Sieve Analysis

Digitalize and Automate Determination of Grain Size Distribution Workflows

Sieve analysis or a gradation test is an important method for assessing the particle size distribution of granular material. Particle size influences material properties like flow and conveying behavior (for bulk materials), reactivity, abrasiveness, solubility, extraction and reaction behavior, taste, compressibility, and many more. Particle size determination is therefore essential for a wide range of industries, such as food, construction, plastics, cosmetics, and pharmaceuticals, to optimize process engineering and to ensure the quality and safety of final products.

To measure particle size distribution, different methods and procedures can be applied, depending on the sample material, expected particle sizes, and the scope of the examination. These include direct image analysis, either static (SIA) or dynamic (DIA), static light scattering (SLS), also called laser diffraction (LD), dynamic light scattering (DLS), and sieve analysis. Sieve analysis is the traditional and most used method to measure particle size distribution.

Why sieve weighing is important

The advantages of sieve analysis include it is easy to use, requires minimal investment costs, offers accurate and reproducible results in a comparatively short time, and has the ability to separate particle size fractions. The sieve analysis procedure by differential sieve weighing is a tedious and error-prone process. Using an accurate balance with convenient features and digital data management can quickly pay off.

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Frequently Asked Questions

What is the recommended sample size to be used for sieve analysis?

In sieve analysis experiments, there is often a tendency to use samples that are too large, as it is assumed that this will make the test results more accurate. However, this compromises the accuracy of the result, as each individual particle does not have the opportunity to present itself on the surface of the test sieve. Generally, a 25–100 g sample is recommended. A procedure exists to help establish the appropriate sample size, using a sample splitter to reduce the sample to different weights (25 g, 50 g, 100 g, 200 g), and testing samples in the various weight ranges. If the test with a 50 g sample shows approximately the same percentage passing the fine sieve as a 25 g sample, whereas a 100 g sample shows a much lower percentage passing, this would indicate that the 50 g sample is the appropriate sample size.

What is the difference between sieve diameters in ASTM standards vs. ISO/BS standards?

In the ASTM standards, sieve diameters are measured in inches, while millimeters are used in the ISO/BS standards. There is a slight difference between 8 inches and 200 mm or 12 inches and 300 mm diameter. In reality, 8 inches equals 203 mm and 12 inches equals 305 mm. Therefore, test sieves with a diameter of 8 inches and 200 mm cannot be nested, nor can test sieves with a diameter of 12 inches and 300 mm.

What are the differences between mesh numbers and wire spacing in ASTM standards vs. ISO/BS standards?

Mesh number represents the number of wires per inch (25.4 mm). Woven wire sieves are sold either by mesh number or by the wire spacing. The ASTM American standards use mesh numbers, whereas ISO/BS International and British standards tend to use wire spacing.

How does air humidity in the lab affect sieve analysis?

Very dry conditions can cause fine powders to adhere both to the sieve components and to each other with strong electrostatic charges. Ideally the relative humidity (% RH) should be between 45% and 60%. 

What are the advantages of sieve analysis over alternative techniques, like image analysis methods?

The advantages of sieve analysis include low investment costs, easy handling, precise and reproducible results in a relatively short time and the ability to separate the particle size fractions. Therefore, this method is commonly used instead of methods using laser light or image processing.

What are the limitations of sieve analysis?

One limitation is the number of size fractions obtainable, which limits the resolution. A standard sieve stack consists of a maximum of 8 sieves which means that the particle size distribution is based on just 8 data points. Further limitations are that this technique only works with dry particles, the minimum limit of measurement is 50 µm, and the method can be rather time-consuming.

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