Performance prediction of chain saw machines using schmidt hammer hardness

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dc.contributor.authorDursun, Arif Emre
dc.date.accessioned2020-03-26T20:11:49Z
dc.date.available2020-03-26T20:11:49Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractSchmidt hammer hardness (RL) provides a quick and inexpensive measure of surface hardness that is widely used for estimating the mechanical properties of rock material such as strength, sawability, cuttability and drillability. In this study, RL as predictors, which is thought to be a useful, simple and inexpensive test particularly for performance prediction of chain saw machine (CSM), is suggested. This study aims to estimate CSM performance from RL values of rocks. For this purpose, rock cutting and rock mechanics tests were performed on twenty four different natural stone samples having different strength values. In this study, Chain Saw Penetration Index (CSPI) has been predicted based on RL which is one of the two models previously used for performance prediction of CSMs. The RL values were correlated with UCS, CSPI and SE using simple regression analysis with SPSS 15.0. As a result of this evaluation, RL has a strong relation with UCS and SE. It is statistically proved that the model based on RL for predicting CSPI is valid and reliable for performance prediction of CSM. Results of this study indicated that the CSPI of CSMs could be reliably predicted by empirical model using RL © 2018 Union of Chambers of Engineers and Architects of Turkey. All Rights Reserved.en_US
dc.identifier.citationDursun A. E. (2018). Performance prediction of chain saw machines using schmidt hammer hardness. Scientific Mining Journal, 57(1), 25-33.
dc.identifier.endpage33en_US
dc.identifier.issn2564-7024en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage25en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37227
dc.identifier.volume57en_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherUnion of Chambers of Engineers and Architects of Turkeyen_US
dc.relation.ispartofScientific Mining Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectChain saw machinesen_US
dc.subjectRock cutting testsen_US
dc.subjectSchmidt hammer hardnessen_US
dc.subjectSpecific energyen_US
dc.titlePerformance prediction of chain saw machines using schmidt hammer hardnessen_US
dc.typeArticleen_US

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