Synthesis, Characterization and Wire Electric Erosion Behaviour of AA7178-10 wt.% ZrB2 Composite

Kumar, Suresh; Ravichandran, M.

doi:10.1007/s12633-018-9802-7

Cited by 41 publications

(7 citation statements)

References 28 publications

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“…In the latter half of the 1960s, WEDM was first introduced to the manufacturing sector. The search for a method to replace the machined electrode used in EDM led to the creation of the procedure [15]. In order to autonomously regulate the shape of the component that would be machined using the WEDM process, D.H. Dule-bohn applied the optical-line follower system in 1974 [16].…”

Section: Evolution Of Wedmmentioning

confidence: 99%

Experimental Investigations of Wire Electric Discharge Machining on Super AlloyMetal Composites

2023

IRJMETS

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A specialized thermal machining technique called wire electrical discharge machining (WEDM) can precisely manufacture items with changing hardness or complex shapes that have sharp edges and are very challenging to machine using conventional machining techniques. This useful technology for the WEDM procedure is based on the typical EDM sparking phenomenon and makes use of the commonly used non-contact material removal method. Since the process's inception, WEDM has developed from a straightforward method for creating tools and dies to the best option for creating microscale parts with the highest level of dimensional accuracy and surface finish quality. The WEDM method has endured over time as a competitive and cost-effective machining alternative that can meet the stringent machining specifications imposed by quick product development cycles and rising cost demands. The possibility of wire breakage and bending, however, has severely hindered the process' full potential and decreased the accuracy and efficiency of the WEDM operation. The various approaches to achieve the ultimate WEDM goals of optimizing the numerous process parameters analytically with the complete removal of the wire breakages, while also enhancing the overall machining dependability, have been thoroughly researched .In this paper a significant amount of study has been done on the WEDM process capacity globally over the years. The purpose of this paper is to examine the research on parametric WEDM process variable effects on various output performance measures. The research also explores the potential of using WEDM technology to machine advanced materials and emphasizes several modelling techniques to forecast optimal machining conditions. This research also emphasizes combined technology, which gains from the advantages of both WEDM and traditional methods. The development and potential direction of research in the WEDM process are covered.

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Section: Evolution Of Wedmmentioning

confidence: 99%

Experimental Investigations of Wire Electric Discharge Machining on Super AlloyMetal Composites

2023

IRJMETS

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“…Taguchi orthogonal array was chosen to determine the process variables of the input parameters, as Taguchi's method helps in the optimization of the response parameters concerning concerned factors. We have chosen various weight percentages such as level, and different input parameters such as load (10,15,20,25,30) N, sliding speed (250, 300, 350, 400, 450) rpm, sliding time (5,7,9,11,13) min, composites (0%, 1%, 2%, 3%, 4%) as factors. Using Minitab 18, we chose L 25 orthogonal array to find responses such as weight loss and wear rate.…”

Section: Wear Behaviormentioning

confidence: 99%

“…The mechanical properties of Al2024 reinforced with one weight percentage CNTs were investigated [12]. Moreover, the wear behavior of aluminium based synthesized composites were assessed [13][14][15]. Aluminium was reinforced with carbon nanotubes using the induction melting process for aerospace applications [16].…”

Section: Introductionmentioning

confidence: 99%

Sensor-Assisted Assessment of the Tribological Behavior Patterns of AA7075 Hybrid MMC Reinforced with Multi-Wall Carbon Nanotubes and Pulverized Fuel Ash

