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EXPERIMENTAL INVESTIGATION OF SURFACE ROUGHNESS IN CYLINDRICAL WIRE ELECTRO DISCHARGE MACHINING (CWEDM)

机译:圆柱形电火花电气放电加工表面粗糙度的实验研究(CWEDM)

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In this paper the effects of machining parameters on the surface roughness (Ra) in cylindrical wire electro discharge machining (CWEDM) are investigated. CWEDM is a new technology in which a rotary axis is added to a usual Wire EDM machine. In this process, a new machining parameter, such as rotational speed, is introduced, which changes the normal machining conditions in conventional wire electrical discharge machining (WEDM). Current paper investigates the effects of main parameters of CWEDM including power, voltage, pulse-off time, rotation speed of rotary axis and form factor (cone angle) on the surface roughness in CWEDM. This has been done by means of the technique of design of experiments (DOE); the three levels fractional factorial method (3~(k-p)) was used for studying the selected factors which allows us to carry out the above-mentioned analysis performing a relatively small number of experiments. Analysis of Variance (ANOVA) has been used to determine significant factors; also an equation based on data regression has been presented. Results from ANOVA show that power is a significant variable to surface roughness of cylindrical wire-EDMed AISI D3 cold worked steel parts. The surface roughness of test specimen increased as power and voltage increased and pulse off time and rotation speed decreased. Surfaces of the cylindrical WEDM parts were examined using Scanning Electron Microscopy (SEM) to identify the macro-ridges and craters on the surface. Cross-sections of the EDM parts are examined using the SEM to quantify the sub-surface recast layers and heat-affected zones under various process parameters and to determine their relation with surface roughness of parts.
机译:本文研究了研究圆柱形电焊料加工加工(CWEDM)表面粗糙度(Ra)的加工参数的影响。 CWEDM是一种新技术,其中旋转轴被添加到通常的电线EDM机器中。在该过程中,引入了一种新的加工参数,例如转速,其改变了传统的导线电气放电加工(WEDM)中的正常加工条件。目前的论文研究了CWEDM的主要参数的影响,包括电源,电压,脉冲关闭时间,旋转轴的旋转速度和形成CWEDM的表面粗糙度的形状因子(锥角)。这已经通过实验设计(DOE)的技术完成;三个级别分数阶乘方法(3〜(K-P))用于研究所选择的因素,这使我们能够执行上述分析,进行相对较少的实验。差异分析(ANOVA)已被用于确定重要因素;还提出了一种基于数据回归的等式。 ANOVA的结果表明,电力是圆柱形线束AISI D3冷加工钢部件的表面粗糙度的显着变量。试样的表面粗糙度随功率和电压增加而脉冲关闭时间和旋转速度降低而增加。使用扫描电子显微镜(SEM)检查圆柱形WEDM部件的表面,以识别表面上的宏观脊和陨石坑。使用SEM检查EDM部件的横截面,以在各种工艺参数下量化子表面重量层和热影响的区域,并确定它们与零件表面粗糙度的关系。

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