Multi-objective Optimization of Wire Electrical Discharge Machining Process Parameters for Al5083/7% $${\hbox {B}}_{4}{\hbox {C}}$$ B 4 C Composite Using Metaheuristic Techniques

Shadab, Malik; Singh, Ram; Naresh, Ram

doi:10.1007/s13369-018-3491-9

Cited by 22 publications

(10 citation statements)

References 21 publications

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“…It is a technique to minimize the number of experiments to achieve an optimal solution [9]. The Taguchi's method of creating the DOE is mostly preferred due to the fact that the number of experiments is the least in this method [10]. In the literatures [11][12][13][14], the authors showed that peak current (I.P.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the study Taguchi design is applied to create the DOE. Taguchi's method is mostly preferred for engineering problems due to the fact that total number of experiment designed is the least amongst all other methods [10]. As more number of experiments involves more cost in the form of man, machine and material with the same consistency.…”

Section: Design Of Experimentsmentioning

confidence: 99%

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Modelling and optimizing performance parameters in the wire-electro discharge machining of Al5083/B4C composite by multi-objective response surface methodology

Singh

Hussain

Dash

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Composite is an artificial multiphase material that constituent phases which are chemically dissimilar and separated by a distinct interface. As a result of such anisotropic and non-homogeneous formation machining of composites is a strenuous task. Therefore, the need arose for formulating a stable predictive model. The comprehensive intention of this study is to develop a highly robust and stable predictive soft-computing model for forecasting the machining performance of Al-5083 alloy reinforced with B 4 C particles (Al5083/B 4 C). The study mostly emphasize on selecting the best machining parameters among the conducted experiments and evaluating the optimal machining parameters for Al5083/B 4 C composite in wireelectro discharge machin. The paper is an integration of equally weighted experimental as well as computational study. In the experimental part of the study, 5 different specimen of Al5083/B 4 C is prepared by the ex situ technique through stir casting process. The experimental part includes design of experiment by Taguchi's method. The computational part of the study comprised of three different stages. The first stage involves the mathematical modelling of the performance measures and statistical scrutiny of the models. In the second stage, the best machining parameters are selected based on the fuzzy IFthen rules. The final stage of the manuscript is the trade-off analysis conducted to obtain the optimal machining parameters. In order to test the robustness of the formulated model an experimental validation is carried out at the optimal machining combination. The error calculated from the comparison is within the range of 2-5% which justifies the objective of the study.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Design Of Experimentsmentioning

confidence: 99%

Modelling and optimizing performance parameters in the wire-electro discharge machining of Al5083/B4C composite by multi-objective response surface methodology

Singh

Hussain

Dash

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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“…TLBO is a metaheuristic search algorithm recently developed by Rao et al [46,47]. Lately, researchers have applied this method to optimize traditional as well as advanced manufacturing processes [48][49][50][51]. This method is inspired by the teacher-student interaction mechanism.…”

Section: Teaching and Learning-based Optimization (Tlbo)mentioning

confidence: 99%

An experimental investigation for parametric appraisal of electrohydrodynamic-driven microfabrication approach using teaching and learning-based optimization

Das

Roy

Murmu

2020

J Braz. Soc. Mech. Sci. Eng.

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Electrohydrodynamic (EHD)-based microfabrication process is a novel high-resolution pattern generation technology for micro/nanoscale system fabrication. Achieving tiny droplets during deposition has been a critical issue for the further development of this new emerging technology. It is imperative to identify the proper fabrication parameters to get the desired resolution operation. In the current study, first, an experimental EHD microfabrication setup is developed, and then experiments are carried out to search for an operating condition, which can promote high-resolution droplet generation. The experiments are planned by design of experiment scheme. The influence of the operating control parameters such as nozzle to substrate gap, voltage and the supply rate of the material on deposited droplets diameter is investigated in the current work. Characterization study reveals that nozzle to substrate gap and supply rate have a positive effect on deposition behavior, whereas voltage has a negative association with the droplet resolution. For better control of the EHD process, a causal relationship is developed between process control and performance parameter. A metaheuristic search algorithm named teaching and learning-based optimization (TLBO) is employed to find out the optimal operating environment of the EHD process. The results are compared with the traditional robust parameter design approach, and the authors found that TLBO performs more effectively for resolution improvement in the EHD-driven microfabrication process. Moreover, the sequence in which the control parameters govern the fabrication process is identified and reported.

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“…In the WCEDM, the wires are generally made up of brass materials. The WCEDM is a thermo-electrical approach of cutting the samples at any profiles easily; the erosion action can be completed between samples and electrodes with introduction of an electrical spark [16][17][18][19]. The circulated water improves the feed rate of the wires by removal or washes out the debris from the machining zone.…”

Section: Introductionmentioning

confidence: 99%

Synthesis and Characterization of Mechanical Properties and Wire Cut EDM Process Parameters Analysis in AZ61 Magnesium Alloy + B4C + SiC

et al. 2021

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Wire Cut Electric Discharge Machining (WCEDM) is a novel method for machining different materials with application of electrical energy by the movement of wire electrode. For this work, an AZ61 magnesium alloy with reinforcement of boron carbide and silicon carbide in different percentage levels was used and a plate was formed through stir casting technique. The process parameters of the stir casting process are namely reinforcement %, stirring speed, time of stirring, and process temperature. The specimens were removed from the casted AZ61 magnesium alloy composites through the Wire Cut Electric Discharge Machining (WCEDM) process, the material removal rate and surface roughness vales were carried out creatively. L 16 orthogonal array (OA) was used for this work to find the material removal rate (MRR) and surface roughness. The process parameters of WCEDM are pulse on time (105, 110, 115 and 120 µs), pulse off time (40, 50, 60 and 70 µs), wire feed rate (2, 4, 6 and 8 m/min), and current (3, 6, 9 and 12 Amps). Further, this study aimed to estimate the maximum ultimate tensile strength and micro hardness of the reinforced composites using the Taguchi route.

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Multi-objective Optimization of Wire Electrical Discharge Machining Process Parameters for Al5083/7% $${\hbox {B}}_{4}{\hbox {C}}$$ B 4 C Composite Using Metaheuristic Techniques

Cited by 22 publications

References 21 publications

Modelling and optimizing performance parameters in the wire-electro discharge machining of Al5083/B4C composite by multi-objective response surface methodology

Modelling and optimizing performance parameters in the wire-electro discharge machining of Al5083/B4C composite by multi-objective response surface methodology

An experimental investigation for parametric appraisal of electrohydrodynamic-driven microfabrication approach using teaching and learning-based optimization

Synthesis and Characterization of Mechanical Properties and Wire Cut EDM Process Parameters Analysis in AZ61 Magnesium Alloy + B4C + SiC

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