Tool life prediction system based on energy

A technology for tool life and prediction system, applied in the direction of manufacturing tools, measuring/indicating equipment, metal processing machinery parts, etc. The effect of factor reduction, online monitoring is easy to achieve, and universal

Active Publication Date: 2014-08-27
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The technology involved in this paper mainly has the following defects and deficiencies: (1) the establishment of the model requires a large amount of sample data, which is sometimes difficult to achieve in actual engineering; (2) the model involves too many influencing factors, and when the cutting conditions change , the prediction results are sometimes almost

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  • Tool life prediction system based on energy

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[0028] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be pointed out that for those of ordinary skill in the art, a number of modifications and improvements can be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0029] Such as figure 1 As shown, this embodiment provides an energy-based tool life prediction system, including: a current and voltage measurement system 1, a tool management system 2, a tool database 4, a two-dimensional code printing system 5 and a two-dimensional code scanning device 6, in which: The machine tools in the factory are numbered in sequence from 0001 to 9999. The current and voltage measurement system 1 measures the current and voltage signals of the mac...

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Abstract

The invention provides a tool life prediction system based on energy. The system comprises a current and voltage measuring system, a tool management system, a tool database, a two-dimensional code printing system and a two-dimensional code scanning device. Currents and voltages are monitored in real time, after filtering and A/D conversion, the actual power of a machine tool is acquired, the monitored actual power of the machine tool is subtracted from the no-load power of the machine tool for integration so that consumed energy in the tool machining process can be acquired, and the tool management system is used for subtracting the residual life, acquired by inquiring the tool database, of a tool from the consumed energy in the tool machining process so that new residual life energy of the tool can be acquired and displayed on a display screen. Current signals and voltage signals are monitored in real time in the tool cutting process, the real-time change of the power in the tool cutting process is acquired, then the consumed energy of the tool is acquired, and then the residual life of the tool is predicted. Prediction accuracy of the tool life is improved, the tool utilization rate is increased, and production cost is reduced.

Description

Technical field [0001] The present invention relates to the field of machining tools, in particular to an energy-based tool life prediction system. Background technique [0002] With the rapid development of CNC manufacturing technology in the manufacturing industry, the use of CNC machine tools has become more common, and automated production has been further developed. As one of the important links in the manufacturing system, the tool is also the link with the weakest life. The life expectancy is in the modern production process. It becomes more and more important. With the aid of computer-aided tool management, it is very important for the reasonable configuration, effective use, improvement of production efficiency and cost reduction of the tools. The accuracy of tool life prediction affects productivity, production costs and processing quality. Using tool energy consumption to predict tool life is an effective method for rational use of tools. [0003] After searching the ...

Claims

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Application Information

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IPC IPC(8): B23Q17/09
CPCB23Q17/0995
Inventor 胡小锋闫杉杨红光王财先
Owner SHANGHAI JIAO TONG UNIV
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