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

Spectral analysis method for online detecting size distribution of inclusions in steel

A particle size distribution and spectral analysis technology, applied in the field of metal material detection, can solve problems such as low precision and unreasonable analysis methods, and achieve the effects of improving product qualification rate, realizing online quality control, and fast analysis speed

Inactive Publication Date: 2004-09-01
ANGANG STEEL CO LTD
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, there is no calculation method for the maximum particle size of inclusions in the Japanese patent
The accuracy of this method is low, and the analysis method is not reasonable enough

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
  • Spectral analysis method for online detecting size distribution of inclusions in steel
  • Spectral analysis method for online detecting size distribution of inclusions in steel
  • Spectral analysis method for online detecting size distribution of inclusions in steel

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The specific embodiments of the present invention will be described below with reference to the accompanying drawings. Here, only the Al 2 O 3 Take the inclusion as an example.

[0035] Use as Figure 4 In the device shown, the spectroscopic analysis method for on-line detection of the particle size distribution of inclusions in steel consists of the following steps:

[0036] 1) In the inert gas environment in the light-emitting station (2), a pre-discharge of 200-700 pulses is performed between the steel sample and the counter electrode, and then a formal spark discharge of 1500-2000 pulses is performed;

[0037] 2) The luminescence of each spark discharge is split in the spectroscopic device (1) to obtain the spectral lines of each element, and the critical value of the metal element aluminum inclusion intensity and the critical value of the oxygen intensity of the inclusion monitoring element are obtained in the calculation device (5). Such as figure 1 , Figure 2 and im...

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 spectrum analyzing method of on-line detecting the particle size distribution of inclusions in the steel. On the nitrogen condition, make predischarge and formal spark discharge between the metal sample and electrode pair, make light split analysis on metal element and inclusion-monitor oxygen element, use data processor to make programming and calculating processing on the spectrum data to calculate the total strength of the inclusions, calculate out the contain of the inclusions in the sample according to the preset inclusion strength-content correcting curve, calculate out the particle size distribution of the inclusions according to the weight difference of the sample excited before and after, according to 10 measured results of the particle size distribution and by extremum statistical method, calculate the maximum particle size of the inclusions. It controls refining course according to the detecting result, thus remarkably reducing the rejection quantity caused by the inclusions and enhancing the steel quality. It is applied to analysis on the particle size distribution of the inclusions in the steel such as Al2O3, SiO2, MnO, CaO and MnS.

Description

Technical field [0001] The invention belongs to the technical field of metal material detection, in particular to a spectrum analysis method for online detection of the particle size distribution of inclusions in steel. Background technique [0002] The particle size distribution of inclusions in traditional steel is detected by optical microscope, electron probe and image analyzer analysis. The accuracy of these detection methods is affected by external conditions such as sample preparation and the level of the inspector, and the analysis time is long. . If the quality of the finished product is caused by inclusions, check the quality of the cast billet and adjust the smelting process to solve the quality problem of the steel produced later, but the quality of the steel produced cannot be solved, so the scrap rate is high. If the size of inclusions in the steel exceeds a certain limit, the steel will be prone to cracks and its fatigue performance will be significantly reduced. S...

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): G01N21/67
Inventor 唐复平栗红常桂华薛占强
Owner ANGANG STEEL CO LTD
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