电火花加工中放电间隙状态的识别技术研究

首先分析了电火花加工中放电间隙脉冲的四种典型状态,然后论述了间隙脉冲传统的识别技术和基于人工智能理论的识别技术,指出了基于人工智能理论用计算机软件进行的识别技术是这一领域新的发展方向。     

电火花加工临界放电间隙实验研究

基于田口法考查了电火花加工在煤油、空气状态下的临界放电间隙及主要加工电参数(峰值电流、放电电压、脉冲宽度)的变化规律和影响顺序,为进一步理解电火花加工机理提供了实验基础。     

安全间隙对电火花加工效率的影响

以瑞士阿奇夏米尔机床为实验设备,从安全间隙对加工效率的影响入手,通过大量实验研究,总结出石墨电极在加工常用模具钢时的一种高效加工工艺,并建立了相应的工艺参数库表.经验证,该工艺也适合其他类型数控电火花加工机床,望能对企业生产起到一定的帮助作用.     

电火花加工间隙的检测与识别方法

简要介绍了电火花间隙放电的状态分类和特征,电火花加工间隙常见检测方法以及检测间隙电压(电流)的常见电路.对放电状态的识别方法进行了总结,主要包括传统识别方法和智能识别方法(模糊法、神经网络法、模糊神经法、小波分析法等),指出了其优缺点.对放电间隙检测与识别技术的发展方向进行了展望.     

电火花临界与加工放电间隙实验研究

基于田口法研究了电火花放电过程中的临界放电间隙和实际加工中的连续放电间隙与电参数的关系。电参数主要有峰值电流、放电电压和脉冲宽度值。然后通过计算信噪比和方差分析来判定主要影响放电间隙的参数。结果表明:临界放电间隙主要是受放电电压影响,而连续加工中的间隙主要是由放电电流决定,且连续加工放电间隙要大于临界放电间隙。     

电火花放电间隙状态检测模块的设计

本文设计的电火花放电间隙状态检测模块地间隙电压、电流及前一个间隙状态的判断,能够即时区分种放电间隙状态,并通过对一段时间内出现某间隙状态的时间进行累计,来检测该间隙状态的发生率。上墓愉还对间隙平均电压、峰值平均电压进行了检测。     

电火花精微加工放电间隙测量与分析

对电火花精微加工放电间隙进行了测量,得出了放电峰值电流ie、脉冲宽度ti、脉冲间隔to等电参数对放电间隙值的影响规律。     

电火花加工中间隙放电状态检测的一种新方法

在电火花加工中,间隙放电状态是伺服控制的依据,因此间隙放电状态的检测非常重要。检测方法有很多,最常用的是间隙平均电压检测法和峰值电压检测法。本文提出了间隙平均脉宽电压检测法,其构思巧妙,具有方法简单、检测准确、适用范围宽等优点。     

State of the art electrical discharge machining (EDM)

Electrical discharge machining (EDM) is a well-established machining option for manufacturing geometrically complex or hard material parts that are extremely difficult-to-machine by conventional machining processes. The non-contact machining technique has been continuously evolving from a mere tool and die making process to a micro-scale application machining alternative attracting a significant amount of research interests.In recent years, EDM researchers have explored a number of ways to improve the sparking efficiency including some unique experimental concepts that depart from the EDM traditional sparking phenomenon. Despite a range of different approaches, this new research shares the same objectives of achieving more efficient metal removal coupled with a reduction in tool wear and improved surface quality.This paper reviews the research work carried out from the inception to the development of die-sinking EDM within the past decade. It reports on the EDM research relating to improving performance measures, optimising the process variables, monitoring and control the sparking process, simplifying the electrode design and manufacture. A range of EDM applications are highlighted together with the development of hybrid machining processes. The final part of the paper discusses these developments and outlines the trends for future EDM research.     

A semi-empirical approach for residual stresses in electric discharge machining (EDM)

High residual stresses are developed on the surfaces of electric discharge machined parts. In this study, layer removal method is used to measure the residual stress profile as a function of depth beneath the surface caused by die sinking type EDM. Cracking and its consequences on residual stresses are also studied on samples machined at long pulse durations. A modified empirical equation is developed for scaling residual stresses in machined surfaces with respect to operating conditions. In this model, a unit amplitude shape function representing change in curvature with respect to removal depth is proposed. The proposed form is found to be a special form of a Gauss Distribution. It is the sum of two Gaussian peaks, with the same amplitude and pulse width but opposite center location. The form can be represented by three constant coefficients. These coefficients depend on the released energy by a power function.     

