As a key component of wind turbine, the numerical simulation and optimization of wind turbine forging have important practical significance. This paper will introduce the numerical simulation and optimization method of wind power forging production in order to improve production efficiency and quality, while reducing production cost and resource consumption.
In the production process of wind power forgings, numerical simulation method is widely used to predict the mechanical properties, thermal properties and microstructure changes of materials. Among them, finite element simulation and boundary element simulation are two common numerical simulation methods. By discretizing a continuous solution domain into a finite number of discrete elements, finite element simulation can numerically calculate the whole solution domain. The boundary element simulation discretized the solution domain of the problem into a series of boundaries, and the boundaries were numerically calculated.
Although the numerical simulation method is widely used in the production of wind power forgings, the advantages and disadvantages of various methods should be paid attention to in the actual operation. For example, finite element simulation can accurately simulate the mechanical and thermal properties of materials, but there are still some difficulties in the simulation of microstructure changes. On the other hand, the boundary element simulation requires higher boundary shape and boundary conditions, which need to be carefully considered.
In the optimization of wind power forging production, mixed integer programming is a common optimization method. By introducing integer variables into the optimization model, the method realizes the optimal control of wind power forging production. In addition, random forest is also an effective optimization method. This method finds the optimal solution by building multiple decision trees to classify the data or make regression predictions.
By analyzing the numerical simulation and optimization results, it can be found that there are some differences between the simulation results and the actual production situation. This is mainly due to the fact that there are many uncertainties in the actual production process, such as fluctuations in material composition and randomness of the processing process. Therefore, in the actual operation of wind power forging production, it is necessary to modify and adjust the numerical simulation and optimization results according to the actual situation.
In short, the numerical simulation and optimization of wind power forging production is of great significance in improving production efficiency and quality, reducing production cost and resource consumption. This paper introduces the methods of numerical simulation and optimization, their advantages and disadvantages, and analyzes the differences between simulation results and optimization effects and their reasons. Future research should further explore more accurate and efficient numerical simulation and optimization methods, and carry out more in-depth research combined with the actual production situation. It is hoped that this paper can provide some reference value for numerical simulation and optimization of wind power forging production.
