I'd suggest that the surest method to answering your question would be to review QC studies that have been published in your target journal(s), and adapt the justifications used in those works to your own.
How many expert judges are required for any type of task depends on: (a) degree of judge heterogeneity in agreement (greater heterogeneity implies a need for more judges); (b) type of judgments being made (high stakes judgments requires more judges than low-stakes judgments); and (c) desired precision of any collective decision (higher precision requires more judges), to name a few of the more obvious considerations.
Expert sample is based on the Non-probability selection. Therefore, accepted sample size concept is not appropriate for this case. Since, there is no generalization issue here.
"Roscoe (1975) proposes the following rules of thumb for determining sample size:
1. Sample sizes larger than 30 and less than 500 are appropriate for most research.
2. Where samples are to be broken into sub-samples;(male/females, juniors/seniors, etc.), a minimum sample size of 30 for each category is necessary.
3. In multivariate research (including multiple regression analyses),the sample size should be several times (preferably 10 times or more) as large as the number of variables in the study.
4. For simple experimental research with tight experimental controls (matched pairs, etc.), successful research is possible with samples as small as 10 to 20 in size."
Reference
Sekaran, U., 2003. Research methods for business: A skill building approach. John Wiley & Sons.