Influence of silicon powder-mixed dielectric on conventional electrical discharge machining

Electrical discharge machining (EDM) is a technological process with a large industrial implementation. Its use is particularly intense when very complex shapes on hard materials with a high geometrical and dimensional accuracy are required. However, the technological capability of the process has limited its application when the specification of the part surface quality imposes polished and mirror-like characteristics. The addition of powder particles in suspension in the dielectric modifies some process variables and creates the conditions to achieve a high surface quality in large areas. This paper presents a new research work aiming to study the performance improvement of conventional EDM when used with a powder-mixed dielectric. A silicon powder was used and the improvement is assessed through quality surface indicators and process time measurements, over a set of different processing areas. The results show the positive influence of the silicon powder in the reduction of the operating time, required to achieve a specific surface quality, and in the decrease of the surface roughness, allowing the generation of mirror-like surfaces.     

齿轮模具电火花展成加工研究

从整体上对齿轮模具电火花展成加工方法进行研究,充分利用电火花加工不受工件硬度限制的优点,结合展成法加工齿轮的强制啮合原理,能均化各齿的加工误差,无轴向进给电火花加工所形成的加工锥度。实验证明,加工的齿轮模具完全能满足使用要求。齿轮模具电火花展成加工是齿轮加工方法的一个创新,对齿轮模具制造具有较大的现实意义。     

Clarification of EDM gap phenomena using transparent electrodes

This paper describes the heat source diameter of single pulse discharge in electrical discharge machining. To observe the discharge plasma, SiC and Ga₂O₃ single crystals were used as the electrode material since they are optically transparent and electrically conductive. It was found that plasma diameter expands within a few microseconds after dielectric breakdown and the plasma diameter is much larger than the discharge crater. From the measured diameter of the crater, the heat source diameter was obtained by solving the inverse problem of heat conduction analysis, and it was found that the heat source diameter is smaller than the plasma diameter but larger than the crater diameter.     

电火花放电加工间隙状态检测方法综述

间隙状态检测是电火花加工过程中极其重要的一个环节。该文介绍了利用独立式脉冲电源进行电火花加工过程间隙状态检测的常用方法，分析了它们的实现原理与特点。     

An investigation of ultrasonic-assisted electrical discharge machining in gas

This study focuses on using ultrasonic to improve the efficiency in electrical discharge machining (EDM) in gas medium. The new method is referred to as ultrasonic-assisted electrical discharge machining (UEDM). In the process of UEDM in gas, the tool electrode is a thin-walled pipe, the high-pressure gas medium is applied from inside, and the ultrasonic actuation is applied onto the workpiece. In our experiment, the workpiece material is AISI 1045 steel and the electrode material is copper. The experiment results indicate that (a) the Material Removal Rate (MRR) is increased with respect to the increase of the open voltage, the pulse duration, the amplitude of ultrasonic actuation, the discharge current, and the decrease of the wall thickness of electrode pipe; and (b) the surface roughness is increased with respect to the increase of the open voltage, the pulse duration, and the discharge current. Based on experimental results, a theoretical model to estimate the MRR and the surface roughness is developed.     

Reliability of electrode wear compensation based on material removal per discharge in micro EDM milling

This paper investigates the reliability of workpiece material removal per discharge (MRD) estimation for application in electrode wear compensation based on workpiece material removal. An experimental investigation involving discharge counting and automatic on the machine measurement of removed material volume was carried out in a range of process parameters settings from fine finishing to roughing. MRD showed a decreasing trend with the progress of the machining operation, reaching stabilization after a number of machined layers. Using the information on MRD and discharge counting, a material removal simulation tool was developed and validated.     

Applications of acoustic mapping in electrical discharge machining

The spatial distribution of discharges in electrical discharge machining (EDM) comprises valuable process information, which is not accurately obtained from electrical signals that are utilized extensively for process monitoring and control. This research hence explored the application of acoustic emission (AE) to map the discharges, in consideration of the acoustic time lag. In particular, the work refers to realistic process conditions, wherein AE from successive discharges cause repeated signal interference, which is detrimental to reliable time lag estimation. The applications of this capability for the respective identification of electrode length and workpiece height in fast-hole EDM and wire EDM are presented.     

Thermal stresses due to electrical discharge machining

The high temperature gradients generated at the gap during electrical discharge machining (EDM) result in large localized thermal stresses in a small heat-affected zone. These thermal stresses can lead to micro-cracks, decrease in strength and fatigue life and possibly catastrophic failure. A finite element model has been developed to estimate the temperature field and thermal stresses due to Gaussian distributed heat flux of a spark during EDM. First, the developed code calculates the temperature in the workpiece and then the thermal stress field is estimated using this temperature field. The effects of various process variables (current and duty cycle) on temperature distribution and thermal stress distribution have been reported. The results of the analysis show high temperature gradient zones and the regions of large stresses where, sometimes, they exceed the material yield strength.