Electrochemical micro-machining of hybrid graphene/silicon nitride-reinforced magnesium composite through integrated Entropy-COPRAS approach

Preethi, V.; Kavimani, V.; Gopal, P. M.

doi:10.1007/s41939-023-00258-6

Multiscale and Multidiscip. Model. Exp. and Des.

2023

DOI: 10.1007/s41939-023-00258-6

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Electrochemical micro-machining of hybrid graphene/silicon nitride-reinforced magnesium composite through integrated Entropy-COPRAS approach

V. Preethi,

V. Kavimani,

P. M. Gopal

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2024

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Cited by 3 publications

References 36 publications

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Optimization of wire-cut EDM parameters using Taguchi and entropy coupled COPRAS approach for machining of CRT glass powder reinforced magnesium surface composite developed using friction stir processing

Gopal,

Kavimani,

Sudhagar

et al. 2024

Int J Interact Des Manuf

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Optimization of wire-cut EDM parameters using Taguchi and entropy coupled COPRAS approach for machining of CRT glass powder reinforced magnesium surface composite developed using friction stir processing

Gopal,

Kavimani,

Sudhagar

et al. 2024

Int J Interact Des Manuf

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Experimental examination on electrochemical micro-machining of Mg–Li–Sr biomedical alloy: Application of ANOVA, Deng’s similarity, and ANFIS for effective modeling optimization

Kavimani,

Gopal,

Sivamaran

et al. 2024

AIP Advances

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In this work, a newly discovered biomedical grade Magnesium–Lithium–Strontium (Mg–Li–Sr) alloy is machined using electrochemical machining technology. Two main output constraints employed on the research project to evaluate machinability are surface roughness (Ra) and material removal rate (MRR). Changing feed rate (FR), current, electrolyte concentration (EC), and voltage is required in order to carry out experimental experiments. The trials were designed using the Taguchi method. The ANOVA findings show that current is the most significant factor, after voltage as the most significant input parameter in regulating Ra and MRR. The ideal parameter configuration for the CRITIC-linked Deng’s similarity approach method was 5 V, 1 A of current, 0.4 mm/min of FR, and 20 g/l of EC. The final product was a 0.0323 mm/min MRR and a 2.61 μm surface roughness. Furthermore, the response variables are anticipated using the adaptive neuro-fuzzy Inference System, which finally results in predictions that are very similar to the experimental results.

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Experimental examination on electrochemical machining of Mg/FeCoCrNiMn composite

Gopal,

Kavimani,

Arun Kumar

2024

Materials and Manufacturing Processes

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Electrochemical micro-machining of hybrid graphene/silicon nitride-reinforced magnesium composite through integrated Entropy-COPRAS approach

Cited by 3 publications

References 36 publications

Optimization of wire-cut EDM parameters using Taguchi and entropy coupled COPRAS approach for machining of CRT glass powder reinforced magnesium surface composite developed using friction stir processing

Optimization of wire-cut EDM parameters using Taguchi and entropy coupled COPRAS approach for machining of CRT glass powder reinforced magnesium surface composite developed using friction stir processing

Experimental examination on electrochemical micro-machining of Mg–Li–Sr biomedical alloy: Application of ANOVA, Deng’s similarity, and ANFIS for effective modeling optimization

Experimental examination on electrochemical machining of Mg/FeCoCrNiMn composite

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