Sheet material heat conducting law analytical method based on neural network model

Abstract

This invention provides one board materials heat conductive rules analysis method based on neural network module, which uses input keyboard, computer host and display and comprises the following steps: a, inputting the following time and relative temperature data set according to experiment result as X={x1(t1), x2(t2), ...xn(tn}); B, opening interface engine to fulfill data initial process and transmission for computation preparation; c, computing in back bench to compute each item parameter through neural element network mode; d, displaying output computation result.

Description

technical field [0001] The invention relates to a method for analyzing the heat conduction law of a plate based on a neuron network model. This type of plate is made of complex biomass materials composed of multiple materials or laminated composites. Background technique [0002] At present, scientists at home and abroad have developed theoretical and practical detection methods for the thermal conductivity of materials with medium thermal conductivity, such as plastics, epoxy resins, and glass. The general detection principle of these detection methods is to pass a constant current through a heating element attached to the upper surface (or lower surface) of the test piece, so that the heating element releases constant heat (or makes the heating element a constant heat source), and at the same time A temperature acquisition sensor is placed on the upper surface (or lower surface) of the test piece at a certain distance from the heating element to receive the real-time tempe...

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Problems solved by technology

It can give the law function of heat conduction efficiency, solve the problem of plate heat conduction law analysis, and fill a gap in the field of wood science heat conduction law research at home and abroad.

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