and weight % of hard segments from 34.90% to 62.30% using coarse-grained molecular dynamics (CGMD) simulations. Rate-dependent stress-strain responses of the molecular models are justified between energy equivalence constitutive modeling and atomic viral stresses. Uniaxial cyclic loading (tension/compression) of the coarse-grained (CG) models are performed using NPT ensembles (isothermal-isobaric) at the atmospheric condition to ensure no stresses in the other two directions except the loading directions. Engineering stresses are estimated from atomic viral stresses at different frequencies and up to various strain levels, whereas areas under the stress-strain curves give the hysteresis loss under cyclic deformations. We correlate the hysteresis losses of all of the models with their bulk moduli and Poisson's ratios. By the end of the study, we may answer the following research questions: i) How much hysteresis loss increases due to increasing the weight% of hard segments from 34.90% to 62.30%? ii) How sensitive are the losses corresponding to strain amplitudes from 5% to 15% and frequencies from 1.67 x 10(11) Hz to 5.0 x 10(11) Hz? iii) In order to reduce the hysteresis loss, how much we have to compromise in bulk modulus and how much Poisson's ratio will be increased corresponding to that compensation. This molecular simulation tool can be used to design new rubber materials with better mechanical properties and lower hysteresis losses without the trial and error based experimental work.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Understanding the shape memory behavior of thermoplastic polyurethane elastomers with coarse-grained molecular dynamics simulations
    Md Salah Uddin
    Jaehyung Ju
    MRS Advances, 2017, 2 (6) : 375 - 380
  • [2] Multiconfigurational Coarse-Grained Molecular Dynamics
    Sharp, Morris E.
    Vazquez, Francisco X.
    Wagner, Jacob W.
    Dannenhoffer-Lafage, Thomas
    Voth, Gregory A.
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2019, 15 (05) : 3306 - 3315
  • [3] Reactive Coarse-Grained Molecular Dynamics
    Dannenhoffer-Lafage, Thomas
    Voth, Gregory A.
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2020, 16 (04) : 2541 - 2549
  • [4] Predicting Lipid Eutectics Using Coarse-Grained Molecular Dynamics
    Cordina, Robert J.
    Smith, Beccy
    Tuttle, Tell
    JOURNAL OF PHYSICAL CHEMISTRY B, 2023, 127 (47): : 10236 - 10242
  • [5] Coarse-grained molecular dynamics of PEGylated assemblies
    Loverde, Sharon M.
    Shinoda, Wataru
    Discher, Dennis E.
    Klein, Michael L.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2013, 245
  • [6] Coarse-grained protein molecular dynamics simulations
    Derreumaux, Philippe
    Mousseau, Normand
    JOURNAL OF CHEMICAL PHYSICS, 2007, 126 (02):
  • [7] Coarse-grained molecular dynamics of tau protein
    Robert-Jimenez, L.
    Figueroa-Gerstenmaier, S.
    Basurto-Islas, G.
    Herrera-Velarde, S.
    REVISTA MEXICANA DE FISICA, 2023, 69 (03)
  • [8] Coarse-grained molecular dynamics simulations of biomolecules
    Takahashi, Ken
    Oda, Takayuki
    Naruse, Keiji
    AIMS BIOPHYSICS, 2014, 1 (01): : 1 - 15
  • [9] Coarse-Grained Molecular Dynamics with Normalizing Flows
    Tamagnone, Samuel
    Laio, Alessandro
    Gabrie, Marylou
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2024, 20 (18) : 7796 - 7805
  • [10] Studying the mechanical behavior of a generic thermoplastic by means of a fast coarse-grained molecular dynamics model
    Doetschel, Vincent
    Pfaller, Sebastian
    Ries, Maximilian
    POLYMERS & POLYMER COMPOSITES, 2023, 31