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Modelling energy and size distribution in cone crushers
University of Borås, Faculty of Textiles, Engineering and Business.ORCID iD: 0000-0002-3283-067x
2019 (English)In: Minerals Engineering, Vol. 139Article 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]

The modelling of breakage in compression breakage has traditionally been done using population balance modelling, and the research has been developed over the last decades into advanced dynamic models. This paper presents a model for predicting particle size distribution and energy consumption. The particle size distribution model is derived using a first-order differential equation for how the coefficient of variance depends on the compression length. The coefficient of variance model is combined with a bimodal Weibull distribution to predict the cumulative size distribution. The power consumption is modelled in a similar way using Weibull analysis to determine the relationship between power consumption and the coefficient of variance.

Place, publisher, year, edition, pages
2019. Vol. 139
Keywords [en]
Modelling, Weibull analysis, Piston and die test
National Category
Engineering and Technology Materials Engineering
Research subject
Resource Recovery
Identifiers
URN: urn:nbn:se:hb:diva-21756DOI: 10.1016/j.mineng.2019.105869OAI: oai:DiVA.org:hb-21756DiVA, id: diva2:1353296
Available from: 2019-09-22 Created: 2019-09-22 Last updated: 2019-10-08Bibliographically approved

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Bengtsson, Magnus

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