Intelligent Development of smtcl CNC Machine Tools

With the advancement of artificial intelligence technology, the intelligence level of CNC machine tools continues to improve to meet the growing demands for flexible manufacturing and automated production in the manufacturing industry. This is specifically reflected in the following aspects:

(1) Adaptive Control Technology in Machining Process: By monitoring cutting forces, spindle and feed motor power, current, voltage, and other parameters during machining, traditional or modern algorithms are employed to identify tool forces, wear, damage conditions, and machine stability. Based on these conditions, machining parameters (spindle speed, feed rate) and processing commands are adjusted in real time to maintain optimal equipment performance, thereby enhancing machining accuracy, reducing surface roughness, and improving operational safety;

(2) Intelligent Optimization and Selection of Machining Parameters: By employing modern intelligent methods, the experience of process experts or technicians, along with general and specific principles of part machining, is utilized to construct an "Intelligent Optimization and Selection of Machining Parameters" based on expert systems or models. This tool is then used to obtain optimized machining parameters, thereby improving programming efficiency, enhancing machining process quality, and reducing production preparation time;

(3) Intelligent fault self-diagnosis and self-repair technology: Based on existing fault information, modern intelligent methods are applied to achieve rapid and accurate fault localization;

(4) Intelligent Fault Replay and Simulation Technology: Capable of comprehensively recording all system information, it can replay and simulate various errors and incidents occurring in CNC machine tools to identify the causes of errors, develop solutions, and accumulate production experience;

(5) Intelligent communication servo drive device: An intelligent servo system capable of automatically identifying loads and adjusting parameters, including intelligent spindle AC drive devices and intelligent feed servo devices. This drive device can automatically recognize the rotational inertia of motors and loads, and optimize and adjust control system parameters to achieve optimal operation of the drive system;

(6) Intelligent 4M CNC System: During the manufacturing process, the integration of machining and inspection serves as an effective approach to achieve rapid manufacturing, rapid inspection, and rapid response. By combining Measurement, Modelling, Manufacturing, and Manipulator (i.e., the four Ms) into a single system, information sharing is realized, promoting the integration of measurement, modelling, manufacturing, clamping, and operation.