FL / ITC MULTIPLE CLASSIFY WHEEL CLASSIFIER OF MODIFIED STARCH Technology is one of the important basic technologies in the modern industry. In the modern industry, the raw materials that require a powder state have a small and uniform particle size and higher purity. Ultrafine raw materials have changed, making ordinary materials have a broader application range,
FL / ITC MULTIPLE CLASSIFY WHEEL CLASSIFIER OF MULTIPLE CLASSIFY WHEEL CLASSIFIER OF MULTIPLE CLASSIFY WHEEL Classifier of Modified Starch is suitable for combining materials such as synthetic resins, food, chemicals, etc. mechanical. The apparatus is different from the ordinary inner grinding machine, not only simply crushed such as impact force and cutting force, but also by many generated ultrasonic eddy currents and vibration thus produced high frequency pressure vibration to crush the material. Under certain conditions, the viscous material and the elastic material can also be pulverized. The pulverizer has little increase in the cyclic temperature during the pulverization process, so the thermal material can also be pulverized. The pulverizer has a reasonable structure, stable operation, low energy consumption, large crushing capacity, small size, no fault, easy to clean, and maintenance. Generally, the outer casing uses water cooling and its own air volume, conveying crushing material, improves the temperature, and reducing the thermal material. The wear of the blade is caused by a large amount of ultrasonic vortex generated by the back of the blade and the vibration of the high frequency pressure. Compact structure, no dust, no problem.
FL / ITC MULTIPLE CLASSIFY WHEEL CLASSIFIER OF MODIFIED STARCH What Features? Xiaobian is to analyze the features it has. 1. This micro-jet classifier is mainly designed for research and development departments of colleges and research institutes and businesses; 2. It is very small and convenient to move, and it is not very spacious in the crushing space. It is very convenient to use this classifier; Of course, it is necessary to be determined according to the actual situation. 3. The sample loss in the classifier is very small, and it is very suitable for small amounts of valuable samples.
