The Study on Characterization of Machined Surface Micro-Topography in High Speed Milling of SiC_p /Al Composites
|School||Harbin Institute of Technology|
|Course||Mechanical Manufacturing and Automation|
|Keywords||Particle reinforced aluminum matrix composites Morphology Power spectral density 3D surface roughness|
With the rapid development of the field of aviation and weaponry , put a higher demand for high-performance materials . Particle reinforced aluminum matrix composites with high specific stiffness than the characteristics of strength , more and more widely , however , its cutting performance difference between the surface quality is difficult to control , limit the practical application of the material . To carry out this kind of material machined surface quality evaluation study , to explore suitable for this kind of material machined surface morphology characterization method , the machined surface quality control is of great significance . Firstly, the design and the completion of the high - speed milling experiments of particle reinforced aluminum matrix composites , non-contact measurement of surface profile , provide the raw data for subsequent surface analysis . The least squares polynomial fitting method with Gaussian filtering method theory Matlab software programming , and application of the two algorithms . Least squares polynomial fitting , and Gaussian filtering process on the raw data , by analysis and comparison, to determine the processing method and data processing . Analysis laid the foundation for the three-dimensional surface roughness parameters . On this basis , the theory of the power spectral density and the the software Matlab completion of the power spectral density of the programming work and the machined surface detection data obtained power spectral density characterization . By the power spectral density analysis , the study of the influence of cutting parameters of power spectral density , and the combined processing related phenomena . For lack of a two-dimensional surface roughness characterization methods , particle reinforced characterization study of high-speed machining of aluminum matrix composites surface morphology of the three-dimensional surface roughness parameters , application Matlab programming software to complete the three-dimensional surface roughness parameters and the machined surface of a three-dimensional characterization . The results showed that the spindle speed affect the quality of the machined surface as the spindle speed increases , improved surface quality ; feed amount of surface quality , followed by ; cutting depth with minimal impact on the surface quality .