- -43%
Nincs szín - 10x 38,5 mm-es dupla kétfuratos egyenes réses CNC maró bit fa MDF maró készlet
Nincs szín - 10x 38,5 mm-es dupla kétfuratos egyenes réses CNC maró bit fa MDF maró készlet
851 Ft
43% megtakarítás
1 493 Ft
Nincs adó
10x 38.5mm Double Two Flute Straight Slot CNC Router Bits Wood MDF Milling Kit
Features:
Double edged straight slot milling cutter.
Rustless and anti-static.
Durable in use.
Work perfect on milling or cutting machines.
Best performance with high precision.
High strength and hardness.
With storage box for easy to carrying.
High quality and brand new.
Specification:
Material: Tungsten Steel
Total Length: 38.5mm (Approx)
Usable Part Length: 17mm (Approx)
Cutting Diameter: 3.175mm (Approx)
Shank Diameter: 3.175mm (Approx)
Storage Box Dimension: 55*52*9mm (Approx)
Suitable Materials: Acrylic, PVC, MDF, plastic, wood, nylon, resin etc.
Package Contents:
10 * Double Edged Straight Slot Milling Cutter
1 * Storage Box
Notes:
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.
Features:
Double edged straight slot milling cutter.
Rustless and anti-static.
Durable in use.
Work perfect on milling or cutting machines.
Best performance with high precision.
High strength and hardness.
With storage box for easy to carrying.
High quality and brand new.
Specification:
Material: Tungsten Steel
Total Length: 38.5mm (Approx)
Usable Part Length: 17mm (Approx)
Cutting Diameter: 3.175mm (Approx)
Shank Diameter: 3.175mm (Approx)
Storage Box Dimension: 55*52*9mm (Approx)
Suitable Materials: Acrylic, PVC, MDF, plastic, wood, nylon, resin etc.
Package Contents:
10 * Double Edged Straight Slot Milling Cutter
1 * Storage Box
Notes:
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.
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