Further research on the improvement of models and computer programs for the prediction and analysis of the physical properties of polymers
T.A. Matseevich‡b aNesmeyanov Institute of Organoelement Compounds of the Russian Academy of Sciences, Vavilova st. 28, Moscow, 119991, Russian Federation bMoscow State University of Civil Engineering, Yaroslavskoe shosse 26, Moscow, 129337, Russian Federation
Investigations carried out in recent years on the development of models and computer programs for predicting and analyzing the physical properties of polymers are described. The method for constructing diagrams of compatibility of water permeability and the glass transition temperature, density, the thermal expansion coefficient, the cohesion energy, etc. is analyzed. Computer synthesis of network polymers and the possibility of predicting the thermal expansion coefficient of materials based on polyvinyl chloride and the elastic modulus of composites with a number of aromatic polymers are considered. The effect of a solvent (plasticizer) on strength and vis„cosity is analyzed. Considerable attention is paid to the use of self-oscillations excited during deformation of polymer films in actuators of nanomechanical devices. The calculation of the viscosity of dispersions of spherical nanoparticles with an adsorption polymer layer in a polymer melt and in a low-molecular liquid is carried out. The principles of predicting the coefficients of molecular packing of amorphous-crystalline polymers and their solvents are stated, and the influence of the chemical structure of heat-resistant thermoplastics on friction against steel is also estimated.
Keywords: diagrams of compatibility of physical properties of polymers, computer synthesis of network polymers, glass transition temperature, cohesion energy, water permeability, thermal expansion coefficient, actuators of nanomechanical devices, strength and viscosity of plasticized polymers, molecular packing coefficients, friction coefficients PACS:82.35.Lr, 82.35.Np, 83.80.Tc (all) DOI:10.3367/UFNe.2021.12.039124 URL: https://ufn.ru/en/articles/2023/6/c/ 001112624000003 2-s2.0-85182911172 2023PhyU...66..586A Citation: Askadskii A A, Matseevich T A "Further research on the improvement of models and computer programs for the prediction and analysis of the physical properties of polymers" Phys. Usp.66 586–627 (2023)
TI Further research on the improvement of models and computer programs for the prediction and analysis of the physical properties of polymers
AU Askadskii, A. A.
AU Matseevich, T. A.
JA Phys. Usp.
Received: 9th, September 2021, revised: 22nd, November 2021, accepted: 1st, December 2021