Efficient milling parameter optimization method for rough machining of difficult-to-machine material fused with tool wear monitoring

Abstract

The invention discloses an efficient milling parameter optimization method for rough machining of a difficult-to-machine material fused with tool wear monitoring. The method comprises the steps that firstly, an optimization problem characterization model with the machining efficiency as a target and the spindle rotating speed, the radial cutting width and the axial cutting depth as optimization variables is established, and multiple constraint conditions such as a basic parameter feasible region, stability, spindle torque and power are considered; secondly, the problem of tool abrasion caused by the difficult-to-machine material is considered, the quantitative relation between the three-phase current of the main shaft and the milling force is established, and real-time estimation of the tangential specific shear force coefficient is achieved; furthermore, a numerical solution method based on random vector search is provided, an optimization process integrating offline optimization and real-time monitoring is given, and optimal processing parameters are obtained. According to the parameter optimization method provided by the invention, the rough machining efficiency of the difficult-to-machine material can be greatly improved, and efficient flutter-free milling machining is realized.

Description

technical field [0001] The invention belongs to the technical field of numerical control machining, and in particular relates to a parameter optimization method for rough machining and high-efficiency milling of difficult-to-machine materials combined with tool wear monitoring. Background technique [0002] Efficient machining is the eternal goal of CNC machining. It is known that increasing processing parameters is the most direct and effective way to improve processing efficiency, but how to determine a reasonable parameter increment has been perplexing researchers and craftsmen. People are always thinking about such a question, when formulating a specific processing technology, where is the upper limit of the processing parameters. If the processing parameters are increased blindly, it will cause severe cutting vibration, even chatter and tool wear damage, and the cutting load will exceed the cutting capacity of the spindle, making the processing impossible. Therefore, ...

AI Technical Summary

Problems solved by technology

In order to avoid that single information cannot accurately judge the state of the tool, some scholars use the method of multi-source information fusion to monitor the state of the tool.

[0006] The above technical status shows that the existing parameter optimization methods have several deficiencies: (1) Some studies lack of comprehensive consideration of the physical properties of the process system, such as cutting force load, milling stability, cutting torque, etc., when optimizing parameters; (2) ) Tool wear is a prominent problem in the machining of difficult-to-machine materials. Along with the process of tool wear, model parameters need to be updated in time, but existing research rarely considers this; (3) The existing parameter optimization methods lack the applicability of the method After further consideration, the approximate optimization method is difficult to apply to the complex and changing actual processing conditions

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