Applications of Taguchi technique with fuzzy logic to optimise an electrochemical micromachining process

Thanigaivelan, R.; Arunachalam, R. M.; Jerald, Jason; Niranjan, T.

doi:10.1504/ijedpo.2011.043565

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…Fuzzy logic system (Mamdani system) comprises of a fuzzifier, membership functions, a fuzzy rule base, an inference engine, and defuzzifier. Fuzzifier is used to convert the crisp values into values with membership function [13]. The membership function is a graphical representation of the magnitude of participation of each input.…”

Section: Proposed Taguchi Coupled Fuzzy Logic Methodologymentioning

confidence: 99%

Optimization of Surface Roughness Parameters of Al-6351 Alloy in EDC Process: A Taguchi Coupled Fuzzy Logic Approach

Kar

Chakraborty

Dey

et al. 2016

J. Inst. Eng. India Ser. C

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This paper investigates the application of Taguchi method with fuzzy logic for multi objective optimization of roughness parameters in electro discharge coating process of Al-6351 alloy with powder metallurgical compacted SiC/Cu tool. A Taguchi L16 orthogonal array was employed to investigate the roughness parameters by varying tool parameters like composition and compaction load and electro discharge machining parameters like pulse-on time and peak current. Crucial roughness parameters like Centre line average roughness, Average maximum height of the profile and Mean spacing of local peaks of the profile were measured on the coated specimen. The signal to noise ratios were fuzzified to optimize the roughness parameters through a single comprehensive output measure (COM). Best COM obtained with lower values of compaction load, pulse-on time and current and 30:70 (SiC:Cu) composition of tool. Analysis of variance is carried out and a significant COM model is observed with peak current yielding highest contribution followed by pulse-on time, compaction load and composition. The deposited layer is characterised by X-Ray Diffraction analysis which confirmed the presence of tool materials on the work piece surface.

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Section: Proposed Taguchi Coupled Fuzzy Logic Methodologymentioning

confidence: 99%

Optimization of Surface Roughness Parameters of Al-6351 Alloy in EDC Process: A Taguchi Coupled Fuzzy Logic Approach

Kar

Chakraborty

Dey

et al. 2016

J. Inst. Eng. India Ser. C

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“…The S/N ratio shows how consistently a process or product performs in the presence of noise factors. Depending on the type of performance, Taguchi divided a system's performance characteristics into three categories according to [15]: 1) the nominal-the best; 2) the lower-the-better; and 3) the higher-the-better respectively. The least amount of weight loss and corrosion rate are required to get the best corrosion inhibition performance.…”

Section: Taguchi Design Of Experimentsmentioning

confidence: 99%

EFFECT OF PROCESS VARIABLES ON THE CORROSION INHIBITION PERFORMANCE OF AGERATUM CONYZOIDES ON STRUCTURAL STEEL IN HCl – FUZZY LOGIC APPROACH

Afabor,

Omotor,

Onwusa

et al. 2024

UJEES

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The aim of this study is to optimize the process variables to achieve a more efficient Ageratum Conyzoides extract (ACE) inhibitive performance on structural steel in 1 M HCl acid, using the integrated Taguchi-fuzzy logic technique. Optimization of multiple performance characteristics of weight and corrosion rate; was achieved via a multiple response performance index (MRPI) from corrosion inhibition parameters of inhibitor concentration, temperature and exposure time. The predictive model determined that the setting of inhibitor concentration of 2 g/cm3, temperature of 30oC and exposure time of 2 days were the optimal setting for maximum inhibitive corrosion performance. The optimal setting was verified and validated by a confirmatory experiment, indicating a significant improvement of 0.634 in the actual MRPI value when the integrated Taguchi-Fuzzy logic optimization model was employed.

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“…ANOVA test are useful for comparing three or more groups/ variables for statistical significance. Formulae for ANOVA is as follows [19]:…”

Section: Characteristics Of Anovamentioning

confidence: 99%

“…Therefore, SST= SSG+ SSE Moreover, the F-test named after fisher is also used to find out which factor have a major contribution on the performance characteristics [19]. Generally, the change of the process parameter has a notable effect on the performance measure when the F-value is large.…”

Section: Characteristics Of Anovamentioning

confidence: 99%

Production of Aluminum 6063 Metal Matrix Composite with 12% Magnesium Oxide and 5% Graphite and its Machinability Studies using Micro Electrochemical Machining

Babu¹,

Sabarinathan²,

Dharmalingam³

2020

JNMES

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Hybrid Aluminum Metal Matrix Composites (AMMCs) are finding application in aerospace and automobile industries for its light weight. In this research hybrid AMMCs with 12% magnesium oxide (MgO) and 5% graphite (Gr) were fabricated and mechanical properties were studied. The compressive strength, bending stress frictional force, impact strength are found to be 292.94 N.mm-2 , 1.31 N.mm-2 , 11.3 N (maximum) J.m-2 = 0.4x10 5 respectively. Moreover the highest hardness values are obtained during Brinell and Rockwell testing's 127.23 BHN, 59 HRB respectively. Machinability studies using micro electrochemical machining (micro ECM) is performed on the hybrid AMMCs by varying the voltage, electrolyte concentration, duty cycle and electrolyte temperature. L9 Orthogonal array (OA) is conducted and the experimental results are analyzed using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Based on the TOPSIS analysis the optimal combination for the higher MRR and lesser OC is 9 V,25 gm.L-1 ,80 % duty cycle and 35º C electrolyte temperature (A2B2C3D1). Analysis of Variance (ANOVA) shows that the duty cycle is the most significant factor followed by voltage and electrolyte temperature for higher material removal rate (MRR) and lower overcut (OC).

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Applications of Taguchi technique with fuzzy logic to optimise an electrochemical micromachining process

Cited by 7 publications

References 18 publications

Optimization of Surface Roughness Parameters of Al-6351 Alloy in EDC Process: A Taguchi Coupled Fuzzy Logic Approach

Optimization of Surface Roughness Parameters of Al-6351 Alloy in EDC Process: A Taguchi Coupled Fuzzy Logic Approach

EFFECT OF PROCESS VARIABLES ON THE CORROSION INHIBITION PERFORMANCE OF AGERATUM CONYZOIDES ON STRUCTURAL STEEL IN HCl – FUZZY LOGIC APPROACH

Production of Aluminum 6063 Metal Matrix Composite with 12% Magnesium Oxide and 5% Graphite and its Machinability Studies using Micro Electrochemical Machining

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