Dissanayake Mudiyanselage, Susantha ORCID: https://orcid.org/0000-0002-0953-379X, Bradley, Michael, Zigan, Stefan, Salehi Kahrizsangi, Hamid ORCID: https://orcid.org/0000-0002-2516-6619 and Deng, Tong ORCID: https://orcid.org/0000-0003-4117-4317 (2023) Frequency domain analysis to identify main segregation contributors in a chain of material handling. In: ICBMH2023: 14th International Conference on Bulk Materials Storage, Handling and Transportation. ICBMH - The Institution of Engineers, Wollongong, NSW Australia, pp. 372-380. ISBN 978-1925627831

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Abstract

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 Proceedings
Title of Proceedings:	ICBMH2023: 14th International Conference on Bulk Materials Storage, Handling and Transportation
Uncontrolled Keywords:	CA modelling; frequency domain analysis; segregation; methodology; storage; sampling
Subjects:	T Technology > T Technology (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
Related URLs:	Organisation
Last Modified:	14 Mar 2024 15:14
URI:	http://gala.gre.ac.uk/id/eprint/43707

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