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Wang T.,Shenyang Jianzhu University | Zhang K.,Shenyang Jianzhu University | Sun H.,Shenyang Jianzhu University | Wu Y.,Shenyang Jianzhu University | Zhao K.,Northern Heavy Industries Group Co.
Advanced Materials Research | Year: 2010

Full face rock tunnel boring machine (TBM) plays an important role in boring rock of tunnel. The failure of disc cutter is the main reason leading to low efficiency of TBM. In this paper, analysis of force and motion for disc cutter are carried by using ABAQUS to study stress distribution and concentration in disc cutter and rocks. Influence of different rocks on stress in disc cutter is analyzed. By combination the failure modes of disc cutter and its stress distribution, methods of decreasing failures of disc cutter are presented. Wear resistance and service life of disc cutter are improved by matching the materials of disc cutters with rocks. The results are useful for structural optimization and strengthening treatment of material of disc cutter. © (2010) Trans Tech Publications. Source

Wang H.,Dalian University of Technology | Wang H.,Shenyang Jianzhu University | Wu Y.,Shenyang Jianzhu University | Sun H.,Shenyang Jianzhu University | And 2 more authors.
Advanced Materials Research | Year: 2010

Disc cutter is the key part in Tunnel Boring Machine (TBM). Wear and tear of disc cutter is the main reason of low efficiency and high cost of this machine. Forces and deformations of disc cutter ring are foundation for its design and assembly. In this paper, the analysis of stress and deformation are carried to study their distribution; Wear mechanism of disc cutter ring is presented; modal analysis is carried to study the vibration of disc cutter ring. The results show the yield strength and rigidity of disc cutter ring is very high; disc cutter ring can avoid resonance and meet the engineering requirement. The results are very helpful for digital design of disc cutter ring used in different geology conditions. © (2010) Trans Tech Publications. Source

Zhang J.-W.,Baosteel | Yuan N.-B.,Sinosteel Xingtai Machinery and Mill Roll Co. | Huang D.-S.,Northern Heavy Industries Group Co.
Zhuzao/Foundry | Year: 2012

Traditional indefinite chill double pour(ICDP) material was used as work roll on heavy plate mill at present. For the improving production efficiency of steel plant, the requirement on the performance of the work roll was higher and higher. Through adjusting the composition of alloy, the improved ICDP work rolls for plate mill were produced, of which the morphology of carbide and graphite significantly changed. The results show that wear resistance of the improved ICDP rolls increased more than 20%comparing with the traditional products. Source

Zhang G.Y.,Jilin University | Wang X.M.,Taiyuan Heavy Machinery Co. | Guo R.,Northern Heavy Industries Group Co. | Wang G.Q.,Jilin University
Applied Mechanics and Materials | Year: 2013

This paper presents an improved particle swarm optimization (PSO) algorithm based on genetic algorithm (GA) and Tabu algorithm. The improved PSO algorithm adds the characteristics of genetic, mutation, and tabu search into the standard PSO to help it overcome the weaknesses of falling into the local optimum and avoids the repeat of the optimum path. By contrasting the improved and standard PSO algorithms through testing classic functions, the improved PSO is found to have better global search characteristics. © (2013) Trans Tech Publications, Switzerland. Source

Zhang T.-R.,Northeastern University China | Yu T.-B.,Northeastern University China | Zhao H.-F.,Northern Heavy Industries Group Co. | Wang W.-S.,Northeastern University China
Dongbei Daxue Xuebao/Journal of Northeastern University | Year: 2015

Complex fault mechanism and operation parameters of the tunnel boring machine (TBM) were analyzed, and the method of rough set and decision tree algorithm applying to data mining was studied. Take several MATLAB 7.0 dispersed data of tunnel boring machine cutter head as an example, the redundancy attribute of fault samples was reduced by the combination with the rough set attribute reduction algorithm. The rules were extracted with the decision-making tree algorithm. The C4.5 algorithm and the improved C4.5 algorithm were implemented with the data mining tool Clementine, with the results compared. The data was tested by the VB programming. The results showed that the fusion algorithm is a rapid, effective and reliable approach for fault detection and diagnosis. ©, 2015, Northeastern University. All right reserved. Source

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