1A1 100*15.88*31.75*6mm D91 Resin And Metal Hybrid Bond Diamond Grinding Wheel Higher Efficiency Longer Life

Product Description:

Hybrid grinding wheels are a combination of resin and metal, offering enhanced grinding and retention properties. They are currently widely used for batch processing of carbide and high-speed steel tools.This hybrid structure enables efficient grinding of hard and brittle materials (such as carbide, ceramics, glass, and tungsten carbide), as well as challenging steels (such as high-speed steel, tool steel, and stainless steel) and some metal composites. Its excellent chip evacuation and cooling properties reduce friction during grinding, resulting in less grinding heat and helping to prevent workpiece burns, microcracks, and metallographic changes. It is particularly well-suited for precision and ultra-precision machining.

Features:

• Mixed bond
• Widely applicable
• High grinding ratio
• High grinding ratio
• Willfulness and flexibility
• Very long lifespan
• Very good self-sharpening
• Excellent surface quality  

Technical Parameters:

Applications:

Hybrit diamond grinding wheels, due to their superior performance, are widely used in applications requiring high precision, high efficiency, and long life:

Carbide tool grinding: Sharpening and flute grinding of milling cutters, drills, reamers, and taps.

Aerospace and automotive industries: Grinding precision components made of high-temperature alloys and composite materials, such as engine parts, turbine blades, and fuel injectors.

Cutting tool manufacturing: Essential tools for manufacturing PCD (polycrystalline diamond) and PCBN (polycrystalline cubic boron nitride) tools.

Precision component machining: Precision grinding of carbide or ceramic parts, such as bearings, guide rails, and seal rings.

Semiconductor and optical industries: Machining of sapphire substrates, silicon crystals, and optical glass.

If you have specific processing requirements, please contact us directly. We can provide the most suitable Hybrit product model and processing parameter recommendations.