Yang Zilong, Hu Yong, Xu Mingxu, Pang Hao, Gu Youpeng, Zheng Baicheng
Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Changchun, 130022, China.
School of Mechanical and Aerospace Engineering, Jilin University, Jilin, 130012, China.
Sci Rep. 2024 Nov 19;14(1):28558. doi: 10.1038/s41598-024-80059-0.
Small-scale rock cutting tests serve as a simple approach to evaluate the performance of tunnel boring machines (TBMs), but the feasibility of this method requires further investigation. Herein, a small-scale rotary cutting machine is developed to conduct rock cutting tests, and the cutting performance is investigated. The results indicate that similar cutting performance can be achieved through both small-scale and full-scale tests. The critical penetration depth for effective rock cutting by the cutter is 0.5 mm, below which the cutter grinds against the rock. The optimal ratio of cutting spacing to penetration depth obtained in small-scale tests is 4.47. A result within the empirical range can be achieved by multiplying the optimal small-scale cutting parameters with the scale coefficient, demonstrating the feasibility of using small-scale tests to guide the design of cutter heads. Based on the test result, the scale prediction model is constructed to predict the full-scale cutting force. The predictive capability of the proposed model and CSM model is validated using 72 sets of full-scale test data involving the same types of rock, and the predictions of the proposed model are closer to the test data.
小规模岩石切割试验是评估隧道掘进机（TBM）性能的一种简单方法，但该方法的可行性仍需进一步研究。在此，开发了一种小规模旋转切割机来进行岩石切割试验，并对切割性能进行了研究。结果表明，小规模试验和全尺寸试验均可获得相似的切割性能。刀具有效切割岩石的临界穿透深度为0.5毫米，低于该深度时刀具会与岩石摩擦磨削。在小规模试验中获得的最佳切割间距与穿透深度之比为4.47。将小规模试验的最佳切割参数乘以比例系数，可得到经验范围内的结果，这证明了使用小规模试验指导刀盘设计的可行性。基于试验结果，构建了比例预测模型以预测全尺寸切割力。利用72组涉及相同类型岩石的全尺寸试验数据验证了所提模型和CSM模型的预测能力，所提模型的预测结果更接近试验数据。
