Advantages of unconstrained free fitting

In testing, we make decisions based on the particle size distribution data curves provided by the models in the equipment.

When selecting a model, in addition to normal distribution and R-R distribution, Winner also offers a free distribution. This is Winner's exclusive unconstrained free fitting distribution.

This is confirmed by particle size distribution curves of two samples: natural soil and two different particle sizes emery.

The first is normal distribution, which presents a distribution result of nested normal models.

The second is R-R distribution, which presents a distribution result of nested R-R models.

The last is the unpredictable free mimicry distribution. The unique particle size distribution pattern is accurately presented. The soil sample exhibits a true bimodal distribution, consistent with the sample's actual distribution.

Normal distribution and R-R distribution are suitable for use in specific scenarios. In testing, if the sample distribution is not fully understood, the preset model will force a single-peak result, obscuring key information and affecting decision-making. Unconstrained free fitting technology of Winner presents the true state of the particles, ensuring accurate decision-making and avoiding errors and misjudgments during the R&D process.

The video is as follows：