Optimization and Application of Machining Process Based on Intelligent Control Algorithm

With the intensification of manufacturing competition and the diversification of customer demand, the machining industry is facing unprecedented challenges. In order to improve production efficiency, reduce costs and meet the requirements of high-quality products, technological innovation and process optimization are urgently needed in the industry. By analyzing the principle of intelligent control algorithm and its application in machining, this paper puts forward an intelligent control strategy combining fuzzy control and neural network to realize real-time monitoring and dynamic parameter adjustment of machining process. This study introduces the proposed optimization scheme in detail, including the design of fuzzy controller, the construction of neural network model and their fusion application in machining parameter adjustment. The experimental design is based on a precision mechanical parts processing factory. By monitoring cutting force, temperature, vibration and other data in real time, the machining parameters such as cutting speed, feed rate and cutting depth are dynamically adjusted by intelligent control algorithm to optimize the machining process. The experimental results show that the optimization scheme of machining process based on intelligent control algorithm has achieved remarkable results in improving machining accuracy, efficiency and stability. Compared with the traditional machining mode, the intelligent control mode is superior in reducing the dimensional deviation of bearing sleeve, improving machining accuracy and product consistency. At the same time, the intelligent control mode improves the production efficiency, reduces the production cost and enhances the competitiveness of enterprises by reducing the overall processing time. This study not only verifies the effectiveness of intelligent control algorithm in machining, but also provides new ideas and methods for the continuous innovation and development of machining industry.