基于灰色理论的钛合金电火花加工工艺参数优化试验

为对材料去除速度、电极损耗和表面质量等工艺目标进行综合评价,以钛合金材料为试验对象,基于成熟的电火花加工设备,对峰值电流、脉冲宽度、占空比和抬刀周期等可调工艺参数进行正交试验研究,运用灰色理论进行试验数据分析,将多工艺目标转化为单一考量指标（灰关联度）,简化了试验过程,得到了工艺参数组合优化方案。验证试验结果表明,该参数组合能够在保证表面质量要求的同时,有效提高加工效率和降低电极损耗。     

电火花微小孔加工工艺参数的优化研究

由于目前对电火花放电机理认识的有限性而使参数优化成为电火花加工中的难点之一,特别是多项工艺指标要求下的参数优化问题更是缺乏理论指导和具体应用方法。因此,在用正交试验法研究了电火花微小孔加工中放电参数和非放电参数对加工速度、电极损耗和孔径间隙等各单项工艺指标的影响规律的基础上,采用灰色相关性理论,重点解决了多项工艺指标下的参数优化这一难点问题,简化了优化过程,得出了优化的参数组合方案。     

范数权重灰关联度超声电火花优化试验研究

采用基于范数权重的灰关联度分析方法对高硅铝合金进行多目标优化试验分析。通过对各工艺指标灰关联系数的极差分析和主效应分析,研究了工件竖直超声振动加工中峰值电流、间隙电压、脉冲间隔、脉冲宽度对加工效率和加工精度的影响。使用范数的方法确定了各工艺指标的权重进而对综合工艺指标进行了优化,得到一组最优参数组合。试验验证结果表明,经过优化以后表面精度提高25.63%,加工时间减少了3.542%,优化组的综合指标灰关联度提高为0.732。     

基于正交试验的电火花加工工艺效果试验分析

通过正交试验分析,探讨电火花成形加工中影响加工效果的主要因素,阐述了脉冲峰值电流、脉冲宽度及脉冲间 隔等对加工速度、加工表面粗糙度及工具电极损耗的影响关系,对解决电火花加工实践中工艺参数优化问题具有一定的 理论和实践意义。     

基于信噪比与灰关联度的电火花微小孔加工工艺参数的优化

在正交试验的基础上,采用参数设计中的信噪比方法,更加准确地反映具有强干扰特性的电火花微细加工过程中参数对加工工艺目标的影响程度,分析出各项参数对工艺指标影响的主次关系。以减小工艺性能的波动性为目的,结合灰色关联度分析方法,将多目标参数优化问题转化为单目标灰关联度的优化问题,得到电火花微小孔加工的多项工艺指标要求下的参数优化组合。综合试验结果表明,基于信噪比和灰关联度的优化方法能有效地提高微细电火花的加工精度、加工效率和加工稳定性。     

SiC磨粒辅助钛合金EDM和ECM并行加工的工艺参数优化

针对钛合金的难加工特点,单纯EDM、ECM的局限性以及EDM和ECM串行加工的低效率问题,在低电阻去离子水中加入碳化硅磨粒,开展了磨粒辅助作用下的EDM和ECM并行复合加工.将材料去除率、电极损耗率和表面粗糙度作为评价指标,通过正交试验和灰关联度分析,将多工艺目标转化为单一评价指标,得到峰值电流、脉冲宽度、磨粒浓度和放电电压主要工艺参数的优化组合,并进行了试验验证.结果表明:峰值电流为1.5 A、脉冲宽度为30μs、磨料浓度为5 g/L、放电电压为40 V的工艺参数组合所得到的电极损耗率、表面粗糙度和表面形貌都得到明显改善.     

高硅铝合金电火花加工的工艺参数优化设计

高硅铝电火花加工受到多个工艺参数的影响,而且各个工艺参数之间还存在着相互制约的关系。本文通过对高硅铝合金电火花加工,重点分析了间隙电压、峰值电流、脉冲宽度和加工时间对工件加工速度的影响,并对实验数据采用正交试验的方法进行处理并综合分析,得到3组最优组:直接分析最优组、极差分析最优组、曲线分析最优组,通过验证得到更优参数组。研究结果为实现高硅铝合金高效高精度的电火花加工提供了参考。     

磨加工主动量仪工艺参数灰色分析与决策

针对磨加工主动量仪在高精密磨削加工中的工艺参数寻优问题,该文采用由正交试验方法得到工艺参数与评价指标的实验数据,基于灰色系统理论,通过对实验数据分析,提出由工艺参数与评价指标之间的灰色关联度得出工艺参数对评价指标的影响程度的方法,得出在该加工实验中,精磨加工余量对表面粗糙度和圆度的的影响最大,接着依次为粗磨加工余量、粗磨砂轮切入速度、光磨加工余量和精磨砂轮切入速度;提出由加权灰靶决策对评价指标分析决策找到试验工艺参数最优组合的方法,得出16组实验参数组合中最优组合。该研究成果可以分析工艺参数与评价指标的关联,进行工艺参数寻优,为磨加工主动量仪中的工艺参数设定和自主寻优程序设计提供理论方法,进而提高磨加工主动量仪的智能化水平。     

电火花线切割加工钛合金表面微槽工艺参数研究

为了研究电火花线切割工艺参数(脉冲宽度、脉冲间隔、峰值电流、极间电压)对TC4钛合金加工的影响规律,本文通过一组四因素四水平正交试验,以切割速度、加工精度作为评价指标,通过极差分析法研究各工艺参数对钛合金加工的影响程度.试验结果表明:脉冲宽度对切割速度的影响是最大的,峰值电流对加工精度的影响是最大的.在脉冲宽度为24μ...     

