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TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS

Year 2018, Volume: 57 Issue: 1, 5 - 14, 01.03.2018
https://doi.org/10.30797/madencilik.422814

Abstract

In this study, unrelieved rock cutting experiments were conducted at the linear rock cutting
machine and the characteristics of tool forces were discussed. The correlations among tool
forces, specific energy, cutting depth, and rock strength were analyzed using single factor
regression analysis method. Based on multiple non-linear regression method, the models of
tool forces and specific energy were developed considering the rock strength and cutting depth.
The results indicate that models of tool forces have the superior performance. When the model
of specific energy is analyzed using the compressive strength of the rock, it was seen that the
correlations are weak compared to the model related to tensile strength of rock. In conclusion, it
is emphasized that the proposed models presented in this study are particularly recommended
for performance prediction of soft and medium-hard strength sandstones in case conical picks
are employed.

References

  • Balci, C., Bilgin, N. 2007. Correlative Study of Linear Small and Full-Scale Rock Cutting Tests to Select Mechanized Excavation Machines. Int J Rock Mech Min Sci, 44, 468-476
  • Balci, C., Demircin, M.A., Copur, H., Tuncdemir, H., 2004. Estimation of Optimum Specific Energy Based on Rock Properties for Assessment of Roadheader Performance. J S Afr Inst Min Metall, 104 (11), 633- 642
  • Bao, R.H., Zhang, L.C., Yao, Q.Y., Lunn, J., 2011. Estimating the Peak Indentation Force of the Edge Chipping of Rocks Using Single Point-Attack Pick. Rock Mech Rock Eng, 44, 339-347
  • Bilgin, N., Copur, H., Balci, C., 2012. Effect of Replacing Disc Cutters With Chisel Tools on Performance of a TBM in Difficult Ground Conditions. Tunn Undergr Space Technol, 27, 41-51.
  • Bilgin, N., Demircin, M.A., Copur, H., Balci, C., Tuncdemir, H., Akcin, N., 2006. Dominant Rock Properties Affecting the Performance of Conical Picks and the Comparison of Some Experimental and Theoretical Results. Int J Rock Mech Min Sci, 43, 139- 156.
  • Copur, H., Bilgin, N., Balci, C., Tumac, D. Avunduk, E., 2017. Effects of Different Cutting Patterns and Experimental Conditions on the Performance of a Conical Drag Tool. Rock Mech Rock Eng, DOI 10.1007/ S00603-017-1172-8.
  • Evans, I., 1984. A Theory of the Cutting Force for PointAttack. Int J Min Eng, 2, 63-71.
  • Goktan, R.M., 1997. A Suggested Improvement on Evans Cutting Theory for Conical Picks. Proce. of the Fourth International Symposium on Mine Mechanization and Automation, Brisbane, Queensland, Vol. I. P. A4~57-61.
  • Goktan, R.M., Gunes, N., 2005. A Semi-Empirical Approach to Cutting Force Prediction for Point Attack Picks. J S Afr Inst Min Metall, 105, 257-263.
  • Gunes, N., Yurdakul, M., Goktan, R.M., 2007. Prediction of Radial Bit Cutting Force in High-Strength Rocks Using Multiple Linear Regression Analysis. Int J Rock Mech Min Sci, 44, 962-970.
  • Gunes N., Tumac D., Goktan R.m. 2015. Rock Cuttability Assessment Using the Concept of Hybrid Dynamic Hardness (HDH). Bulletin of Eng Geo and the Env, 74(4):1-12.
  • He, X., Xu, C., 2016. Specific Energy as An Index to Identify the Critical Failure Mode Transition Depth of Rock Cutting. Rock Mech Rock Eng, 49 (4), 1461-1478. Nishimatsu, Y. 1972. The Mechanics of the Rock Cutting. Int J Rock Mech Min Sci, 9: 261-270.
  • Rojek, J., Oñate, E., Labra, C., Kargl, H., 2011. Discrete Element Simulation of Rock Cutting. Int J Rock Mech Min Sci, 48, 996-1010.
  • Rostami, J., Ozdemir, L., Neil, D.M., 1994. Performance Prediction: A Key Issue In Mechanical Hard Rock Mining. Min Eng, 46 (11), 1264-1267.
  • Roxborough, F.F., Liu, Z.C., 1995. Theoretical Considerations On Pick Shape In Rock and Coal Cutting. Proc of the Sixth Underground Operator’s Conference, Kalgoorlie, WA, Australia, P. 189-193.
  • Shao, W., Li, X.S., Sun, Y., Huang, H., 2017. Parametric Study of Rock Cutting With SMART* CUT Picks. Tunn Undergr Space Technol, 62, 134-144.
  • Su, O., Akcin, N.A., 2011. Numerical Simulation of Rock Cutting Using the Discrete Element Method. Int J Rock Mech Min Sci, 48, 434-442.
  • Tiryaki, B., 2009. Estimating Rock Cuttability Using Regression Trees and Artificial Neural Networks. Rock Mech Rock Eng, 42(6), 939-946.
  • Tiryaki, B., Boland, J.n., Li, X.s., 2010. Empirical Models to Predict Mean Cutting Forces on Point-Attack Pick Cutters. Int J Rock Mech Min Sci, 47, 858-864.
  • Tumac, D., Bilgin, N., Feridunoglu, C., Ergin, H., 2007. Estimation of Rock Cuttability from Shore Hardness and Compressive Strength Properties. Rock Mech Rock Eng, 40 (5), 477-490.
  • Wang, X., Liang, Y.P., Wang, Q.F., Zhang, Z.Y., 2017. Empirical Models for Tool Forces Prediction of DragTyped Picks Based on Principal Component Regression and Ridge Regression Methods. Tunn Undergr Space Technol, 62, 75-95.
  • Yurdakul, M., Gopalakrishnan, K., Akdas, H., 2014. Prediction of Specific Cutting Energy in Natural Stone Cutting Processes Using the Neuro-Fuzzy Methodology. Int J Rock Mech Min Sci, 67, 127-135.

