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Download Word document giving more information on CLASANAL, as a .ZIP file: 34 kb.  Click here. 

 

 

 

 

 

 

 

 

 

Download the forms as MS-Word file, in zipped form: 6 kb 

 

CLASANAL

Click here to download:

CLASANAL Literature (zip file) : 34 kb 

CLASANAL Data Entry Forms (zip file) : 6 kb

CLASANAL is a package to analyse the operation of any classifier.  The package can be used to analyse and optimise both dry and wet classifiers. 

The salient features of CLASANAL are: 

  • It estimates classifier performance parameters from a measurement of the particle size distributions of the streams around the classifier, i.e., feeds (can be more than one) and products (coarse and fine).
  • The errors in the "raw data" due to sampling and measurement are "corrected" to make them consistent and error-free.  This is a vital and unique feature of the package and unless this is done, the results will be meaningless.  
  • The following classifier performance parameters are predicted:
  1. The circulating load, CL
  2. The direct bypass fraction, which is not subject to any classification action, Rf.  
  3. The cut particle diameter of the classifier, d50
  4. The sharpness index of cut, SI. 
  5. The complete classifier efficiency curve, or the Tromp curve.
  • A plot of the experimental and calculated classifier efficiency curve.  
  • It is applicable for both one feed-two product (typically the case of fresh feed entering the grinding mill) and two feed-two product (typically the case of fresh feed entering the classifier) cases.

The package CLASANAL is thus useful to analyse the performance of any classifier for any set of operating conditions and thus achieve optimisation.  It is an especially useful tool to optimise closed-circuit grinding systems, turboseparators, cyclones, multiclones, ZUB-separators, O-sepa separators, vibratory screens, hydrocyclones, and a host of other classifiers.  The package is also extremely useful to designers of separators and closed-circuit grinding systems.

The package SIZEANAL is especially useful as a companion software to CLASANAL.  The size distributions predicted by SIZEANAL are useful as input data to CLASANAL.

 
DATA SHEET FOR CLASSIFIER ANALYSIS USING CLASANAL

Date : ___________ Ref. : ____________________________

Classifier Name : ___________ Is the classifier part of grinding circuit? Y / N

Material processed : __________ Test method : ___________________

Bulk specific gravity : __________ Particle specific gravity : __________

Classifier operating conditions (like rpm, air flow, power consumption etc.) :
______________________________________________________________________

Fines Product
                                                  Feed
If you know, the circulating load
C.L = 100 * (Coarse / Fines) =___________ %
Coarse return

Particle size distribution information about the streams around classifier
Fill up either Cumulative or Differential columns. If you give differential values, the first "particle size" 
should be the "top size" at which the % retained is zero.

Particle size, mm Cumulative % passing Differential % retained
Feed Coarse Fines Feed Coarse Fines

 

 

 

 

 

         
Blaine, m2/kg (if known)            

Sphericity     Min  (if known)      Max

           
Any other information :

 

Downloaded from : http://ptctech.tripod.com/clasanal.htm
Particle Technology Consultants, B-113/2, East of Kailash, New Delhi-110065, INDIA

If the classifier has two feed streams, use the form given below.

DATA SHEET FOR CLASSIFIER ANALYSIS USING CLASANAL

Date : ___________ Ref. : ____________________________

Classifier Name : ___________ Is the classifier part of grinding circuit? Y / N

Material processed : __________ Test method : ___________________

Bulk specific gravity : __________ Particle specific gravity : __________

Classifier operating conditions (like rpm, air flow, power consumption etc.) :

Fines Product
Mill Outlet
                                                    Fresh feed
If you know, the circulating load
C.L = 100 * (Coarse / Fines) =___________ %
Coarse return

Particle size distribution information about the streams around classifier
Fill up either Cumulative or Differential columns. If you give differential values, the first "particle size" 
should be the "top size" at which the % retained is zero.

Particle size, mm Cumulative % passing Differential % retained
Fresh Coarse Fines Mill o/l Feed Coarse Fines Mill o/l

 

 

 

 

 

             
Blaine, m2/kg (if known)                

Sphericity Min (if known) Max

               
Any other information :

 

Downloaded from : http://ptctech.tripod.com/clasanal.htm
Particle Technology Consultants, B-113/2, East of Kailash, New Delhi-110065, INDIA

Address :  Dr. K. Viswanathan, B-113/2 East of Kailash, New Delhi 110065, INDIAPh : 91 11 26830345, Mob: 9818803624.   
  Email:  ptcsoftware@softhome.net, ptcsoftware@rediffmail.com.