CN110142471A - Insulative ceramic coatings-metal electrical discharge machining paradoxical discharge condition checkout gear and method - Google Patents
Insulative ceramic coatings-metal electrical discharge machining paradoxical discharge condition checkout gear and method Download PDFInfo
- Publication number
- CN110142471A CN110142471A CN201910590900.9A CN201910590900A CN110142471A CN 110142471 A CN110142471 A CN 110142471A CN 201910590900 A CN201910590900 A CN 201910590900A CN 110142471 A CN110142471 A CN 110142471A
- Authority
- CN
- China
- Prior art keywords
- pulse
- module
- current
- waveform
- paradoxical discharge
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
- B23H1/00—Electrical discharge machining, i.e. removing metal with a series of rapidly recurring electrical discharges between an electrode and a workpiece in the presence of a fluid dielectric
- B23H1/02—Electric circuits specially adapted therefor, e.g. power supply, control, preventing short circuits or other abnormal discharges
- B23H1/024—Detection of, and response to, abnormal gap conditions, e.g. short circuits
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Electrical Discharge Machining, Electrochemical Machining, And Combined Machining (AREA)
Abstract
The invention discloses a kind of insulative ceramic coatings-metal electrical discharge machining paradoxical discharge condition checkout gear and methods, the paradoxical discharge condition checkout gear includes voltage waveform sample circuit, current signal sample circuit and Statistic analysis module, in which: voltage waveform sample circuit is used to provide gap voltage sampled signal for Statistic analysis module;Current signal sample circuit is used to provide gap current sampled signal for Statistic analysis module;Statistic analysis module realizes the judgement of paradoxical discharge state by being counted, being analyzed to collected gap current, voltage signal.The present invention was counted and is distinguished by breakdown delay time to single pulse waveform and current waveform failing edge time, come differentiate short circuit pulse, it is non-shorting turn short circuit pulse, short circuit turn the paradoxical discharges state such as non-shorting pulse and electric arc, it realizes the detection of insulative ceramic coatings-metal electrical discharge machining paradoxical discharge state, improves insulative ceramic coatings-metal electrical discharge machining processing quality.
Description
Technical field
The invention belongs to spark erosion technique field, it is related to a kind of the different of insulative ceramic coatings-metal electrical discharge machining
Normal discharge condition detection apparatus and method.
Background technique
Insulative ceramic coatings-metallic multilayer structures material is widely used in engine art, as aero-engine high temperature closes
The workpiece surface sprayings such as golden turbo blade, casing have insulative ceramic coatings, to reduce the use temperature of high temperature alloy workpiece.Electrical fire
Flower processing is that workpiece material is removed using galvano-cautery phenomenon by the pulsed discharge between tool-electrode and workpiece, processed
Macroscopical active force is small in journey, and the difficult-to-machine materials such as insulating ceramics, high temperature alloy, titanium alloy can be processed.In edm process
There are the paradoxical discharges state such as electric arc, short circuit, paradoxical discharge reduces the utilization rate of electric energy and causes the finished surface of workpiece
The surface damages such as burn.The paradoxical discharge state in electrical discharge machining is eliminated, needs accurately to examine paradoxical discharge state
It surveys.However, electrical discharge machining is put since insulative ceramic coatings-metallic multilayer structures material quilting material has insulating properties
There are high-impedance states in electric gap, and high-impedance state and low resistive state are mutually mixed, the clearance discharge condition detection side of conductive material
Method cannot achieve the accurate detection of insulating materials discharge condition.Detection for insulating ceramic materials clearance discharge condition, Ha Er
Shore polytechnical university has carried out the detection of 2 threshold voltages, the method for comprehensive detection that current detecting and high-frequency detection combine and 4 threshold values electricity
The research of pressure detection method, but cannot achieve and low-resistance electricity cannot achieve to the clearance discharge condition detection method of insulating ceramic materials
The differentiation of arc and high resistant short circuit pulse, and cannot achieve that short circuit turns spark pulse and spark turns the differentiation of short circuit pulse, therefore also
Insulative ceramic coatings-metal paradoxical discharge state inspection need to be studied.
