Convening Order for Analysis of Ferrography, Establishment of Standards and Talent Training

Recently, Zhongte Metrology and Testing Research Institute has collaborated with multiple units such as puluody Measurement and Control, Calder Industrial Control, Yiqi Intelligence, and Punach to carry out industry ferrography standardization and wear mechanism talent training programs in the industry.

The understanding of wear and tear can be traced back to the discourse of 95-55 BC, and people have been hoping to establish a means of detecting the occurrence and development of wear and tear from a very early age. In the 1960s, initiated by NASA, the first international mechanical fault diagnosis professional association, the MFPG Mechanical Failures Prevention Group, was established to research, exchange, summarize, and develop mechanical fault diagnosis technologies.

Iron spectrum analysis technology is to obtain wear particles from lubricating oil and analyze their shape, size, material, and distribution concentration. It can directly observe the form in which they exist as a group of wear particles and the form in which each individual component of this group exists. Obtain a series of characteristic information to monitor equipment operation status, diagnose early equipment failures, and ensure reliable equipment operation.

Iron spectrum analysis is a prerequisite for using iron spectrum analysis technology to monitor the operating status of equipment and diagnose equipment faults. Iron spectrum analysis technology requires high demands from analysts, who need to master professional equipment lubrication and spectrum analysis techniques. The accuracy of analysis and diagnosis largely depends on human knowledge and experience, and the classification and grading of standard spectra can help improve the accuracy and reliability of analysis.

Training content:

Standard specifications and operating procedures for ferrography in different industries;

Iron spectrum wear coverage; The total wear value of ferrographic mechanical wear;

The severity of mechanical wear and tear;

The wear intensity index of mechanical wear;

Wear particle concentration

Research on Wear Mechanism

Discrimination of wear particle types

Three dimensional construction of wear particles

Graphical recognition of wear particles and construction of quantitative models

This training program not only provides systematic training on ferrography and spectrum analysis techniques, including their working principles and methods, but also focuses on the study of wear particles in lubricating oil, systematically elaborating on their forms of existence, generation mechanisms, morphological characteristics, identification methods, and their correlation with friction states. This type of training that combines abrasive particle analysis theory with related detection techniques is not only beneficial for improving the scientific and operational application of abrasive particle analysis methods in large-scale mechanical condition monitoring applications, but also enriches the knowledge of tribology theory and practice.

·Training objectives:

Firstly, the application research of abrasive particle analysis method in more industrial fields provides a richer resource of typical abrasive particles in terms of quantity and variety.

The second is the in-depth study of frictional wear theory, which provides a more scientific explanation for the mechanism of abrasive particle formation.

The third is the research on computer graphic recognition technology, which will provide quantitative descriptions of abrasive features and even bring about fundamental changes in abrasive recognition methods.

·Experimental equipment:

PRF-III Rotating Ferrograph

PLD-MPCS2.0 Microscopic Particle Counting System

PLD-LAB-2.0 Ferrographic Analysis System

·Training example:

Typical abrasive particles in different wear periods of equipment, describing their morphological characteristics, introducing their identification methods, explaining their generation mechanisms, and comparing their corresponding machine states. It has both uniqueness and representativeness. The abrasive particle map with this as the main content has universal significance for grasping the characteristics and recognition methods of abrasive particles.

·Training industry:

Research institutes: colleges, research institutes, third-party testing institutions

·Military Industry: Three Armies, Aerospace, Aviation, Aviation, Ordnance Industry, Ordnance, Nuclear Industry

·Civil industry: steel, cement, ships, electricity, port machinery, mining machinery, engineering machinery

·Training clients:

Iron spectrum analysis technology learners from various industries

Third party testing agency - ferrography diagnostic monitoring project

Lubrication fault diagnosis and equipment maintenance personnel

Users who need to establish their own company or industry ferrography diagnostic monitoring specifications and standard spectrum libraries

 Training plan

·Training period: July 18, 2022 to July 17, 2023

·Training locations: Xi'an, Beijing, Suzhou, Shanghai, Nanjing, Chengdu, Taiyuan, Shenzhen, Shenyang, Harbin