NSC M363 WIRE EDM MACHINE

Equipment Overview
Share Link- OEM
- NSC
- Model
- M363
- Year of Manufacture
- -
- Category
- WIRE EDM MACHINES
Market Value Calculator
A+Technical Description
The NSC M363 Wire EDM Machine is a high-precision CNC-controlled electrical discharge machining system designed for accurate and efficient cutting of complex metal parts. Featuring an X-axis travel of 31.5 inches and a Y-axis travel of 24.8 inches, the machine provides a generous work envelope suitable for a wide range of industrial applications, including mold making, tooling, and precision component manufacturing. The CNC control system ensures consistent, repeatable performance with fine positioning accuracy, enabling intricate contouring and tight tolerance machining. The machine utilizes a wire electrode to erode material through a series of rapid electrical discharges, making it ideal for hard metals and complex geometries that are difficult to machine with conventional methods. The robust construction and advanced CNC technology allow for stable, high-speed cutting with excellent surface finish and minimal kerf width. The NSC M363 is equipped with automatic wire threading and tension control systems, enhancing operational efficiency and reducing downtime. Its user-friendly interface simplifies programming and setup, while integrated safety features protect both operator and machine. Designed for reliability and versatility, the NSC M363 Wire EDM Machine is suitable for both high-volume production and low-volume, high-precision jobs, delivering consistent results across diverse manufacturing environments.
Technical Attributes
- X-Axis Travel
- 31.5 ''
- Y-Axis Travel
- 24.8 ''
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 reporting them here.