Predictive method of milling machining surface form

A surface topography and prediction method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of increasing the number, improving prediction accuracy and robustness

Inactive Publication Date: 2013-05-22
陈慧群
View PDF1 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 multipl

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Predictive method of milling machining surface form
  • Predictive method of milling machining surface form
  • Predictive method of milling machining surface form

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0010] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0011] see figure 1 and figure 2 , The invention provides a method for predicting surface topography in milling.

[0012] As shown in the figure, a method for predicting the surface topography of milling processing of the present invention uses the experimental data meter to predict the surface quality parameters after processing by the linear regression method, and combines the ideas and methods of multiple linear regression prediction, and adopts the perfect multivariate nonlinear method provided by Matlab. A toolbox for linear regression and simulation calculations, establishes a multiple linear regression model for surface quality prediction, pre-generates a prediction model after merging data, checks model errors, and then outputs the final shape.

[0013] 1. Surface Topography Prediction Process

[0014] control figure 2 , the proce...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/50
Inventor 陈慧群
Owner 陈慧群
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap