Predictive method of milling machining surface form

Abstract

The invention provides a predictive method of milling machining surface form which comprises the following steps: step one, arranging cutting parameter data and acquiring a surface roughness measured value; step two, resolving a surface roughness predictive value; step three, combining the surface roughness measured value with the surface roughness predictive value to a module data group and outputting an ultimate predictive module. Compared with the prior art, the predictive method of the milling machining surface form provides a novel surface form predictive method and further resolves the problem of match between the cutting parameter and the machining surface form based on a multiple linear regression thought. The predictive method of the milling machining surface form analyzes mainly from the angle of the features of a predictive system of the milling machining surface form, establishes a multiple linear regression analysis predictive module specific to different machining experiments, and utilizes the module to predict the experiments, and can be popularized to the prediction of residual stress, surface hardness and cutting force and the like in the milling process.

Description

technical field [0001] The invention relates to a method for predicting surface topography in milling processing. Background technique [0002] The surface topography of milling directly affects the machining accuracy and quality of parts. It has become one of the important research contents of milling technology to systematically study the connotation of milling surface generation. During the machining process, the surface topography of the workpiece is closely related to the geometric features of the tool and the offset of the tool relative to the workpiece induced by the cutting force. [0003] At present, there are mainly the following methods for predicting the surface topography of milling: (1) Establish the CAD and CAM models of the workpiece and the tool according to the process parameters, and use the Boolean operation technology to obtain the corresponding milling surface topography, and develop a set of ball end milling Processing simulation system; (2) Establish...

AI Technical Summary

Problems solved by technology

[0005] Compared with the prior art, the present invention proposes a new surface topography prediction method based on multiple linear regression ideas, which further solves the matching problem between cutting parameters and machined surface topography

Images