Research And Implementation Of Intelligent WEDM Pulse Power

With difficult machining materials and modalities surface and mature gradually electricaldischarge machining (EDM) technology, has become indispensable in the processingmanufacturing technology. With the incessant development and application of EDMtechnology in our country, our country unique MS-WEDM is produced based on high-speedWEDM. At present, the pulse power design in according to the technological characteristicsof MS-WEDM is not yet mature, but the pulse power is the core part of WEDM machine, theperformance of which restricts the further application and development of wire cuttingtechnology. Therefore, high performance pulse power research for MS-WEDM machine hasimportant research significance and application value.Papers in the broad research for MS-WEDM technology and the development trend ofEDM pulse power development present situation at home and abroad, on the basis of deepresearch in the WEDM pulse energy and MS-WEDM process characteristics, has been clearabout the performance requirements of MS-WEDM pulse power supply, namely pulseparameter in a wide range can reconcile the digitalization, intellectualization. The pulse poweris researched and realized according to MS-WEDM pulse power performance requirementsresearch and implementation pulse power. The main contents are as follows:(1) Design and make pulse power based on FPGA chip. By configuring the Verilog HDLprogram in FPGA occurs a pulse signal, using a series of circuit in pulse signal processing anddrive control, and checking the validity of the design through the experiment. Joined thecircuit can eliminate the electric quantity of machining gap in time when the pulse intervalarises in main discharge circuit, obtained better clearance status.(2) According to the impact of the pulse parameters on the surface quality and theprocessing speed, based on the least square method to model the relationship between them,and through the model according to the processing requirements are based on geneticalgorithm to optimize the simulation, carried out effectively determine choice of the pulseparameters at the beginning of processing.(3) Through the machining gap data (voltage/current) acquisition hardware circuitdesign, to achieve the accurate collection of data on the gap. And on the basis of such datacollection, by analyzing original gap condition detection method, design a hybrid detectionmethod, realizing the efficient and accurate detection of the five possible gap dischargecondition in the processing of machining.(4) On the basis of real-time communication between PC and pulse power, according tothe discharge condition detection results, realize the real-time control of the machiningprocess through the adaptive controller. Studying the main points of the intelligent pulsepower, combined with the judgment and selection of the pulse parameter and the adaptivecontroller, makes the process more efficient and stable, and achieves intelligent optimizationand regulation of the process parameters.