Um sistema automático de identificação de mesa de trabalho para um centro de usinagem

This article introduces an automatic worktable identification system for a horizontal machining center. With this system, the worktable can be automatically identified, allowing the CNC system to automatically call the corresponding program for machining, thereby improving processing efficiency. The system features a simple structure, high reliability, and a high degree of automation. In addition to increasing productivity, it also helps prevent human errors. Due to the high precision and stability of the laser, the system can accommodate the identification of a large number of worktables.

With the development of China’s economy, it has become widely recognized that transforming labor-intensive, resource-consuming, and inefficient production modes is necessary. The rapid rise in labor costs and the shortage of highly skilled workers have further motivated enterprises to use robots to increase industrial added value and ensure product quality. Industrial robots and digital equipment now face significant development opportunities, and the automation level of machine tools continues to increase over time.

The worktable identification structure proposed in this article includes a protective support structure beneath the machine tool exchange area and the worktable itself. An identification block is fixed on the side of the worktable for recognition purposes. A single-lens laser transmitter-receiver is installed on the surface perpendicular to the identification block. The laser is emitted, reflected off the identification block, and received by the transmitter-receiver. By measuring the distances between the identification block and others, the system can determine the worktable number.

This identification structure is simple, easy to produce and install, and can recognize a large number of worktables. It accurately identifies the worktable, ensuring consistency between the machined workpiece and the system’s machining program. This improves the machining center’s efficiency, enhances automation, reduces workpiece processing costs, and effectively prevents accidents and unnecessary economic losses caused by human error, thereby improving the reliability of the production system.