Electrochemical Discharge Drilling of Polymer Matrix Composites

Antil, Parvesh; Singh, Sarbjit; Manna, Alakesh; Prakash, Chander

doi:10.1007/978-981-13-2417-8_11

Cited by 7 publications

(3 citation statements)

References 35 publications

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“…The experiments were conducted based on experimental design, and two output response characteristics (ORC) were measured. Design expert 10 was used to generate the regression equation for ORCs by using experimental values and Equation (2). Equations (3 and 4) shows the regression equation in actual terms for MRR and overcut.…”

Section: Materials and Experimental Planningmentioning

confidence: 99%

“…[1] The enhanced PCMs are reinforced with abrasive particles as secondary reinforcement which strengthens their usage in the adverse slurry environment. [2] Nowadays, these composites are effectively used in the aviation sector where these require accurate machining for the assembly purpose. [3] But the presence of secondary reinforcement like silicon carbide deteriorates drilling characteristics by increasing tool wear.…”

Section: Introductionmentioning

confidence: 99%

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An improvement in drilling of SiCp/glass fiber‐reinforced polymer matrix composites using response surface methodology and multi‐objective particle swarm optimization

et al. 2021

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The growing dominance in terms of industrial applications has helped polymerbased composite materials in conquering new markets relentlessly. But the presence of fibrous residuals and abrasive particles as reinforcement in polymer matrix composites (PMCs) affects the output quality characteristics (OQCs) of microdrilling operations. The OQC aims at reducing overcuts and momentous material removal rate (MRR). In such perception, multi-objective particle swarm optimization (MOPSO) evident to be a suitable optimization technique for prediction and process selection in manufacturing industries. The present paper focuses on multi-objective optimization of electrochemical discharge drilling parameters during drilling of SiC p and glass fiber-reinforced PMCs using MOPSO. The response surface methodology (RSM)-based central composite design was used for the experiment planning. Electrolyte concentration, interelectrode gap, duty factor, and voltage were used as process parameters, whereas MRR and overcut were observed as OQCs. The obtained experimental results were initially optimized by RSM-based desirability function and later with multiresponse optimization technique MOPSO to achieve best possible MRR with lower possible overcut. The comparative analysis proves that OQCs can be effectively improved by using MOPSO.

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Section: Materials and Experimental Planningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An improvement in drilling of SiCp/glass fiber‐reinforced polymer matrix composites using response surface methodology and multi‐objective particle swarm optimization

et al. 2021

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“…Nain et al (2017) used GRA to optimize cutting rate and surface finish during the wire EDM of Udimmet-L605. Antil et al (2018) has performed parametric optimization of electro-chemical drilling process by considering S/N ratios of the responses. Kumar et al (2019) optimized the process parameters during the WEDM of Ti-6Al-4 V alloy using GRA and modelled the responses using ANFIS.…”

Section: Introductionmentioning

confidence: 99%

Multi-response Optimization of Wire EDM of Inconel 718 Using a Hybrid Entropy Weighted GRA-TOPSIS Method

Abhilash

Chakradhar

2021

Process Integr Optim Sustain

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The current work demonstrates a novel multi-criteria decision-making (MCDM) technique to optimize the process parameters during the wire electric discharge machining of Inconel 718. A hybrid GRA-TOPSIS algorithm using entropy weights is developed to optimize wire electric discharge machining processes parameters for maximizing the cutting speed and simultaneously minimizing the surface roughness and flatness error. Experiments were conducted according to Taguchi L 18 orthogonal array considering pulse on time, pulse off time, servo voltage, wire feed rate, and wire electrode types as the input parameters. The weights of each responses were calculated by entropy weights method. The different alternatives were ranked using the hybrid technique, and an optimum parameter combination is found that maximizes the process outcome. The analysis of variance (ANOVA) was performed to study the relative significance of process parameters on the performance index. The results were finally validated by performing confirmation tests. The entropy weighted GRA-TOPSIS method was observed to improve the overall process performance compared to conventional TOPSIS. Microstructural analysis, morphological studies, and EDS analysis were conducted to study the surface integrity of the machined surface under optimal parameter settings.

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Effect of Process Parameters on Volume and Geometrical Features of Electric Discharge Machined Channels on a Cast AA6061-B4C Composite

Gudipudi

Selvaraj

Dongari

et al. 2020

Lecture Notes in Mechanical Engineering

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Electrochemical Discharge Drilling of Polymer Matrix Composites

Cited by 7 publications

References 35 publications

An improvement in drilling of SiCp/glass fiber‐reinforced polymer matrix composites using response surface methodology and multi‐objective particle swarm optimization

An improvement in drilling of SiCp/glass fiber‐reinforced polymer matrix composites using response surface methodology and multi‐objective particle swarm optimization

Multi-response Optimization of Wire EDM of Inconel 718 Using a Hybrid Entropy Weighted GRA-TOPSIS Method

Effect of Process Parameters on Volume and Geometrical Features of Electric Discharge Machined Channels on a Cast AA6061-B4C Composite

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