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Flake-shaped Fe–Si alloy particles with high aspect ratios were fabricated by ball milling commercially available Fe–Si powder, aiming to fabricate high-performance microwave absorbing fillers for coatings applied in 1–4GHz range. To compare with spherical particles, higher permittivity and permeability was observed by using flaky particles as fillers. High aspect ratios contributed to an enhanced...
Recognition of the status of ball mill load (ML) is very important. In practice, operators keep the ML at optimizing range using experience, which always lead to the mill running in the status of lower-load or over-load. A novel ML recognition approach combined with fast Fourier transform (FFT), kernel principal component analysis (KPCA) and K nearest neighbor (KNN) based shell vibration signal is...
Parameters of ball mill load (ML) affects production capacity and energy consumption of the grinding process, which have stronger correlation with shell vibration spectrum. A novel spectral features extraction and selection approach combined with empirical mode decomposition(EMD), power spectral density(PSD), kernel principal component analysis(KPCA), genetic algorithms(GA) and partial least square(PLS)...
Accurate on-line measurement of ball mill load (ML) affects production capacity and energy efficiency of the grinding process. An on-line soft sensor method based on recursive principal component analysis (RPCA) and on-line least square support vector regression (LSSVR) was proposed in this paper. At first, spectral principal components (PCs) at low, medium and high frequency bands of the vibration...
The load of wet ball mill is a key parameter for grinding process, which affects the productivity, quality and energy consumption. A new soft sensor approach based on the mill shell vibration signal is proposed in this paper. As the frequency domain signal contains more evidently information than time domain, the power spectral density (PSD) of the vibration signal was obtained via fast Fourier transform...
Load of the ball mill affects the productivity, quality and energy consumption of the grinding process. But sensors are not available for the direct measurement of the key parameters for mill load (ML). A new soft sensor approach based on the shell vibration signals to measure the operating parameters is proposed in this paper. Vibration signal is first transformed into power spectral density (PSD)...
Reliable measurement of the mill load is one of key factors to improve mill productivity, production quality and decrease energy consumption for the grinding process. A multi-source data fusion soft-sensor method is proposed to estimate the operating parameters which present the mill load. Fast Fourier transform (FFT) is used to estimate the power spectral density (PSD) of the vibration signals from...
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