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Location Rare K Minerals Sdn. Bhd.
Level 3, Menara BRDB,
3.02D, East Wing,
285 Jalan Maarof,
Bangsar - 59000,
Kuala Lumpur,
Malaysia.
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RK GARNET #08/12

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RK GARNET #08/12: Product Overview

RK GARNET #08/12 is an extra coarse, high-performance abrasive designed for demanding industrial surface preparation applications. Its large particle size and superior hardness enable rapid removal of heavy mill scale, thick rust layers, and stubborn coatings from large steel structures. This grade is especially suitable for projects that require aggressive cleaning and maximum blasting efficiency.

Manufactured from 100% virgin Indian garnet, RK GARNET #08/12 delivers consistent grain size, low dust generation, and excellent cutting power. It is widely used in shipyards, heavy fabrication facilities, offshore structures, and infrastructure maintenance projects where durability and productivity are critical. By providing faster surface preparation and improved blasting performance, RK GARNET #08/12 helps businesses reduce operational time and achieve reliable surface quality for industrial coating systems.

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Typical Applications

  • Heavy steel structure surface preparation
  • Removal of thick mill scale and corrosion layers
  • Initial blasting for shipyard hull maintenance
  • Offshore platform and marine structure cleaning
  • Bridge and large fabrication projects
  • Pre-treatment blasting before industrial coatings

Specifications

Typical Mineralogical Analysis
Mineral purity of Garnet 98.80
Free Silica 0.20 %
Others 1.0%
Typical Chemical Analysis
SiO2 36.97 %
Al2O3 20.62 %
Fe2O3 38.28 %
MgO 1.85 %
CaO 1.07 %
TiO2 0.13 %
Sieve Analysis (Typical)
M.M ASTM Standard % Actual % CUM %
1.900 +08 0 ~ 5 2.20 2.20
1.700 +12 10 ~ 21 15.90 18.1
1.400 +14 70 ~ 85 77.44 95.54
1.000 +18 0 ~ 7 3.28 98.82
0.850 +20 0 ~ 3 1.18 100

  • SPECIFIC GRAVITY: 4.104 gm/cc
  • BULK DENSITY: 2,341 Kg/M³
  • HARDNESS (Moh’s): 7.5
  • CHLORIDE: 13.36 PPM

Note: Variations in the size of grains occur from time to time although not guaranteed the grain distributions can be expected to be within the above ranges.

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