SKF
Overview (Spherical Plain Bearing Selection)
This overview introduces the systematic process for selecting a spherical plain bearing or rod end, covering the complete journey from understanding application demands to generating a final part number. It sets out the key decision stages: defining loads and motions, choosing the bearing type and sliding material, selecting the appropriate size based on static and dynamic ratings, verifying pV and friction, designing the surrounding interfaces, and planning lubrication and maintenance. The goal is to provide a framework that prevents the most common selection errors — such as choosing an incorrect liner or under-sizing for dynamic oscillation. SKF’s tools and engineering handbooks accompany each step with calculation formulas and real-world examples, ensuring that engineers of all experience levels can confidently specify the right articulated joint.
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Structured Decision Path
Step‑by‑step from application analysis to final part number.
Material‑First Thinking
Sliding material choice (steel/steel, PTFE, composite) drives all subsequent decisions.
Load and Motion Clarity
Defines static vs. dynamic loading, oscillation angle, and sliding speed.
pV‑Value Emphasis
Introduces the critical pressure‑velocity limit that prevents thermal failure.
Environmental Factor Integration
Corrosion, temperature, and contamination built into the process.
Complete Documentation Output
Generates a traceable record of selection assumptions and checks.
The Most Common Selection Error in Spherical Plain Bearings
Choosing a steel‑on‑steel bearing for an application that will never be greased is a recipe for rapid failure. The overview emphasises that material selection cannot be an afterthought — it must be the first conscious decision, guided by the maintenance access and lubrication plan.
How the Selection Overview Integrates with SKF’s Digital Tools
SKF’s online spherical plain bearing selector follows the overview’s logic: input load, oscillation angle, and environment, and it automatically filters to the correct material and size. This digitalisation of the selection process turns the overview into an actionable engineering tool.