Brand: FAFNIR
FAFNIR MUOA 1 11/16 NIII KRB Heavy Duty Cast Iron Pillow Block Bearing Unit | Eccentric Locking Collar
The FAFNIR MUOA 1 11/16 NIII KRB is a robust, heavy-duty mounted bearing unit specifically engineered for demanding industrial environments. Featuring a rugged cast iron pillow block housing (MUO type) and a 1 11/16 inch bore, this unit incorporates the patented NIII sealing system—a highly effective, triple-barrier seal designed to exclude contaminants like dust, moisture, and fine particles, while retaining lubrication. The bearing insert utilizes the KRB eccentric locking collar mechanism, ensuring secure shaft fit-up, excellent concentricity, and superior resistance to loosening under vibratory or reversing loads. Its self-aligning capability compensates for static misalignment, drastically reducing stress on the shaft and extending bearing service life.
Designed for ease of installation and reduced maintenance, the MUOA 1 11/16 unit is pre-lubricated and ready for immediate deployment in critical applications such as high-volume conveyor systems, agricultural machinery, forestry equipment, and pulp and paper processing. The durable cast iron construction provides maximum rigidity and shock load resistance, translating directly into fewer unexpected shutdowns and optimized operational throughput. Investing in the FAFNIR MUOA series ensures superior reliability, minimizing total cost of ownership through extended maintenance intervals and proven performance in harsh operating conditions.
Key Features
Heavy Duty Cast Iron Housing provides maximum rigidity and shock absorption.
NIII Triple-Barrier Seal configuration protects against severe contamination and retains lubricant.
Eccentric Locking Collar (KRB) ensures a tight shaft grip, minimizing potential for creep and wear.
Self-aligning spherical bore compensates for installation errors and shaft deflection.
Pre-lubricated with high-quality grease for immediate plug-and-play operation.
Designed for demanding applications in agriculture, bulk handling, and aggregate processing.
