Mass Finishing, Deburring & Polishing worked example

Media-To-Part Ratio with number of parts in the load of 250 units: a worked example

What does the result look like when number of parts in the load reaches 250 units? The full calculation is worked below with real intermediate numbers. Use it when media-to-part ratio in mass finishing, deburring and polishing needs a few factors combined into one defensible number for mass finishing, deburring and polishing.

The inputs for this scenario

  • Number of parts in the load: 250 units (raised for this scenario; the documented default is 100)
  • Media volume per part: 4 units (unchanged)
  • Bulk-density / volume conversion factor: 0.01 x (unchanged)
  • Process aggressiveness multiplier: 1 x (unchanged)

Working through the calculation

  • Applying the documented formula (Media-To-Part Ratio = first factor × second factor × conversion factor × process multiplier) to the inputs above produces each figure below.
  • At this operating point the engine returns 5 units for result, the number this scenario is built around.
  • At this operating point the engine returns 5 value for base product.
  • At this operating point the engine returns 1 x for multiplier.
  • At this operating point the engine returns 1,000 value for factor a x b.

How this compares with the baseline

  • Against the tool's baseline example, where number of parts in the load sits at 100 units and the headline result is 2 units, this scenario comes in 150% above the baseline at 5 units.
  • A figure at this level is achievable when number of parts in the load is genuinely sustained, not just peaked for a shift. It assumes uniform media size and part geometry; nested or magnetic parts, or media that breaks down mid-cycle, will shift the effective ratio.

Results at a glance

  • Result: 5 units (headline result)
  • Base product: 5 value
  • Multiplier: 1 x
  • Factor A x B: 1,000 value

Run it with your numbers

  • Every input above is editable in the live Media-To-Part Ratio calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.