SDJCL/SDJCR/SDNCN 0808H07 Tool Holder with DCMT070204 Blade and 3pc Wrench Set
$ 11.56
Description
Features: brand new and high quality Made of high-quality materials, CVD, special tough fiber structure improves wear resistance and fracture resistance. It covers a wide range of applications, thereby reducing the number of tools required Ti composite coating, thin thickness, hardness=89.0HRA, bending strength=2.6GPa. Mainly used for stainless steel The bracket is solid and hard, with good cushioning effect Suitable for semi-finishing and finishing Maintain tight tolerances and excellent performance Using high-quality steel, long service life, reducing the cost of using tools High grip, strong resistance, and obvious speed advantages in large-scale cutting and processing Easy to replace, only need a wrench to complete the replacement of blades and gaskets It is very practical in various processing environments, even in very dirty environments, such as cast iron. Precision grinding, manual inspection Product parameters: Turning tool post model: SDJCL0808H07 Screw clamp 93° tool style Backward angle: 7° Tool left hand Wrench: T8 Screw: M2.5x6 Height x Width x Length: 0.31”x0.31”x3.94”=8mm x 8mm x 100mm Turning tool holder model: SDJCR0808H07 Screw clamp 93° tool style Backward angle: 7° Tool's right hand Wrench: T8 Screw: M2.5x6 Height x Width x Length: 0.31”x0.31”x3.94”=8mm x 8mm x 100mm Turning tool post model: SDNCN0808H07 Screw clamp 62.5° tool style Backward angle: 0° Wrench: T8 Screw: M2.5x6 Height x Width x Length: 0.31”x0.31”x3.94”=8mm x 8mm x 100mm Blade model: DCMT070204 Blade material: cemented carbide Blade color: gold Number of blades: 10pcs Package list: 1 * SDJCL0808H07 Turning tool holder 1 * SDJCR0808H07 Turning tool holder 1 * SDNCN0808H07 Turning tool holder 3 * Wrench 10 * DCMT070204 blade 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.