Summary of the invention
The present invention is in order to solve insulating ceramics metallic multilayer material electrical spark working working hour, and there are high resistant electric discharge shapes for discharging gap
State, provides a kind of insulating ceramics at the problem of causing current detection method not detect to paradoxical discharge state accurately
Coating-metal electrical discharge machining paradoxical discharge condition checkout gear and method realize the accurate detection of paradoxical discharge state.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of paradoxical discharge condition checkout gear of insulative ceramic coatings-metal electrical discharge machining, including voltage waveform sampling electricity
Road, current signal sample circuit and Statistic analysis module, in which:
The voltage waveform sample circuit is used to provide gap voltage sampled signal for Statistic analysis module, including wave chopping samples mould
Block, threshold value comparison module, photoelectric isolation module;
The wave chopping sampling module handles gap voltage, current waveform decompression, determines signal place by threshold value comparison module
Voltage range, output voltage threshold value comparison signal, then realized by photoelectric isolation module and be isolated with Statistic analysis module is anti-
Stop signal interference;
The current signal sample circuit is used to provide gap current sampled signal, including current sense for Statistic analysis module
Device, photoelectric isolation module;
The presence or absence of described current sensor detector gap current signal, output electric current measure signal pass through photoelectric isolation module reality
Now it is isolated with Statistic analysis module;
The Statistic analysis module realizes paradoxical discharge by being counted, being analyzed to collected gap current, voltage signal
The judgement of state, including single paradoxical discharge pulse recognize module, continuous abnormal discharge pulse judgment module;
The single paradoxical discharge pulse identification module is for judging whether single pulse is paradoxical discharge state;
For the continuous abnormal discharge pulse judgment module for judging whether paradoxical discharge pulse is continuous, severely subnormal is put in realization
The judgement of electrical phenomena;
The single paradoxical discharge pulse identification module includes waveform failing edge time statistical module and breakdown delay time statistics
Module;
The current waveform failing edge time statistical module is used to be carried out according to the pulse signal synchronous with discharging gap of input
The judgement in stage and pulsewidth stage between arteries and veins, the stage counts the electric current failing edge time between the arteries and veins of impulse waveform, is counting
Middle consideration detection delay, for judging short circuit, non-shorting turning short circuit pulse;
The breakdown delay time statistical module is used to carry out pulsewidth rank according to the pulse signal synchronous with discharging gap of input
The judgement of section counts breakdown delay time in the pulsewidth stage of impulse waveform, detection delay is considered in statistics, is used for
Judge electric arc, short circuit or non-shorting turns short circuit pulse.
A kind of side realizing insulative ceramic coatings-metal electrical discharge machining paradoxical discharge state-detection using above-mentioned apparatus
Method includes the following steps:
Step 1: acquiring the gap voltage synchronous with discharging gap, current pulse signal by gap waveform sampling circuit;
Step 2: using current waveform failing edge time statistical module counts single pulse waveform current waveform failing edge when
Between, and statistical result is compared with the time threshold that threshold value comparison module is arranged, to short circuit pulse, non-shorting turns short circuit pulse
Equal paradoxical discharges pulse is judged;
Step 3: being tied using the breakdown delay time of breakdown delay time statistical module counts single pulse waveform, and by statistics
Fruit is compared with the time threshold that threshold value comparison module is arranged, to the short-circuit arteries and veins of electric-arc discharge pulses, short circuit pulse or non-shorting turn
The paradoxical discharges states such as punching are judged;
Step 4: using paradoxical discharge pulse discrimination module, the single paradoxical discharge pulse that is obtained according to step 2 and step 3
Judging result carries out the judgement of continuous abnormal discharge pulse, output abnormality discharge signal.
Compared with the prior art, the present invention has the advantage that
The present invention was counted and is distinguished by breakdown delay time to single pulse waveform and current waveform failing edge time,
Come differentiate short circuit pulse, it is non-shorting turn short circuit pulse, short circuit turn the paradoxical discharges state such as non-shorting pulse and electric arc, realize insulation
The detection of ceramic coating-metal electrical discharge machining paradoxical discharge state improves insulative ceramic coatings-metal electrical discharge machining and adds
Working medium amount.
Detailed description of the invention
Fig. 1 is the hardware circuit diagram of insulative ceramic coatings-metal electrical discharge machining paradoxical discharge condition checkout gear.
Fig. 2 is the flow chart of insulative ceramic coatings-metal electrical discharge machining paradoxical discharge condition detection method.
Fig. 3 is that single paradoxical discharge pulse recognizes flow chart.
Fig. 4 is continuous abnormal discharge pulse judgment module flow chart.
