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Hobbing technological parameter self-adaptive adjusting method based on differential evolution algorithm

A technology of self-adaptive adjustment and process parameters, applied in the field of gear hobbing, which can solve problems such as deficiencies

Active Publication Date: 2014-12-10
CHONGQING UNIV
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Problems solved by technology

[0003] Most of the existing parameter adaptive adjustments based on differential evolution algorithms are aimed at the adjustment of control parameters such as scaling factors and crossover factors, but not at the adjustment of individual parameters of the population. At present, research in this area is lacking, especially in rolling Gear processing field

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  • Hobbing technological parameter self-adaptive adjusting method based on differential evolution algorithm
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  • Hobbing technological parameter self-adaptive adjusting method based on differential evolution algorithm

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Embodiment Construction

[0029] The idea of ​​the present invention is: use the definition of the population in the differential evolution algorithm to represent the hobbing process parameter population, and encode it, and use the scaling factor F i and cross factor CR i The automatic adjustment of the hobbing process parameter population optimization learning is realized, the fitness function based on multi-source information is created, and the adaptive adjustment of the hobbing process parameters is completed by combining the mutation, crossover, selection and other operations in the difference evolution algorithm.

[0030] The present invention will be further described below in conjunction with accompanying drawing:

[0031] A method for adaptive adjustment of hobbing process parameters based on differential evolution algorithm. During the hobbing process of the same batch of gears, when the process parameters are decided, the hobbing process parameters are adaptively adjusted according to the fo...

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Abstract

The invention discloses a hobbing technological parameter self-adaptive adjusting method based on a differential evolution algorithm. The hobbing technological parameter self-adaptive adjusting method is characterized in that, in the hobbing process of the same batch of gears, when technological parameters are deciding, hobbing technological parameter self-adaptive adjustment is performed according to the following steps of: 1, representing and coding hobbing technological parameter populations; 2, formulating optimization learning strategy of the hobbing technological parameter populations; 3, achieving a base of multi-source information, including building fitness functions of machining quality, machining time and source consumption; 4, achieving hobbing technological parameter self-adaptive adjustment based on the differential evolution algorithm. The hobbing technological parameter self-adaptive adjusting method based on the differential evolution algorithm has the advantages that, the zoom factor and cross factor of each population individual are adjusted by using the population optimization learning strategy, so that indeterminacy in manual setting is avoided; the hobbing technological parameters are self-adaptively adjusted by using the differential evolution algorithm, which is high in adjusting efficiency and low in surface roughness of the machined gears when being compared with manual setting of the hobbing technological parameters.

Description

technical field [0001] The invention relates to gear hobbing processing technology, in particular to an adaptive adjustment method of gear hobbing process parameters based on difference evolution algorithm. Background technique [0002] Modern gear hobbing is all processed by automatic processing machine tools. During processing, it is necessary to optimize the processing parameters according to the processing requirements. In the process of gear hobbing, the process of intelligent decision-making of process parameters has become more and more important, and the influence of decision-making results on gear machining quality and machining efficiency has attracted widespread attention. In the actual hobbing process, especially in the same batch of gear processing, the basic parameters of the gears are the same and the processing requirements are the same. It is cumbersome to adjust the parameters manually by querying the manual or by software. Most of the craftsmen do repetit...

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Application Information

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IPC IPC(8): G06N3/12
Inventor 阎春平曹卫东肖雨亮
Owner CHONGQING UNIV