Thermal power forging is an important component in thermal power generation industry, its quality and performance directly affect the operating efficiency and safety of thermal power generation equipment. In order to meet the higher usage requirements, it is particularly important to refine the production process of thermal power forging. This paper will analyze and discuss the refined transformation of the production process of thermal power forgings, aiming at improving the quality and performance of thermal power forgings, reducing the production cost and enhancing the competitiveness of enterprises.
At present, the research on the refinement of the production process of thermal power forgings is mainly concentrated in the following aspects:
Material selection: Alloy steel with high strength, high toughness, wear resistance and corrosion resistance is selected to improve the mechanical properties and oxidation resistance of thermal power forgings.
Forging process: The use of advanced forging technology and equipment, such as precision forging, isothermal forging, etc., to improve the dimensional accuracy and internal quality of thermal power forging.
Heat treatment process: The use of advanced heat treatment technology and equipment, such as vacuum heat treatment, induction heat treatment, etc., to improve the mechanical properties and oxidation resistance of thermal power forgings.
Detection means: The use of advanced non-destructive testing technology and equipment, such as ultrasonic testing, X-ray testing, etc., to improve the detection accuracy and reliability of thermal power forgings.
However, there are still some problems and challenges in the process of refining the production process of thermal power forging. For example, the cost of materials is high, the investment of forging equipment and heat treatment equipment is large, and the accuracy and reliability of non-destructive testing technology needs to be further improved. Therefore, it is necessary to conduct in-depth research on these problems and put forward effective solutions.
In view of the problems and challenges existing in the production process of thermal power forging, the following refined transformation schemes are proposed:
Optimization of material selection: The selection of alloy steel materials with higher cost performance, such as CrMo steel, MnMo steel, etc., in order to reduce costs and improve the mechanical properties and oxidation resistance of the material.
Improve the forging process: the use of advanced forging technology and equipment, such as precision forging, isothermal forging, etc., to improve the dimensional accuracy and internal quality of thermal power forging. At the same time, the forging process parameters, such as forging temperature, deformation speed, deformation amount, etc. are optimized to improve the utilization rate of materials and reduce energy consumption.
Optimize the heat treatment process: The use of advanced heat treatment technology and equipment, such as vacuum heat treatment, induction heat treatment, etc., to improve the mechanical properties and oxidation resistance of thermal power forgings. At the same time, optimize the heat treatment process parameters, such as heating temperature, holding time, cooling speed, etc., to reduce energy consumption and improve product quality.
Improved testing means: the use of advanced non-destructive testing technology and equipment, such as ultrasonic testing, X-ray testing, etc., to improve the detection accuracy and reliability of thermal power forgings. At the same time, strengthen the training and management of testing personnel to improve the level and quality of testing.
Introduction of intelligent technology: The introduction of intelligent technology such as artificial intelligence and the Internet of things to achieve automation and intelligence of the production process and improve production efficiency and quality. For example, intelligent sensors are used to monitor and adjust the temperature, pressure, flow and other parameters in the production process in real time; Machine learning algorithm is used to predict and control product quality.
In order to verify the feasibility and effectiveness of the transformation scheme, the following process experiments were carried out:
Material selection experiment: different grades of alloy steel materials are selected to test the mechanical properties and antioxidant properties, and the best grade of material is selected.
Forging process experiment: Using different forging technology and equipment, the trial production and production of thermal power forging, comparative analysis of different processes on product quality.
Heat treatment process experiment: Using different heat treatment technology and equipment, the trial production and production of thermal power forging, compare and analyze the influence of different processes on product quality.
Testing means experiment: Using different non-destructive testing technology and equipment to test thermal power forgings, compare and analyze the accuracy and reliability of different testing means.
Intelligent technology application experiment: artificial intelligence, Internet of things and other intelligent technologies are introduced to achieve automation and intelligence of the production process, and the role of different technologies in improving production efficiency and quality is compared and analyzed.
Through the refined transformation experiment and analysis of the production process of thermal power forging, the following conclusions are drawn:
The optimization of material selection can effectively reduce the cost and improve the mechanical properties and oxidation resistance of materials.
The dimensional accuracy and internal quality of thermal power forgings can be improved by improving the forging process.
Optimization of heat treatment process can improve the mechanical properties and oxidation resistance of thermal power forgings.
Improving the detection means can improve the detection accuracy and reliability of thermal power forgings.
The introduction of intelligent technology can realize the automation and intelligence of the production process and improve the production efficiency and quality.
However, there are also some problems and challenges in the process of transformation. For example, the cost of materials is still high, the investment in forging equipment and heat treatment equipment is large, and the precision and reliability of non-destructive testing technology needs to be further improved. Therefore, it is necessary to conduct in-depth research on these problems and put forward effective solutions. At the same time, it is also necessary to strengthen cooperation and exchanges between enterprises to jointly promote the refined transformation and progress of the thermal power forging production process.
In this paper, the present situation and existing problems of the production process of thermal power forging are analyzed, and the refined transformation scheme is put forward and verified by experiment. By optimizing material selection, improving forging process, optimizing heat treatment process, improving testing means and introducing intelligent technology, the quality and performance of thermal power forgings can be effectively improved, the production cost can be reduced, and the competitiveness of enterprises can be enhanced. However, in the process of transformation, it is also necessary to conduct in-depth research and solve the existing problems. Future research directions include further reducing material costs, improving the utilization and efficiency of forging equipment and heat treatment equipment, developing new non-destructive testing technology and improving the application of intelligent technology.