Specific embodiment
Further description of the technical solution of the present invention with reference to the accompanying drawing, and however, it is not limited to this, all to this
Inventive technique scheme is modified or replaced equivalently, and without departing from the spirit and scope of the technical solution of the present invention, should all be covered
Within the protection scope of the present invention.
Specific embodiment 1: present embodiments provide for a kind of insulative ceramic coatings-metal electrical discharge machining exceptions
Discharge condition detection apparatus, as shown in Figure 1, the paradoxical discharge condition checkout gear includes voltage waveform sample circuit, electric current
Signal sample circuit and Statistic analysis module, in which:
The voltage waveform sample circuit is used to provide gap voltage sampled signal for Statistic analysis module, including wave chopping samples mould
Block, threshold value comparison module, photoelectric isolation module;
The wave chopping sampling module handles gap voltage, current waveform decompression, determines signal place by threshold value comparison module
Voltage range, output voltage threshold value comparison signal, then realized by photoelectric isolation module and be isolated with Statistic analysis module is anti-
Stop signal interference;
The current signal sample circuit is used to provide gap current sampled signal, including current sense for Statistic analysis module
Device, photoelectric isolation module;
The presence or absence of described current sensor detector gap current signal, output electric current measure signal pass through photoelectric isolation module reality
Now it is isolated with Statistic analysis module;
The Statistic analysis module realizes paradoxical discharge by being counted, being analyzed to collected gap current, voltage signal
The judgement of state, including single paradoxical discharge pulse recognize module, continuous abnormal discharge pulse judgment module;
The single paradoxical discharge pulse identification module is for judging whether single pulse is paradoxical discharge state;
For the continuous abnormal discharge pulse judgment module for judging whether paradoxical discharge pulse is continuous, severely subnormal is put in realization
The judgement of electrical phenomena;
The single paradoxical discharge pulse identification module includes waveform failing edge time statistical module and breakdown delay time statistics
Module;
The current waveform failing edge time statistical module is used to be carried out according to the pulse signal synchronous with discharging gap of input
The judgement in stage and pulsewidth stage between arteries and veins, the stage counts the electric current failing edge time between the arteries and veins of impulse waveform, is counting
Middle consideration detection delay, for judging short circuit, non-shorting turning short circuit pulse;
The breakdown delay time statistical module is used to carry out pulsewidth rank according to the pulse signal synchronous with discharging gap of input
The judgement of section counts breakdown delay time in the pulsewidth stage of impulse waveform, detection delay is considered in statistics, is used for
Judge electric arc, short circuit or non-shorting turns short circuit pulse.
Specific embodiment 2: present embodiments provide for a kind of insulative ceramic coatings-metal electrical discharge machinings to put extremely
Electricity condition detection method, as shown in Fig. 2, described method includes following steps: the breakdown delay time of statistics single pulse waveform
With the current waveform failing edge time, and statistical result is compared with the time threshold of setting, to insulative ceramic coatings-metal material
The paradoxical discharge pulse of material electrical discharge machining is judged, and carries out continuous abnormal according to single paradoxical discharge pulse judging result
The judgement of discharge pulse.
In present embodiment, the current waveform failing edge time counting method of the single pulse waveform is as follows: according to defeated
The pulse signal synchronous with discharging gap entered carries out the judgement in stage and pulsewidth stage between arteries and veins, the rank between the arteries and veins of impulse waveform
The Duan Jinhang electric current failing edge time counts, and detection delay is considered in statistics.
In present embodiment, it is used to judge that short circuit or short circuit to turn non-shorting arteries and veins to the statistics of current waveform failing edge time
Punching, to the statistics of breakdown delay time for judging electric arc, short circuit or non-shorting turning short circuit pulse.As shown in figure 3, specific judgement
Method are as follows: when the failing edge time of single current impulse waveform is more than set time threshold, then it is assumed that the pulse is short circuit
Or short circuit turns non-shorting pulse;When puncture delay time within set time threshold when, then it is assumed that the pulse be electric arc,
It is short-circuit or non-shorting turn short circuit pulse.As long as two kinds of Statistic analysis results carry out logic or, the i.e. pulse has a kind of statistical result
For paradoxical discharge pulse, then it is assumed that the pulse is paradoxical discharge pulse.In addition, to breakdown delay time and current waveform failing edge
The set time threshold of time statistics is different, and time threshold changes according to the variation of pulse parameter.
