A Method for Improving Machining Accuracy of Supporting Device for Thin-walled Parts

Abstract

The invention relates to the field of advanced manufacturing, in particular to a supporting device and a machining precision improving method for a thin-wall part. Matching buckles are matched with ring ways and slide ways so that supporting postures of different space shapes can be completed on a supporting table, a thin-wall part can be fixedly supported effectively, and more precise modal parameters can be obtained through clamping conducted through the supporting device. Under the circumstance that boundary limiting conditions such as the cut-in angle, the cut-out angle and the cutting thickness are considered sufficiently, a numerical integration method is used for iterative operation, a vibration displacement simulating diagram is obtained by subdividing the rotating speed of a main shaft and the axial cutting depth within a certain range, a milling stability diagram is finally obtained, simulation precision is improved, and machining quality is improved.

Description

technical field [0001] The invention relates to the field of advanced manufacturing, in particular to a method for improving the machining accuracy of a support device for thin-walled parts. Background technique [0002] In the field of mechanical manufacturing, the most direct way to evaluate the machining results is the final surface quality of the workpiece, and the regenerative chatter during the machining process has the greatest impact on the final machining results (especially for thin-walled parts, which are usually processed by milling). The formation theory and suppression method of vibration are basically mature. At present, when performing theoretical calculations, it is mostly assumed that the X direction does not affect the Y direction (radial depth of cut), that is, the two are independent. In the actual processing process, there is often coupling between the two directions. phenomenon, which will affect the final simulation prediction results; and in the proc...

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Problems solved by technology

[0002] In the field of mechanical manufacturing, the most direct way to evaluate the machining results is the final surface quality of the workpiece, and the regenerative chatter during the machining process has the greatest impact on the final machining results (especially for thin-walled parts, which are usually processed by milling). The formation theory and suppression method of vibration are basically mature. At present, when performing theoretical calculations, it is mostly assumed that the X direction does not affect the Y direction (radial depth of cut), that is, the two are independent. In the actual processing process, there is often coupling between the two directions. phenomenon, which will affect the final simulation prediction results; and in the process of up-milling, when the radial immersion is determined, it is often considered that the cut-in angle and the cut-out angle are fixed in theoretical calculations, which will affect the subsequent The fitting results will affect the selection of parameters in the actual machining process; in addition, when the frequency response function is used to obtain the cutting stability diagram of depth of cut and spindle speed, the obtained image fluctuates greatly, which is not conducive to the selection of parameters. Influence on machining accuracy

[0003] Chinese patents disclose "a fast determination method for high-speed milling stability" (notification number: CN101905340A), "a milling finishing method based on the dynamic stiffness of impeller blades" (notification number: CN102554326A), "a milling process Parameter Optimization Method" (Notice No.: CN104076733A), the above algorithm does not use the corresponding support structure in the stability analysis, which simplifies the calculation conditions, and does not consider the change of the boundary limit conditions caused by vibration, so that the error is transmitted during the simulation process, This has a great impact on the subsequent simulation results, and the obtained parameters of the stability map are not optimal parameters, which in turn affects the further improvement of processing efficiency

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