Reconstruction Study On The Load Spectrum Of Pick Cutting Coaland Rock Based On Regularization Algorithm

To explore the solution method of load spectrum reconstruction of picks crushingcoal rock, achieve effective extraction of load spectrum characteristics of pickscrushing coal rock and achieve quantitative determination of extraction andidentification of load spectrum characteristics of cutter cutting coal rock. Analyze theinterconnections of cutter crushing coal rock load spectrum characteristics for coalrock bedding joint properties, different wedge angle and other parameters and thetopology of different cutting parameters. The load spectrum regularizationreconstruction algorithm was proposed based on theory of pick crushing coal rock.Based on the experimental data, the cutting load spectrum was reconstructed by themethods of experimental, theoretical analysis and computer simulation.On the basis of the cutting theory, considered the compressive strength of coalrock, developed a simulated coal wall which is configured according to thecharacteristics of the coal bedding joint. By uniaxial compression experimental studythe quantitative relationship of the compressive strength and the ratio of coal and rockmaterial. Experimental methods for the study, carried cutter cutting coal rock test onthe adjustable parameters multi-teeth rotate cutting bench, discussed that the cuttingload rule is impacted by the correlated parameters which included the wedge anglecutter, cutting thickness and tooth tip angle. On the basis of experimental curve,established the cutting load spectrum reconstruction mathematical model, usingregularization (modified discrete regularization, wavelet-regularization) as solutionmethod, studied40and45wedge angle cutter’s rotating cutting experimental loadspectrum reconstruction results and identification of the eigenvalues. Get the Internalrelation between the load spectrum statistical characteristics and frequencycharacteristics under different wedge angles, and get the topology associated ofdifferent wedge angles and other parameters. Reference the cutting reconstruct loadspectrum, regularization parameter is selected by the L-curve method and the GCVmethod, researched on the impact of different regularization parameters onreconstruction load spectrum, given the best way to select a regularization parameter,achieve cutter cutting load spectrum quantitative reconstruction and its characteristicsextraction and recognitionStudies have shown that with the increase of pulverized coal-to-cement ratio,coal rock compressive strength ydecreases exponentially in the experiment, fitting relationship: y92.124e1.0969. Cutter rotary broken coal load spectrum outlinewhich is similar to the cutting face is crescent-shaped. Load spectrum were reducedafter the first change increases with its characteristic value picks wedge angleincreases, cutting thickness increases with the increase of non-linear change, bluntteeth cutting coal and rock load larger than ordinary tooth and eigenvalueshexagonal-type teeth. Established load spectrum reconstruction mathematical model,got eigenvalues of the reconstruction load spectrum by using the Modified Discreteregularization and wavelet regularized solution calculation method coincide with thatof the experiment, but the former is close to the experimental value, error is within10%, the correlation coefficient r=0.9767, and its cutting energy is concentrated in1~4Hz. In the regularization parameter selection optimization, L-curve criterion isbetter than GCV method, so we can get the needed optimal regularization parameterWhen cutter breaking coal load spectrum is reconstructed..