In present embodiment, as shown in figure 4, the deterministic process of continuous abnormal discharge pulse are as follows: count single paradoxical discharge
Pulse number, and the pulse number of itself and power supply output is compared, when paradoxical discharge pulse number is greater than power supply output
When pulse number, it is in continuous abnormal discharge condition, when paradoxical discharge pulse number is less than or equal to the pulse number of power supply output
When continuous paradoxical discharge interrupt, and the paradoxical discharge pulse number of statistics is compared with set threshold value, to judge
Whether paradoxical discharge is serious.
In present embodiment, insulative ceramic coatings-metal electrical discharge machining paradoxical discharge state detection method passes through different
Normal discharge condition detection apparatus realizes that paradoxical discharge condition checkout gear includes hardware circuit and programming.Hardware circuit
Statistic analysis circuit including gap voltage, current waveform samples circuit, the sample circuit of voltage waveform and sampled signal.Electric current
Waveform sampling circuit acquires gap voltage, current waveform, and sends it to Statistic analysis circuit.Voltage waveform sampling is by cutting
Wave sampling module, threshold value comparison module and photoelectric isolation module realize that wherein wave chopping sampling module uses two-diode clamp
Circuit, threshold value comparison module use voltage comparator;The sampling of current waveform passes through Hall current sensor and Phototube Coupling mould
Block is realized.Statistic analysis circuit is using the programmable logic devices module such as CPLD, FPGA, according to the gap discharge signal of input,
Insulative ceramic coatings-metal electrical discharge machining paradoxical discharge signal differentiation and output are realized by hardware description language.
Claims (8)
1. a kind of insulative ceramic coatings-metal electrical discharge machining paradoxical discharge condition checkout gear, it is characterised in that described different
Normal discharge condition detection apparatus includes voltage waveform sample circuit, current signal sample circuit and Statistic analysis module, in which:
The voltage waveform sample circuit is used to provide gap voltage sampled signal for Statistic analysis module;
The current signal sample circuit is used to provide gap current sampled signal for Statistic analysis module;
The Statistic analysis module realizes paradoxical discharge by being counted, being analyzed to collected gap current, voltage signal
The judgement of state.
2. insulative ceramic coatings according to claim 1-metal electrical discharge machining paradoxical discharge condition checkout gear,
It is characterized in that the voltage waveform sample circuit includes wave chopping sampling module, threshold value comparison module, photoelectric isolation module, wave chopping is adopted
Egf block handles gap voltage, current waveform decompression, and the voltage range where signal is determined by threshold value comparison module, exports
Voltage threshold comparison signal, then realized by photoelectric isolation module and be isolated with Statistic analysis module, prevent signal interference.
3. insulative ceramic coatings according to claim 1-metal electrical discharge machining paradoxical discharge condition checkout gear,
It is characterized in that the current signal sample circuit includes current sensor, photoelectric isolation module, current sensor detector gap electricity
Flow the presence or absence of signal, output electric current measure signal is realized by photoelectric isolation module and is isolated with Statistic analysis module.
4. insulative ceramic coatings according to claim 1-metal electrical discharge machining paradoxical discharge condition checkout gear,
It is characterized in that the Statistic analysis module includes that single paradoxical discharge pulse recognizes module, continuous abnormal discharge pulse judges mould
Block, the single paradoxical discharge pulse identification module is for judging whether single pulse is paradoxical discharge state;It is described continuous different
Normal discharge pulse judgment module realizes the judgement to severely subnormal electric discharge phenomena for judging whether paradoxical discharge pulse is continuous.
5. insulative ceramic coatings according to claim 4-metal electrical discharge machining paradoxical discharge condition checkout gear,
It is characterized in that the single paradoxical discharge pulse identification module includes waveform failing edge time statistical module and breakdown delay time
Statistical module;The current waveform failing edge time statistical module is used for the pulse signal synchronous with discharging gap according to input
The judgement in stage and pulsewidth stage between progress arteries and veins, the stage counts the electric current failing edge time between the arteries and veins of impulse waveform,
Detection delay is considered in statistics, for judging short circuit, non-shorting turning short circuit pulse;The breakdown delay time statistical module is used for
The judgement that the pulsewidth stage is carried out according to the pulse signal synchronous with discharging gap of input, in the pulsewidth stage of impulse waveform to hitting
It wears delay time to be counted, detection delay is considered in statistics, for judging electric arc, short circuit or non-shorting turning short circuit pulse.
