Geomechanics and Engineering A

Volume 38, Number 4, 2024, pages 367-380

DOI: 10.12989/gae.2024.38.4.367

A new prediction model of force evolution behavior of a conical pick by indentation tests

Xiang Wang, Ming S. Gao, Okan Su and Dan Huang

Abstract

In this study, a prediction model for the cutting force evolution in brittle rocks was developed. This model is based on indentation tests using a conical pick at a cutting depth of 9 mm. The behavior of the indentation mechanism was analyzed in three phases by using Evans'cutting mode. The peak values in the force history identified these phases. The variation in the local strength of the rock caused a large offset in the model prediction of chipping. Regression analyses showed that there is a strong power relationship between the upper bound of the cutting force along with chipping and depth of cut. The slope of the three crushing phases has been found to increase sequentially (a1,a2,a3). In addition, a positive correlation existed between the Schmidt hardness and brittleness index that affects the lower and upper bounds of chipping. Consequently, the results clearly demonstrate that the new model can reasonably predict the evolution of the cutting force based on experimental data. These results would be beneficial for engineers to design and select the optimum excavation machine to reduce mechanical vibration and enhance cutting efficiency.

Key Words

conical pick; Evans' cutting mode; indentation test; rock cutting

Address

Xiang Wang: School of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, China; Institute of Mining Engineering, Beijing General Research Inst. of Min. and Metall., Beijing 102628, China Ming S. Gao: School of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, China Okan Su: Department of Mining and Mineral Extraction, Zonguldak Bülent Ecevit University, Zonguldak 67600, Türkiye Dan Huang: Institute of Mining Engineering, Beijing General Research Inst. of Min. and Metall., Beijing 102628, China