This paper introduces the optimal design method of bearing blank based on response surface method. Based on the analysis of bearing blank design parameters, the response surface model is established, and the optimization algorithm is used to optimize the model, and finally the optimized bearing blank design scheme is obtained. The experimental results show that the optimized bearing blank has better performance and economic benefit.
Bearing is a key component in mechanical equipment, and its performance and service life are of great significance to the operation and maintenance of mechanical equipment. As the basis of bearing manufacturing, the design rationality of bearing blank directly affects the performance and service life of bearing. Therefore, it is of great practical significance to optimize the design of bearing blank.
Response surface method is a method to establish the relationship model between response variables and design parameters through experimental design and data analysis. Through the analysis and optimization of the response surface model, the optimal combination of design parameters can be found to improve the performance and economic benefit of the product.
The optimal design flow of bearing blank based on response surface method is as follows:
Design parameter selection: According to the characteristics of bearing blank and manufacturing process requirements, select the appropriate design parameters, such as material, size, structure, etc.
Experimental design: Adopt reasonable experimental design method to obtain enough experimental data.
Response surface model building: Using experimental data, the response surface model between response variables and design parameters is established.
Optimization algorithm selection: According to the optimization objectives and constraints, the appropriate optimization algorithm is selected to optimize the response surface model.
Analysis of optimization results: Analysis of optimization results to determine the optimal combination of design parameters.
The experimental results show that the optimal design method of bearing blank based on response surface method can effectively improve the performance and economic benefit of bearing blank. It is manifested in the following aspects:
The optimized bearing blank has higher load bearing capacity and longer service life.
The optimized bearing blank manufacturing process is more reasonable and the manufacturing cost is reduced.
The optimized bearing blank design scheme is more in line with the actual demand and improves the market competitiveness of the product.
The optimal design method of bearing blank based on response surface method can effectively improve the performance and economic benefit of bearing blank, and provide a new idea and method for the development of bearing manufacturing industry. In the future, the application of response surface method in other aspects of bearing manufacturing can be further studied to promote the innovative development of bearing manufacturing industry.