6. a kind of realize insulative ceramic coatings-metal electrical discharge machining using claim 1-4 any claim described device
Paradoxical discharge state-detection method, it is characterised in that described method includes following steps:
Step 1: acquiring the gap voltage synchronous with discharging gap, current pulse signal by gap waveform sampling circuit;
Step 2: using current waveform failing edge time statistical module counts single pulse waveform current waveform failing edge when
Between, and statistical result is compared with the time threshold that threshold value comparison module is arranged, paradoxical discharge pulse is judged;
Step 3: being tied using the breakdown delay time of breakdown delay time statistical module counts single pulse waveform, and by statistics
Fruit judges paradoxical discharge state compared with the time threshold that threshold value comparison module is arranged;
Step 4: using paradoxical discharge pulse discrimination module, the single paradoxical discharge pulse that is obtained according to step 2 and step 3
Judging result carries out the judgement of continuous abnormal discharge pulse, output abnormality discharge signal.
7. the method for insulative ceramic coatings according to claim 5-metal electrical discharge machining paradoxical discharge state-detection,
It is characterized in that the current waveform failing edge time counting method of the single pulse waveform is as follows: according to input between electric discharge
The synchronous pulse signal of gap, carries out the judgement in stage and pulsewidth stage between arteries and veins, and the stage carries out under electric current between the arteries and veins of impulse waveform
Drop is counted along the time, and detection delay is considered in statistics.
8. the method for insulative ceramic coatings according to claim 5-metal electrical discharge machining paradoxical discharge state-detection,
It is characterized in that the judgment method of the paradoxical discharge pulse are as follows: set by being more than when the failing edge time of single current impulse waveform
The time threshold set, then it is assumed that the pulse is that short circuit or short circuit turn non-shorting pulse;When breakdown delay time is when set
Between within threshold value when, then it is assumed that the pulse is electric arc, short circuit or non-shorting turns short circuit pulse.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910590900.9A CN110142471B (en) | 2019-07-02 | 2019-07-02 | Device and method for detecting abnormal discharge state of insulating ceramic coating-metal electric spark machining |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910590900.9A CN110142471B (en) | 2019-07-02 | 2019-07-02 | Device and method for detecting abnormal discharge state of insulating ceramic coating-metal electric spark machining |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110142471A true CN110142471A (en) | 2019-08-20 |
CN110142471B CN110142471B (en) | 2021-05-18 |
Family
ID=67596782
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910590900.9A Active CN110142471B (en) | 2019-07-02 | 2019-07-02 | Device and method for detecting abnormal discharge state of insulating ceramic coating-metal electric spark machining |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110142471B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110548941A (en) * | 2019-10-16 | 2019-12-10 | 江苏冬庆数控机床有限公司 | detection device and detection method for discharge state of wire cut electrical discharge machining |
CN111843067A (en) * | 2020-08-10 | 2020-10-30 | 厦门理工学院 | Pulse power supply and pulse modulation method |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1765572A (en) * | 2004-10-29 | 2006-05-03 | 大连理工大学 | Method for detecting discharge condition in tenuous electric spark process interval |
CN101229599A (en) * | 2008-02-22 | 2008-07-30 | 苏州新火花机床有限公司 | Digital pulse power source |
CN101259551A (en) * | 2008-04-08 | 2008-09-10 | 哈尔滨工业大学 | Electrospark wire-electrode cutting process discharge condition detecting device |
CN101474762A (en) * | 2009-01-08 | 2009-07-08 | 上海交通大学 | Electric spark clearance discharge condition detection apparatus and method based on wavelet transformation |
EP2540430A2 (en) * | 2011-06-29 | 2013-01-02 | United Technologies Corporation | Electric discharge machining hole drilling |
CN204413334U (en) * | 2014-10-28 | 2015-06-24 | 佛山科学技术学院 | Based on the discharging gap-state detection module of pulse-train analysis |
EP2610026B1 (en) * | 2011-12-30 | 2015-11-18 | Agie Charmilles SA | Wire cutting method |
CN104028861B (en) * | 2014-05-29 | 2016-08-24 | 哈尔滨工业大学 | A kind of metal-ceramic FGM spark machined adaptive fuzzy control method step by step |
