Abrasive Blasting, Shot Peening & Surface Prep worked example
Blast Cabinet Load Capacity at 99% cabinet uptime: a worked example
Push cabinet uptime up to 99% and the picture changes. This example computes every intermediate figure at that operating point. a production lead needs to know how many parts a blast cabinet can finish in a shift
The inputs for this scenario
- Parts per cabinet load: 18 parts / load (unchanged)
- Cabinet loads per shift: 22 loads (unchanged)
- Cabinet uptime: 99 % (raised for this scenario; the documented default is 88)
- First-pass acceptance: 96 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross cabinet capacity = parts per load × cabinet loads per shift) to the inputs above produces each figure below.
- At this operating point the engine returns 376 parts for accepted cabinet output, the number this scenario is built around.
- At this operating point the engine returns 396 parts for gross cabinet capacity.
- At this operating point the engine returns 3.96 parts for uptime loss.
- At this operating point the engine returns 15.68 parts for rejected/reblast parts.
How this compares with the baseline
- Against the tool's baseline example, where cabinet uptime sits at 88% and the headline result is 335 parts, this scenario comes in 12.5% above the baseline at 376 parts.
- It multiplies parts per load by loads per shift for gross capacity, then derates by cabinet uptime and first-pass acceptance to give accepted output. The value of this scenario is the size of the gap it exposes: that gap, priced out over a year, is the budget you can justify spending to close it.
Results at a glance
- Accepted cabinet output: 376 parts (headline result)
- Gross cabinet capacity: 396 parts
- Uptime loss: 3.96 parts
- Rejected/reblast parts: 15.68 parts
Run it with your numbers
- Every input above is editable in the live Blast Cabinet Load Capacity calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.