4XC-MSThree eye metallographic microscope for image analysis system

The metallographic image analysis system is suitable for various production enterprises related to metal material products, such as steel production, shipbuilding, automobile manufacturing, aircraft manufacturing, high-voltage vessels, and electrical devices. UtilizeSRMASThe analysis results provided by software can provide more scientific basis for enterprise quality control, improve enterprise management level and external image, and are effective tools for enterprises engaged in the development of new technological products and product quality monitoring.SRMASSoftware systems can also serve as effective tools for research institutions, colleges, and other departments related to metal materials to engage in theoretical teaching, experimental analysis, and basic scientific research. The metallographic image analysis system accurately and objectively analyzes the matrix structure, impurity content, and tissue composition of metals or other materials, providing reliable basis for product quality and avoiding losses caused by product quality issues or quality disputes or claims from users.

■ Technical parameter table of metallographic microscope

System configuration

■ Instrument completeness

▲ Partial testing items:
·Metallographic analysis of gray cast iron ·Metallographic examination of ductile iron ·Microscopic evaluation of non-metallic inclusions in steel
·Measurement of Penetration Depth of Coating Layer ·Multiphase organization analysis: analysis of various non-ferrous metals(aluminium,magnesium,Copper, etc)

▲ Introduction to metallographic analysis software:

Specially used for quantitative metallographic analysis, including those that comply with national and international standards156Quantitative metallographic analysis and automatic rating function,300Multiple professional image processing and analysis tools, freely configurable, fully functional color graphic report generation and management tool.

1. be based onBlackboard ArchitectureThe architecture of
SRMASThe software adopts the main software framework designBlackboard ArchitectureArchitecture. This structure is a manifestation of the object-oriented programming philosophy at a higher level. Its main advantage is that it provides a scalable multi-level structure that can effectively organize and schedule a large number of independent knowledge sources. Deleting or adding knowledge sources will not affect the main structure of the system. This structure is very convenient for system maintenance, updates, modifications, adjustments, and upgrades. More importantly, the blackboard structure itself is an intelligent structure, and by continuously adding new knowledge, the intelligence level of the system can be continuously improved. Providing a favorable environment for the continuous development of intelligent systems.

2. be based onPASTGrain boundary reconstruction algorithm based on technology and mathematical morphology theory
Extracting complete and accurate grain boundaries is a prerequisite for conducting grain size analysis. Establishing effective grain boundary reconstruction algorithms has always been a concern in the international academic community.SRMASThe grain boundary reconstruction algorithm provided by the software is currently at the forefront of international standards.

3. Fast automatic segmentation algorithm for adhesive particles
Granular objects in microscopic images are often adhered together. Automatically segmenting these adhesive particles is crucial for the accuracy and reliability of the analysis results.SRMASThe fast automatic segmentation algorithm for adhesive particles used in the software is a fundamental algorithm developed specifically for microscopic image analysis based on mathematical morphology theory. Its code efficiency and space efficiency are currently at the forefront of international standards.

▲ Analysis software features:

·Unified, concise, and elegant analysis interface · 191Multiple metallographic testing and evaluation functions
·Efficient and stable analytical capabilities ·Effective tool for selecting metallographic structures
·Unique grain boundary reconstruction algorithm ·A fully functional color graphic and text report generator and manager
·Image geometric parameter measurement tool ·Real scale image output function

■ Name: Metallographic Image Analysis System

■ Model:AON-STUDIO2010

■ Supporting hardware:

·4XCtypeThree eyesmetallurgical microscope ·Digital camera ·Adaptive mirror ·Image capture card ·Computer

one. The metallographic image analysis system is suitable for various production enterprises related to metal material products, such as steel production, shipbuilding, automobile manufacturing, aircraft manufacturing, high-voltage vessels, and electrical devices. UtilizeAON-STUDIO2010The analysis results provided by software can provide more scientific basis for enterprise quality control, improve enterprise management level and external image, and are effective tools for enterprises engaged in the development of new technological products and product quality monitoring.AON-STUDIO2010Software can also serve as an effective tool for research institutions, colleges, and other departments related to metal materials to engage in theoretical teaching, experimental analysis, and basic scientific research.

