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Electric spark process discharging state forecasting method

A discharge state and prediction method technology, which is applied in the direction of electric processing equipment, metal processing equipment, metal processing machinery parts, etc., can solve the problems of increased arc and short circuit state, low processing efficiency, poor processing quality, etc.

Inactive Publication Date: 2008-03-19
DALIAN UNIV OF TECH
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Problems solved by technology

[0012] The technical problem to be solved by the present invention is to solve the technical problem that the nonlinear, non-stationary and internally coupled EDM discharge signal cannot be predicted in real time, accurately and efficiently. In the actual EDM process, various factors such as increase, micro-energy high-frequency discharge in micro-hole EDM, introduction of complex interference in micro-hole EDM, and gradual increase of depth-to-diameter ratio in deep-hole EDM often appear in the actual EDM process. In order to solve the outstanding problems of unstable control system and machining process, low machining efficiency and poor machining quality, a method for predicting the discharge state of electric discharge machining is provided, which is characterized by a method for predicting the discharge state of electric discharge machining based on local wave decomposition. Various types of EDM, including real-time and accurate prediction of the discharge state of conventional, micro, micro-hole and deep-hole EDM processes, to ensure the stability of the control system and processing process, and improve processing efficiency and processing quality

Method used

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  • Electric spark process discharging state forecasting method
  • Electric spark process discharging state forecasting method
  • Electric spark process discharging state forecasting method

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Embodiment approach 1

[0051] Embodiment 1 Take the [1 350] points of each IMF component for AR model identification; based on the selected model order, the prediction error power (estimated error power) is minimized, and the smallest possible model order is selected to reduce parameter estimation. The principle of calculation amount calculates the optimal order of each IMF component as 4, 9, 11, 23, 6, and 6 in turn; the Berg recursive algorithm is used to estimate the parameters of the AR model for each IMF component, and based on each IMF component [1 AR model of 350] points; use the AR model established for each IMF component to linearly predict the future [351 389] points, and obtain the predicted value of each IMF component; predict the IMF component according to the completeness of local wave decomposition Sequence reconstruction is used to obtain the discharge state prediction output based on local wave decomposition; and the fit discriminant criterion and discriminant method are used to calc...

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Abstract

A method of predicting the discharge condition of an electric spark processing belongs to the field of the electric sparking processing and relates to the method of predicting the discharge condition of the electric spark processing. The method of predicting the discharge condition of the electric spark processing first adopts the progressive mapping test method of the discharge condition to treat a real-time interval discharging signal that is collected in the processing; after treated, discharging condition succession is used as an system input, the unit of which is cyclical analysis; the mathematical model and the prediction method of the discharging condition based on local-wave resolution are used to do calculation, and the obtained prediction discharging condition succession of the electric spark is used as system output; then the normative approach method of output domain is adopted to treat the prediction discharging condition succession which is in the output domain of the actual discharging condition succession; and finally, fit criterion and descriminant technique are used for calculating the prediction precision of the discharging condition of the electric spark. The prediction method provided by the invention has wide application, high prediction precision and good freshness, which also has not hysteretic property.

Description

technical field [0001] The invention belongs to the field of electric discharge machining and relates to a method for predicting the discharge state of electric discharge machining. Background technique [0002] The discharge state of EDM mainly includes five categories: no-load open circuit, spark discharge, transitional arc, stable arc and short circuit. The discharge state is the main basis for accurate control of the EDM process, which directly determines the quality of processing, processing efficiency and electrode loss and other process indicators. [0003] For the conventional EDM process with a good discharge state, because the discharge state changes slowly and steadily, as long as the current discharge state is obtained by selecting a suitable discharge state detection method, the discharge state can be actively controlled before the discharge state deteriorates, so as to maintain the stability of the discharge machining, The purpose of improving processing effic...

Claims

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Application Information

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IPC IPC(8): B23H1/02B23H7/16B23Q17/09
Inventor 贾振元高升晖王福吉刘巍郑新毅张永发
Owner DALIAN UNIV OF TECH
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