CN110814454A - Electric spark state monitoring system based on prediction pulse - Google Patents
Electric spark state monitoring system based on prediction pulse Download PDFInfo
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- CN110814454A CN110814454A CN201911139160.3A CN201911139160A CN110814454A CN 110814454 A CN110814454 A CN 110814454A CN 201911139160 A CN201911139160 A CN 201911139160A CN 110814454 A CN110814454 A CN 110814454A
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- electric spark
- pulse
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- prediction
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23H—WORKING OF METAL BY THE ACTION OF A HIGH CONCENTRATION OF ELECTRIC CURRENT ON A WORKPIECE USING AN ELECTRODE WHICH TAKES THE PLACE OF A TOOL; SUCH WORKING COMBINED WITH OTHER FORMS OF WORKING OF METAL
- B23H7/00—Processes or apparatus applicable to both electrical discharge machining and electrochemical machining
- B23H7/14—Electric circuits specially adapted therefor, e.g. power supply
- B23H7/16—Electric circuits specially adapted therefor, e.g. power supply for preventing short circuits or other abnormal discharges by altering machining parameters using adaptive control
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- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Electrical Discharge Machining, Electrochemical Machining, And Combined Machining (AREA)
Abstract
The invention discloses an electric spark state monitoring system based on a prediction pulse, which comprises: the data processing and control system is used for processing the monitoring data and sending out a control command; the prediction pulse loop module is used for detecting the state of the prediction pulse and further predicting the discharge state of the next pulse discharge; the electric spark processing loop module is used for carrying out electric spark processing; and the tool electrode module is used for processing the workpiece to be processed. The invention belongs to the field of prior detection, a prediction pulse is inserted before a discharge pulse, and the discharge state of the next pulse discharge is predicted by detecting the state of the prediction pulse, so that a corresponding control strategy is adopted in advance, abnormal discharge is avoided, the machining precision is improved by more than 10%, and the machining efficiency is further improved by more than 5%.
Description
Technical Field
The invention relates to the technical field of electric spark machining, in particular to an electric spark state monitoring system based on a prediction pulse.
Background
The existing electric spark machining has some defects, and particularly has the problems that the preparation cost of an electrode with a complex shape is high, the period is long, the electrode is lost in the machining process, and the electrode is difficult to reuse. Although various efficient electrode manufacturing methods such as high-speed machining, die pressing, electroforming, powder metallurgy, rapid prototyping and the like are continuously updated with the development of technology, for manufacturing an electrode for electric discharge machining with a large area and a complex shape, the design and machining cycle and cost still account for about half of that of a mold or a product, which seriously restricts the further development of electric discharge machining. Therefore, the method reduces the tool electrode loss in the electric spark machining process, enables the tool electrode loss to be repeatedly used, is one of the hot spots of the current electric spark machining research, and is one of the key technologies to be solved urgently in the electric spark industry. In order to solve the problem of electrode loss, the current research aiming at the electrode loss of electric spark machining mainly focuses on three aspects of a tool electrode, a working medium and servo control.
The existing electric spark detection technology is basically post detection, namely after abnormal discharge occurs, whether the abnormal discharge phenomenon occurs is judged by detecting current, voltage or other electrical parameters between a tool electrode and a workpiece electrode, and then a corresponding control strategy is adopted.
Disclosure of Invention
In order to overcome the above problems, the present invention provides a spark status monitoring system based on a prediction pulse.
The technical scheme of the invention is to provide an electric spark state monitoring system based on a prediction pulse, which is characterized by comprising the following components:
the data processing and control system is used for processing the monitoring data and sending out a control command;
the prediction pulse loop module is used for detecting the state of the prediction pulse and further predicting the discharge state of the next pulse discharge;
the electric spark processing loop module is used for carrying out electric spark processing;
the tool electrode module is used for processing a workpiece to be processed;
the prediction pulse loop module and the data processing and control system are connected in parallel through a current detection device and a signal generation and power amplification circuit, the data processing and control system and the electric spark machining loop module are connected in series through the signal generation and power amplification circuit, and the tool electrode module is connected to the electric spark machining loop module and the prediction pulse loop module and acts on a workpiece.
Further, the prediction pulse loop module comprises a battery pack A.
Further, the electric spark machining loop module comprises a battery pack B.
Furthermore, a control switch A is arranged between the prediction pulse loop module and the data processing and control system.
Furthermore, a control switch B is arranged between the electric spark processing loop module and the data processing and control system.
