Overloading sieves can cause errors in the determination of particle distribution.

Overloading sieves can cause errors in the determination of particle distribution.

• A. True
• B. False
• C. Not specified
• D. Sometimes

Answer: (A)

The accuracy of sieve analysis depends on the material moving freely through the entire stack so that each size range can separate properly. When you overload the sieves, a large amount of material forms a dense layer on top that restricts movement, leading to bridging, compaction, and reduced agitation effectiveness. This prevents smaller particles from cascading through the openings as they should and can cause larger particles to sit on top longer or fines to clog the screens. The result is a biased, non-representative distribution because the sieves aren’t able to separate the material as designed. In practice, you split the material or sieve in batches to maintain proper flow and representative results. Therefore, overloading sieves can indeed cause errors in determining particle distribution.

The accuracy of sieve analysis depends on the material moving freely through the entire stack so that each size range can separate properly. When you overload the sieves, a large amount of material forms a dense layer on top that restricts movement, leading to bridging, compaction, and reduced agitation effectiveness. This prevents smaller particles from cascading through the openings as they should and can cause larger particles to sit on top longer or fines to clog the screens. The result is a biased, non-representative distribution because the sieves aren’t able to separate the material as designed. In practice, you split the material or sieve in batches to maintain proper flow and representative results. Therefore, overloading sieves can indeed cause errors in determining particle distribution.