KALEM UÇLU KESKİLERLE KUMTAŞI KAZISINDA KESKİ KUVVETLERİ VE SPESİFİK ENERJİ TAHMİN MODELLERİ

Year 2018, Volume: 57 Issue: 1, 5 - 14, 01.03.2018
https://doi.org/10.30797/madencilik.422814

Abstract

Bu çalışmada, doğrusal kesme setinde bağımsız kesme deneyleri yapılmış ve buna göre keski
kuvvetlerinin karakteristiği tartışılmıştır. Tek faktörlü regresyon analiz yöntemi kullanılarak keski
kuvvetleri, spesifik enerji, kesme derinliği ve kayacın dayanımı arasındaki ilişkiler analiz edilmiştir.
Ayrıca, kayacın dayanımı ve kesme derinliği göz önüne alınarak doğrusal olmayan çoklu
regresyon yöntemiyle keski kuvvetleri ve spesifik enerji modelleri geliştirilmiştir. Sonuçlar, kesme
ve normal kuvvetleriyle ilgili tüm modellerin oldukça üstün olduğunu göstermiştir. Spesifik enerji
ile basınç dayanımına bağlı olarak model kurulduğunda ilişki katsayılarının çekme dayanımına
göre zayıf olduğu belirlenmiştir. Sonuç olarak, bu çalışmada sunulan modellerin yumuşak ve ortasert
dayanımdaki kumtaşının kalem uçlu keski kullanılarak kazılması durumunda kullanımının
önerilebileceği vurgulanmıştır.

