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Data-driven and feature-selected gear hobbing processing method

A feature selection and data-driven technology, applied in the field of gear processing, can solve problems such as lack of optimization process parameter library, waste of historical processing cases, and quantitative analysis that has not been achieved, and achieve poor optimization results, eliminate attribute redundancy, and reduce rolling. The effect of the tooth feature

Active Publication Date: 2019-07-30
HOHAI UNIV CHANGZHOU
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Problems solved by technology

[0002] In the actual hobbing process, domestic enterprises lack optimized process parameter library, some even do not have it, and only rely on the experience of workers or process personnel to make decisions, which is a huge waste of historical processing cases, and when new process problems are encountered, it will encountered great difficulties
[0003] In China, there are few studies on the optimization of process parameters in the process of gear hobbing. The existing methods for the optimization of process parameters in gear hobbing are mainly experimental research and numerical simulation, which have not reached the stage of quantitative analysis.
In addition, currently there are few samples that can be used as optimized process parameters, and the optimization method combining neural network and genetic algorithm, graph theory and example reasoning method are difficult to use, so the method combining support vector regression and salp algorithm is applied to gear hobbing Optimizing process parameters and guiding processing is novel, and current research in this area is lacking

Method used

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  • Data-driven and feature-selected gear hobbing processing method
  • Data-driven and feature-selected gear hobbing processing method
  • Data-driven and feature-selected gear hobbing processing method

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Embodiment

[0065] Taking a gear hobbing process in a gear manufacturing enterprise as an example, the machine tool used is a seven-axis four-linkage environmental protection CNC dry cutting gear hobbing machine YS3116CNC7, and the software used is MATLAB. Using the example sample of CNC hobbing process in the gear manufacturing workshop of the gear company, the gear type is cylindrical helical gear, the workpiece material is 40Cr, the Brinell hardness is 200HBW, the machining accuracy is 7 grades, the hobbing type is reverse rolling, and the sample capacity is 18 ,As shown in Table 1.

[0066] Table 1 Hobbing process sample set

[0067]

[0068] Among them: the units of each variable are respectively, f 0 : mm, f 1 : rad, f 3 : rad, f 4 : mm, f 5 : mm, f 6 : mm, f 8 : mm, r 0 : r / min, r 1 : mm / r.

[0069] According to the specific steps of the present invention, during the gear hobbing process, the hobbing process parameters are predicted in the case of data sets, and compar...

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Abstract

The invention discloses a gear hobbing processing method, which is used for optimizing gear hobbing process parameters based on data driving and feature selection and comprises the following specificsteps: (1) establishing a gear hobbing process parameter evaluation function; (2) realizing support vector regression prediction of a gear hobbing process parameter set; and (3) generating optimized gear hobbing characteristics and optimized gear hobbing process parameters. The method has the advantages that the adaptive optimization prediction of the gear hobbing process parameters is carried outby utilizing the support vector regression and the douche algorithm for the gear hobbing characteristics and the process data, and the method is simple in operation and smaller in error.

Description

technical field [0001] The invention relates to gear processing technology, in particular to a processing method for optimizing process parameters during gear hobbing. Background technique [0002] In the actual hobbing process, domestic enterprises lack optimized process parameter library, some even do not have it, and only rely on the experience of workers or process personnel to make decisions, which is a huge waste of historical processing cases, and when new process problems are encountered, it will encountered great difficulties. [0003] In China, there are few studies on the optimization of process parameters in the process of gear hobbing. The existing methods to deal with the optimization of process parameters in gear hobbing are mainly experimental research and numerical simulation, which have not reached the stage of quantitative analysis. In addition, currently there are few samples that can be used as optimized process parameters, and the optimization method c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06F17/15G06F17/18G06K9/62G06N3/00
CPCG06F17/15G06F17/18G06N3/006G06F30/17G06F18/2411Y02P90/30
Inventor 曹卫东倪建军姜博严
Owner HOHAI UNIV CHANGZHOU
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