This paper aims to study the numerical simulation and simulation technology in the production process of thermal power forgings in order to improve product quality and optimize production process. Through the modeling and simulation of the production process of thermal power forgings, the product performance can be predicted and optimized, the production cost can be reduced, and the market competitive advantage can be provided for enterprises.
Thermal forging is a key component in thermal power generation industry, and its quality directly affects the operating efficiency and safety of thermal power generation equipment. With the adjustment of energy structure and the growth of power demand, the quality requirements of thermal power forgings are also increasing. Therefore, improving the production process of thermal power forgings and improving product quality is an important task for the development of the current industry. The application of numerical simulation and simulation technology in modern manufacturing industry is more and more extensive, which can effectively predict and optimize product performance, reduce production cost and improve production efficiency. This paper will study the numerical simulation and simulation technology in the production process of thermal power forgings to improve product quality and optimize production process.
Numerical simulation and simulation methods
modeling
Modeling is the first step of numerical simulation and simulation, which needs to establish a reasonable mathematical model according to the actual production process and technological requirements. In the production process of thermal power forging, many factors such as material properties, temperature field and stress field need to be considered, so the interaction and influence of these factors need to be fully considered in the modeling process.
The choice of simulation software
Selecting suitable simulation software is one of the key steps in numerical simulation and simulation. When selecting simulation software, it is necessary to consider the reliability, accuracy and ease of use of the software. Commonly used simulation software includes ANSYS, ABAQUS, DEFORM and so on.
Data acquisition and analysis methods
The method of data acquisition and analysis is one of the important steps of numerical simulation and simulation. By collecting the data in the actual production process, the simulation results can be verified and analyzed to improve the accuracy and reliability of the simulation. Commonly used data acquisition and analysis methods include experimental measurement, finite element analysis and so on.
Numerical simulation and simulation results of thermal power forging production
Through the simulation of different scenarios, various data results in the production process of thermal power forging can be obtained, including temperature field distribution, stress field distribution, material flow and so on. These results can provide important reference for the improvement of production process and the optimization of product quality. For example, by simulating the temperature field distribution and stress field distribution under different forging processes, defects and problems that may occur in the forging process, such as cracks and shrinkage holes, can be predicted and optimized. In addition, by simulating material flow, mold design and forging process can be optimized to improve product quality and production efficiency.
Through the analysis of the numerical simulation and simulation results in the production process of thermal power forging, the following conclusions can be drawn:
Numerical simulation and simulation technology can effectively predict and optimize the temperature field distribution, stress field distribution, material flow and other conditions in the production process of thermal power forging, and provide an important reference for the improvement of production process and product quality optimization.
By simulating the distribution of temperature field and stress field under different forging processes, the possible defects and problems such as cracks and shrinkage holes can be predicted and optimized. This helps to reduce production costs and improve production efficiency.
By simulating material flow, mold design and forging process can be optimized to improve product quality and production efficiency. This helps enterprises to better meet market demand and enhance competitiveness.
Numerical simulation and simulation technology have some limitations and errors in practical application, which need to be verified and analyzed in combination with actual production process and experimental data. This requires enterprises to continuously accumulate data and experience in actual production to improve the accuracy and reliability of the simulation.
This paper studies the numerical simulation and simulation technology in the production process of thermal power forgings, and analyzes its application prospect in improving product quality and optimizing production process. By means of modeling, selecting suitable simulation software and data acquisition and analysis methods, the temperature field distribution, stress field distribution and material flow in the production process of thermal power forging can be effectively predicted and optimized. This helps to reduce production costs and improve production efficiency, providing enterprises with better market competitive advantages. However, in practical applications, it is necessary to pay attention to the limitations and errors of numerical simulation and simulation technology, and to verify and analyze the actual production process and experimental data. Future research directions include further improving numerical simulation and simulation techniques to improve their accuracy and reliability; Explore new optimization algorithms and process parameter combinations to further improve product quality and production efficiency; The interaction and influence between different materials and processes are studied to provide more valuable reference for enterprises.