高速切削工艺参数优化系统

使用正交试验法对粗糙度指标进行优化,得到了合理的切削参数,达到了提高零件加工表面质量和生产效率的目的,并且对切削工艺参数优化系统的设计思路和实现方法进行了较详细的叙述。通过本切削工艺参数优化系统运用正交试验等方法优化切削参数,从而建立尾翼零件切削参数数据库,为保证型号产品的加工质量提供技术支持。     

Optimization of EDM process for multiple performance characteristics using Taguchi method and Grey relational analysis

Electrical discharge machining (EDM) is one of the most extensively used non-conventional material removal processes. The Taguchi method has been utilized to determine the optimal EDM conditions in several industrial fields. The method, however, was designed to optimize only a single performance characteristic. To remove that limitation, the Grey relational analysis theory has been used to resolve the complicated interrelationships among the multiple performance characteristics. In the present study, we attempted to find the optimal machining conditions under which the micro-hole can be formed to a minimum diameter and a maximum aspect ratio. The Taguchi method was used to determine the relations between machining parameters and process characteristics. It was found that electrode wear and the entrance and exit clearances had a significant effect on the diameter of the micro-hole when the diameter of the electrode was identical. Grey relational analysis was used to determine the optimal machining parameters, among which the input voltage and the capacitance were found to be the most significant. The obtained optimal machining conditions were an input voltage of 60V, a capacitance of 680pF, a resistance of 500Ω, the feed rate of 1.5μm/s and a spindle speed of 1500rpm. Under these conditions, a micro-hole of 40μm average diameter and 10 aspect ratio could be machined.     

Optimization of machining parameters in rotary EDM process by using the Taguchi method

Electrical discharge machining (EDM) is one of the advanced methods of machining. Most publications on the EDM process are directed towards non-rotational tools. But rotation of the tool provides a good flushing in the machining zone. In this study, the optimal setting of the process parameters on rotary EDM was determined. A total of three variables of peak current, pulse on time, and rotational speed of the tool with three types of electrode were considered as machining parameters. Then some experiments have been performed by using Taguchi's method to evaluate the effects of input parameters on material removal rate, electrode wear rate, surface roughness, and overcut. Moreover, the optimal setting of the parameters was determined through experiments planned, conducted, and analyzed using the Taguchi method. Results indicate that the model has an acceptable performance to optimize the rotary EDM process.     

Optimization of machining parameters using magnetic-force-assisted EDM based on gray relational analysis

This work developed a novel process of magnetic-force-assisted electrical discharge machining (EDM) and conducted an experimental investigation to optimize the machining parameters associated with multiple performance characteristics using gray relational analysis. The main machining parameters such as machining polarity (P), peak current (I _P), pulse duration (τ _P), high-voltage auxiliary current (I _H), no-load voltage (V), and servo reference voltage (S _V) were selected to explore the effects of multiple performance characteristics on the material removal rate, electrode wear rate, and surface roughness. The experiments were conducted according to an orthogonal array L18 based on Taguchi method, and the significant process parameters that affected the multiple performance characteristics of magnetic-force-assisted EDM were also determined form the analysis of variance. Moreover, the optimal combination levels of machining parameters were also determined from the response graph and then verified experimentally. The multiple performance characteristics of the magnetic-force-assisted EDM were improved, and the EDM technique with high efficiency, high precision, and high-quality surface were established to meet the demand of modern industrial applications.     

Optimization of bone drilling parameters using grey-based fuzzy algorithm

In this article a modified algorithm (grey based fuzzy algorithm) is used to optimize multiple performance characteristics in drilling of bone. Experiments have been performed with different cutting conditions using full factorial design. The quality parameters considered are temperature, force and surface roughness. Grey relational analysis (GRA) coupled with fuzzy logic is employed to obtain a grey fuzzy reasoning grade (GFRG) combining all the quality characteristics. The highest GFRG is obtained for the feed rate of 40 mm/min and the speed of 500 rpm and is the optimal level. Analysis of variance (ANOVA) carried out to find the significance of parameters on multiple performance characteristics revealed that the feed rate has the highest contribution on GFRG followed by the spindle speed. The optimum level of the process parameters obtained is validated by the confirmation experiment.     

