In the medical device assembly process, the machining accuracy of each component is directly related to the safety and reliability of the final product.

This miniaturization trend poses unprecedented challenges to the design and manufacturing of precision parts processing and customization.

The safety of explosion-proof camera housings is crucial in high-risk environments. They not only protect the cameras inside from external threats but also ensure the stable operation of the entire surveillance system.

The online detection function of CNC machining further ensures the minimization of dimensional errors.

The programming process of CNC lathe machining begins with the analysis of part drawings, which is the basis for ensuring programming accuracy.

The CNC system of the composite equipment has a built-in process database, which can automatically recommend cutting parameters based on part materials and processing procedures, and continuously optimize through machine learning.