References

  • Balci, C., Bilgin, N. 2007. Correlative Study of Linear Small and Full-Scale Rock Cutting Tests to Select Mechanized Excavation Machines. Int J Rock Mech Min Sci, 44, 468-476
  • Balci, C., Demircin, M.A., Copur, H., Tuncdemir, H., 2004. Estimation of Optimum Specific Energy Based on Rock Properties for Assessment of Roadheader Performance. J S Afr Inst Min Metall, 104 (11), 633- 642
  • Bao, R.H., Zhang, L.C., Yao, Q.Y., Lunn, J., 2011. Estimating the Peak Indentation Force of the Edge Chipping of Rocks Using Single Point-Attack Pick. Rock Mech Rock Eng, 44, 339-347
  • Bilgin, N., Copur, H., Balci, C., 2012. Effect of Replacing Disc Cutters With Chisel Tools on Performance of a TBM in Difficult Ground Conditions. Tunn Undergr Space Technol, 27, 41-51.
  • Bilgin, N., Demircin, M.A., Copur, H., Balci, C., Tuncdemir, H., Akcin, N., 2006. Dominant Rock Properties Affecting the Performance of Conical Picks and the Comparison of Some Experimental and Theoretical Results. Int J Rock Mech Min Sci, 43, 139- 156.
  • Copur, H., Bilgin, N., Balci, C., Tumac, D. Avunduk, E., 2017. Effects of Different Cutting Patterns and Experimental Conditions on the Performance of a Conical Drag Tool. Rock Mech Rock Eng, DOI 10.1007/ S00603-017-1172-8.
  • Evans, I., 1984. A Theory of the Cutting Force for PointAttack. Int J Min Eng, 2, 63-71.
  • Goktan, R.M., 1997. A Suggested Improvement on Evans Cutting Theory for Conical Picks. Proce. of the Fourth International Symposium on Mine Mechanization and Automation, Brisbane, Queensland, Vol. I. P. A4~57-61.
  • Goktan, R.M., Gunes, N., 2005. A Semi-Empirical Approach to Cutting Force Prediction for Point Attack Picks. J S Afr Inst Min Metall, 105, 257-263.
  • Gunes, N., Yurdakul, M., Goktan, R.M., 2007. Prediction of Radial Bit Cutting Force in High-Strength Rocks Using Multiple Linear Regression Analysis. Int J Rock Mech Min Sci, 44, 962-970.
  • Gunes N., Tumac D., Goktan R.m. 2015. Rock Cuttability Assessment Using the Concept of Hybrid Dynamic Hardness (HDH). Bulletin of Eng Geo and the Env, 74(4):1-12.
  • He, X., Xu, C., 2016. Specific Energy as An Index to Identify the Critical Failure Mode Transition Depth of Rock Cutting. Rock Mech Rock Eng, 49 (4), 1461-1478. Nishimatsu, Y. 1972. The Mechanics of the Rock Cutting. Int J Rock Mech Min Sci, 9: 261-270.
  • Rojek, J., Oñate, E., Labra, C., Kargl, H., 2011. Discrete Element Simulation of Rock Cutting. Int J Rock Mech Min Sci, 48, 996-1010.
  • Rostami, J., Ozdemir, L., Neil, D.M., 1994. Performance Prediction: A Key Issue In Mechanical Hard Rock Mining. Min Eng, 46 (11), 1264-1267.
  • Roxborough, F.F., Liu, Z.C., 1995. Theoretical Considerations On Pick Shape In Rock and Coal Cutting. Proc of the Sixth Underground Operator’s Conference, Kalgoorlie, WA, Australia, P. 189-193.
  • Shao, W., Li, X.S., Sun, Y., Huang, H., 2017. Parametric Study of Rock Cutting With SMART* CUT Picks. Tunn Undergr Space Technol, 62, 134-144.
  • Su, O., Akcin, N.A., 2011. Numerical Simulation of Rock Cutting Using the Discrete Element Method. Int J Rock Mech Min Sci, 48, 434-442.
  • Tiryaki, B., 2009. Estimating Rock Cuttability Using Regression Trees and Artificial Neural Networks. Rock Mech Rock Eng, 42(6), 939-946.
  • Tiryaki, B., Boland, J.n., Li, X.s., 2010. Empirical Models to Predict Mean Cutting Forces on Point-Attack Pick Cutters. Int J Rock Mech Min Sci, 47, 858-864.
  • Tumac, D., Bilgin, N., Feridunoglu, C., Ergin, H., 2007. Estimation of Rock Cuttability from Shore Hardness and Compressive Strength Properties. Rock Mech Rock Eng, 40 (5), 477-490.
  • Wang, X., Liang, Y.P., Wang, Q.F., Zhang, Z.Y., 2017. Empirical Models for Tool Forces Prediction of DragTyped Picks Based on Principal Component Regression and Ridge Regression Methods. Tunn Undergr Space Technol, 62, 75-95.
  • Yurdakul, M., Gopalakrishnan, K., Akdas, H., 2014. Prediction of Specific Cutting Energy in Natural Stone Cutting Processes Using the Neuro-Fuzzy Methodology. Int J Rock Mech Min Sci, 67, 127-135.
There are 22 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Xiang Wang This is me 0000-0002-6179-6888

Qing-feng Wang This is me 0000-0002-9561-9206

Okan Su 0000-0003-1846-6020

Publication Date March 1, 2018
Submission Date August 4, 2017
Published in Issue Year 2018 Volume: 57 Issue: 1

Cite

APA Wang, X., Wang, Q.-f., & Su, O. (2018). TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS. Bilimsel Madencilik Dergisi, 57(1), 5-14. https://doi.org/10.30797/madencilik.422814
AMA Wang X, Wang Qf, Su O. TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS. Mining. March 2018;57(1):5-14. doi:10.30797/madencilik.422814
Chicago Wang, Xiang, Qing-feng Wang, and Okan Su. “TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS”. Bilimsel Madencilik Dergisi 57, no. 1 (March 2018): 5-14. https://doi.org/10.30797/madencilik.422814.
EndNote Wang X, Wang Q-f, Su O (March 1, 2018) TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS. Bilimsel Madencilik Dergisi 57 1 5–14.
IEEE X. Wang, Q.-f. Wang, and O. Su, “TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS”, Mining, vol. 57, no. 1, pp. 5–14, 2018, doi: 10.30797/madencilik.422814.
ISNAD Wang, Xiang et al. “TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS”. Bilimsel Madencilik Dergisi 57/1 (March 2018), 5-14. https://doi.org/10.30797/madencilik.422814.
JAMA Wang X, Wang Q-f, Su O. TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS. Mining. 2018;57:5–14.
MLA Wang, Xiang et al. “TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS”. Bilimsel Madencilik Dergisi, vol. 57, no. 1, 2018, pp. 5-14, doi:10.30797/madencilik.422814.
Vancouver Wang X, Wang Q-f, Su O. TOOL FORCES AND SPECIFIC ENERGY PREDICTION MODELS IN THE PROCESS OF SANDSTONES CUTTING BY USING CONICAL PICKS. Mining. 2018;57(1):5-14.

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