Sell Gravimetric Batch Blender

详情

�� High Dosing PrecisionGravimetric Blenders Series
****-Online material blending solution***-

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Aiming at the requirements of online and offline automatic blending, we develop batch type and continuous type metering blending devices in standardmodel

andspecial application model to meetdifferent demands of customers, and our products are suitable for online and offline metering blendingandautomatic

mixing ofmaterials at different states such as particle, powder and liquid.

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WBB Series-Batch Gravimetric Blender

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Application Field: plastic films/ cables/ pipes/ production of raw materials/plasticsmodificationandother industries such asChemicals.

Scope of Application: be suitable to be used in plastic industry production process inwhichmany granularcomponents need meteringaccording to different ratios and precise mixing.

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System function features:

1. The standard model machine can realize online automatic blending up to 8 components, which reduces human error and labour cost;

2. The blender is directly installed on the feed opening of an extruder, and material directly enter into the extruder, so that the demixingphenomenon of materials after being mixed in the secondary conveying process is avoided;

3.By the anti-interference filtering algorithm, the blender can still achieve a high metering precision even it is installed on the equipment withhigh mechanical vibration amplitude and frequency;

4. It still can be used in places where the electrostatic adhesion of materials is quite strong;

5. Self-adapting proportioning control: automatically correct the material charging error and the precision error is less than 0.1%;

6. Underlying hardware and software control, with more reliable operation.

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System Principle:
Based on the weighing metering principle,the charging quantity of materials iscontrolled by the setted proportioning of each component, the proportioningprecisionof all components is controlled and detected by the program, and the material-charging precision is guaranteed by the self-adapting algorithm.

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Standard optional models and related parameters:

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Note: the practical output is relevant with the precision setting and the number of components.