The mechanical processing industry, as an important part of the manufacturing sector, has been evolving towards diversification, intelligence and greenness under the impetus of technological progress and market demand in recent years.
Intelligence is an important trend for the future development of the mechanical processing industry. With the advancement of technologies such as artificial intelligence, the Internet of Things, and big data, intelligent manufacturing will gradually become the mainstream of the industry. By introducing intelligent equipment and systems, enterprises can achieve automation and optimization of the production process, thereby enhancing production efficiency and product quality.
The development trend of AI in the field of mechanical processing mainly lies in three aspects: intelligent upgrading, process optimization, and efficiency improvement.
** Intelligent upgrading drives changes in production models
Intelligent manufacturing has become a key path for the transformation of the mechanical processing industry. A certain aerospace manufacturing plant in Shandong Province optimized the tool paths and coolant flow using AI, reducing the original 3-day processing and debugging time to 4 hours, and increasing the product qualification rate from 82% to 99.7%. Similar cases indicate that AI systems can achieve automatic optimization of processing parameters, anomaly prediction, and remote operation, and some enterprises have achieved the “dark manufacturing” model (a production process with very little human intervention).
** Process optimization breaks through traditional limitations
AI demonstrates innovative advantages in the process design stage. For instance, automotive manufacturers use AI generative tools to optimize vehicle body structures, achieving lightweight designs and enhancing safety; humanoid robots, by learning complex movements, are gradually applied in transportation, inspection and other fields. These technological breakthroughs have broken through the physical limitations of traditional mechanical processing, driving the industry towards greater efficiency and intelligence.
** Double improvement in efficiency and quality
The AI quality inspection system can achieve full automation of a production line that inspects each pancake in 30 seconds, increasing the efficiency of manual inspection by over 90%. In the PCB industry, AI-driven drill needle equipment has seen an increase in consumable demand due to process optimization. These application scenarios demonstrate that AI is optimizing production processes through real-time data analysis, leading to a “dual leap” in industrial upgrading in terms of both efficiency and quality.
The future development of the mechanical processing industry will exhibit a diversified trend characterized by intelligence, personalization, greenness and digitalization. Enterprises need to actively adapt to these changes, driven by technological innovation and management improvement, and seek a sustainable development path. In the mechanical processing industry, which faces both opportunities and challenges, it will continue to make significant contributions to the development of the manufacturing sector. Through continuous efforts, the industry will achieve higher levels of production and services, injecting new vitality into the development of the social economy.
