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Empirical energy and size distribution model for predicting single particle breakage in compression crushing
University of Borås, Faculty of Textiles, Engineering and Business.ORCID iD: 0000-0002-3283-067x
2021 (English)In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 171, article id 107094Article in journal (Refereed) Published
Sustainable development
According to the author(s), the content of this publication falls within the area of sustainable development.
Abstract [en]

Crusher models presented in research is calibrated using experimental data. This approach is everyday praxis and is made in many different ways. One method is to use two different compression tests. The single-particle breakage test (SPB) and the inter-particle breakage test (IPB). Models for predicting the breakage energy and size distribution for the SPB test and also to show the correlation between the SPB and IPB test is presented. The results show that Weibull analysis and Rosin-Rammer distributions are a successful way to model both energy and size distribution for SPB and IPB based compression crushing. The number of experiments conducted in both SPB and IPB tests can be drastically reduced by testing the lowest and highest compression ratio values used in the original SPB and IPB tests. The results also show a strong correlation between the SPB and IPB tests when evaluating the relationship between the consumed breakage energy and the coefficient of variance. The energy model is compared with Bond Work Index (BWI), and it was shown that the model parameter C shows a good correlation with BWI. A full-scale validation of a cone crusher is made, presenting a calculation scheme for addressing the use of the IPB and SPB models for predicting the size distribution.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 171, article id 107094
Keywords [en]
Compression crushing, Modelling, Weibull analysis, Rosin-Rammler Distribution
National Category
Engineering and Technology
Research subject
Business and IT
Identifiers
URN: urn:nbn:se:hb:diva-26104DOI: 10.1016/j.mineng.2021.107094ISI: 000687775400010Scopus ID: 2-s2.0-85111634698OAI: oai:DiVA.org:hb-26104DiVA, id: diva2:1583296
Available from: 2021-08-05 Created: 2021-08-05 Last updated: 2022-01-18Bibliographically approved

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Bengtsson, Magnus

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