Abstract
With the transformation and upgrading of my country’s industrial structure, the level of manufacturing automation has gradually improved. According to research, the design of mechanical products is mostly completed by improvement or innovation on the basis of existing design knowledge. Knowledge reuse is a technique to ensure the maximization of design resource utilization by reusing design knowledge. This article applies knowledge reuse technology to the development and design of mechanical products. By integrating the technical logic of the functional analysis system with the development of quality functions, the transformation of customer demand information and product function design is realized, and the task of the product design plan analysis phase is completed. This paper uses the finite element analysis software ANSYS to explore a new nonlinear finite element modeling method and conducts simulation experiments. At the same time, this paper improves the genetic algorithm, which effectively improves the optimization efficiency and completes the parameter optimization under multiobjective and multistructure conditions. From the experimental results, it takes 328.64 seconds for the basic genetic algorithm to search for the optimal solution of the complex problem. The improved time is shortened to 86.31 seconds, and the efficiency is increased by 73.74%. This shows that the improved genetic algorithm has better robustness and can find the optimal solution in a shorter calculation time. For complex problems such as the optimization of the overall structure of special machinery, the improved genetic algorithm obviously helps to improve the optimization efficiency and improves the effectiveness and pertinence of product design schemes.
Highlights
Abroad, research on computational intelligence and structural optimization has accumulated a lot of excellent results
The optimized agricultural machinery can better deal with the severe vibration and impact that may occur during the work process, but the stability of the tubular structure needs to be appropriately improved [5]
It is concluded that the application research of knowledge reuse technology has brought progress to the design and development of mechanical products and the development of manufacturing enterprises, which means using the idea of functional analysis system technology and quality function deployment technology to successfully complete the transformation between customer demand information and structural design parameters and focus on the process of using multilevel classification technology to generate design plans and discuss the basic elements of multilevel decomposition
Summary
Ese classic optimization methods are limited by various conditions, so they can be used in a limited range, and it is difficult to meet the optimization of special machinery structures in complex environments [9] For this reason, it is necessary to introduce computer technology into intelligent optimization methods, imitate the evolution and development process of nature, and combine logic, mathematics, and science to realize project design and optimization. E most basic genetic algorithm operation process must first clarify the objective function, variable, variable search range, and search precision of the problem, determine the length of each design variable code, and code the variable [14]. E operating idea of the external point penalty function method is to define the constraints outside the feasible region through the penalty effect, and, in the search process, it gradually moves from the outside of the feasible region to the boundary until the optimal solution that meets the requirements is found. Because the parameter model studied in this paper is relatively complicated, when optimizing the parameter structure, this paper uses the advantages of computers in data storage and analysis, combined with the use of historical adaptive DE, and improves the intelligence of optimization [26]
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