Clevite MS-2223P-.50MM Main Bearing Set .50mm Undersize

The Clevite MS-2223P-.50MM is a high-performance main bearing set designed for engines requiring .50mm undersize bearings. This P-Series bearing set represents Clevite's proven line of performance engine bearings, engineered specifically for demanding racing and high-performance applications.

P-Series Performance Design:

• High eccentricity design optimizes oil film thickness and bearing contact patterns
• Full groove configuration in upper shells maximizes oil flow to connecting rod bearings
• High crush construction ensures maximum bearing retention under extreme loads
• Reduced overlay thickness prevents overlay fatigue and "hen tracking" damage
• Hardened steel backing provides exceptional strength and fretting resistance
• Trimetal construction combines copper-lead lining with lead-tin-copper overlay

Optimized Groove Design:

These main bearings feature Clevite's proven 180-degree groove in the upper shell, providing the ideal balance between oil supply to the connecting rods and maximum load-carrying capacity. The ungrooved lower shells develop a thicker oil film for improved bearing life and safety margin under high loads. This design reduces peak oil film pressure and minimizes parasitic horsepower loss compared to fully-grooved designs.

Applications:

P-Series main bearings are ideal for engines experiencing extreme RPMs that cause severe rod bore deformation. Use these bearings when you need higher eccentricity to narrow bearing contact patterns or when rod bearings show signs of oil starvation such as polishing, smearing, or discoloration at the axial center. The increased oil delivery capability makes P-Series bearings essential for high-output engines where connecting rod oiling is critical.

Each set includes precision-manufactured upper and lower bearing shells with consistent dimensions for proper crush and oil clearances. The .50mm undersize dimension accommodates crankshafts that have been ground undersize for journal repair or performance optimization.