Dust generation in Lean phase conveying system

Posted in: , on 16. Jan. 2005 - 06:49

Please help me how to calculate this... The raw material is plastics granular of GPPS, HIPS & PP and has to be transported from feed hopper to 22 Meters height SILO. (Output 3 Tons/ Hour only).... nos. of bend 3, pipe dia=80 mm... the root blower will be of 300M3/Hr. capacity with 400 mbar pressure max. (0 mbar = 0 pressure)

what will be dust generation while conveying with high speed generated by Dilute Phase conveying system... I have received some suggestion like stoke's law and material breakage data... but please give me calculation on base of above data... or what are the steps involve in calculating final dust percentage (we assume that fresh virgin has zero dust in the begining)

Does any specsheet or data sheet available to calculate the dust percentage generation in this process ?

Dennis Hauch - Freeport, TX, USA
(not verified)

Dust Generation

Erstellt am 16. Jan. 2005 - 02:39

Dust generation is influenced by several factors, i.e. conveying velocity and conveying temperature, product formulation and additive package, the inside surface of conveying pipe, and the number and type of bends in the pipeline.

Dust generation may be measured and correlated according to the above parameters, e.g. X ppm / 100 meters of conveying distance, but unfortuately there is no calulation based on first priciples that will allow one to directly calculate fines generation.

Dennis Hauch

Re: Dust Generation In Lean Phase Conveying System

Erstellt am 16. Jan. 2005 - 08:09

Dhruv; Dennis,

Product degradation, can in many instances, be derived from first principles. The steps to do so are given with associated references following the steps:

1. derive the particle strength that resists breakage, by size, in laboratory tests - this establishes the surface energy by measuring degree of breakage, for a group of necessary particle sizes to establish size range continuity, from a known kinetic energy delivery to each size and its resulting surface area liberated by size.

2. model each necessary single particle size breakage behavior, from step 1 lab tests with measurements of particle physical properties (size, shape, density, elasticity, poisson ratiotensile strength; surface energy constant), classification of shapes and strengths, by sizes, using a discrete grain breakage model (DGB). This is an extension of DEM with a fracture FEM model added within each particle subgroup. See our website referenced below.

3. generate representative population of particles, by size, et al, for modeling by DGB model in a pneumatic CFD (weakly compressible) flow field with particles to obtain collision (normal and tangential) energy spectrum and frequency of collision for each representative particle size. This discrete set can then be used to produce a continuum over the particle size range.

4. define differential(energy/paricle size) equation (CDI developed IP) properties that explicitly resolves breakage for all partilce sizes -- assumes a reasonable homogenous behavior of breakage.

5. use population balance model (PBM) to extrapolate step 3 and 4 to cover up to two maginitudes of sizes beyond the DEM modelled size range, which is typically 10:1. A 4 decade size range can be established that defines the particle breakage shift from the original particle continuum.

CDI has developed such a model (1995-1999) and have applied it to cruching and grinding mills and have completed a 1.5 year due-diligence program.

The above process is costly for a one-of. Our hope is to establish a database such that one has to simply run the flow model to obtain the energy spectra that can then predict the degradatio of fines from the base size distribution.

REFERENCES:

1 L. K. Nordell and A. V. Potapov Comminution Simulation Using Discrete Element Method (DEM) Approach - From Single Particle Breakage to Full-Scale SAG Mill Operation SAG Annual Convention, Vancouver, BC September-October, 2001

2 X. Qiu, A. Potapov, M. Song, L. Nordell Prediction of Wear of Mill Lifters using Discrete Element Method SAG Annual Convention, Vancouver, BC September-October, 2001



3 M. Song, X. Qiu, A. Potapov, L. Nordell MILLSTAT - A Software Package for Statistical Analysis of Mill Databases SAG Annual Convention, Vancouver, BC September-October, 2001



4 J. A. Herbst and L. K. Nordell Optimization of the Design and SAG Mill Internals Using High Fidelity Simulation SAG Annual Convention, Vancouver, BC September-October, 2001

Lawrence Nordell

www.conveyor-dynamics.com

Lawrence Nordell Conveyor Dynamics, Inc. website, email & phone contacts: www.conveyor-dynamics.com nordell@conveyor-dynamics.com phone: USA 360-671-2200 fax: USA 360-671-8450