With the development of manufacturing industry in countries such as Germany, the quality requirements for automotive parts processing are becoming higher and higher. Among them, automotive forged parts are a widely used component. During the process of automotive forged parts machining, the main problem is that due to the different microstructures of the materials, changes in processing parameters, such as cutting force and temperature, are quite complex. This brings challenges to machining accuracy, automation, efficiency, process selection, cost, etc.
To solve the above problems, automotive forged parts machining adaptive control technology has emerged. The adaptive control technology uses sensors to monitor the real-time cutting force, temperature, wear, vibration and other states, and feedback to the machining control system, so that the machining control system can automatically adjust the machining parameters according to the current state, achieving the optimal machining effect and quality, and improving the intelligence of machining.
Currently, adaptive control technology for machining of automotive forged parts has been widely used in China. For example, in the process of hydraulic valve seat forging at a certain automobile company, adaptive control technology has been successfully used. The company installed multiple sensors such as wear sensors, force sensors and vibration sensors in the production workshop to monitor the status of the forged parts in real-time, and adjust the processing parameters according to the status, making the product size and shape more stable, and improving the machining efficiency by more than 10% while reducing costs.
In the future, automotive forged parts machining adaptive control technology will become more intelligent, with enhanced adaptive ability and response speed, which will have broad application prospects for improving product quality, reducing costs, and improving the machining environment.
