Alat Burr Putar Keluli Berkelajuan Tinggi, Batang 6mm, 1pc, untuk Ukiran Kayu Plastik, Kikir Putar, TESE

*Made of high-speed steel quality manufacturing, not easy to break, , .

*Apply to: root tone, wood carving, mahogany furniture, aluminum, plastic, such as grinding, (steel and other hard material effect is not suitable).

*Note: When using the tool,be sure to clamp the tool, caught in the middle of the handle or front, remember not to clamp at the end of the handle, so as to avoid distortion of the grinding head, speed is not too fast, should low-speed, idling, and then appropriate speed adjustment,wear protective measures when used.

*Suitable for wood carving, root carving, wood grinding, carving and polishing, plastic polishing and deburring, soft metal polishing and welding scar rust removal, etc..

Specifications:

Product name: Rotary File

Material:High speed steel

Color: Silver

Size: (Approx. )

6×6×60mm A: Blade length 35mm; Edge diameter 6mm; Handle length 25mm; Shank diameter 6mm

6×6×80mm A: Blade length 50mm; Edge diameter 6mm; Handle length 30mm; Shank diameter 6mm

6×6×60mm L: Blade length 50mm; Edge diameter 6mm; Handle length 30mm; Shank diameter 6mm, Tip head

6×6×100mm A: Blade length 70mm; Edge diameter 6mm; Handle length 30mm; Shank diameter 6mm

6×8×80mm A: Blade length 50mm; Edge diameter 6mm; Handle length 30mm; Shank diameter 6mm

6×8×80mm L: Blade length 50mm; Edge diameter 6mm; Handle length 30mm; Shank diameter 6mm, Tip head

Optional Type: 6×6×60mm A, 6×6×80mm A, 6×6×60mm L, 6×6×100mm A, 6×8×80mm A, 6×8×80mm L

Suitable for: wood carving, root carving, wood grinding, carving and polishing, plastic polishing and deburring, soft metal polishing and welding scar rust removal, etc..

Quantity: 1 Pc

Package Includes: 

1 × Rotary File

Note:

1.Transition: 1cm=10mm=0.39inch.

2. 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.

3. Please allow slight manual measurement deviation for the data.