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Mixing uniformity is an important indicator for evaluating the performance of a double cone mixer
The double cone mixer is widely used in various fields of national economy and people's livelihood. Due to the requirements of various working conditions, its variety is huge. China's double cone mixer manufacturing industry is very large, and there are thousands of double cone mixer manufacturers all over the country. At present, China has become one of the countries with large output and market demand for global double cone mixers.
Powder mixing is a complex random process, and the evaluation and measurement methods of mixing quality have always been a thorny problem. With the development of the times, the days of judging the uniformity of the distribution based on the sense of the five senses have passed. The scientific and quantitative form of the determination of mixing uniformity is the quantitative analysis of powder mixing. To do quantitative analysis, there must be several processes of sampling, detection, and statistical analysis (data processing) to obtain a single magnitude to express the uniformity of the mixture.
During the material mixing process, there are many factors that affect the material processing effect. The first is the selection of equipment products, followed by the mixed processing method. In addition, during the mixing of different types of materials, some also need to complete physical chemistry during mixing. The reaction, therefore the contact area of ​​the material is also very important, which has a great influence on the processing of the material.
Mixing uniformity is an important indicator for evaluating the performance of a double cone mixer:
First, the meaning of powder mixing Powder mixing is a process in which two or more components are mixed in a dry state or in the presence of a small amount of liquid, and the heterogeneity is continuously reduced. The two or more components may be different substances, or may be the same substance and have different physical properties: different water content, different particle diameters, different colors, and the like.
2. Sampling A small amount of material is taken from a position in the mixture, called “samplingâ€. This small amount of material is called “observation sample†or “point sampleâ€, and the sampling position is called “sampling pointâ€.
In the same container, at the same time level, samples taken at different sampling points constitute a "sample" at this time level. The number of point samples is the size of the sample.
Regarding the size of the sample: the smaller the sample, the better, as long as the amount required for the test is satisfied and the material around the sample point may be representative. The sample is too large, not only wasted material, but also detrimental to the correctness of the quantitative analysis.
3. The test will take samples and determine the content of each component (especially the key component - tracer) by chemical or physical means:
IV. Statistical Analysis The above test results were calculated by statistical methods to obtain a single value to evaluate the mixing quality of the mixture, which is called statistical analysis.