Optimization of Surface Roughness and MRR in Electrochemical Machining of EN31 Tool Steel Using Grey-taguchi Approach

Das, Milan Kumar; Kumar, Kaushik; Barman, Tapan Kumar; Sahoo, Prasanta

doi:10.1016/j.mspro.2014.07.089

Cited by 43 publications

(8 citation statements)

References 13 publications

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“…Analysis of variance is a statistically based decision-making tool used to detect any deviations in the mean performance of a group of items that have been tested. ANOVA compares the mean square against the estimate of the experimental errors at set confidence levels, thus aiding in the identification of significance of the main factors and their interactions in a study [ 47 , 48 ].

where n is the no.…”

Section: Analysis Of Variancementioning

confidence: 99%

Multiobjective Optimization of Heat-Treated Copper Tool Electrode on EMM Process Using Artificial Bee Colony (ABC) Algorithm

et al. 2022

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Electrochemical micromachining (EMM) is a plausible method for manufacturing high accuracy and precision microscale components in a broad range of materials. EMM is commonly utilized to manufacture turbine blades for automobiles and aircrafts. In this present study, the EMM process was performed with a heat-treated copper tool electrode on aluminum 8011 alloy. The process parameters such as voltage, concentration of electrolyte, frequency, and duty factor were varied to analyze the effect of a heat-treated electrode on material removal rate (MRR), overcut, conicity, and circularity. It was observed that high MRR was obtained with lower overcut with an annealed electrode. The better conicity and circularity were obtained with a quenched electrode compared to other heat-treated and untreated tool electrodes. The artificial bee’s colony (ABC) algorithm was used to identify the optimum parameters and, finally, the confirmation test was carried out to evaluate the error difference on the machining process. The optimum combination of input process parameters found using TOPSIS and ABC algorithm for the EMM process are voltage (14 V), electrolyte concentration (30 g/L), frequency (60 Hz), and duty cycle (33%) for the annealed tool electrode and voltage (14 V), electrolyte concentration (20 g/L), frequency (70 Hz), and duty cycle (33%) for the quenched tool electrode. It was confirmed that 95% of accurate response values were proven under the optimum parameter combination.

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where n is the no.…”

Section: Analysis Of Variancementioning

confidence: 99%

Multiobjective Optimization of Heat-Treated Copper Tool Electrode on EMM Process Using Artificial Bee Colony (ABC) Algorithm

et al. 2022

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“…Penelitian terhadap variabel ECM pada MRR dan Ra yang berbeda pada baja perkakas EN31 menggunakan teknik optimisasi multiresponse Taguchi dan Grey Relational Analysis (GRA) telah . Kesimpulan yang didapatkan yaitu bahwa konsentrasi elektrolit memiliki peranan penting dan berpengaruh pada respons MRR dan Ra (Das, Kumar, Barman, & Sahoo, 2014). Metode Taguchi dan gabungan metode neuro fuzzy-PCA digunakan dalam penentuan kombinasi parameter pemesinan ECM terhadap respon material removal rate (MRR), surface roughness (SR), dan radial overcut (ROC) (Sohrabpoor, Khanghah, Shahraki, & Teimouri, 2016).…”

Section: Pendahuluanunclassified

Optimasi Parameter Proses Pemesinan Ecm (Electrochemical Machining) Skala Laboratorium Dengan Metode Taguchi-Grey Relational Analysis (Gra)

