Optimisation of electrochemical drilling process using Taguchi method and regression analysis

Manikandan, N.; Kumanan, S.; Sathiyanarayanan, C.

doi:10.1504/ijmmm.2017.082904

Cited by 6 publications

(4 citation statements)

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“…Mathematical models of Kf for both NCT and CT brass wires are presented in Eqs. (5) and (6). 1Cutting speed (NCT wire) = − 0.464 + (0.021 × SV)…”

Section: Kerf Widthmentioning

confidence: 99%

“…These properties attract the manufacturer to use HSLA steels, especially for biomedical, automotive, and aerospace industries [3]. Owing to excessive hardness, micro-alloyed HSLA steels are likely to machine with non-conventional machining processes like electric discharge machining (EDM), electric chemical machining (ECM), and water jet machining (WJM) [4][5][6]. At present, non-conventional machining processes are taking more attention due to less residual stresses, burr formation, and low tooling cost [7].…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective optimization of WEDM using cold treated brass wire for HSLA hardened steel

Tahir

Jahanzaib

2019

J Braz. Soc. Mech. Sci. Eng.

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The present study analyzed the effects of cold treated brass wire electrode for the machining of hardened high-strength low-alloy (HSLA) steel on wire electric discharge machine. Cold treatment of brass wire at − 70 °C for 24 h has refined its microstructure which results in an increase in electrical conductivity by 24.5%. The experimental work is designed using fractional factorial design to determine the relationship of input variables including servo voltage (SV), pulse on time (T on), pulse off time (T off), wire type (W t), wire tension (T w), and flushing pressure (F p) and response measures including cutting speed (CS), surface roughness (Ra), and kerf width (Kf). In W t , two kinds of brass wires including cold treated (CT) and non-cold treated (NCT) have been used. Empirical models for cutting speed (CS), surface roughness (Ra), and kerf width (Kf) are developed, and their contribution is analyzed through the analysis of variance (ANOVA) technique. Desirability function offers the best combination of input variables to maximize CS and minimize both Ra and Kf simultaneously. T on is observed as the most effective input variable for all response measures, followed by W t and T off. CT brass wire has been observed as the best alternative in multi-objective optimization.

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“…Mathematical models of Kf for both NCT and CT brass wires are presented in Eqs. (5) and (6). 1Cutting speed (NCT wire) = − 0.464 + (0.021 × SV)…”

Section: Kerf Widthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of WEDM using cold treated brass wire for HSLA hardened steel

Tahir

Jahanzaib

2019

J Braz. Soc. Mech. Sci. Eng.

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“…Taguchi's technique completely supports the trials of the measurable plan. This approach fulfills the advancement in the process and reduces the time needed for the experimental examination [26][27][28]. Various practitioners and researchers have used the DOE (design of experiments) and its upgradation to Taguchi's method to make a strategy for the experiments and also perform the optimization of the parameters for machining.…”

Section: Introductionmentioning

confidence: 99%

Effect of Wiper Edge Geometry on Machining Performance While Turning AISI 1045 Steel in Dry Conditions Using the VIKOR-ML Approach

et al. 2023

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AISI 1045 can be machined well in all machining operations, namely drilling, milling, turning, broaching and grinding. It has many applications, such as crankshafts, rollers, spindles, shafts, and gears. Wiper geometry has a great influence on cutting forces (Fr, Ff, Fc and R), temperature, material removal rate (MRR) and surface roughness (Ra). Wiper inserts are used to achieve good surface quality and avoid the need to buy a grinding machine. In this paper, an optimization-based investigation into previously reported results for Taguchi’s based L27 orthogonal array experimentations was conducted to further examine effect of the edge geometry on the turning performance of AISI 1045 steel in dry conditions. Three input parameters used in current research include the cutting speed (Vc), feed (f) and depth of cut (ap), while performance measures in this research were Ra, Fr, Ff, Fc, R, temperature (temp) and MRR. The Vise Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method was used to normalize and convert all the performance measures to a single response known as the VIKOR-based performance index (Vi). The machine learning (ML) approach was used for the prediction and optimization of the input variables. A correlation plot is developed between the input variable and Vi using the ML approach. The optimized setting suggested by Vi-ML is Vc: 160 m/min; ap: 1 mm and f: 0.135 mm/rev, and the corresponding value of Vi was 0.2883, while the predicted values of Ra, Fr, Ff, Fc, R, temp and MRR were 2.111 µm, 43.85 N, 159.33 N, 288.13 N, 332,16 N, 554.4 °C and 21,600 mm3/min, respectively.

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“…The optimal combinations of cutting parameters in the milling operation for minimal surface roughness were: cutting speed-90 m/min, feed rate-100 mm/min, and depth of cut-0.25mm. Manikandan et al [13] used Taguchi technique and regressional technique in optimization and prediction of the response behaviour in electrochemical drilling of Inconel 718 alloy. Cica et al [14] used Taguchi technique in optimization of the cutting factors in machining C45E steel bar with coated carbide tool using different cooling techniques.…”

Section: Introductionmentioning

confidence: 99%

Application of Taguchi’s Orthogonal Array and S/N Ratio on Surface Roughness Optimization

Rajbongshi

2023

KEM

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Surface finish plays an important role in making quality products in the manufacturing sector. A turning experiment is conducted by cutting tool of nose radii (1 mm and 0.65 mm) to find its influence on surface roughness. Eight experiments were performed with Taguchi’s Orthogonal Array (OA) technique. The prime objective was to investigate the tool nose radius effects in the prediction of the optimum value of surface roughness. Cutting speed (V), feed (F), depth of cut (D), and tool nose radius (NR) were selected for the experimental work having two levels each. To find out the influential parameters analysis of variance (ANOVA) was carried out. Signal to noise ratio and average performance graph was analyzed to obtain optimum response values. The results concluded that the large nose radius develops a superior finish in comparison to the smaller one.

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Optimisation of electrochemical drilling process using Taguchi method and regression analysis

Cited by 6 publications

References 0 publications

Multi-objective optimization of WEDM using cold treated brass wire for HSLA hardened steel

Multi-objective optimization of WEDM using cold treated brass wire for HSLA hardened steel

Effect of Wiper Edge Geometry on Machining Performance While Turning AISI 1045 Steel in Dry Conditions Using the VIKOR-ML Approach

Application of Taguchi’s Orthogonal Array and S/N Ratio on Surface Roughness Optimization

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