Selvaraj

Srinivasan

et al. 2020

Materials

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In recent years, the deployment of sensors and other ancillary technologies has turned out to be vital in the investigation of tribological behavioral patterns of composites. The tribological behavioral patterns of AA7075 hybrid metal matrix composites (MMCs) reinforced with multi-wall carbon nanotubes (MWCNTs), and pulverized fuel ash (PFA) were investigated in this work. The stir casting technique was used to fabricate the composites. The mechanical properties such as tensile strength and hardness were determined for the fabricated material. Besides, microstructure analysis was performed for these AA7075 hybrid MMCs reinforced with MWCNTs and pulverized fuel ash. A pin-on-disc wear testing setup was used to evaluate the wear rate, in which the EN 31 steel disc was used as the counter-face. Taguchi’s design of the experiments was used to optimize the input parameters that impact the characteristics of the hybrid composites, and ANOVA (analysis of variance) was used to determine the contribution of input parameters on the wear behavior. Electrical discharge machining (EDM) was conducted on the AA7075 hybrid metal matrix composites using a copper electrode for determining the material removal rate. These investigations and the results were utilized for determining the optimized output process parameter values of the AA7075 metal matrix composite.

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“…In the experimental investigation of Kumar and Ravichandran, 3 WEDM machining was conducted after fabricating Al7178-ZrB2-10 wt.% MMC (stir casting process). Afterwards, to analyze the surface characteristics, X-Ray spectroscopy (energy dispersive) and SEM (scanning electron microscope) were used.…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of Wire –EDM parameters for machining of Ni_54.1Ti_45.9 shape memory alloy using hybrid approach

Gupta

Dubey

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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Shape memory alloys are a distinct family of alloys recognized for their unique features, such as extreme anti-fatigue, exceptional specific strength, corrosion resistance, biocompatibility, and pseudo-elasticity. Due to strain-hardening effects displayed by the latter during a conventional machining process, these features make shape memory alloys particularly functional for machining utilizing non-traditional methods rather than conventional ones. The alloy's original qualities are at risk as a result of this consequence. Nickel-Titanium shape memory alloys with 54.1 and 45.9% Nickel-Titanium blends were employed in this investigation (Ni54.1Ti45.9). The surface characteristics of Ni54.1Ti45.9 alloy are investigated using the wire electrical discharge machining (WEDM) technique with a brass tool electrode (zinc-coated) and the influence of process parameters on it. Variations in wire feed rate, wire tension, pulse on and off duration, and peak current were used as input factors to investigate variations in surface roughness and material removal rate. Surface roughness and material removal rate data from L27 orthogonal array (OA) studies were used to create artificial neural network (ANN) models. To improve the quality attributes, a model combining a hybrid version of the genetic algorithm (GA) and an ANN has been presented. The ANN models were found to accurately predict the results, which matched the experimental data. After the adjustment, the quality features also improved significantly.

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Synthesis, Characterization and Wire Electric Erosion Behaviour of AA7178-10 wt.% ZrB2 Composite

Cited by 41 publications

References 28 publications

Experimental Investigations of Wire Electric Discharge Machining on Super AlloyMetal Composites

Experimental Investigations of Wire Electric Discharge Machining on Super AlloyMetal Composites

Sensor-Assisted Assessment of the Tribological Behavior Patterns of AA7075 Hybrid MMC Reinforced with Multi-Wall Carbon Nanotubes and Pulverized Fuel Ash

Modeling and optimization of Wire –EDM parameters for machining of Ni_54.1Ti_45.9 shape memory alloy using hybrid approach

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Synthesis, Characterization and Wire Electric Erosion Behaviour of AA7178-10 wt.% ZrB2 Composite

Cited by 41 publications

References 28 publications

Experimental Investigations of Wire Electric Discharge Machining on Super AlloyMetal Composites

Experimental Investigations of Wire Electric Discharge Machining on Super AlloyMetal Composites

Sensor-Assisted Assessment of the Tribological Behavior Patterns of AA7075 Hybrid MMC Reinforced with Multi-Wall Carbon Nanotubes and Pulverized Fuel Ash

Modeling and optimization of Wire –EDM parameters for machining of Ni54.1Ti45.9 shape memory alloy using hybrid approach

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Modeling and optimization of Wire –EDM parameters for machining of Ni_54.1Ti_45.9 shape memory alloy using hybrid approach