How would you set and calibrate this particle size distribution data? flow:3450 t/h

José Figueroa
José Figueroa Altair Community Member
edited November 2021 in Community Q&A

Here my solution. There exist a 3450 t/h of iron oxide ore flow.

 

SIMULATION:

- To reduce time simulation I have eliminate the small particles

- And Its total percentage representation was equally distributed between the medium and big particles

 

CALIBRATION:

- I don't have the conditions of the real experiment

- So, I have decided to simulate 500 kg of oxide as my sample using small, medium and big particles

 

Whether you have experience or you have an idea, I will really appreciate your point of view about how to deal ehit this data.

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Best Answer

  • Stephen Cole
    Stephen Cole
    Altair Employee
    edited November 2021 Answer ✓

    Hi José,

     

    The best way to represent it is to consider the material as a Bulk Material, ideally you would have information on the bulk properties like the Bulk Density and Angle of Repose.  Particle shape and shape distribution would also be good to see in order to create a representative material shape.

     

    With just the size distribution it's best to run an estimate of how many particles are in the simulation and remove some of the fines if this is going to create unrealistic run times (as you say).  Typically you would then calibrate the bulk density to ensure this doesn't influence the density and then the angle of repose.

     

    If it's Iron Ore flow on the transfer chute (or similar) the Bulk Density is important as the volume of material can influence the behaviour.

     

    One option if you don't have the experimental/material data is to review the literature and make some estimates on these values (low and high values) and then run more than one case to look at best and worst case scenarios.


    Regards

    Stephen

     

     

Answers

  • Stephen Cole
    Stephen Cole
    Altair Employee
    edited November 2021 Answer ✓

    Hi José,

     

    The best way to represent it is to consider the material as a Bulk Material, ideally you would have information on the bulk properties like the Bulk Density and Angle of Repose.  Particle shape and shape distribution would also be good to see in order to create a representative material shape.

     

    With just the size distribution it's best to run an estimate of how many particles are in the simulation and remove some of the fines if this is going to create unrealistic run times (as you say).  Typically you would then calibrate the bulk density to ensure this doesn't influence the density and then the angle of repose.

     

    If it's Iron Ore flow on the transfer chute (or similar) the Bulk Density is important as the volume of material can influence the behaviour.

     

    One option if you don't have the experimental/material data is to review the literature and make some estimates on these values (low and high values) and then run more than one case to look at best and worst case scenarios.


    Regards

    Stephen

     

     

  • José Figueroa
    José Figueroa Altair Community Member
    edited November 2021

    Hi José,

     

    The best way to represent it is to consider the material as a Bulk Material, ideally you would have information on the bulk properties like the Bulk Density and Angle of Repose.  Particle shape and shape distribution would also be good to see in order to create a representative material shape.

     

    With just the size distribution it's best to run an estimate of how many particles are in the simulation and remove some of the fines if this is going to create unrealistic run times (as you say).  Typically you would then calibrate the bulk density to ensure this doesn't influence the density and then the angle of repose.

     

    If it's Iron Ore flow on the transfer chute (or similar) the Bulk Density is important as the volume of material can influence the behaviour.

     

    One option if you don't have the experimental/material data is to review the literature and make some estimates on these values (low and high values) and then run more than one case to look at best and worst case scenarios.


    Regards

    Stephen

     

     

    Thanks a lot Stephen!