Surface probability model for estimation of size distribution on a conveyor belt

• Autorzy: Zhang Z , Yang J. , Dou D.

Identyfikatory

DOI

10.5277/ppmp140214

• Języki publikacji: EN

Abstrakty

EN

Estimation of size distribution by image analysis is a key issue in mineral engineering. However, only the surface information of ore piles can be captured, which is a headache problem in this field while only a few researchers pay attention to this problem. A new surface probability model was proposed for estimation of size distribution on a conveyor belt based on the Chavez Model in this investigation. This model was tested and verified to have smaller errors in single size fraction but have bigger errors in multiple size fractions. Several error trends were found and a correction factor was introduced to correct the higher errors. A series of linear equations were developed to calculate this specific correction factor according to Dm (average particle size) and the height of pile. Therefore, empirical probability can be estimated by the specific correction factor and calculated probability, and the surface information of ore piles can be converted into the global information of piles.

Słowa kluczowe

EN

size distribution; surface probability model; conveyor belt; particles

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Physicochemical Problems of Mineral Processing
• Rocznik: 2014
• Tom: Vol. 50, iss. 2
• Strony: 591--606
• Opis fizyczny: Bibliogr. 25 poz., rys.

Twórcy

autor

Zhang Z

• National Engineering Research Center of Coal Preparation and Purification, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China

autor

Yang J.

• National Engineering Research Center of Coal Preparation and Purification, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China

autor

Dou D.

• National Engineering Research Center of Coal Preparation and Purification, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China

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