Optimization method for mixture ratio of components of working layer of metal plastic composite material

Abstract

The invention discloses an optimization method for a mixture ratio of components of a working layer of a metal plastic composite material, which comprises the following steps: obtaining mixture ratio parameters of working layers of polyphenyl thioether and nylon 66 and carbon fibers, and material performance parameters of the vibration reduction and the firmness of composite materials, which correspond to the mixture ratio parameters by a plurality of groups of orthogonal tests; training self-adapting nerve fuzzy reasoning systems and respectively establishing the global map relation; establishing and correcting a system model by three-dimensional analysis software to obtain various parameters; taking optimal performances with 50 percent of the vibration reduction and 50 percent of the firmness as a target; copying, crossing and varying the mixture ratio parameters by a genetic algorithm to obtain mixture ratio parameter values corresponding to the optimal performances; and comparing the mixture ratio parameter values obtained through the optimization by the genetic algorithm and the performance parameters corresponding to the mixture ratio parameter values with the mixture ratio parameters corresponding to the same performance parameters and corrected by the three-dimensional analysis software. The optimization method not only ensures the precision, but also improves the efficiency, and substantially improves the vibration reduction and the firmness of the metal plastic composite material.

Description

technical field [0001] The invention relates to a method for obtaining the optimal ratio of components in a composite material working layer, in particular to a method for obtaining the optimal ratio of a metal-plastic composite material working layer based on an adaptive neural fuzzy reasoning genetic algorithm supplemented by finite element analysis. Background technique [0002] Metal composite material is a kind of multifunctional composite material, which has developed into a new branch of composite material. Divided into heterogeneous mixtures of reinforcing phases, which have in common a continuous metal matrix. The metal-plastic composite material is composed of a metal matrix and a plastic layer. The metal matrix mainly plays a supporting role. The plastic layer is composed of an intermediate layer and a working layer. Corrosion resistance and other effects, and the ratio of the composition of the working layer directly determines the overall performance of the com...

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Problems solved by technology

[0006] The purpose of the present invention is to overcome the shortcomings of inaccuracy and low efficiency caused by proportioning only based on experience in the prior art in terms of material composition ratios, and to provide a method with high efficiency, high accuracy, and fast calculation speed. An optimization method for the composition ratio of the working layer of metal-plastic composite materials based on orthogonal experiment and adaptive neuro-fuzzy reasoning genetic algorithm supplemented by finite element analysis with strong anti-interference ability

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