From analyzing the constitution of thedust in coal tunneling face, the paper draws a conclusion that cutting dust is the basiccause effecting the dust in coal tunneling face.

By investigating and analyzing, quantitative relation between cutting dust on mechanized tunneling faces and affecting factors is established in the paper, through constructing a model of artificial neural network, dust density on the face is forecasted, which creates favorable conditions for making better roadheader design, reducing cutting dust to a minimum, improving the face env.

Spectral analysis of cutting power for longitudinal excavators;

The deformation localization theory of cutting of coal and rock;

Excavator loading simulation for hard-rock cutting;

Regular pattern curve of cutting process is given, which will be important for increasing sharp pick cutting efficiency and increasing the benefit of excavating machines.

Research on infrared hot image in deformation and destruction course under pick cutting;

Measures and Effects of Decreasing Dust at Coal Blending Post;

Numerical simulation of the dust movement rule in fully-mechanized coal faces;

Effect of Coat on Collecting Plates to Cohesive Force between Dust Particles and Collecting Plates for Electrostatic Precipitator;