(6.) particle diameter d particle size of 50% d50 direction tangent of the line m standard deviation σ 68.3% of the data being within ±1 dispersion (σ) distance of the mean value is an important characteristic of the normal distribution curve. Fig. distribution graph Asymmetrical particle size distributions are common in pharmaceutical technological practice. In case of the classical is obtained as a function of the logarithm of particle size log-normal distribution (this is why it is advisable to use a sieve set of identical multiplying factors). By transforming it logarithmically, the originally asymmetrical distribution can be handled as symmetrical. Fig. and density function of log-normal distribution particle aggregate (7.) (8.) (9.) particle diameter d particle size of 50% d50 direction tangent of the line m standard deviation σ Fig. distribution graph The distribution function is applicable if the data indicate a linear GGSA (Gates-Gaudin-Schumann-Andrejev) correlation after a log-log transformation: (10.) of which: (11.) particle diameter d
(6.) d particle diameter d50 particle size of 50% m direction tangent of the line σ standard deviation 68.3% of the data being within ±1 dispersion (σ) distance of the mean value is an important characteristic of the normal distribution curve. Fig. distribution graph Asymmetrical particle size distributions are common in pharmaceutical technological practice. In case of log-normal distribution the classical is obtained as a function of the logarithm of particle size (this is why it is advisable to use a sieve set of identical multiplying factors). By transforming it logarithmically, the originally asymmetrical distribution can be handled as symmetrical. Fig. and density function of log-normal distribution particle aggregate (7.) (8.) (9.) d particle diameter d50 particle size of 50% m direction tangent of the line σ standard deviation Fig. distribution graph The GGSA (Gates-Gaudin-Schumann-Andrejev) distribution function is applicable if the data indicate a linear correlation after a log-log transformation: (10.) of which: (11.) d particle diameter