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Development of models for estimating specific energy and specific wear rate of circular diamond saw blades based on properties of carbonate rocks

  • Colorado School of Mines
  • Afyon Kocatepe University

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents an experimental study to assess the effects of physical and mechanical properties of carbonate rocks and diamond/metal matrix characteristics on performance and tool life of segmented circular sawblades. For this purpose, pertinent rock properties including strength, hardness, abrasivity, water absorption, porosity and unit weight were measured by laboratory tests and compiled into a database for subsequent analysis. The testing program including using six commercially available sawblades with different segment compositions in full scale tests. The related characteristics of the sawblades were diamond concentration, Vickers hardness of the hard facing matrix, mean diamond grain size, cobalt, tin, copper, and ferrous content. Thirteen different carbonate rocks including marble, limestone, and travertine samples from various sites in Turkey were used in the experimental program. The experimental data was analysed by multiple linear and nonlinear regression analysis to develop models for estimation of specific energy (SE) and specific wear (SW) rates using rock properties and sawblades segment parameters. The proposed models were validated by comparing the results of their prediction with those of actual test results and showed good agreements. The concept of optimum total (cutting) cost (OTC) estimation for natural stone cutting is also discussed in the context of estimating sawblade wear life.

Original languageEnglish
Article number104497
JournalInternational Journal of Rock Mechanics and Minings Sciences
Volume135
DOIs
Publication statusPublished - Nov 2020

Funding

The Scientific and Technological Research Council of Turkey (TUBITAK-BIDEB 2219/1059B191400233) provided financial support for Dr. S. Buyuksagis as visiting scholar at Penn State University, USA.

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştirma KurumuTUBITAK-BIDEB 2219/1059B191400233
Pennsylvania State University

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 4 - Quality Education
      SDG 4 Quality Education
    2. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy
    3. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure
    4. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities
    5. SDG 12 - Responsible Consumption and Production
      SDG 12 Responsible Consumption and Production
    6. SDG 17 - Partnerships for the Goals
      SDG 17 Partnerships for the Goals

    Keywords

    • Carbonate rocks
    • Diamond segments
    • Specific energy
    • Specific wear
    • Statistical analyses
    • Optimal total cost

    ASJC Scopus subject areas

    • Geotechnical Engineering and Engineering Geology

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