The large triangular variable-range assembly,an important supporting and loading component of rotary drilling machines,secures a crucial role in normal operation and operational quality.Based on its working characteristics,the static dynamics and modal analyses are conducted by ANSYSTM upon two typical working conditions,i.e.drilling and hoisting.Therefore,this approach sets a theoretically reliable reference to structural improvement and optimization.
In order to further improve the riding comfort of trackless rubber tire vehicle, to ensure the safety of coal mine underground transportation, a quarter vehicle of the dynamics equation was established for two-degree of freedom suspension system. And the underground road roughness value of the input signal was calculated. Then based on the Simulink module of MATLAB software, the mathematical simulation model of suspension system was built. The analysis result showed that the vibration of the wheel and the body of curve. Finally through the Simulink simulation model, the paper analyzed the suspension spring stiffness and damping coefficient change on the influence of vehicle vibration system performance indicators. Simulation results showed that when the suspension spring stiffness was 223.5kN/m, the suspension damping coefficient was 1.91 kN· s/m, the trackless rubber tire vehicle anti-vibration effect was best, and its vibration characteristic was relatively sensitive to the change of spring stiffness. The results for coal mine underground trackless rubber-tyred vehicle suspension system provides theory basis for the design and structure optimization.
In order to solve the problem of mutual interference between the double power heads in anchor drilling rig and improve the efficiency and reliability of the whole machine, a hydraulic system principle diagram of the anchor drilling rig is set up. According to the working principle of the anchor drilling rig, a simplified model is built and studied by AMESim software. Furthermore, the hydraulic system is tested on the simulation test bench. The result shows that when the double power heads operate under no load condition and rated condition, the output flow and pressure are independent and have no influence each other. The field test shows that the rotary and feeding action of the double power heads can meet the design requirements, the stable rotational speed of the power head 1 and the power head 2 are 354.1 r/min and 361.3 r/min respectively, and the stable output torque are 310.2 N·m and 308.5 N·m respectively. The results provide a theoretical basis for the optimization design of the double power heads in anchor drilling rig at the same time.
The deformation control of surrounding rocks is one of the key problems in deep mining, especially floor heave control.In view of coal mine disaster caused by roadway surrounding rock under complex geological conditions, the lack of special mechanical control technology and equipment, the construction characteristics of the surrounding rock maintenance technology is analyzed, the roadway multifunction repair machine and the floor anchor drill rig are developed and applied at Binchang Coalmine of shaanxi province.The field test results show that the set of technical equipment can effectively improve the mechanization and technology level of the coal mine roadway surrounding rock control.The study provides a reliable guarantee for the safe and efficient production, and has significance in the downsizing for efficiency in coalmines.
Since the operators of drilling device fleets in underground coal mines are low in efficiency, failing to meet the requirement of downsizing and synergia there, while operational arrangement of rig fleets mainly depends on the experiences of the management, requiring the management has higher expertise, but they are not able to make accurate and reasonable judgment, this paper puts forth a method to intelligently optimize the drilling device fleets by using KPCA-MDT algorithm: first, the characteristics of strata to be operated, and the numbers of workers, drilling devices and drill stems etc. are taken as condition attributes and KPCA algorithm is applied to extract the features of the datasets to eliminate the correlations among all influencing factors; second, the training samples extracted with features are analyzed with MDT to search for the optimal weight of each attribute, and on the basis of local optimization, the classified boundary model of rigs is disturbed stochastically in an effort to find out better boundary; finally, the network optimization model of drilling device fleets aimed to minimize the overall operational period is built, and part of the decision tree is reconstituted to cut the expenditure of training time by using and adjusting the order to divide attributes in the branch path. Through testing with an experimental example at the site, the operational period is shortened by 3.79% and the accuracy of the algorithm rises by 21.2%, achieving great result from optimization. This is a reliable method to intelligently optimize the operation of drilling device fleets in the underground coal mines.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)