BAMILL Beautiful Seam Cutting Saw Cutting Sheet Tile Cement Seam Cleaning Seam Cleaning
WM-BAMILL0415-10606a
sku: 2839876350
ACCORDING TO OUR RECORDS THIS PRODUCT IS NOT AVAILABLE NOW
$8.99
Shipping from: United States
Description
Feature: *Scope of application: tile cleaning slitting can also be used for cutting and grinding of glass marble soft ceramic and other material. *Description: no sand loss long life less dust and more environmentally friendly. *The inside of the slice is made of alloy steel which is not easy to be deformed by high-speed cutting. *High-quality diamond raw materials fine seam cleaning no damage to porcelain. *This process can firmly fix the diamond particles on the substrate and is not easy to fall off. *The product has been tested for dynamic balance when it leaves the factory please use it with confidence. *Applicable machines: Seam cleaning machine / Marble machine / Angle grinder / Electric grinder / Hand drill. *Scope of application: Ceramic tile/Antique tile/Vitrified tile/Marble/Granite/Glass. *Note: Metal wood plastic etc. are prohibited. Instructions for use: 1. This product is forbidden to use at low speed. 2. When cutting do not apply side pressure and curve cutting and try to keep the cutter feeding as smoothly as possible. 3. When cutting the operator must wear protective equipment. 4. After the saw blade is installed it should be idling for a few minutes to confirm that the saw blade does not swing or jump before cutting. Specifications: Product Name: Special Sheet For Clear Seam Material: Diamond Alloy Steel Color: Blue Optional Size: 60×16×1.2mm 80×16×1.2mm 100×20×1.2mm 100×20×1.7mm 100×20×2.2mm 100×20×2.7mm Suitable for: Ceramic tile/Antique tile/Vitrified tile/Marble/Granite/Glass. Quantity: 1Pc Package Included: 1 × Cutter Sheet 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.
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