Study Of Pixel Design And Laser Detection Technology For Screw Rotor Of Twin-Screw Compressor

In the field of compressors,twin-screw compressors have the advantages of reliable operation and high efficiency,excellent dynamic balance characteristics,low noise and vibration,easy operation and maintenance,etc.,and have been widely used in high-tech fields such as strategic emerging industries,aerospace,and defense military technology.As a technology-intensive industry,complex production processes and high standards of processing precision make screw compressor products and technology update more difficult.At present,there is still a large gap between our country's screw compressors and international advanced products.The screw rotor is the core component of the compressor,and its manufacturing and assembly accuracy is a major factor in determining compressor performance.Based on this background,the pixel design method and laser detection technology for the screw rotor of the twin-screw compressor are studied in depth.The main research contents and achievements are as follows:1.A meshing tracking method(MPT)for calculating and arranging the gap clearance of the twin-screw rotor is proposed.According to the discrete point coordinates and thermal expansion curve of the profile of the female and male rotor,the MPT is used to obtain the meshing clearance of the female and male rotor,and the clearance arrangement is designed according to the corresponding meshing position requirement to ensure the uniform variation of the clearance of the contact line and avoid the contact of non-circular area of the female and male rotor caused by the thermo-mechanical coupling.2.A pixel solving method for generating a profile of grinding wheel for the forming grinding of the screw rotor is proposed.The method combines the principle and the theory of graphics,and uses the boundary tracking method to extract the boundary points of the enveloping surface of the screw rotor and the forming grinding wheel,which can avoid the curvature effect of the tooth profile and obtain accurate data of grinding wheel profile.This method also can avoid the complicated modeling in the traditional contact line calculation of the conjugate surface of the meshing motion,and the solving problem of the nonlinear equation and so on.3.A error compensation method based on RBF neural network for the spatial position of laser detection of the complex surface is proposed.By studying the influencing factors of the measurement accuracy of the laser displacement sensor,the spatial position of laser detection of the screw rotor is defined by four parameters:measuring distance h,inclination angle ?,rotation angle ? and swing angle ?.The corresponding experimental platform is constructed to obtain the measurement accuracy of each parameter.The error compensation model of the parameters of the laser's spatial position is established based on the RBF neural network for the error compensation of the laser detection of the screw rotor.4.A non-contact laser detection system for the screw rotor is established.Based on the existing hardware system,the laser displacement sensor is combined with the four-coordinate measuring center to develop a special software system to realize the functions of measurement control,track planning,data analysis and so on.In this system,a new method for the spatial calibration of the laser beam and the detection system center calibration based on error compensation model is proposed.Finally,for the screw rotor forming and testing process,a trajectory planning and error compensation method for the laser detection of the profile of the screw rotor under multi-factor constraints is proposed,which realizes the non-contact optical detection of the profile,helix and pitch of the screw rotor.