The practical value of unconstrained free fitting technology for Winner particles

Laser particle size analyzers analyze the particle size distribution by measuring the diffraction (scattering spectrum) of particle groups. Therefore, the inversion of the scattering spectrum is of great significance. It directly affects the output results.

The usual inversion method is to first assume that the particles obey a certain distribution function, so the analysis results are limited by this prerequisite and must also obey this function. If the particle population itself does not obey this distribution, the test results will be distorted.

Unconstrained fitting is a special inversion algorithm that does not require any functional restrictions, so the analysis results completely rely on the distribution of the scattering spectrum. Maximize fitting accuracy. Ensure that the calculated results are true and reliable.

Jinan Winner Particle Company's product Winner2000 desktop laser particle size analyzer is the first model to put this technology into practical use and achieve success: (In addition, there is also a model that uses "free mode" but it is only used as a supplementary method and is not practical. value. It discovered the over-grinding phenomenon in the cement test, and found the particle size distribution of the mixture of two different grinding methods in the stone grinding sample test. It can be said that unconstrained fitting is of particularly important significance for research work. .

How to judge whether an instrument is an unconstrained fitting algorithm?

There is a simple method: first use a standard sample to test in the instrument, and then add another standard sample drop by drop to the previous sample. As the amount added increases, the other peak value also increases.

Note that there should be a significant difference in the median diameter of the two samples.

If the above effect is observed, it is an unconstrained fitting inversion algorithm. If the measured particle size distribution curve is as shown in the figure, no matter how the sample is added, the particle size distribution is a unimodal distribution, then this instrument can be considered to be using ordinary inversion software.

Conclusion: Unconstrained fitting inversion technology has the ability to automatically resolve multimodal particle groups and is a good assistant for particle analysis. Ordinary inversion software is only suitable for testing single component samples. Only unconstrained fitting software is suitable for the analysis of samples with multimodal distributions. Only by learning to distinguish whether there is an unconstrained fitting software can you prevent being deceived and ensure the stability of the laser particle size analyzer test.