Predicting the production rate of diamond wire saws using multiple nonlinear regression analysis

Autor:	Mohammad Ataei, Golsa Sadegheslam, Reza Mikaeil, Reza Rooki, Saleh Ghadernejad
Rok vydání:	2013
Předmět:	Engineering Environmental Engineering business.industry Diamond engineering.material Pollution Diamond wire saw Compressive strength Statistical analysis Geotechnical engineering business Waste Management and Disposal Nonlinear regression Elastic modulus Quartz Production rate
Zdroj:	Geosystem Engineering. 16:275-285
ISSN:	2166-3394 1226-9328
DOI:	10.1080/12269328.2013.856276
Popis:	In this paper, the prediction of production rate of diamond wire saws was performed. Performance measurements of diamond wire saws were conducted on 14 different carbonate rocks in mines located in Iran. Rock samples were collected from the mines for laboratory tests. Elasticity modulus, quartz content, and uniaxial compressive strength (UCS) were determined in the laboratory. Production values were correlated with the corresponding elasticity modulus, quartz content, and UCS. The sawing speed and rock properties were evaluated using multiple nonlinear regression analysis, and the developed model was validated by statistical tests and actual data of sawing speed for four new mines. It was concluded that the sawing speed of carbonate rocks using diamond wire saws can reliably be estimated using the developed model.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::282bffa918e0757c81051ce46e8bc93a https://doi.org/10.1080/12269328.2013.856276 Zobrazit plný text záznamu