Grinding process simulation based on Rosin-Rammler equation

Delagrammatikas, G; Tsimas, S

dc.contributor.author	Delagrammatikas, G	en
dc.contributor.author	Tsimas, S	en
dc.date.accessioned	2014-03-01T01:20:35Z
dc.date.available	2014-03-01T01:20:35Z
dc.date.issued	2004	en
dc.identifier.issn	0098-6445	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15971
dc.subject	Grinding	en
dc.subject	Particle size distribution	en
dc.subject	Simulation	en
dc.subject	Size reduction	en
dc.subject.classification	Engineering, Chemical	en
dc.subject.other	Computer simulation	en
dc.subject.other	Energy utilization	en
dc.subject.other	Functions	en
dc.subject.other	Mathematical transformations	en
dc.subject.other	Particle size analysis	en
dc.subject.other	Energy consumption functions	en
dc.subject.other	Rosin-Rammler equation (RR)	en
dc.subject.other	Grinding (comminution)	en
dc.subject.other	grinding	en
dc.title	Grinding process simulation based on Rosin-Rammler equation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/00986440490472625	en
heal.identifier.secondary	http://dx.doi.org/10.1080/00986440490472625	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	In many grinding cases, mainly during the last stages of the process, the cumulative particle size distribution is found to follow the Rosin-Rammler equation (RR), the parameters of which can be used as essential criteria to the operation progress. This article presents a method for developing a simplified, easy-to-use process model by utilizing data from laboratory grinding of limestone and clinker and applying some appropriate mathematical transformations to the RR. The proposed simulation model follows the evolution of the particle size range below 200 μm and allows for adequate precision during the last, most energy-consuming grinding stages. These process stages are also the most decisive in defining the final product size distribution profile. By applying the model, in laboratory and industrial scale, it is possible to combine the characteristics of the materials of interest and the grinding equipment with the RR parameters, the latter expressed as process-time or energy consumption functions. © Taylor and Francis Inc.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	Chemical Engineering Communications	en
dc.identifier.doi	10.1080/00986440490472625	en
dc.identifier.isi	ISI:000223617700007	en
dc.identifier.volume	191	en
dc.identifier.issue	10	en
dc.identifier.spage	1362	en
dc.identifier.epage	1378	en