Research On The Wear Prediction And State Recognition Of TBM Disc Cutter

The disc cutter installed at the front end of the TBM cutter head is the main tool for rock crushing,a key component and vulnerable part of the shield tunneling project;the wear status of the tool will directly affect the time and cost of the project.In this paper,the disc cutter wear is the main line,the finite element analysis method is used to simulate the rock breaking state of the damaged hob,the disc cutter motion trajectory formula is deduced,and the disc cutter wear prediction model is established;combining simulation and experimental data,through artificial neural network The model predicts the abnormal state of the disc cutter during the working process,which can help engineers identify the state of the disc cutter and formulate a scientific tool change strategy.The main research contents of this paper are as follows:(1)Based on the D-H matrix coordinate transformation method,a kinematic model of the arc length of the front point trajectory of the disc cutter breaking rock is established,and the theoretical model is verified by combining the Qinling tunnel engineering data and previous research results;on this basis,the slip is introduced.It is longer than calculating the arc length of the relative slip caused by the contact between the disc cutter and the rock.(2)Based on ABAQUS,the rotary rock breaking model of the disc cutter was established,and the influence of the uniform wear of the disc cutter on the rock breaking load and rock breaking efficiency of the disc cutter was investigated.The change of the shift ratio and the influence of penetration and installation radius on the rock breaking load of the hob;comparative analysis of the load and rock breaking specific energy of the disc cutter under the conditions of uniform wear,chord eccentric wear,blade eccentric wear,and blade fracture The impact of the rock-breaking load of neighboring hobs on the rock-breaking load of the adjacent hobs of different wear conditions of the disc cutter is compared and analyzed by the three-knife rotary rock breaking model.(3)Comprehensive disc cutter kinematics calculation and disc cutter rock breaking simulation load,based on energy wear theory to establish the mapping relationship between friction work and disc cutter wear amount for disc cutter wear prediction,and verify the theory through the Qinling tunnel engineering example;On this basis,considering the load change in the disc cutter wear process,a friction work accumulation algorithm is proposed to improve the accuracy of the wear prediction model;the program of the friction work accumulation algorithm wear prediction model is packaged through the Matlab graphical user interface.The model can predict the wear of positive hobs under granite and similar formations.(4)Integrating numerical simulation and artificial neural network,combining simulation data and experimental data,extracting the rock breaking load of the disc cutter as an input feature,and training a neural network model that can be used to identify the wear status of the hob;on this basis,through integration The network model further optimizes the predictive ability of the model.It has been verified that the integrated network model has an accuracy of 98% for the recognition of the normal wear status of the hob,78% of the severe wear status,and 85% of the abnormal wear status.The overall recognition The accuracy rate is 92.6%.