-
2019
- 2019-07-02 CN CN201910590900.9A patent/CN110142471B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1765572A (en) * | 2004-10-29 | 2006-05-03 | 大连理工大学 | Method for detecting discharge condition in tenuous electric spark process interval |
CN101229599A (en) * | 2008-02-22 | 2008-07-30 | 苏州新火花机床有限公司 | Digital pulse power source |
CN101259551A (en) * | 2008-04-08 | 2008-09-10 | 哈尔滨工业大学 | Electrospark wire-electrode cutting process discharge condition detecting device |
CN101474762A (en) * | 2009-01-08 | 2009-07-08 | 上海交通大学 | Electric spark clearance discharge condition detection apparatus and method based on wavelet transformation |
EP2540430A2 (en) * | 2011-06-29 | 2013-01-02 | United Technologies Corporation | Electric discharge machining hole drilling |
EP2610026B1 (en) * | 2011-12-30 | 2015-11-18 | Agie Charmilles SA | Wire cutting method |
CN104028861B (en) * | 2014-05-29 | 2016-08-24 | 哈尔滨工业大学 | A kind of metal-ceramic FGM spark machined adaptive fuzzy control method step by step |
CN204413334U (en) * | 2014-10-28 | 2015-06-24 | 佛山科学技术学院 | Based on the discharging gap-state detection module of pulse-train analysis |
Non-Patent Citations (2)
Title |
---|
赵万生: "《先进电火花加工技术》", 31 October 2003 * |
郭永丰等: ""基于CPLD 的绝缘陶瓷往复走丝电火花线切割加工间隙放电状态检测研究"", 《电加工与模具》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110548941A (en) * | 2019-10-16 | 2019-12-10 | 江苏冬庆数控机床有限公司 | detection device and detection method for discharge state of wire cut electrical discharge machining |
CN111843067A (en) * | 2020-08-10 | 2020-10-30 | 厦门理工学院 | Pulse power supply and pulse modulation method |
Also Published As
Publication number | Publication date |
---|---|
CN110142471B (en) | 2021-05-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110142471A (en) | Insulative ceramic coatings-metal electrical discharge machining paradoxical discharge condition checkout gear and method | |
CN101176935B (en) | Method and device for electrical discharge machining | |
CN107037340B (en) | A kind of to-and-fro thread feed electric spark wire-electrode cutting machine discharge position acquisition system | |
Oßwald et al. | Automated analysis of pulse types in high speed wire EDM | |
Pey Tee et al. | Pulse discrimination for electrical discharge machining with rotating electrode | |
EP3105000B1 (en) | Plasma cutting machine comprising a protection device, and a method for operating said plasma cutting machine | |
Marrocco et al. | Analysis of discharge pulses in micro-EDM milling of Si3N4-TiN composite workpiece by means of power spectral density (PSD) | |
EP0649696B1 (en) | Method for classifying discharge machining wave patterns, and method for preventing arcs based on the classification of the discharge machining wave in discharge machining apparatus | |
Dwaraka et al. | Investigation on the effect of EDM process variables and environments on acoustic emission signals | |
Dwaraka et al. | Investigation on non-invasive process monitoring of Die Sinking EDM using Acoustic Emission signals | |
EP3959525B1 (en) | Arc fault detector | |
CN210731286U (en) | Detection apparatus for spark-erosion wire cutting processing discharge state | |
CN111474185A (en) | Contact ablation degree judgment method based on circuit breaker radiation electromagnetic wave signal detection | |
CN202093102U (en) | Lightning surge generator | |
Zhou et al. | Assessment of the dynamical properties in EDM process—detecting deterministic nonlinearity of EDM process | |
CN1888925A (en) | Fault current fast identifying circuit | |
CN104959689A (en) | Overcurrent protective device for wire cut electrical discharge machining (WEDM) machine tool pulse power supply | |
Li et al. | Gap current voltage characteristics of energy-saving pulse power generator for wire EDM | |
CN110142470A (en) | Insulative ceramic coatings-metal electrical discharge machining parameters self-tuning pulse power | |
CN103658891A (en) | Long-short circuit restraining device used in discharge process of computer numerical control wire-cut electric discharge machine | |
Schwade | Fundamental analysis of high frequent electrical process signals for advanced technology developments in W-EDM | |
CN113311262A (en) | On-line detection method for silicon controlled trigger pulse of three-phase rectifier of electric arc furnace | |
Nirala et al. | Development of an algorithm for online pulse discrimination in micro-EDM using current and voltage sensors and their comparison | |
Hou et al. | Improving performance of micro-hole EDM based on frequency detection method | |
Cavallini et al. | Diagnostic evaluations of electrical apparatus by a novel partial discharge measurement system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |