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Deep carving CNC: Detailed explanation of the working principle of the CNC system for profile machining centers
Date: 2025-09-05Read: 6
In the field of profile processing, the core competitiveness of deep carving CNC profile machining centers lies in their customized CNC systems. As the "brain and nerve center" of the device, this system transforms processing requirements into precise mechanical actions through multi module collaboration. Its working principle can revolve around a closed-loop process of "instruction parsing data processing execution control feedback adjustment", adapting to complex processing scenarios of different materials such as aluminum profiles and steel profiles.
The first step is the instruction reception and parsing process. The operator inputs machining parameters through the human-machine interface (HMI) of the CNC system, or imports G-code files generated by CAD/CAM software - these codes contain key information such as cutting paths, drilling positions, milling depths, etc. of the profiles. The "instruction parsing module" of the system will perform syntax verification and semantic conversion on the code, converting abstract numerical instructions into recognizable process parameters, such as converting "milling depth 5mm" into servo motor displacement, spindle speed threshold, etc. At the same time, combined with the material characteristics of the profile (such as aluminum profiles that are prone to deformation and need to reduce feed rate), preliminary parameter adaptation will be carried out to ensure that the instructions meet actual processing requirements.
Next is data processing and path planning. The parsed parameters will be transmitted to the "motion control core" of the system, which is based on a dedicated algorithm developed by deep carving CNC for profile processing, and performs real-time data computation and path optimization. Due to the fact that profile processing often involves long material feed (such as aluminum profiles over 6 meters), the system needs to focus on solving the problems of "path smoothness in continuous processing" and "multi axis collaborative accuracy": on the one hand, the continuous motion trajectory of the tool is generated through interpolation algorithms (such as linear interpolation and arc interpolation) to avoid machining marks caused by path breakpoints; On the other hand, coordinate the motion timing of the X-axis (profile feed), Y-axis (tool lateral movement), Z-axis (tool lifting), and rotation axis to ensure multi axis synchronous action. For example, during profile drilling, precise coordination between Z-axis drilling and X-axis feed is required to prevent hole displacement. In addition, the system will automatically avoid interference areas by combining the clamping position of the profile to prevent collisions between the tool and the fixture.
Finally, there is execution control and feedback regulation. The driving signal generated by the motion control core will be transmitted to the servo drive system, which drives the motor, spindle and other executing components to move: the servo motor drives the worktable or tool to move according to the displacement command, while the spindle achieves cutting, milling and other machining actions at the set speed. At the same time, the system collects key data in real time through the "real-time feedback module" - the grating ruler detects the actual displacement of each axis, the torque sensor monitors the spindle load, and the temperature sensor captures the motor temperature. These data will be continuously transmitted back to the motion control core. If there is a deviation (such as the feed rate of the profile lagging behind the command value), the system will immediately trigger the adjustment mechanism to correct the drive signal of the servo motor or adjust the spindle speed to match the load change, forming a closed-loop control to ensure that the machining accuracy is stable within the set range.
In summary, the CNC system of the deep carving CNC profile machining center, through efficient collaboration of instruction parsing, data computation, and execution feedback, not only solves the technical difficulties of "long dimensions and multiple processes" in profile machining, but also adapts to different profile characteristics through customized algorithms, providing reliable technical support for high-precision and high-efficiency profile machining.