Abstract

The development of science and technology, the gradual promotion of various new technology tools in various fields, and mechanical design also actively encourage the continuous application of various new technologies. The design provides higher comfort, greatly reduces product design time, and creates higher economic benefits for the enterprise. The application of computer-aided design in mechanical design is briefly discussed. The scheme design of the mechanical system directly determines the function, quality and cost of the product and is the key to product design. At present, the research and application of computer-aided design technology in the design information expression, structural performance analysis and product data management of general mechanical systems are becoming more mature, but the support for scheme design is still relatively weak. Given that computer-aided solution design of mechanical systems often relies on expertise in specific fields, and may require the use of dedicated design models and specific intelligent design methods based on the characteristics of the design problem, most of its research and development work is aimed at specific areas and used for special purpose systems for mechanical systems. Two principles of innovative design ideas are summarized: the shortest path principle and the similarity principle, the current research flaws based on modern proof technology are analyzed, and a combination of genetic algorithms is proposed to solve it. A quantitative method of physical similarity was proposed, and the similarity was used as the basis to combine genetic algorithm with computer-aided and initial population selection to create an improved genetic algorithm. In this paper, a computer-aided innovation design system based on WEB is studied. This article takes automobile cover molds as an object. When the mechanical system workload is 20J, the traditional method consumes 60,000 yuan, and this article consumes 13,000 yuan. When the mechanical system workload is 60J, the traditional time consumed by this method is 50min, and the time consumed by this method is 15min. The working efficiency of the traditional method is 70%, and the working efficiency of this method is 93%.

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