3D CNC Edge Finder With Enhanced Durability And Convenient Carrying Case

3D CNC Edge Finder With Enhanced Durability And Convenient Carrying Case DESCRIPTION Features: * The 3D Edge Measuring Instrument is designed for milling and EDM machines, with precise measurement and versatility. It ensures accurate execution of machining tasks and avoids repeated rework. * After the 3D sensor probe is clamped to the machine spindle, the T.I.R. will be fully adjusted to the for zero position, thereby accurately positioning the spindle axis to the edge of the workpiece, the accuracy of the machining operation. * The 3D Edge Measuring Instrument is for easy to operate. Simply set the probe to the for zero position, and the user can easily and accurately operate the instrument to check the parts directly on the machine tool. Even novice users can start measuring immediately. * The 3D Edge Locator is made of aluminum alloy, which is both lightweight and high-strength. This sturdy structure ensures the durability and service life of the tool, and it can remain stable even if it accidentally falls to the floor. * The 3D Edge Detector comes with a wooden packaging box for easy storage and transportation. This not only ensures the safety of the probe, but also allows the instrument to be easily carried to different work locations, increasing its portability and practicality. Specifications: Part name: 3D edge measuring instrument Material: aluminum alloy Color: as shown in the figure Size: handle diameter: 20 mm Measuring feeler gauge diameter: 4 mm Dial graduation value ( position short graduation value range); Radial: 0.01mm Axial: 0.01mm Feeler gauge measurement range; Radial: 0-2mm Axial: 0-0.6mm Error: 0.008 Measurement depth: 30 mm Package contents: 1 x 3D edge measuring instrument 1 x User manual 1 x Storage box Note: 1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness. 2.Please allow slight manual measurement deviation for the data.