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EN
The hydraulic support column of comprehensive mining equipment is the most important part, subjecting to corrosion, wear and collision. The scrapped columns are restored by laser cladding to replace plating process for enhancing service life. All that is required after laser cladding is subtractive machining to improve the surface quality of the laser cladded coatings. This work focused on the remanufacturing machining strategy for re-contouring the laser cladding restored columns. First, surface roughness model of the laser cladded coatings by turn-burnishing was presented based on the surface generation mechanism. Then the effect of turning-induced roughness level on the surface roughness improvements by subsequent burnishing is addressed. Results indicated that the reduction of surface roughness by burnishing showed positive correlation with the feed in initial turning with conventional inserts, while was negatively correlated with the feed in initial turning with wiper inserts. In addition, the initial turning-induced surface roughness level generated great influence on the residual stress improvement in subsequent burnishing. Based on the findings, proper remanufacturing machining strategies for re-contouring the laser cladding-restored hydraulic support columns were presented.
EN
In mechanical based machining processes, the surface topography is generated through series of hierarchical pattern. Plastic deformation as result of contact and kinematic of motion are two main factors which determine evolution of surface generation. To basically optimize the surface quality, accurate predictive model of surface generation and constraints are required. In the present work, analytical models of dimple formation and hierarchical surface generation in ultrasonic assisted ball burnishing process are proposed. Pile-up and sink-in as two phenomena of indentation during both of loading and unloading phases were taken into the developed models. Considering interaction of indentation profile and kinematic of motion, three-dimensional surface topography and surface roughness are also analytically predicted. A criterion for surface failure is defined to perform process without any erosion. Confirmation of results have been made by series of single trace and multi-traces burnishing experiments on AA6061-T6 and AISI 1045. The results of indention profile, surface topography, roughness and failure criterion which were derived from predictive models were completely consistent with confirmatory experiments.
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