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基于靜電感應給電的多電極電火花加工伺服控制研究

發(fā)布時間:2018-05-06 16:36

  本文選題:電火花加工 + 靜電感應; 參考:《哈爾濱工業(yè)大學》2017年碩士論文


【摘要】:隨著制造業(yè)的發(fā)展,新型高速加工方法不斷涌現(xiàn),對電火花加工方法提出諸多挑戰(zhàn)。制約電火花加工方法發(fā)展的主要問題是加工速度慢。傳統(tǒng)電火花加工一個脈沖周期內(nèi)只發(fā)生一次放電,微觀上為非連續(xù)的。依靠提高放電頻率,增大單次放電能量及改善極間放電環(huán)境等方法緩解時間非連續(xù)性具有一定局限性。本課題基于靜電感應給電方法,針對電火花加工方法脈沖周期內(nèi)多點放電問題,就多電極加工進行研究。課題首先分析基于靜電感應給電的多電極電火花加工原理,進行電路仿真實驗,并采集實際加工過程中極間放電波形,將理論分析、仿真驗證和實驗結果對比分析,驗證多點放電可行性。在此基礎上,完成實驗平臺硬件部分與軟件電路設計,編寫不同驅(qū)動方式下控制程序,進行軟硬件聯(lián)合調(diào)試,完成多電極電火花實驗平臺搭建。通過加工實驗,對比多電極電火花加工方法在電極不同驅(qū)動方式、給電方式及加工極性下,加工速度和電極相對損耗率方面的差異,給出理論分析。繪制電極不同驅(qū)動方式下電極運動變位圖,分析兩種驅(qū)動方式在加工過程方面的性能優(yōu)劣。根據(jù)實驗結果,給出多電極給電方式電路結構優(yōu)化方案,并驗證改良后的電路在加工速度方面的優(yōu)勢。在最優(yōu)加工模式下,利用單因素實驗,分析分割電容、電源幅值、脈沖頻率等加工參數(shù)對加工速度和電極相對損耗率影響規(guī)律;利用響應曲面實驗,研究在多個加工因素交互作用下加工速度變化,建立加工速度與各加工因素之間的數(shù)學模型,確定可選范圍內(nèi)最優(yōu)加工參數(shù)組合。選定最佳加工模式和加工參數(shù),完成陣列異形孔加工,驗證該方法的實用價值。通過以上研究,分析基于靜電感應給電的多電極電火花加工方法,相比于傳統(tǒng)單電極電火花加工,在陣列異形孔、分割電極型腔加工等領域,加工速度和電極相對損耗率等方面的優(yōu)劣。
[Abstract]:With the development of manufacturing industry, new high-speed machining methods are emerging, which challenge EDM methods. The main problem that restricts the development of EDM is the slow machining speed. There is only one discharge in a pulse cycle in traditional EDM, which is discontinuous microscopically. It is limited to improve the frequency of discharge, increase the energy of single discharge and improve the environment of inter-pole discharge to alleviate the discontinuity of time. Based on the electrostatic induction method, the multi-electrode machining is studied in this paper, aiming at the multi-point discharge problem in the pulse cycle of EDM. Firstly, the principle of multi-electrode EDM based on electrostatic induction is analyzed, and the circuit simulation experiment is carried out, and the waveform of inter-pole discharge is collected in the process of practical machining. The theoretical analysis, simulation verification and experimental results are compared and analyzed. The feasibility of multipoint discharge is verified. On this basis, the hardware and software circuit design of the experimental platform is completed, the control program under different driving modes is written, the hardware and software joint debugging is carried out, and the multi-electrode EDM experimental platform is built. Through machining experiments, the differences of machining speed and electrode relative loss rate between different electrode driving modes, electric feeding methods and machining polarity are compared, and the theoretical analysis is given. The displacement diagram of electrode motion under different driving modes is drawn, and the performance of the two driving modes in machining process is analyzed. According to the experimental results, the structure optimization scheme of multi-electrode feeding circuit is given, and the advantages of the improved circuit in machining speed are verified. In the optimal machining mode, single factor experiment is used to analyze the effect of processing parameters such as split capacitance, power source amplitude and pulse frequency on the machining speed and the relative loss rate of the electrode, and the response surface experiment is used to analyze the effect of the processing parameters on the machining speed and the relative loss rate of the electrode. The change of machining speed under the interaction of several processing factors is studied. The mathematical model between machining speed and various processing factors is established and the optimal machining parameters combination is determined in the optional range. The optimal machining mode and processing parameters were selected to complete the machining of the irregular hole array, and the practical value of the method was verified. Through the above research, the paper analyzes the multi-electrode EDM method based on electrostatic induction, compared with the traditional single electrode EDM, in the fields of array shaped holes, split electrode cavity machining, etc. The advantages and disadvantages of processing speed and electrode relative loss rate.
【學位授予單位】:哈爾濱工業(yè)大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TG661
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本文編號:1853049

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