Products & Services

Products & Services

Classifier

SATAKE i  Classifier

High-precision wet classifier equipped with our newly developed rotor

High-precision wet classifier capable of precision classification according to customer requirements

SATAKE  i Classifier

SATAKE i  Classifier is equipped with a classifying rotor which rotates at high speed.
The classifying rotor has a classification blade to stabilize the centrifugal field.

SATAKE  i Classifier

Flow path

When raw slurry is pumped into the classifier, some fluid passes between the blades of the rotor and goes inside the rotor.
Fine slurry passes through the hollow shaft and is discharged outside the machine.
Meanwhile, coarse slurry is discharged from the classifying rotor by centrifugal force and re-supplied as raw slurry.

Classifying rotor

i  Classifier's classifying rotor is designed with an optimal shape based on many classification tests and CFD flow analysis optimization so that the classification particle diameter is constant in the classification chamber. We succeeded in straightening the flow inside the classification chamber and the rotor, dramatically improving classification accuracy.

Principle of classification

Principle of classification

The particles at the outer end of the rotor are acted upon by the centrifugal force generated by the rotational motion of the fluid and the drag (buoyancy) caused by the radial movement of the particles.
There is a particle size "= classification particle diameter" where these external forces are exactly balanced.
Particles larger than the classification particle diameter (coarse particles) receive a large centrifugal force and cannot enter the rotor because they move outward. Particles smaller than the classification particle diameter (fine particles) can enter the rotor by riding on the liquid flow, and only these fine particles are recovered outside the machine as slurry.

Throughput

Throughput

The graph shows the throughput of the machine.

(Material: metal, SiO2, PMMA)
The throughput varies depending on the raw material and the desired classification size.
How to read the graph
(Example) When the 50% separation diameter is 2 (μm)

The slurry processing speed is:
  PMMA particles: 1.2 (L/hr)
  SiO2 particles: 8 (L/hr)
  Metal particles: 50 (L/hr)
When water is used as a dispersion medium

Please contact us about the throughput for raw materials other than the above.

■SATAKE i  Classifier Machine Specifications
Item Specifications
Product name SATAKE i  Classifier
Main unit dimensions 600×900×1600 mm
Weight Approx. 200 kg
Rotational speed 2000–7000 min-1
Peripheral speed 10–30 m/s
Throughput 20 L/hr (maximum)
Classification chamber capacity 0.4 L
Wetted part material Rotor SUS304,316L/zirconia (planned)
Vessel SUS304,316L/zirconia (planned)
O-ring FFKM
Others SUS304,316L
Shaft seal part Double mechanical seal
Seal liquid Water/organic solvent
■SATAKE i  Classifier Utility Specifications
Item Specifications
Power supply AC 200V, 3-phase, 50/60Hz
Power 2200 W (main unit only)
Compressed air or nitrogen 0.8 MPa (for sealing liquid pressurization)
Cooling water 0.1–0.2 MPa 2–3 L/min

We are continually developing our products to improve classification and performance.
We will notify you when there are specification changes, etc.

Classification process example

①Silica fine particles (ρ: 2200 kg/m3) - Fine particle and coarse particle remove process using aqueous dispersion

Classification process example

[Aims]
1.5 μm or less removal and
4.5 μm or more removal

(1) Silica fine particles (density: 2200 kg/m3) - Aqueous dispersion Fine particle remove process

Fine particles adhering to the surface of the raw material are completely removed by the fine particle remove process.

Classification process example

(2) Silica fine particles (density: 2200 kg/m3) - Aqueous dispersion Coarse particle remove process

The coarse particle remove process after the fine particle remove process gives particles with high monodispersity.

Classification process example

Classification process example

Silica fine particles (ρ: 2200 kg/m3) - Aqueous dispersion Particle size distribution

② Acrylic fine particles (1200 kg/m3) - Aqueous dispersion Coarse particle remove process

The particle size distribution can be freely controlled by the rotor peripheral speed.

Classification process example

③ Barium titanate (6000 kg/m3) - Aqueous dispersion Coarse particle remove process

The coarse particle cut removes the coarse particles and the distribution has a mode diameter of about 0.6 μm.

Classification process example