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Isomalt, a sugar alcohol derived from sucrose, is commonly used in sugar-free products due to its low glycemic index and tooth-friendly properties. To ensure uniformity in product quality, the particle size of isomalt must be carefully controlled. Traditional sieving methods often face challenges such as clogging, low efficiency, and inconsistent classification. The five-layer tumbler vibrating sieve offers a promising solution by utilizing controlled vibration and tumbling motion to improve separation precision.

Working Principle of the Five-Layer Tumbler Vibrating Sieve

A tumbler vibrating sieve operates by simulating hand sieving with three-dimensional motion, providing gentle yet effective particle classification. The five-layer configuration consists of multiple mesh screens with decreasing pore sizes, allowing for the separation of isomalt into five distinct size fractions.

1、Multi-layer Screening – Enables precise classification into different particle sizes.
2、Low-frequency Vibration – Reduces damage to delicate particles.
3、Adjustable Inclination and Amplitude – Enhances screening efficiency based on material properties.
4、Anti-blocking Mechanisms – Prevents clogging for continuous operation.

Classification Efficiency and Influencing Factors

Several factors influence the classification effect of the five-layer tumbler vibrating sieve:

1、 Mesh Aperture Size and Layer Configuration

• The selection of mesh sizes determines the precision of classification.
• Proper layering optimizes separation efficiency.

2、Vibration Amplitude and Frequency

• Higher amplitude enhances the movement of larger particles.
• Optimal frequency settings improve fine particle separation.

3、Feed Rate and Material Load

• Excessive feed rates may reduce classification accuracy.
• A controlled, uniform feed ensures better performance.

4、Sieve Inclination Angle

• Adjusting the inclination angle influences the retention time of particles on each layer.
• A steeper angle can increase throughput but may reduce precision.

5、Screening Time

• Longer screening time enhances separation but may lower throughput efficiency.

Experimental Study and Results

A controlled experiment was conducted using isomalt granules of varying particle sizes. The sieve was tested under different operational parameters, and classification efficiency was evaluated based on particle distribution analysis.

Findings:

• The optimal vibration frequency was found to be 10–15 Hz for maximum separation efficiency.
• A feed rate of 5 kg/min ensured minimal clogging while maintaining high precision.
• Adjusting the sieve inclination to 5–10 degrees provided a balance between throughput and classification accuracy.
• Fine isomalt powder (<100 µm) exhibited higher classification efficiency at lower vibration amplitudes.