Metal Recycling, Scrap Processing & Salvage worked example
Melt Loss Estimate at 99% target melt loss rate: a worked example
This scenario runs the melt loss estimate calculation on the strong side: 99% target melt loss rate, with every other input held at its documented default. Use it when melt loss estimate in metal recycling, scrap processing and salvage needs a clean rate and gap-to-target you can put on a tier board.
The inputs for this scenario
- Metal lost in melt (count): 8 count (unchanged)
- Total charge into the furnace: 250 count (unchanged)
- Target melt loss rate: 99 % (raised for this scenario; the documented default is 95)
Working through the calculation
- Applying the documented formula (Melt loss estimate rate = melt loss estimate count ÷ total melt loss estimate population × 100) to the inputs above produces each figure below.
- At this operating point the engine returns 3.2 % for melt loss estimate rate, the number this scenario is built around.
- At this operating point the engine returns 95.8 points for melt loss estimate gap to target.
- At this operating point the engine returns 8 count for melt loss estimate count.
- At this operating point the engine returns 250 count for total melt loss estimate population.
How this compares with the baseline
- Against the tool's baseline example, where target melt loss rate sits at 95% and the headline result is 3.2 %, this scenario lands almost exactly on the baseline at 3.2 %.
- Use it to grade a heat, compare furnace or fluxing practices, or set the recovery yield you quote when buying scrap to remelt. 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
- Melt loss estimate rate: 3.2 % (headline result)
- Melt loss estimate gap to target: 95.8 points
- Melt loss estimate count: 8 count
- Total melt loss estimate population: 250 count
Run it with your numbers
- Every input above is editable in the live Melt Loss Estimate calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.