Method for predicting performance of laser glass by using glass material genetic method

A technology of laser glass and glass materials, applied in chemical property prediction, chemical machine learning, chemical data mining, etc., can solve problems such as low efficiency, long research and development cycle, insufficient understanding of glass structure, etc., and achieve accurate prediction effect

Active Publication Date: 2019-02-01
SOUTH CHINA UNIV OF TECH
View PDF9 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the current shortcomings of various glass components, insufficient understanding of glass structure, long research and development

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
  • Method for predicting performance of laser glass by using glass material genetic method
  • Method for predicting performance of laser glass by using glass material genetic method
  • Method for predicting performance of laser glass by using glass material genetic method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] The target glass that needs to predict the laser performance is: Nd 3+ Doped borate glass, xLi 2 O-(99-x)B 2 O 3 -1Nd 2 O 3 (10≤x≤50mol%) and its xLi 2 O-(99-x-y)B 2 O 3 -yMgO-1Nd 2 O 3 (10≤x≤50mol%, 5≤y≤15mol%).

[0026] Quantitative prediction of Nd using glass gene method 3+ Doped xLi 2 O-(99-x)B 2 O 3 -1Nd 2 O 3 The laser properties, the laser properties here include Nd in glass 3+ ion 4 F 3 / 2 → 4 I 11 / 2 Effective line width of transition, fluorescence half-peak width, fluorescence lifetime, peak emission cross section, Nd 3+ ion 4 F 3 / 2 Energy level radiation lifetime and absorption cross section at 808nm. Taking the consistent molten glassy compound in the corresponding phase diagram of the glass as the target glass material gene, the laser performance of the glass corresponding to the consistent molten glassy compound component in the phase diagram can be used to obtain the laser performance of the target glass. Since the laser performance of the consistent molten gl...

Embodiment 2

[0069] Glass composition that needs to predict laser performance: Tm 3+ Doped germanate glass, (100-x-y)GeO 2 -xBaO-yLa 2 O 3 (5≤x≤50mol%, 0≤y≤15mol%).

[0070] The embodiment is basically the same as that in Example 1, except that the glass component is replaced with germanate glass, and the rare earth ion is Tm 3+ , Predicted Tm 3+ Doped (100-x-y)GeO 2 -xBaO-yLa 2 O 3 (5≤x≤50mol%, 0≤y≤15mol%) laser performance of glass, including Tm 3+ : 3 F 4 → 3 H 6 The effective line width of the transition, the fluorescence half-height width, the fluorescence lifetime, and the stimulated emission cross section. Specific steps are as follows.

[0071] (1) Looking for GeO 2 -BaO-La 2 O 3 It is found that there is no complete phase diagram data for the corresponding phase diagram of the glass. At this time, we can find the corresponding binary phase diagram, and divide the triangular area with the consistent molten glassy compound in the binary phase diagram as the apex. The principle of division...

Embodiment 3

[0076] Glass component that needs to predict laser performance: Yb 3+ Doped phosphate glass (100-x-y)P 2 O 5 -xAl 2 O 3 -yLa 2 O 3 (0≤x≤20mol%, 0≤y≤15mol%).

[0077] The embodiment is basically the same as in Example 1, except that the glass component is replaced with phosphate glass, and the rare earth ion is Yb. 3+ , Forecast Yb 3+ Doped (100-x-y)P 2 O 5 -xAl 2 O 3 -yLa 2 O 3 (0≤x≤20mol%, 0≤y≤15mol%) laser performance of glass, including Yb 3+ : 2 F 5 / 2 → 2 F 7 / 2 The effective line width of the transition, the fluorescence half-height width, the fluorescence lifetime, and the stimulated emission cross section. Specific steps are as follows:

[0078] (1) Divide P 2 O 5 -Al 2 O 3 -La 2 O 3 The corresponding phase diagram of the glass.

[0079] (2) Find Yb 3+ Doped (100-x-y)P 2 O 5 -xAl 2 O 3 -yLa 2 O 3 The glass formula, and the composition of the glass is represented by three adjacent molten glassy compounds.

[0080] (3) Calculate the laser performance corresponding to the same molt...

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 method for predicting the performance of a laser glass by using a glass material genetic method, a uniform molten glass compound adjacent to a laser glass component in a phase diagram corresponding to the target laser glass is used as a laser glass-gene, and according to the laser performance of a uniform molten glass state, the laser performance of the target component laser glass can be predicted. The method comprises the following steps: (1) obtaining a phase diagram corresponding to the laser glass to-be-studied by using a phase diagram database; (2) selecting a laser glass formula, and expressing the glass composition by the content of the adjacent uniform molten glass compound; (3) finding or estimating the properties of adjacent uniform molten glass compound, such as physical properties and laser properties; and (4) predicting the properties of the target laser glass through an addition rule by using the content and properties of the uniform molten glass compound. The method of the invention is the novel method for low-cost and rapid development research and development of the novel laser glass and optical fiber, and has great significance for the development of high-performance lasers.

Description

Technical field [0001] The invention belongs to the field of glass material research, and specifically relates to a method for predicting the performance of laser glass by adopting a glass material genetic method. Background technique [0002] Glass materials have become an indispensable part of modern life and play an important role in promoting the development of social civilization. The glassy state is considered to be a thermodynamic metastable state between molten liquid and crystals. For a long time, the nature of glassy matter has been the most challenging problem in condensed matter physics. Science listed the scientific question of "what is the nature of glassy matter" as one of the 125 most challenging scientific questions on the 125th anniversary of its publication. Glass is everywhere. Even though it has been used for thousands of years, it is still a mysterious material. The relationship between its composition, structure and performance has always hindered the opti...

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): G16C20/30G16C20/70
Inventor 杨中民钱国权钱奇唐国武
Owner SOUTH CHINA UNIV OF TECH
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