As an important industrial component, metal forgings are widely used in machinery, automobile, aerospace and other fields. With the development of science and technology and the intensification of market competition, improving the quality of metal forging manufacturing process, reducing costs and shortening delivery time have become important challenges faced by enterprises. This paper will combine the manufacturing process and system engineering of hardware forgings to discuss its integration and optimization.
Manufacturing process analysis
The manufacturing process of metal forgings mainly includes the following links:
Raw material purchase: Purchase appropriate metal raw materials according to the production plan;
Mold design: mold design according to product requirements;
Billet preparation: the raw materials are heated, rolled and other operations to prepare the billet suitable for forging;
Forging: the blank is put into the mold for forging to form the desired shape;
Heat treatment: through heating, cooling and other operations to change the internal structure of metal materials, improve material performance;
Machining: the metal parts after forging are turned, milling and other processing operations to meet the accuracy requirements;
Quality inspection: Strict inspection of finished products to ensure quality.
In the above links, mold design, forging and heat treatment are the key links of the entire manufacturing process. These links not only directly affect the quality and performance of metal forgings, but also account for most of the cost of the manufacturing process. Therefore, in-depth analysis and evaluation of these key links will help to optimize the entire manufacturing process.
System engineering integration
System engineering is a method to optimize the structure, behavior and performance of the system by using various engineering and technical means to achieve specific goals. In the manufacturing process of metal forgings, the idea of system engineering can be introduced, the various manufacturing links are regarded as a whole, and through the integration and optimization of various links, the systematization, information and intelligence of the manufacturing process can be realized.
Specifically, system integration can be carried out from the following aspects:
Information platform construction: Through the establishment of information platform, raw material procurement, mold design, blank preparation, forging, heat treatment, mechanical processing, quality testing and other links are integrated to achieve data sharing and information interaction;
Process optimization: Combined with the actual situation in the manufacturing process, the key links such as mold design, forging and heat treatment are deeply analyzed and evaluated, potential problems and bottlenecks are identified, and corresponding optimization strategies are proposed;
Equipment resource integration: comprehensively comb the existing equipment resources, rationally allocate and layout production equipment, testing equipment and other resources to improve equipment utilization and production efficiency;
Quality management system construction: The establishment of a sound quality management system, strict quality control of each manufacturing link, to ensure stable and reliable product quality.
Optimization strategy
On the basis of system engineering integration, the following optimization strategies can be proposed:
In the mold design stage, digital design tools are used for modeling and analysis to improve design quality and efficiency;
In forging stage, intelligent forging equipment is introduced to improve forging efficiency and quality through precise control of process parameters;
Heat treatment stage, the use of advanced heating and cooling technology, optimize the heat treatment process, improve material properties;
Machining stage, the introduction of CNC machine tools and other intelligent equipment to improve processing accuracy and production efficiency;
In the quality inspection stage, automatic inspection equipment is introduced to improve the accuracy and efficiency of inspection.
Taking a metal forging manufacturing enterprise as an example, the enterprise introduced an information platform in the production process to realize the data sharing and information interaction of each manufacturing link. At the same time, through in-depth analysis and evaluation of key links such as mold design, forging and heat treatment, the company has adopted corresponding optimization strategies. For example, the use of digital mold design tools to improve design quality and efficiency; Intelligent forging equipment is introduced to improve forging efficiency and quality. Advanced heat treatment technology is used to improve the material properties. In addition, the company has also comprehensively combed and optimized the existing equipment resources to improve equipment utilization and production efficiency.
Through the implementation of these optimization strategies, the company not only improves the quality and performance of metal forgings, but also reduces the production cost and delivery time. At the same time, the overall competitiveness of the enterprise has been improved, and the enterprise has won more market share in the fierce market competition.
Based on the manufacturing process and system engineering of metal forgings, this paper discusses the integration and optimization. Through analyzing the manufacturing process and key links of metal forgings, the ideas and methods of system engineering integration are put forward, and the corresponding optimization strategies are put forward. Finally, through the analysis of practical cases, the application effect of the theory and method described in this paper is verified in the actual production.
Looking to the future, with the continuous development of science and technology and the changing needs of society, the metal forging industry will face more challenges and opportunities. In order to further improve the quality of the manufacturing process, reduce costs and shorten the delivery time, enterprises need to continue to deepen integration and optimization on the existing basis, and actively introduce new technologies, new methods and new concepts. For example, we can try to introduce advanced technological means such as artificial intelligence and big data to control and optimize the manufacturing process more accurately. It can explore to establish closer cooperation with suppliers, customers and other upstream and downstream enterprises to achieve collaborative optimization of the industrial chain; Attention can be paid to emerging areas such as green manufacturing and sustainable development to meet the increasingly high environmental protection and resource efficiency requirements of the manufacturing industry.