The invention has the beneficial effects that: the electric spark state monitoring system based on the prediction pulse is characterized in that a prediction pulse is inserted before a discharge pulse, and the discharge state of the next pulse discharge is predicted by detecting the state of the prediction pulse, so that a corresponding control strategy is adopted in advance, abnormal discharge is avoided, the machining precision is improved by more than 10%, and the machining efficiency is further improved by more than 5%.
Drawings
FIG. 1 is a schematic structural view of the present invention;
reference numerals: the system comprises a data processing and control system 1, a prediction pulse loop module 2, an electric spark machining loop module 3, a tool electrode module 4, a current detection device 5, a signal generation and power amplification circuit 6, a battery pack A7, a battery pack B8, a control switch A9 and a control switch B10.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1, the electric spark state monitoring system based on the prediction pulse of the present invention is characterized in that it includes:
the data processing and control system 1 is used for processing monitoring data and sending out a control command;
the prediction pulse loop module 2 is used for detecting the state of the prediction pulse and further predicting the discharge state of the next pulse discharge;
the electric spark processing loop module 3 is used for carrying out electric spark processing;
the tool electrode module 4 is used for processing a workpiece to be processed;
the prediction pulse loop module 2 and the data processing and control system 1 are connected in parallel through a current detection device 5 and a signal generation and power amplification circuit 6, the data processing and control system 1 and the electric spark machining loop module 3 are connected in series through the signal generation and power amplification circuit 6, and the tool electrode module 4 is connected to the electric spark machining loop module 3 and the prediction pulse loop module 2 and acts on a workpiece.
In a preferred embodiment of the present invention, the prediction pulse loop module 2 comprises a battery pack a 7.
In a preferred embodiment of the present invention, the electric discharge machining circuit module 3 includes a battery pack B8.
In a preferred embodiment of the present invention, a control switch a9 is disposed between the prediction pulse loop module 2 and the data processing and control system 1.
In a preferred embodiment of the present invention, a control switch B10 is disposed between the electric discharge machining circuit module 3 and the data processing and control system 1.
The electric spark state monitoring system based on the prediction pulse is characterized in that a prediction pulse is inserted before a discharge pulse, and the discharge state of the next pulse discharge is predicted by detecting the state of the prediction pulse, so that a corresponding control strategy is adopted in advance, abnormal discharge is avoided, the machining precision is improved by more than 10%, and the machining efficiency is further improved by more than 5%.
The above embodiment is only one embodiment of the present invention, and the description thereof is specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (5)
1. An electric spark condition monitoring system based on a predicted pulse, comprising:
the data processing and control system is used for processing the monitoring data and sending out a control command;
the prediction pulse loop module is used for detecting the state of the prediction pulse and further predicting the discharge state of the next pulse discharge;
the electric spark processing loop module is used for carrying out electric spark processing;
the tool electrode module is used for processing a workpiece to be processed;
the prediction pulse loop module and the data processing and control system are connected in parallel through a current detection device and a signal generation and power amplification circuit, the data processing and control system and the electric spark machining loop module are connected in series through the signal generation and power amplification circuit, and the tool electrode module is connected to the electric spark machining loop module and the prediction pulse loop module and acts on a workpiece.
2. The system for monitoring the electric spark state based on the prediction pulse as claimed in claim 1, wherein: the prediction pulse loop module comprises a battery pack A.
3. The system for monitoring the electric spark state based on the prediction pulse as claimed in claim 1, wherein: the electric spark processing loop module comprises a battery pack B.
4. A system for monitoring the state of an electric spark based on a predicted pulse according to claim 1 or 2, characterized in that: and a control switch A is arranged between the prediction pulse loop module and the data processing and control system.
5. The system for monitoring the electric spark state based on the prediction pulse as claimed in claim 1, wherein: and a control switch B is arranged between the electric spark machining loop module and the data processing and control system.
Priority Applications (1)
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CN201911139160.3A CN110814454A (en) | 2019-11-20 | 2019-11-20 | Electric spark state monitoring system based on prediction pulse |
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CN201911139160.3A CN110814454A (en) | 2019-11-20 | 2019-11-20 | Electric spark state monitoring system based on prediction pulse |
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CN110814454A true CN110814454A (en) | 2020-02-21 |
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CN201911139160.3A Pending CN110814454A (en) | 2019-11-20 | 2019-11-20 | Electric spark state monitoring system based on prediction pulse |
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2019
- 2019-11-20 CN CN201911139160.3A patent/CN110814454A/en active Pending
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Application publication date: 20200221 |