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Cutting force prediction method based on features

A prediction method and cutting force technology, applied in instruments, computer control, simulators, etc., can solve the problems of low accuracy and low efficiency, and achieve the effect of saving process modification time

Inactive Publication Date: 2013-12-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the existing cutting force prediction method has low accuracy or low efficiency when predicting large aircraft grooved structural parts, and to invent a feature-based cutting force prediction that can quickly and accurately predict cutting force method

Method used

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  • Cutting force prediction method based on features
  • Cutting force prediction method based on features
  • Cutting force prediction method based on features

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the embodiments and the accompanying drawings.

[0033] Such as Figure 1-5 shown.

[0034] This embodiment takes the groove feature of an aircraft structural part as an example, and is described in detail below in conjunction with the accompanying drawings.

[0035] figure 1 It is a flow chart of the feature-based cutting force prediction method of the present invention. As shown in the figure, the following steps are included:

[0036] 1. Input the part model into the CAM software system to preprocess the part. The input of the feature information of the part can be to read the feature information list of the part, or to obtain the drive geometry related to the inner shape by manually clicking the feature of the part. The driving geometry extracts the internal tool path to generate the driving line.

[0037] 2. To make a process decision, the obtained tool information includes the tool mate...

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Abstract

A cutting force prediction method based on features is characterized in that feature recognition is carried out on a part based on a CAD three-dimensional model, and drive geometry recognizing the features is extracted according to a feature recognition result and is dispersed into some points. A primary process decision is carried out to obtain rotating speed, feeding, cutting depth, cutting width and other process parameters, a shearing force action coefficient and a cutting edge force coefficient are measured through experiments, a cut-in angle and a cut-out angle are calculated according to cutting parameters, and finally cutting force is calculated. According to cutting force prediction based on the features, the cutting force can be calculated according to the cutting parameter with different features in the part process decision process, and warning and process modification are carried out on the relatively large feature of the cutting force. Before post-processing, the cutting force can be predicted earlier. The predicted cutting force aims at each feature, that is, the modification is for a single feature, the processing efficiency of each feature of a plane structural component can be maximized, overall efficiency is accordingly maximized, and the number of simulation times is reduced.

Description

technical field [0001] The invention relates to a numerical control machining technology, in particular to a method for predicting cutting force, in particular to a method for predicting cutting force based on the feature-based internal shape of grooves of aircraft structural parts. Background technique [0002] Aircraft structural parts have the characteristics of large size, high processing precision and complex structure. In the process of machining aircraft structural parts, local features will be deformed due to insufficient cutting parameters due to excessive local cutting force, and eventually the parts will be scrapped. Therefore, proper cutting force prediction is required before the machining of aircraft structural parts. At present, the cutting force prediction methods mainly include cutting force prediction based on neural network, cutting force prediction based on least square method, cutting force prediction based on analytical method and finite element analys...

Claims

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Application Information

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IPC IPC(8): G05B19/401
Inventor 刘长青李迎光周鑫宋利康
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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