Prayogo¹,

Lusi

2022

AME

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Pemesinan elektrokimia (ECM) adalah metode pemesinan non konvensional yang unik dalam proses pembentukan benda kerja untuk parameter optimal karena memeiliki keuntungan seperti tidak adanya keausan pada pahat (tool), sifat lapisan permukaan setelah pengerjaan mirip dengan bahan inti dan kualitas serta akurasi permukaan meningkat bersamaan dengan peningkatan laju pelepasan material. Keuntungan lain dari permesinan elektrokimia, yaitu tentang ekologi sehingga menciptakan minat industri dalam berbagai elemen manufaktur yang terbuat dari bahan dengan sifat khusus seperti pada pembuatan turbine blade. Dalam penelitian ini akan dilakukan eksperimen tentang optimasi parameter proses pemesinan ECM seperti voltage, konsentrasi jenis cairan elektrolit, dan gap width terhadap respon kekasaran permukaan dan material removal rate (MRR). Metode penelitian yang digunakan adalah metode multirespon dengan DOE (design of experiment) Taguchi dan Grey Relational Analysis (GRA). Hasil penelitian menunjuukan bahwa setting kombinasi variabel-variabel proses yang signifikan untuk memaksimalkan MRR dan meminimalkan kekasaran permukaan berdasarkan hasil optimasi dengan menggunakan metode Taguchi-GRA adalah kombinasi faktor voltage pada 48 Volt , konsentrasi elektrolit pada 150 g/l, dan gap width pada 2 mm. Variabel proses yang memiliki kontribusi terbesar terhadap variasi respon adalah yaitu voltage sebesar 65,18%, kemudian variable gap width sebesar 23,55%, dan kontribusi oleh konsentrasi elektrolit oleh adalah sebesar 11,22%.

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“…It showed improvement in grey relational grade at electrolyte concentration of 15%, voltage 10 V, feed rate 0.25 mm min −1 and inter-electrode gap 0.2 mm. Electrolyte concentration has the maximum influence on metal removal rate and surface roughness characteristics [21]. Central composite design of response surface methodology experimental plan is used to estimate MRR and SR of hardened steel using electrochemical machining.…”

Section: Multi Response Optimizationmentioning

confidence: 99%

Multi-response optimization of electrochemical micromachining on masked SS304

Deepak

Hariharan

2020

Eng. Res. Express

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This paper investigates on electrochemical micromachining of woven fabric masked stainless steel SS304 using 0.5 mm copper tool electrode with sodium nitrate (NaNO 3 ) Electrolyte. Investigation is carried out to express the performance measures of micro hole such as metal removal rate (MRR), taper angle (TA) and surface roughness (SR). The experimental plan is based on taguchi L16 orthogonal array. Various input process parameters such as voltage, duty ratio, rotational speed, feed rate of tool and electrolyte concentration are varied at four levels. Significant contributions by input process parameters for each output responses such as metal removal rate, taper angle and surface roughness are analysed using contour plots. It is evident that significant contribution to metal removal rate mainly depends on rotational Speed and feed rate of tool. Similarly, duty ratio and feed rate of tool are the significant contributors for both taper angle and surface roughness. Multi response optimization are done for the three output responses using VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to identify the significant process parameter. Performance score of VIKOR and TOPSIS proved that rotational speed of tool, feed rate and duty ratio are important parameters contributing significantly for precision of microfeatures. Both the multi response optimisation methods mutually concluded the best performance is achieved at voltage 21 V, duty ratio 80%, rotational speed of tool 600 rpm, feed rate of tool 0.8 μm s −1 and electrolyte concentration 0.2 M. The confirmation test showed an improvement of performance grade by approximately 0.245.

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Optimization of Surface Roughness and MRR in Electrochemical Machining of EN31 Tool Steel Using Grey-taguchi Approach

Cited by 43 publications

References 13 publications

Multiobjective Optimization of Heat-Treated Copper Tool Electrode on EMM Process Using Artificial Bee Colony (ABC) Algorithm

Multiobjective Optimization of Heat-Treated Copper Tool Electrode on EMM Process Using Artificial Bee Colony (ABC) Algorithm

Optimasi Parameter Proses Pemesinan Ecm (Electrochemical Machining) Skala Laboratorium Dengan Metode Taguchi-Grey Relational Analysis (Gra)

Multi-response optimization of electrochemical micromachining on masked SS304

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