Tool life prediction system based on energy

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 ...

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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 unusable; (3) During the cutting process, some influencing factors will change, and it is difficult to measure and build a model in real time; (4) When the cutting conditions change, the tool life will inevitably change. The processing time, the length of the workpiece and other methods to measure the life, it is difficult to normalize under different conditions

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