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Real-time adaptive optimization method of numerical control processing parameters

An optimization method and technology of processing parameters, applied in the direction of digital control, electrical program control, etc., can solve the problems of machine tool performance limitations, optimal processing quality, high processing efficiency, etc., to reduce production costs, improve processing quality and processing efficiency, reduce Effects of tool and machine tool damage

Inactive Publication Date: 2015-03-11
NORTHWESTERN POLYTECHNICAL UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In actual production, there are the following problems in cutting with the cutting parameters set by programming: First, the cutting parameters set by programming are generally selected according to experience or trial cutting, but the cutting parameters selected according to experience are usually not Optimized, does not guarantee the best processing quality and highest processing efficiency
Second, the actual cutting conditions are constantly changing, and the cutting parameters should be changed in time as the actual cutting conditions change. It is not suitable to use constant cutting parameters for processing
Although the dynamometer has high measurement accuracy, it is not suitable for application in actual processing and production due to its high price, inconvenient installation, and limitations of being unsuitable for wet cutting.
[0005] For the actual NC machining process, there is still a lack of robust control algorithms that can handle complex, nonlinear, and large time-varying cutting processes.
In the invention patent CN101025620A, a hierarchical fuzzy hierarchical control method is adopted, which can clearly distinguish the matching relationship between the spindle speed adjustment and the feed speed adjustment. However, in the actual processing process, the relationship between the spindle speed and the feed speed is determined by The amount of cutting per tooth corresponding to the processing environment is determined, and it is also limited by the performance of the machine tool

Method used

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  • Real-time adaptive optimization method of numerical control processing parameters
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  • Real-time adaptive optimization method of numerical control processing parameters

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Embodiment Construction

[0027] This embodiment is a real-time self-adaptive optimization method for CNC machining parameters.

[0028] see Figure 1 to Figure 4 , using the real-time adaptive optimization method of CNC machining parameters to carry out cutting processing experiments on a certain material and tool, the specific steps are:

[0029] 1. Determine the part material and tool type, and combine the part material and tool type, target cutting force F d , the feed per tooth f z0 Input into the CNC system, install the Hall sensor on the input current cable of the spindle motor, and measure the three-phase input current (I) of the spindle motor of the CNC machine tool respectively. U , I V , I W ), and the corresponding actual cutting force F was measured by a dynamometer. C ; The signal operation processing module follows the formula: The alternating current (I U , I V , I W ) into the equivalent DC current I RMS .

[0030] 2. Build Reflect I RMS and F C Mathematical model of the ...

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Abstract

The invention discloses a real-time adaptive optimization method of numerical control processing parameters. The method comprises the following steps: performing real-time online monitoring on a cutting force for numerical control processing of parts, and performing real-time optimization and adaptive adjustment control on cutting parameters based on the cutting force; taking a main shaft current signal as a cutting force representation signal, wherein the signal acquisition cannot influence a processing process; calculating a real-time cutting force through the main shaft current signal acquired in real time, optimizing according to the cutting force to obtain proper cutting parameters, and adjusting and controlling the feeding speed and the main shaft speed through a fuzzy controller. According to the method, the processing quality of the parts can be effectively improved, the processing efficiency of the parts is improved, the damage to cutters and a machine tool is reduced, and the production cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of numerical control machining, and in particular relates to a real-time self-adaptive optimization method of numerical control machining parameters. Background technique [0002] Adaptive control of CNC machining process is used to maximize the machining efficiency on the premise of ensuring the machining quality of the parts. The CNC machining process performs automatic cutting based on the cutting parameters set by programming, that is, the spindle speed and feed rate. [0003] In actual production, the following problems exist in cutting processing with the cutting parameters set by programming: First, the cutting parameters set by programming are generally selected based on experience or trial cutting, but the cutting parameters selected based on experience are usually not Optimization does not guarantee the best machining quality and highest machining efficiency. Second, the actual cutting conditions...

Claims

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Application Information

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IPC IPC(8): G05B19/18
CPCG05B19/18
Inventor 田锡天寇萌
Owner NORTHWESTERN POLYTECHNICAL UNIV
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