BeVision W1

Dynamic Imaging Particle Size and Particle Shape Analyzer

BeVision W1 is a high-resolution dynamic image particle size and shape analyzer. Based on sheath flow theory, BeVision W1 particle size distribution analyser can capture each particle and deliver accurate image data. BeVision W1 is the best solution for scientific research and quality control.

Measurement: Particle shape, particle size
Particle size range: 4 to 400µm
Dispersion type: Wet
Technology: Automated Imaging

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Overview

Features
Technology
Specification

Features and Benefits

•Analysis parameters:
Particle size distribution, D100, content for a specific interval, aspect ratio, circularity and radius-thickness ratio.

•Sheath flow theory:
Ensures each individual particle passes through the focal plane of the cell sequentially, eliminates particle overlapping and defocus issues.

•Optimized software:
Identify 10,000 particles per minute. Automatic recognition of agglomerated powder further improves accuracy.

Automated Imaging

Specification

BeVision W1
Size Range	4-400 µm
Repeatability error	≤1% (CRM D50)
Accuracy error	≤1% (CRM D50)
Magnifying times	150-1000 times
Voltage	AC 220V 、50/60Hz
Volume、weight	610x300x450mm、22KG
Imported high speed CCD	120 frm/s
Special technologies	Sheath flow technology;Multithreading and edge recognition technology
Particle recognition speed	≥10000 particles /min
Analytical items	(1) particle size distribution; typical data;maximum particle size;specific interval content;the particle size content more than or less than certain particle size. (2) particle shape: aspect ratio and aspect ratio distribution; circularity and circularity distribution; particle image. (3) particle count:To measure the number of particles in a certain volume of liquid.
Export items	including the original parameter (including the sample information, testing information,etc), analytical data (including the particle size distribution, aspect ratio, circularity and typical data,etc.), distribution graph ( interval distribution histogram and cumulative distribution curve,etc.)