SEMINAR ABSTRACT:
Shape Memory Polymers (SMPs) are a class of materials able to store a temporary shape and to recover their original (permanent) shape upon an external stimulus (heat, water, light, electrical current, etc.). Application of shape-memory effect of 3D-printed objects is named 4D printing, which enables the use of "smart" materials with the fourth dimension referring to time.
Main focus of the seminar is a constitutive modelling of time- and temperature-dependent behavior for thermoplastic polymers using a rheological model and its implementation in finite element scope for stress-strain state estimation. Modelling approach for the shape memory effect in polymers will also be covered during the seminar.
Shape Memory Polymers (SMPs) are a class of materials able to store a temporary shape and to recover their original (permanent) shape upon an external stimulus (heat, water, light, electrical current, etc.). Application of shape-memory effect of 3D-printed objects is named 4D printing, which enables the use of "smart" materials with the fourth dimension referring to time.
Main focus of the seminar is a constitutive modelling of time- and temperature-dependent behavior for thermoplastic polymers using a rheological model and its implementation in finite element scope for stress-strain state estimation. Modelling approach for the shape memory effect in polymers will also be covered during the seminar.
Oleg Volgin is a 3rd year PhD student at Skoltech. He graduated from Computational Engineering Department of Friedrich-Alexander University Erlangen-Nuremberg and joined CDMM, Skoltech in 2018.
BASICS
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