WEDM of Cu/WC/SiC composites: development and machining parameters using artificial immune system

Meenakshi, R.; Suresh, P.

doi:10.1080/17458080.2019.1708331

Cited by 14 publications

(5 citation statements)

References 19 publications

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“…29 It has been found that the recent studies are oriented toward the investigation of the machinability prospects of differently reinforced hybrid MMCs . [30][31][32][33] Despite the availability of the broad range of research activities in the themed research, the two existing research gaps are as follows:…”

Section: Introductionmentioning

confidence: 99%

Investigating the influence of WEDM process parameters in machining of hybrid aluminum composites

Kumar

Grover

Manna

et al. 2020

Advanced Composites Letters

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This article presents an experimental investigation to assess the influence of input process parameters of machinability of wire electrical discharge machining (WEDM) process for machining of triple-reinforced silicon carbide, graphite, and iron oxide hybrid aluminum (Al-6061) metal matrix composites. The composite work specimens, developed using stir casting process, have been processed through WEDM process by adopting a statistically controlled design of experimentation approach. Furthermore, analysis of variance and regression analysis have been performed to understand the influence of the input process parameters on material removal rate (MRR) and spark gap (SG) width. The statistical analysis highlighted the improvements in MRR and SG by 33.72% and −27.28%, respectively, upon adopting the suggested optimized range of input process parameters. Further, the morphology of the machined composite surfaces has also been studied using scanning electron microscopy and energy dispersive spectroscopy to report the phenomenon of formation of recast layer.

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Section: Introductionmentioning

confidence: 99%

Investigating the influence of WEDM process parameters in machining of hybrid aluminum composites

Kumar

Grover

Manna

et al. 2020

Advanced Composites Letters

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“…All of these observations seem to indicate that the sputtering pressure is the dominating factor controlling the microstructure and thermal stability of the sputtered films. Now, most recently, machine learning and artificial intelligence has offered a promising path to leverage existing datasets and infer data-driven models that, in turn, can be used to accelerate the discovery of new materials [179][180][181][182][183][184][185][186][187][188][189][190]. In the field of glasses also, Han Liu et al [191] have presented a review of machine learning applied to glass science.…”

Section: Thermal Propertiesmentioning

confidence: 99%

Recent innovations in properties of nanostructured glasses and composites

Deepika¹,

Dixit

Singh

et al. 2021

Journal of Experimental Nanoscience

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The thrust to invent new materials and technology has been ever increasing due to technological challenges in progressive world. Among new materials, nanomaterials possess superior optical, electrical, magnetic, mechanical, and thermal properties, which have made them suitable for a multitude of applications. The present review paper deals with recent advances in properties of nanostructured glasses and composites in terms optical, electrical, mechanical and thermal properties. A brief discussion has been done on fabrication method of nanostructured glasses. The review of optical properties shows that nanostructured glasses show both direct and indirect band gap and this tuning of band gap depends on extent of nano structuring of samples. The electrical properties also show enhancement in electrical conductivity on nano-structuring of glasses compared to their bulk counterparts. The changes in mechanical and thermal properties of nanostructured glasses and composites are attributed to many microstructural features like grain size and shape, their distribution, pores and their distribution, other flaws/defects and their distribution, surface condition, impurity level, second phases/dopants, stress, duration of its application and temperature effect on the samples. Literature reports that nano structuring leads to enhanced phonon boundary scattering which reduces the thermal conductivity.

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“…Taguchi's L9 orthogonal array, advantageous for its need for a small number of trials, was successfully employed in the experiment and, along with the analysis of variance (ANOVA), helped determine the importance of the aforementioned machining parameters. Meenakshi et al [12] studied the surface roughness of copper metal matrix composite (MMCs) machined with WEDM. The experiment was conducted using Taguchi's L9 orthogonal array.…”

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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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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WEDM of Cu/WC/SiC composites: development and machining parameters using artificial immune system

Cited by 14 publications

References 19 publications

Investigating the influence of WEDM process parameters in machining of hybrid aluminum composites

Investigating the influence of WEDM process parameters in machining of hybrid aluminum composites

Recent innovations in properties of nanostructured glasses and composites

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

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