Modelling and experimental investigation of process parameters in EDM of Si<Subscript>3</Subscript>N<Subscript>4</Subscript>-TiN composites using GRA-RSM

Electric discharge machining (EDM) is a highly promising machining process of ceramics. This research is an out of the paradigm investigation of EDM on Si₃N₄-TiN with Copper electrode. Ceramics are used for extrusion dies and bearing balls and they are more efficient, effective and even have longer life than conventional metal alloys. Owing to high hardness of ceramic composites, they are almost impossible to be machined by conventional machining as it entirely depends on relative hardness of tool with work piece. Whereas EDM offers easy machinability combined with exceptional surface finish. Input parameters of paramount significance such as current (I), pulse on (P_on) and off time (P_off), Dielectric pressure (DP) and gap voltage (SV) are studied using L₂₅ orthogonal array. With help of mean effective plots the relationship of output parameters like Material removal rate (MRR), Tool wear rate (TWR), Surface roughness (Ra), Radial overcut (ROC), Taper angle (α), Circularity (CIR), Cylindricity (CYL) and Perpendicularity (PER) with the considered input parameters and their individual influence were investigated. The significant machining parameters were obtained by Analysis of variance (ANOVA) based on Grey relational analysis (GRA) and value of regression coefficient was determined for each model. The results were further evaluated by using confirmatory experiment which illustrated that spark eroding process could effectively be improved.     

Study on the characteristics of plasma channel based on multi-spark pulse discharge machining effect

Plasma channel characteristics and energy distribution in electrical discharge machining (EDM) were mostly studied by analyzing the geometry parameters of craters caused by a single pulse discharge in previous studies. However, single pulse experiments cannot provide us insights into superposition, migration, abruption, interruption, and other phenomena of the plasma channel which have significant effects on EDM. Besides, EDM itself is a consecutive pulse discharge process. Thus, this paper focuses on the characteristics of plasma channel and the mechanism of material removal based on experimental data from multi-spark pulse discharge machining. The contrastive milling experiments of different parameters in multi-spark pulse discharge machining in high-speed dry EDM by using nickel-based superalloy as workpiece were conducted. The effects of peak current, dielectric type, breakdown voltage, air pressure, and electrode rotation speed on the crater number, crater distance, crater depth, and crater removal volume were studied. The plasma channel characteristics and material removal mechanism in continuous machining of high-speed dry EDM were revealed.     

微细电火花加工脉冲电源及智能控制器设计

设计了以DSP和CPLD为控制单元的微细电火花脉冲电源,满足微细电火花加工单个脉冲能量小而可控的要求。针对加工过程难以用数学模型描述的问题,利用智能控制不依赖数学模型的优势,设计了模糊神经网络控制器,根据间隙放电状态,对在线参数实时调整。通过微小孔加工实验表明,采用智能控制的加工方式可以提高加工速度,有很好的应用前景。     

4Cr5MoVSi电火花加工试验特征规律研究

采用紫铜工具电极,在峰值电流为4-24A、脉冲宽度为25-200μs、加工电压为80-200V的电参数范围内,综合应用因子试验和正交试验方法,对难加工材料4Cr5MoVSi进行了电火花加工试验。在进行电加工基础特征规律分析的基础上,考查了电参数对加工速度、双边侧面放电间隙、电极损耗的影响,并对电火花加工机理进行了分析。研究结果表明:采用紫铜电极电火花加工4Cr5MoVSi,在本试验范围内,峰值电流Ip与脉冲宽度ti、加工电压U、脉冲间隔t0存在一定的交互作用;与其它三个因素相比,峰值电流对加工速度、电极损耗、双边侧面放电间隙的影响更显著;随脉冲宽度和加工电压的增大,电极损耗逐渐减小。     

Optimization of machining characteristics in electric discharge machining of 6061Al/Al2O3p/20P composites by grey relational analysis

Present investigation applied the designs of experiments and grey relational analysis (GRA) approach to optimise parameters for electrical discharge machining process of 6061Al/Al₂O₃p/20P aluminium metal matrix composites. Planning of experiments was based on an L18 (2^1?×?3^5) orthogonal array to determine an optimal setting. The process parameters included one noise factor, aspect ratio having two levels and five control factors, viz. pulse current, pulse ON time, duty cycle, gap voltage and tool electrode lift time with three levels each. The material removal rate, tool wear rate and surface roughness were selected as the evaluation criteria, in this study. Optimal combination of process parameters is determined by the grey relational grade (GRG) obtained through GRA for multiple performance characteristics. Analysis of variance for the GRG is also implemented. It is shown that through GRA, the optimization of the multiple performance characteristics can be greatly simplified.     

Development of parallel spark electrical discharge machining

This paper describes the development of parallel spark EDM method. In the discharge circuit, the electrode is divided into multiple electrodes, each of which is electrically insulated and connected to the pulse generator through a diode. A capacitor is inserted parallel to each discharge gap between each electrode and workpiece (here workpiece is common for each electrode). Compared with conventional EDM in which only a singular discharge can be generated for each pulse, multiple discharges can dispersively be generated for each pulse in parallel spark EDM. Results of experiments on parallel spark EDM and conventional EDM show that not only is the machining process more stable, but the machining speed and surface roughness can also be improved with parallel spark EDM.