Steel wire cutter body laser heat treatment technological parameter optimization method

A technology of process parameter optimization and steel wire knife, which is applied in the application field of artificial neural network and genetic algorithm, can solve the problems of difficult processing model and achieve the effect of optimal laser heat treatment process parameters

Inactive Publication Date: 2018-07-27
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, since the influence of laser process parameters on the workpiece is a multi-variable nonline

Method used

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  • Steel wire cutter body laser heat treatment technological parameter optimization method
  • Steel wire cutter body laser heat treatment technological parameter optimization method
  • Steel wire cutter body laser heat treatment technological parameter optimization method

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Experimental program
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Embodiment

[0047] For better reflecting the effect of the present invention, now the present invention method is carried out actual operation, adopts the method of experiment to record 32 samples in this example, and concrete data is as table 2, wherein 28 are randomly selected for training artificial neural meta-network, and the remaining samples are used to test the performance of the trained artificial neuron network.

[0048] Table 2 Hardness test results of steel wire knife under different laser processing parameters

[0049]

[0050]

[0051] *For test sample

[0052] The MSE measured on the artificial neural network training data is 6.0858×10 -5 , achieved an MSE of 10 -4 The target, the MSE obtained from the test data is 9.5×10 -5 , also up to 10 -4 The goal. This shows that the obtained artificial neural network can predict the microhardness of the steel wire knife blade more accurately.

[0053] The genetic algorithm is used to find the optimal parameters, and the p...

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Abstract

The invention discloses a steel wire cutter body laser heat treatment technological parameter optimization method. According to the steel wire cutter body laser heat treatment technological parameteroptimization method provided by the invention, the outstanding fitting ability of an artificial neural network to a multivariate nonlinear mapping relation is firstly utilized, digging and learning are performed from test data, a mapping relation of laser heat treatment technological parameter including the laser power, the scanning speed and the defocusing amount and the corresponding microhardness is established finally, and a prediction method of the steel wire cutter body laser heat treatment technological parameters is established on the basis of the mapping relation; and then a genetic algorithm is adopted to perform operation on artificial neural network prediction data to obtain optimal laser heat treatment technological parameters, and the purpose of optimization is achieved.

Description

technical field [0001] The invention relates to the application field of an artificial neuron network and a genetic algorithm, in particular to a method for optimizing process parameters of laser heat treatment of a high-strength steel wire cutter body. Background technique [0002] The steel wire knife is made of steel and has a blade on the top of the sheet material for die-cutting. It is a special forming die-cutting knife for the printing and packaging industry. Wire knives can be used to cut a wide variety of materials and have traditionally been used primarily in the printing and packaging industries. [0003] Laser heat treatment is one of the surface strengthening technologies. It uses laser as a heat source to heat the surface of the scanned workpiece, so that the surface temperature rises rapidly to the austenitizing temperature range, and then the surface undergoes phase transformation through rapid cooling of the matrix, thereby realizing Strengthened by heat tr...

Claims

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Application Information

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IPC IPC(8): C21D1/09C21D9/22C21D11/00
CPCC21D1/09C21D9/22C21D11/00
Inventor 杨森赵伟冯文张道周逸波
Owner NANJING UNIV OF SCI & TECH
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