When sourcing or selling polished metal components on Alibaba.com, understanding surface roughness specifications is essential for effective B2B communication. The Ra value (Roughness Average) is the industry-standard metric for quantifying surface texture, representing the arithmetic mean of surface profile deviations from the mean line.
For context, here's how different Ra values correspond to common surface finishes in metal manufacturing:
Surface Roughness Ra Values and Corresponding Finish Types
| Ra Value (μm) | Finish Type | Typical Applications | Relative Cost |
|---|---|---|---|
| 12.5 - 6.3 | Rough Machined | Structural components, non-visible parts | Low |
| 3.2 - 1.6 | Fine Machined | General manufacturing, functional surfaces | Low-Medium |
| 0.8 - 0.4 | Polished | Decorative trim, visible components | Medium |
| 0.2 - 0.1 | High Polished | Premium consumer products, automotive trim | Medium-High |
| < 0.1 | Mirror Polished | Luxury goods, optical components, medical devices | High |
| 0.025 - 0.05 | Premium Mirror | High-end jewelry, precision instruments | Very High |
The distinction between 'polished' and 'mirror polished' is critical for B2B transactions. A standard polished finish (Ra 0.8-0.4 μm) may appear smooth to the touch but won't produce the characteristic mirror-like reflection. True mirror polish (Ra < 0.1 μm) requires significantly more processing time, specialized equipment, and skilled labor—factors that directly impact pricing and lead times when you sell on Alibaba.com.
Ra is the most commonly used parameter for surface roughness measurement. It provides a single numerical value that represents the average height deviation of the surface profile, making it ideal for quality control specifications in B2B contracts [1].
For Southeast Asian exporters targeting global markets through Alibaba.com, specifying the correct Ra value in product listings helps filter serious buyers from casual inquiries. International buyers from North America, Europe, and Australia frequently include Ra specifications in their RFQs (Request for Quotation), particularly for applications in automotive, aerospace, medical devices, and consumer electronics.

