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Frequency domain analysis to identify main segregation contributors in a chain of material handling

Frequency domain analysis to identify main segregation contributors in a chain of material handling

Dissanayake Mudiyanselage, Susantha ORCID: 0000-0002-0953-379X, Deng, Tong ORCID: 0000-0003-4117-4317, Stefan, Zigan and Bradley, Michael (2023) Frequency domain analysis to identify main segregation contributors in a chain of material handling. In: The 14th International Conference on Bulk Materials Storage, Handling and Transportation, 11th - 13th July 2023, Wollongong, New South Wales, Australia. (In Press)

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43707_DISSANAYAKE_Frequency_domain_analysis_to_identify_main_segregation_contributors_in_a_chain_of_material_handling.pdf - Accepted Version

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PDF (Conference program)
43707_DISSANAYAKE_Frequency_domain_analysis_to_identify_main_segregation_contributors_in_a_chain_of_material_handling_CONFERENCE PROGRAM.pdf - Other

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During handling and storage, many bulk solids degrade to create fines and dust and have a greater tendency to segregate. Fines and dust spikes can be observed during silo discharge as a result of segregation. Fines spikes increase the risk of fire and dust explosion, as well as inefficient pneumatic conveying (high energy consumption) and increased cleaning costs. Furthermore, final processing and use of the bulk solid is often affected by variation of particle size distribution due to inconsistent material flow, chemistry and behaviour. As a result, forecasting fines levels in the discharge stream is critical to help operators achieve more consistent fines level throughout material discharge. Typical handling chains feature multiple stages of inventory holding (silo, stockpile, ship hold, train loading hopper etc) each of which contributes to the segregation. Various approaches may be utilised to model segregation in individual handling steps, but modelling of an entire handling process from end to end through multiple steps (stockpiles, silos, ship holds, hoppers etc) is challenging, requiring high-end computers taking a long time to simulate, making it prohibitive to explore multiple different methods of managing the chain to minimise segregation. Therefore, this study develops a method to detect the key segregation contributors in a chain of solids handling, so that attention can be directed most effectively to the area that can yield most benefit. A Frequency Domain method has been devised, based on each volume of inventory holding (e.g. a silo or a stockpile) having both a “forcing function” (i.e. introducing its own characteristic segregation pattern) and a “damping function” (attenuating segregation from previous steps). This is applied to storage vessels ranging from a thousand tonnes up to multiple tens of thousands of tonnes through the handling chain and is shown to identify very clearly and simply how much each step contributes to the segregation at the end of the chain.

Item Type: Conference or Conference Paper (Paper)
Uncontrolled Keywords: CA modelling; frequency domain analysis
Subjects: Q Science > Q Science (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TH Building construction
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENG)
Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology
Last Modified: 15 Aug 2023 10:54

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