The metallographic image analysis system accurately and objectively analyzes the matrix structure, impurity content, and tissue composition of metals or other materials, providing reliable basis for product quality and avoiding losses caused by product quality issues or quality disputes or claims from users.

two. Function: The software can process and analyze metallographic images captured by hardware devices such as video capture cards or digital cameras in metallographic microscopes, and obtain relevant inspection results. This software has been developed based on inspection standards331Software functional modules (quantitative analysis and automatic rating)190Type of module. Qualitative analysis and auxiliary rating141Quantitative analysis of the metallographic structure and the number of inclusions in metals, as well as the particle size, morphological parameters, and distribution of inclusions, to identify the types of inclusions. Quantitatively analyze the percentage content of pearlite, ferrite, etc., measure grain size determination, phase area percentage, coating (carburizing layer) and coating thickness measurement, porosity evaluation, spheroidization degree, particle size and number of grains of graphite in ductile iron, weld depth measurement, and fiber diameter determination. Automatic and auxiliary grading of non-ferrous metals, ferrous metals, and various types of cast iron, including geometric measurement, fixed magnification printing, viewing of image libraries, offline jigsaw puzzles, and metallographic teaching.

three. Partial testing items:
·Metallographic analysis of gray cast iron ·Metallographic examination of ductile iron ·Microscopic evaluation of non-metallic inclusions in steel
·Measurement of Penetration Depth of Coating Layer ·Multiphase organization analysis: analysis of various non-ferrous metals(aluminium,magnesium,Copper, etc)

four. Analysis software:

Specially designed for quantitative metallographic analysis, developed331Software functional modules (quantitative analysis and automatic rating)190Type of module. Qualitative analysis and auxiliary rating141A color graphic report generator and manager with free configuration and complete functions.

1. be based onBlackboard ArchitectureThe architecture of
AON-STUDIO2010The software adopts the main software framework designBlackboard ArchitectureArchitecture. This structure is a manifestation of the object-oriented programming philosophy at a higher level. Its main advantage is that it provides a scalable multi-level structure that can effectively organize and schedule a large number of independent knowledge sources. Deleting or adding knowledge sources will not affect the main structure of the system. This structure is very convenient for system maintenance, updates, modifications, adjustments, and upgrades. More importantly, the blackboard structure itself is an intelligent structure, and by constantly adding new knowledge, the intelligence level of the system can be continuously improved. Providing a favorable environment for the continuous development of intelligent systems.

2. be based onPASTGrain boundary reconstruction algorithm based on technology and mathematical morphology theory
Extracting complete and accurate grain boundaries is a prerequisite for conducting grain size analysis. Establishing effective grain boundary reconstruction algorithms has always been a concern in the international academic community.AON-STUDIO2010The grain boundary reconstruction algorithm provided by the software is currently at the forefront of international standards.

3. Fast automatic segmentation algorithm for adhesive particles
Granular objects in microscopic images are often adhered together. Automatically segmenting these adhesive particles is crucial for the accuracy and reliability of the analysis results.AON-STUDIO2010The fast automatic segmentation algorithm for adhesive particles used in the software is a fundamental algorithm developed specifically for microscopic image analysis based on mathematical morphology theory. Its code efficiency and space efficiency are currently at the forefront of international standards.

five.Analysis software features:

·Unified, concise, and elegant analysis interface · 191Multiple metallographic testing and evaluation functions
·Efficient and stable analytical capabilities ·Effective tool for selecting metallographic structures
·Unique grain boundary reconstruction algorithm ·A fully functional color graphic and text report generator and manager
·Image geometric parameter measurement tool ·Real scale image output function

6、 Complete set:

1Metallographic microscope: Three eye inverted metallographic microscope4XCtype 1set

2Image adaptation glasses:MCL-V 1only

3Image sensing camera:AV202B(Japanese chip color)1/3”CCD480Line0.005LUX） 1only

(Optional)JVC1020(Color)1/3”CCD540Line0.2LUXBacklight compensation) 1only

4Image processing system:SDK-2000Image capture card (high-resolution real-time image acquisition card software package) 1only

5Image Analysis System: Professional Quantitative Metallographic Analysis System（2010Version) 1set

6Computers and printers: current mainstream configuration Lenovo19Inch LCD screen and HP printer1Set (User Optional Item)