1pcs 45-162/163/165Coaxial Cable Stripper Fiber Optic Stripper Transverse Tube

Features: * This fiber optic buffer tube stripper has an adjustable blade that you can set to any depth to for ensure no nicks when the sheath enters the fiber optic buffer tube. * Transverse tube stripper, light weight, small size, simple to operate and easy to carry. Specification: Part name: Fiber bundle tube stripper Model (optional): 45-162, 45-163, 45-165 Material: plastic + metal Size: as shown in the picture Color: as shown in the picture 45-162 1. Suitable for stripping the outer sheath of 0-3.2mm indoor optical cables. 2. The depth of the blade is adjustable to for ensure that the optical fiber is not damaged. (2 straight blades horizontally, 1 round blade vertically) 3. Can be cut horizontally or slidably vertically. 4. Suitable for twisted pairs, tightly wound cables, CATV cables and other power cables. 45-163 1. Tool for transversely cutting loose optical fiber ferrules. 2. Also suitable for stripping 3.2-5.6mm indoor cable sheath. 3. The depth of the blade is adjustable to for ensure that the optical fiber is not damaged. (2 straight blades horizontally, 1 round blade vertically) 4. Can be cut horizontally or vertically. 5. Suitable for twisted pairs, tight-clad twisted pairs, CATV cables and other forms of power cables. 45-165 1. Suitable for stripping cable sheaths with a diameter of 4.8mm to 7.9mm, including 3 straight-blade knives and 1 curved-blade . 2. The cutting depth of the blade can be set freely to for ensure safe peeling without damaging the core. It is suitable for different diameters and 3. Cables of different thicknesses; can be cut horizontally or vertically, suitable for indoor dendritic cable sheaths, ribbon cable loose tubes, and CATV micro-coaxial cables. Package Contents: 1 x Fiber Bundle Stripper 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.