Diagnostics of the condition and resource assessment of hazardous technical objects based on the acoustic emission method
The main purpose of the program is to promote the development by students of knowledge about the phenomenon and method of acoustic emission (AE), about objects that require AE control, the basic principles of creating, operating and using equipment and technologies for AE control, obtaining and processing acoustic emission information, methods acoustic emission monitoring and diagnostics of the state of technical objects.
The uniqueness of the program, its best practices, the peculiarity of the materials, installations and software used during the implementation of the school is expressed by an increase in the general scientific and methodological culture of research, mastering data mining, the development of the principles of information optimization of control and diagnosis, the skills of organizing and conducting control and determining nanoscale characteristics of strength, and resource prediction.
During the development of the program, students master the skills of organizing and conducting AE control, processing registered AE information, preparing documentation based on the results of AE control, principles for optimizing control and methods for assessing the quality and resource of objects in the chemical, petrochemical, oil, gas, mining and metallurgical industries.
- Fundamentals of diagnostics and the main provisions of the theory of reliability
- Acoustic emission method as a method of non-destructive testing and technical diagnosis
- Resource estimation as the main problem of acoustic emission diagnostics
- Principles of optimization of acoustic emission control technologies
- The equipment and methodological support of the AE method
- Organization of work during AE control
- The main systems for classifying sources and AE control technologies. Nanocharacteristics of strength and methods for their determination
- Evaluation of the health and resource of objects based on the results of AE control
- Analysis of the effectiveness of nanotechnology diagnostics