CemPro Analytics Ltd

 

 

  On -line analysers    

Advances technology have made on-line analysis  an accepted industry practice in order to meet the ever increasing demands to maintain the high integrity of the finished product and have trouble free operation of the plant . On-line analysis (also referred to as “on-stream”, ”in-line”, “in- stream”, “at line” ) is an increasingly important alternative to traditional laboratory automation techniques. The advantage of this method is that the analyzers are placed directly on the material stream, thereby offering the fastest possible response to variations in product quality. Errors due to sampling and sample handling are eliminated or significantly reduced compared to conventional techniques.

Various technologies are employed for this purpose such as PGNAA (Prompt Gamma Neutron Activation Analysis), EDXRF (Energy Dispersive X-ray fluorescence), LIPS (Laser Induced Plasma) . Normally the entire material passes through the analyzer. Sampling systems and elaborate sample preparation schemes are also employed for many X-ray based analyzers. However it should also be noted at this stage that the on-line analyzers are not replacements for laboratory analyzers. Instead they are complementary, and render better control of the process.


 

On-line analyzers are employed for various applications like blending control for stock pile preparation, blending control for product mixes, sorting raw materials, quality control etc. On-line analyzers along with powerful software packages has become an important laboratory tool for maintaining product quality. Thus on-line analysis serves as the  first step towards process optimisation.

CemPro Analytics  offers on-line analyzers for bulk processing industries such as mining and mineral processing, cement and  coal based on EDXRF technology.
 

Why on-line analysis ?

  • Provides more information about the process

  • Adds to  the  knowledge base of the process

  • Information about the dynamics of the process

  • Enables better control of the process