Abrasive Blasting, Shot Peening & Surface Prep worked example
Blast Media Consumption at 90% media reclaim and transfer efficiency: a worked example
This scenario runs the blast media consumption calculation on the strong side: 90% media reclaim and transfer efficiency, with every other input held at its documented default. you need enough blast media on the floor for a coating removal, mill scale, or profile job without overbuying pallets of abrasive
The inputs for this scenario
- Total surface area to blast: 2,500 sq ft (unchanged)
- Abrasive consumed per square foot: 0.35 lb / sq ft (unchanged)
- Media reclaim/transfer efficiency: 90 % (raised for this scenario; the documented default is 78)
Working through the calculation
- Applying the documented formula (Theoretical abrasive = blast area × media use rate) to the inputs above produces each figure below.
- At this operating point the engine returns 972 lb abrasive for abrasive required, the number this scenario is built around.
- At this operating point the engine returns 875 lb abrasive for theoretical media.
- At this operating point the engine returns 97.22 lb abrasive for reclaim/transfer allowance.
- At this operating point the engine returns 90 % for reclaim/transfer efficiency.
How this compares with the baseline
- Against the tool's baseline example, where media reclaim and transfer efficiency sits at 78% and the headline result is 1,122 lb abrasive, this scenario comes in 13.33% below the baseline at 972 lb abrasive.
- Use it when ordering abrasive for a job or building a per-square-foot media line into a blasting quote. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.
Results at a glance
- Abrasive required: 972 lb abrasive (headline result)
- Theoretical media: 875 lb abrasive
- Reclaim/transfer allowance: 97.22 lb abrasive
- Reclaim/transfer efficiency: 90 %
Run it with your numbers
- Every input above is editable in the live Blast Media Consumption calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.