Optimization of machining parameters in wire EDM of OFHC copper using Taguchi analysis

Satishkumar, P.; Murthi, C. Saravana; Meenakshi, R.

doi:10.1016/j.matpr.2020.06.120

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…On the contrary, the lowest value of Ra 1.6 µm was observed in Sample 52, machined with the following parameters: T on = 6 µs, T off = 40 µs, and I = 25 A. Similarly low values were obtained for copper machining in the studies undertaken by Venkateswarlu et al [23] and Satishkumar et al [9]. The thickness of the machined material in these studies was, however, only 10 mm.…”

Section: Statistical Evaluation Of Surface Topography and Cutting Speedmentioning

confidence: 71%

“…In the study, the minimum IFT and the machining parameters were investigated for copper microchannels. Satishkumar et al [9] studied the metal removal rate (MRR) and surface roughness of oxygen-free high thermal conductivity (OFHC) copper machined by WEDM. The Taguchi method was used to develop mathematical models to improve the said metal removal rate and surface roughness.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Models for Machining Optimization of Ampcoloy 35 with Different Thicknesses Using WEDM to Improve the Surface Properties of Mold Parts

et al. 2022

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Wire electrical discharge machining (WEDM) is an unconventional machining technology that can be used to machine materials with minimum electrical conductivity. The technology is often employed in the automotive industry, as it makes it possible to produce mold parts of complex shapes. Copper alloys are commonly used as electrodes for their high thermal conductivity. The subject of this study was creating mathematical models for the machining optimization of Ampcoloy 35 with different thicknesses (ranging from 5 to 160 mm with a step of 5 mm) using WEDM to improve the surface properties of the mold parts. The Box–Behnken type experiment was used with a total of 448 samples produced. The following machining parameters were altered over the course of the experiment: the pulse on and off time, discharge current, and material thickness. The cutting speed was measured, and the topography of the machined surfaces in the center and at the margins of the samples was analyzed. The morphology and subsurface layer were also studied. What makes this study unique is the large number of the tested thicknesses, ranging from 5 to 160 mm with a step of 5 mm. The contribution of this study to the automotive industry and plastic injection mold production is, therefore, significant. The regression models for the cutting speed and surface topography allow for efficient defect-free machining of Ampcoloy 35 of 5–160 mm thicknesses, both on the surface and in the subsurface layer.

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Section: Statistical Evaluation Of Surface Topography and Cutting Speedmentioning

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Mathematical Models for Machining Optimization of Ampcoloy 35 with Different Thicknesses Using WEDM to Improve the Surface Properties of Mold Parts

et al. 2022

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WITHDRAWN: Mechanical properties and characterization of Al7075 aluminum alloy based ZrO2 particle reinforced metal-matrix composites

Gunasekaran

Vijayan

Prakash

et al. 2020

Materials Today: Proceedings

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Identification of the effects and interactions of factors on the EDM process in order to model it using Taguchi method

KAMOUN

MESLAMENİ

2022

International Journal of Engineering and Innovative Research

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This article presents the identification of the influence of the effects and interactions of the machining parameters (EDM) of the machine (EROTECH basic 450) in order to model the material removal rate (MRR), the tool wear rate (TWR) and the roughness of the part (Ra). We look at all the machining parameters and collect the effects by the design of experiments method. The modeling carried out is thus carried out by the response surfaces method (RSM). We use the statistical method (ANOVA) analysis of variance to approve the robustness of the models and to verify that they are statistically significant. The Taguchi method was implemented to formulate mathematical models to predict EDM machining parameters. The prediction of responses by empirical models is compared with experimental validation tests and the results are satisfactory.

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Optimization of machining parameters in wire EDM of OFHC copper using Taguchi analysis

Cited by 3 publications

References 24 publications

Mathematical Models for Machining Optimization of Ampcoloy 35 with Different Thicknesses Using WEDM to Improve the Surface Properties of Mold Parts

Mathematical Models for Machining Optimization of Ampcoloy 35 with Different Thicknesses Using WEDM to Improve the Surface Properties of Mold Parts

WITHDRAWN: Mechanical properties and characterization of Al7075 aluminum alloy based ZrO2 particle reinforced metal-matrix composites

Identification of the effects and interactions of factors on the EDM process in order to model it using Taguchi method

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