In the production process of thermal power forgings, quality control is the key to ensure product performance and quality. In addition to the conventional quality control methods, such as material selection control, processing control, detection means control, there are also some other problems, such as the setting of key indicators and detection methods, treatment measures for different quality defects, data management and statistical analysis methods in quality control. This paper will analyze these problems and put forward the corresponding solutions.
Setting and testing methods of key indicators
In the production process of thermal power forgings, the setting and testing of key indexes are very important for quality control. These key indicators may include the chemical composition of the material, mechanical properties, metallographic structure, etc. To ensure the accuracy of these indicators, the following methods can be used:
Formulate detailed quality standards: According to product design requirements and actual production conditions, formulate detailed quality standards and clarify the permissible range of key indicators.
The use of advanced testing equipment: the use of advanced testing equipment and methods, such as spectral analysis, metallographic microscope observation, mechanical properties test, etc., to detect key indicators.
Periodically verify: Verify and maintain the testing equipment periodically to ensure the accuracy and reliability of the equipment.
Establishment of data recording and analysis system: Establishment of data recording and analysis system, real-time recording and analysis of test data, timely detection and solution of potential quality problems.
Treatment measures for different quality defects
In the production process of thermal power forging, there may be various quality defects, such as cracks, shrinkage holes, porosity and so on. For these defects, the following treatment measures can be taken:
Analyze the causes of defects: analyze the quality defects, find out the causes, and formulate targeted solutions.
Using repair technology: Using advanced repair technology, such as welding, heat treatment, etc., to repair defects.
Optimize the production process: Optimize the production process to reduce or avoid the occurrence of quality defects.
Strengthen staff training: strengthen staff training, improve staff skills and quality, reduce quality defects caused by human factors.
In the production process of thermal power forgings, data management and statistical analysis are of great significance to quality control. Through data management and statistical analysis, we can better understand the quality status in the production process and find and solve potential quality problems in time. Here are some common data management and statistical analysis methods:
Establish a quality database: Establish a quality database to record and analyze quality data in the production process in real time.
Statistical process control (SPC) : The SPC method is used to monitor and control key indicators in the production process and discover abnormal situations in time.
Conduct causal analysis: Conduct causal analysis of the quality problems, find out the root causes, and formulate targeted solutions.
Trend analysis: Trend analysis of quality data to predict future quality conditions and take preventive measures in advance.
In the production process of thermal power forgings, in addition to the conventional quality control methods, it is also necessary to pay attention to the setting and detection methods of key indicators, treatment measures for different quality defects, data management and statistical analysis methods in quality control. The quality control can be achieved better and the quality and performance of thermal power forgings can be improved by reasonable solution strategy. Therefore, enterprises should pay attention to the research and solution of these problems, strengthen the cultivation and improvement of quality awareness, and lay a solid foundation for achieving sustainable development and improving the competitiveness of enterprises.
