A Method for Optimizing the Hobbing Process Parameters of CNC Gear Hobbing Machine

Abstract

The invention discloses a method for optimizing a gear hobbing process parameter of a numerical control gear hobbing machine, wherein the method belongs to the field of gear manufacturing. According to the method, exerting the highest machining capability of a main shaft motor of the gear hobbing machine is used as a target. Based on a gray theory, the gear hobbing process parameter is optimized.The method comprises the steps of using a hobbing cutter rotating speed (n), an X-direction feeding amount (f) and a Z-direction feeding speed (v) as process parameter researching objects, and using main shaft motor current (i) as a representing parameter of a gear hobbing machine main shaft motor capability; qualitatively analyzing the weights of the hobbing cutter rotating speed, the X-directionfeeding amount and the Z-direction feeding speed to the machining capability of the gear hobbing machine main shaft motor; establishing a multidimensional gray model of the main shaft motor current and the hobbing cutter rotating speed, the X-direction feeding amount and the Z-direction feeding amount, and optimizing the process parameter through a model, and exerting the highest machining capability of the gear hobbing machine main shaft motor.

Description

technical field [0001] The invention relates to the technical field of gear manufacturing, in particular to a method for optimizing hobbing process parameters of a numerically controlled gear hobbing machine. Background technique [0002] In gear hobbing, the selection of process parameters is a very critical link. Reasonable process parameters are of great significance to improve processing quality, reduce processing time, save production costs and reduce energy consumption. At present, most of the process parameters of gear hobbing are formulated by craftsmen based on actual experience, which has great subjectivity and uncertainty. Therefore, it is very necessary to optimize the process parameters. In the past, process parameter optimization was mostly aimed at improving processing quality, reducing production time, and saving production costs; in recent years, with the concept of energy conservation and environmental protection proposed, many scholars have begun to study ...

AI Technical Summary

Problems solved by technology

In the past, process parameter optimization was mostly aimed at improving processing quality, reducing production time, and saving production costs; in recent years, with the concept of energy conservation and environmental protection proposed, many scholars have begun to study process parameter optimization with the goal of reducing energy consumption and reducing pollution. , however, there are few studies in the academic circles on optimizing the process parameters with the goal of maximizing the processing equipment's capacity

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