How do you calculate UV cure validation sample size?

Multiply production volume by the sampling rate per thousand and divide by 1,000 to get raw samples, then divide by inspection efficiency to cover misses. With 2,400 parts, 5 per thousand, and 90% efficiency, raw samples are 12 and the recommended pull is 14.

What is a good sampling rate for UV cure inspection?

Common practice is 3 to 10 samples per thousand depending on process maturity and defect history. The example uses 5 per thousand, a reasonable mid-range rate for a stable line with periodic cure verification.

Why divide by inspection efficiency?

No inspection catches every defect. Dividing the raw sample count by efficiency (90% here) inflates the pull so that even with imperfect detection you still effectively cover the intended number of parts — 12 raw becomes 14 pulled.

How does production volume change my sample size?

Sample size scales linearly with volume at a fixed rate. Double the shift volume to 4,800 parts and the raw samples double to 24, with the recommended pull rising proportionally after the efficiency adjustment.

Is this the same as an AQL sampling plan?

No. This sizes a pull from a flat per-thousand rate, which is simple and auditable for routine cure verification. AQL plans like ANSI/ASQ Z1.4 set sample size and accept/reject numbers from lot size and a quality limit — use those when a contract specifies AQL.

Should the sample pull be rounded up?

Yes. Always round up to whole parts so you never under-sample. The 14-sample result already reflects rounding the efficiency-adjusted figure up to a usable integer pull.

UV Curing calculator

UV Cure Validation Sample Size Calculator

UV cure validation sample size tells you how many cured parts to pull and inspect each validation run so your quality data is statistically meaningful without over-sampling. UV curing lines — coatings, adhesives, inks, and potting — need enough samples to catch under-cure and over-cure drift caused by lamp aging, conveyor speed, or web distance changes. Quality engineers on UV lines use this to set a defensible sampling plan that survives a customer audit. Pulling too few risks missing a cure failure; pulling too many burns destructive-test parts and labor.

What this calculator does

Size a UV cure validation pull (samples per shift / lot) from production volume, sampling rate, and an inspection efficiency factor.
Use it during PPAP, IQ/OQ/PQ, or routine production-validation planning to pick a defensible sample size for cure verification.
It converts your production volume and target sampling rate into a raw sample count, then inflates it by inspection efficiency to give the number of parts to actually pull.

Formula used

Raw samples = production volume × sampling rate ÷ 1,000
Recommended sample pull = raw samples ÷ inspection efficiency

Inputs explained

Production volume per shift: Good cured parts produced per shift on the line being validated.
Sampling rate: Per-1,000 sampling: 5 = 0.5%, 10 = 1%, 20 = 2%; tighter for new SKUs and PPAP.
Inspection efficiency: % of pulled samples that yield a usable test result; 85-95% is typical.

How to use the result

Use it when writing or revising a UV cure validation plan, or when production volume per shift changes enough to shift your sample target.
It sizes the pull from a flat per-thousand rate, not from a confidence/AQL table — for contractual AQL sampling, validate against an ANSI/ASQ Z1.4 plan.

Common questions

How do you calculate UV cure validation sample size? Multiply production volume by the sampling rate per thousand and divide by 1,000 to get raw samples, then divide by inspection efficiency to cover misses. With 2,400 parts, 5 per thousand, and 90% efficiency, raw samples are 12 and the recommended pull is 14.
What is a good sampling rate for UV cure inspection? Common practice is 3 to 10 samples per thousand depending on process maturity and defect history. The example uses 5 per thousand, a reasonable mid-range rate for a stable line with periodic cure verification.
Why divide by inspection efficiency? No inspection catches every defect. Dividing the raw sample count by efficiency (90% here) inflates the pull so that even with imperfect detection you still effectively cover the intended number of parts — 12 raw becomes 14 pulled.
How does production volume change my sample size? Sample size scales linearly with volume at a fixed rate. Double the shift volume to 4,800 parts and the raw samples double to 24, with the recommended pull rising proportionally after the efficiency adjustment.
Is this the same as an AQL sampling plan? No. This sizes a pull from a flat per-thousand rate, which is simple and auditable for routine cure verification. AQL plans like ANSI/ASQ Z1.4 set sample size and accept/reject numbers from lot size and a quality limit — use those when a contract specifies AQL.

Last reviewed 2026-05-12.