Field and laboratory studies on natural stones leading to empirical performance prediction of chain saw machines

Hanifi Copur*, Cemal Balci, Deniz Tumac, Nuh Bilgin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)

Abstract

Quarries using chain saw machines have been visited to collect natural stone samples and recording performance and operational conditions of these chain saw machines. After defining the physical and mechanical properties, the samples were tested with a linear cutting test rig using chisel type cutting tools having different sideways angles to determine the cuttability of the stones; this included the maximum tool forces and relationships between cutting performance of chisel tools and the mechanical properties of the stones. Two empirical models for prediction of the areal net cutting rate of the chain saw machines were developed, which is very important for decision makers at the feasibility stage of a quarrying operation. One of the models is based on the chain saw penetration index, and uses the uniaxial compressive strength of the stone, weight of the chain saw machine and useful cutting depth of the arm as predictor parameters. The other model is based on the results of linear cutting experiments performed in the unrelieved cutting mode with a standard chisel tool and uses specific energy as the predictor parameter.Experimental studies indicate that laboratory cutting performance and optimum cutting conditions for chisel tools can be reliably predicted by using uniaxial compressive strength and Brazilian tensile strength of the stone. Variation in maximum tool forces, which is very important and required by machine manufacturers to design the tool, tool holder, and chain and evaluate machine vibrations, is found for different sideways angles of the cutting tools. It is statistically proved that the model based on chain saw penetration index and linear cutting experiments are valid and reliable for predicting the areal net cutting rate of chain saw machines.

Original languageEnglish
Pages (from-to)269-282
Number of pages14
JournalInternational Journal of Rock Mechanics and Mining Sciences
Volume48
Issue number2
DOIs
Publication statusPublished - Feb 2011

Funding

This study summarizes some of the results of a research project supported by the Scientific and Technological Research Council of Turkey (TUBITAK) [27] . Block samples of different natural stones obtained from quarries located in Turkey were first tested for defining some of the basic physical and mechanical properties, and then cut on a linear cutting test rig using chisel type cutting tools with different sideways angles at different cutting conditions. The linear cutting test is performed to find out a stone’s cuttability and relationships between cutting performances of chisel tools with different sideways angles and mechanical properties of the stone, and maximum tool forces, which is very important and required by machine manufacturers to design tool, tool holder, and chain and evaluate machine vibrations. The results of laboratory and field studies were used to develop empirical models for predicting areal net cutting rates of chain saw machines. Two empirical models are suggested and statistically verified. One of the models is based on chain saw penetration index. The other model is based on the results of linear cutting experiments performed in unrelieved cutting mode with a standard chisel tool, which is simpler than full simulation of a sequence of tools.

FundersFunder number
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Keywords

    • Chain saw machines
    • Chain saw penetration index
    • Chisel tools
    • Linear cutting tests
    • Maximum tool forces
    • Optimum cutting geometry
    • Performance prediction
    • Sideways angle

    Fingerprint

    Dive into the research topics of 'Field and laboratory studies on natural stones leading to empirical performance prediction of chain saw machines'. Together they form a unique fingerprint.

    Cite this