As the name suggests, a mixer is a machine that mixes two or more powdered materials. Its basic requirement and most important performance indicator is high uniformity. However, there is no standardized operating procedure for measuring uniformity and sampling the mixed materials. Today, we will explain the commonly used process and methods for measuring the uniformity of a mixer.

Firstly, the process of reducing heterogeneity by mixing the above two components in a dry state or in the presence of a small amount of liquid mixing force. The materials of two or more replicas of a group can be different, but they can also be the same material with different physical properties, such as different moisture content, particle diameter, color, and so on. Powder spraying pile is a complex stochastic process, and the evaluation and determination methods of uneven quality have always been a thorny problem for people. With the development of the times, the era of uniform mixing determined by the people's five senses is gone forever. Compared to science, powder is a quantitative analysis of mixtures used to determine certain forms of mixing. To achieve quantitative analysis, it is necessary to carry out processes such as sampling, testing, and statistical analysis (data processing) to obtain a single value representation of a homogeneous mixture.

Secondly, from the perspective of removing a small amount of material from the mixture of sampling, the so-called "sampling" refers to the observation of a small amount of material, also known as "point sampling", and the sampling location is called "sampling a point". In the same container, different sampling points are used to obtain the time "sample" of the composition level of the sample. That is to say, some sample points and sample sizes. Sample size: A representative sample should be as small as possible, given that the required amount of testing and sampling materials may be in the surrounding area. Excessive sample size not only wastes materials, but also negates quantitative analysis of accuracy. The number of samples (i.e. sample size) on the number: The more samples, the larger the sample size, the more reliable the results, quantitative analysis, and the smaller the sampling error. However, so far, there have been no confirmed research samples. According to the American Association for Science and Technology, among the 5 to 15 samples required for chemical proposals, some have pointed out that there should be at least 20 or even 50 samples. It is customary in China to take 5 to 10 samples. As for the sampling points for static sampling of materials, the sampling points should be uniformly located at all locations. If the mixed flow sampling of motion is not obtained from static analysis, the sampling results must be accurate. Therefore, when conditions permit (such as a determined mixing time), an export logistics mixer is a good example.

Thirdly, the chemical or physical methods of the tested sample will be determined, and the content of each part (especially the key component - tracer) will be determined. If the number of samples is 5, then the results will be: X1, X2 processor; X3; Built in X4 and X5. The nature, composition, purpose of mixing, and actual situation of the detection method are determined.

Fourthly, statistical analysis refers to the combination of the above test results, the statistical methods used, the calculation of a single value, and the evaluation of quality.

Uniformity is of utmost importance in the indicators of a mixer, and only a scientific measurement method can obtain scientifically rigorous and convincing results. The above measurement methods minimize errors to the greatest extent possible