The Yong Ju Precision Technology Co. Ltd. 4 STAR FD-2452 Vertical Machining Center is a robust CNC machine designed for precision vertical milling operations. It features a large worktable measuring 204.7 inches in length by 94.5 inches in width, accommodating sizable workpieces without additional support tables or rotary tables. The machine operates on a 3-axis system (X, Y, Z) with an optional 4th axis available, providing versatility for complex machining tasks. Its spindle is vertically oriented with a CT-50 taper, delivering a top speed of 6,000 RPM, with an optional maximum speed of 4,500 RPM, powered by a 35 HP motor rated for 30-minute operation and up to 40 HP optionally.
The FD-2452 is equipped with a 32-tool automatic tool changer (ATC), expandable to 120 tools for extended machining cycles without interruption. The machine is optimized for high precision and rigidity, suitable for heavy-duty and large-scale manufacturing applications. Rapid feed rates and travels are designed to maximize productivity, though specific travel distances and feed rates were not detailed in the provided data. This machine is part of Yong Ju’s "FOUR-STAR" product line, emphasizing excellence, confidence, intellect, and service within a durable and high-precision framework. The FD-2452 is ideal for industries requiring reliable vertical machining centers capable of handling diverse tooling and complex precision parts efficiently.
Yong Ju Precision Technology Co. Ltd. 4 STAR FD-2452 VERTICAL MACHINING CENTER Technical Specifications | Aucto
Technical Attributes
Max Spindle Speed
6,000.00
Table Size (LxW)
204.7 x 94.5
Spindle Power
35.00 HP
Data Accuracy and Verification
Specifications and technical details are compiled from manufacturer documentation, historical records, and third-party industry sources. While care is taken to ensure accuracy, this information is provided for reference purposes only and may contain errors or omissions. Users should independently verify all details before relying on them.
If you identify any inaccuracies, please help us improve our data by