Mechanical property prediction method of miniature LED array/liquid crystal elastomer system

Abstract

The invention belongs to the technical field of mathematical modeling and mechanics, and particularly relates to a mechanical property prediction method of a miniature LED array / liquid crystal elastomer system. According to the method, the miniature LED array / liquid crystal elastomer system is simplified into a liquid crystal elastomer / flexible substrate two-dimensional laminated structure; firstly, an accurate analysis model of a simply supported laminated structure is established, wherein mechanical loads are described by a multi-order polynomial function, and a mechanical load function in any form can be simulated; then a neural network training data set between the mechanical load function coefficient and the displacement of the laminated structure is established under a temperature field; and a relationship between deformation and a mechanical load coefficient is established by applying a BP neural network, and a mechanical solution of the structure is predicted under the combined action of thermal-mechanical loads; namely elastic deformation of the laminated structure under the action of the mechanical loads and a mechanical load causing specific deformation are predicted under the temperature field. According to the invention, a relation between the deformation of the laminated structure and the mechanical loads is established, tedious calculation is avoided, and the mechanical solution of the laminated structure can be conveniently and quickly obtained.

Description

technical field [0001] The invention belongs to the field of mathematical modeling and mechanics, and in particular relates to an elastic mechanics solution prediction method of a micro LED array / liquid crystal elastic body system based on an analytical model and a neural network. Background technique [0002] Heart failure and stroke caused by atrial fibrillation are the most feared and most common diseases. Mechanically assisting atrial systolic function can effectively reduce the mortality and morbidity of patients. Therefore, many scholars have proposed the use of smart materials to support atrial systolic function. Light-responsive Liquid Crystal Elastomer (LCE) can reversibly respond to external stimuli of light to produce unique movement or tension, which is similar to the principle of muscle movement, and is a smart material often called artificial muscle. Therefore, the integration of micro light-emitting diodes (μLED) and LCE materials and pasting on the surface ...

AI Technical Summary

Problems solved by technology

However, there are few studies and predictions on the application of neural networks to the mechanical properties of laminated structures under coupled thermo-mechanical loads.

Images