Unlock instant, AI-driven research and patent intelligence for your innovation.

Surface remaining stress monitoring method based on machine tool energy consumption

A residual stress, machine tool technology, applied in design optimization/simulation, instrumentation, electrical and digital data processing, etc., can solve complex problems, can not reflect real-time process parameters, time-consuming and other problems

Pending Publication Date: 2022-02-11
CHONGQING UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is a complex and time-consuming task to directly monitor the residual stress by using an x-ray diffraction stress analyzer. In addition, the residual stress prediction model that takes machine tool process parameters as input cannot reflect the changes in real-time process parameters, so it is not yet possible to For Surface Residual Stress Monitoring

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
  • Surface remaining stress monitoring method based on machine tool energy consumption
  • Surface remaining stress monitoring method based on machine tool energy consumption
  • Surface remaining stress monitoring method based on machine tool energy consumption

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0039] In this embodiment, based on the surface residual stress monitoring method of machine tool energy consumption, the effective cutting energy consumption model based on machine tool energy consumption and the surface strain energy model based on effective cutting energy are respectively established, so as to obtain the mapping between machine tool energy consumption and surface strain energy relation;

[0040] Use the residual stress prediction model to predict the characteristics of the surface residual stress in the feed direction and the transverse direction in real time, and obtain the positive and negative of the surface residual stress in the feed direction and the surfa...

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 discloses a surface remaining stress monitoring method based on machine tool energy consumption. The method comprises the following steps: respectively building an effective cutting energy consumption model based on machine tool energy consumption and a surface strain energy model based on effective cutting energy, and obtaining a mapping relation between the machine tool energy consumption and surface strain energy; determining a proportional relation of remaining stress amplitudes in a feeding direction and a transverse direction based on a specific machining mode, and predicting remaining stress amplitude prediction values in the two directions through the surface strain energy; predicting positive and negative properties of surface remaining stress in the feeding direction and the transverse direction through a remaining stress positive and negative property prediction model, and determining attributes of the surface remaining stress in the feeding and transverse directions; finally, realizing the prediction of the amplitudes and the positive and negative properties of the surface residual stress through the machine tool energy consumption by combining the models above, and realizing real-time monitoring of surface remaining stress in the feeding and transverse directions by the machine tool energy consumption. According to the surface remaining stress monitoring method based on the machine tool energy consumption, surface remaining stress can be conveniently monitored through machine tool energy consumption.

Description

technical field [0001] The invention belongs to the technical field of residual stress non-destructive monitoring, in particular to a surface residual stress monitoring method based on machine tool energy consumption. Background technique [0002] Machining residual stress has an important influence on the machining quality and dimensional stability of parts. Convenient and efficient monitoring of surface residual stress is of great significance to control processing quality. However, it is a complex and time-consuming task to directly monitor the residual stress by using an x-ray diffraction stress analyzer. In addition, the residual stress prediction model that takes machine tool process parameters as input cannot reflect the changes in real-time process parameters, so it is not yet possible to For surface residual stress monitoring. Contents of the invention [0003] In view of this, the object of the present invention is to provide a method for monitoring surface res...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06F119/14
CPCG06F30/27G06F2119/14
Inventor 王四宝王泽华王时龙易力力赵增亚
Owner CHONGQING UNIV