Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for identification and detection of spark discharge state based on chaos theory

A spark discharge, state recognition technology, applied in circuits, electric processing equipment, metal processing equipment, etc., to reduce losses, improve processing accuracy and speed

Active Publication Date: 2019-01-15
BEIJING SIMULATION CENT
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The second technical problem to be solved by the present invention is to provide a spark discharge state detection method based on chaos theory to solve the problems of accurate detection of discharge state and accurate detection of working state in the process of electric discharge machining

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
  • A method for identification and detection of spark discharge state based on chaos theory
  • A method for identification and detection of spark discharge state based on chaos theory
  • A method for identification and detection of spark discharge state based on chaos theory

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0123] In the example, the maximum Lyapunov exponent is calculated for the sample data collected by a certain type of precision wire-cut electric discharge machine tool. The simulation experiment was carried out with MATLAB R2012b software on the WINDOWS7 system with Intel Core(TM) 2Duo CPU, main frequency 2.33GHz, and 4G memory. Figure 4 A time series of 700 data points for the sample.

[0124] Step 1: Use the discharge state embedding dimension calculation module method to make the lnC-lnr double logarithmic coordinates according to the result of the correlation integral Figure 5 . From top to bottom, they correspond to the change curves when m takes a value from 1 to 30. Observation shows that when m>15, the slope of the straight line in the figure has begun to stabilize.

[0125] Step 2, use the discharge state delay time calculation module to get Image 6 . As can be seen, The first minimum value is reached at about time point 12, so the delay time τ=12 is taken....

example 2

[0131] In an example, the threshold interval division is performed on the sample data collected by a certain type of precision wire-cut electric discharge machine tool as an example. Calculate the maximum Lyapunov exponent of the sample data according to Example 1, and the calculation results are shown in Table 1.

[0132] Table 1 Calculation results of the maximum Lyapunov exponent in the discharge state

[0133]

[0134] According to the obtained sample, the estimated value of the mean and the standard deviation, the threshold interval of the sample confidence of 90% is calculated, and the threshold ranges of the five chaotic spark discharge states are as follows: stable spark discharge threshold interval [0.0062,0.0073], unstable Spark discharge threshold interval [0.00275,0.0032], excessive spark discharge threshold interval [0.00125,0.002], arc discharge threshold interval [0.0054,0.0060], unstable arc discharge [0.0039,0.0045].

example 3

[0136] In an example, when the system is in open circuit or short circuit, the open circuit and short circuit state are determined according to the rule that the sample data mean voltage is 0 or current mean value is 0.

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 spark discharge state analysis method based on the chaos theory. The method comprises the steps that firstly, the spark discharge gap state time sequence is analyzed, and the embedded dimension m of the discharge state is selected according to the correlation integral; secondly, the spark discharge gap state time sequence is analyzed, and the delay time tau of the discharge state time sequence is calculated through the CC algorithm; thirdly, on the basis of the embedded dimension obtained in the first step and the delay time obtained in the second step, the discharge state phase space is reconstructed; and fourthly, according to the reconstructed space, the maximum Lyapunov index of a sample is calculated, and whether a spark discharge system is in the chaotic time sequence or not is judged according to the index. According to the spark discharge state recognition and detection method, the complex coupling character in the spark discharge process is fully embodied, and accurate judgment on the spark gap discharge state is achieved.

Description

technical field [0001] The invention relates to the field of advanced manufacturing of special processing, in particular to a method for identifying and detecting spark discharge states based on chaos theory. Background technique [0002] EDM is an advanced manufacturing method, which has been widely used in aerospace manufacturing, machining, auto parts production and other fields. The essence of the EDM process is to use the energy of the spark discharge between the tool electrode and the workpiece to process. [0003] Since 1943, the Lazarenko couple developed the first EDM system with controllable machining process at Moscow University, which used a resistor-capacitor discharge power supply. By the 1980s, the appearance of CNC power supply greatly promoted the development of EDM technology. The processing efficiency is improved and the processing process is automated, such as automatic tool electrode compensation. Under certain conditions, precision micromachining suc...

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): B23H1/02
CPCB23H1/024
Inventor 王鹏李伯虎施国强林廷宇周军华
Owner BEIJING SIMULATION CENT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com