
AMERA SEIKI S-33LC CNC LATHES
Specifications & Market Value

Equipment Overview
- OEM
- AMERA SEIKI
- Model
- S-33LC
- Year of manufacture
- -
Technical Description
This CNC lathe features a robust 15-inch chuck size, enabling secure clamping of large workpieces for high-precision turning operations. With a maximum swing of 30.7 inches and a turning diameter of 19.68 inches, the machine is well-suited for machining medium to large components with demanding dimensional requirements. The machining length of 47.2 inches allows for extended part production, making it ideal for shafts, hubs, and similar geometries. Powered by a 24.9 hp main drive, the lathe delivers strong torque and consistent performance for both roughing and finishing applications across a variety of materials. The CNC control system ensures accurate, repeatable machining with automated tool changes and programmable cycles, enhancing productivity and part consistency. The machine’s rigid bed construction and precision linear guides contribute to excellent dimensional accuracy and surface finish, supporting tight tolerances required in industrial applications. Designed for versatility, it accommodates a wide range of turning, facing, boring, and threading operations, making it suitable for general-purpose and high-volume production environments.
Technical Attributes
- Distance Between Centers
- 27.56 ''
- Max Spindle Speed
- 2500 RPM
- Spindle Bore Diameter
- 3.58 ''
- Control System
- FANUC 0I-TD
- Max Swing
- 30.70 ''
Category
- MACHINING
- → LATHES
- → CNC LATHES
Data Accuracy and Verification
Specifications, market trends, and valuation estimates are compiled from manufacturer documentation, historical sales, and 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 data before making buying or selling decisions. Valuations do not represent guaranteed transaction prices or binding offers, and Aucto assumes no liability for decisions made using this data.
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