Multi-objective optimization of surface roughness, thrust force, and torque produced by novel drill geometries using Taguchi-based GRA

Meral, Güven; Sarıkaya, Murat; Mia, Mozammel; Dilipak, Hakan; Şeker, Ulvi; Gupta, Munish Kumar

doi:10.1007/s00170-018-3061-z

Cited by 42 publications

(42 citation statements)

References 33 publications

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“…The inter-factorial effect degree is called the "gray relational grade" (GRG) [54]. In the AWJ drilling of the M1, M2, and M3 CFRP composites with pilot holes, the following GRA steps were applied for K and Re minimization [54][55][56].…”

Section: Multi-objective Optimization Via Taguchi-based Gray Relationmentioning

confidence: 99%

“…Since the factors come from different sources and are measured in different units, all data had to be converted into the same unit system, i.e., normalized. Data were reduced to within a certain range (0 ≤ Zi ≤ 1) using the normalization process [55,56]. In the present work, the "smaller is better" normalization approach was used as the aim was to achieve minimum responses.…”

Section: Multi-objective Optimization Via Taguchi-based Gray Relationmentioning

confidence: 99%

“…In the present work, the "smaller is better" normalization approach was used as the aim was to achieve minimum responses. Equation 4was used for this approach, as expressed below [55]:…”

Section: Multi-objective Optimization Via Taguchi-based Gray Relationmentioning

confidence: 99%

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Optimization of machining parameters for kerf angle and roundness error in abrasive water jet drilling of CFRP composites with different fiber orientation angles

Karataş

Motorcu

Gökkaya

2020

J Braz. Soc. Mech. Sci. Eng.

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In this study, carbon fiber-reinforced polymer (CFRP) composites with three different fiber orientation angles (M1: [0°/90°] s , M2: [+ 45°/− 45°] s , and M3: [0°/45°/90°/− 45°] s) were drilled (with and without pilot holes) on an abrasive water jet (AWJ) machine and the effect of the drilling parameters on the kerf angle (K) and roundness error (Re) of selected holes was investigated to determine quality characteristics. The first aim of the study was the single-objective optimization of drilling parameters for minimum K and Re individually. The second aim was the multi-objective optimization of drilling parameters for the simultaneous minimization of both K and Re. The Taguchi method was applied for single-objective optimization, while all steps of the Taguchi-based gray relational analysis were used for multi-objective optimization. Drilling experiments were performed using the L16 (4 4) orthogonal array. Four levels each for water pressure, stand-off distance, traverse feed rate, and hole diameter were selected as control factors. Analysis of experimental findings revealed that pilot drilling improved the kerf angle of the hole by 12.4% and the roundness error by 22.87%. Minimum kerf angle and roundness error were realized in the AWJ drilling of the M3 CFRP. The most effective parameter on kerf angle and roundness error in AWJ drilling of M1, M2, and M3 CFRP materials was water pressure (80.6%, 76.9%, and 73.8%, respectively), followed by stand-off distance (11.7%, 12.0%, and 13.5%),while other drilling parameters remained below 10%. The statistical evaluation and optimization results in this study can contribute to the evaluation of the AWJ machinability of CFRP composites.

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Section: Multi-objective Optimization Via Taguchi-based Gray Relationmentioning

confidence: 99%

Section: Multi-objective Optimization Via Taguchi-based Gray Relationmentioning

confidence: 99%

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Optimization of machining parameters for kerf angle and roundness error in abrasive water jet drilling of CFRP composites with different fiber orientation angles

Karataş

Motorcu

Gökkaya

2020

J Braz. Soc. Mech. Sci. Eng.

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“…Boral and Chakraborty [17] developed case-base reasoning system for machine tool selection and for nontraditional machining process selection. Sarikaya et al developed a multi-objective optimization model for the selection of micro-electrical discharge drilling of AISI 304 stainless steel using S/N, RSM, RA and ANN method [18][19][20]. Chatterjee et al proposed a novel hybrid model encompassing factor relationship (FARE) and MABAC (multi-attributed border approximation area comparison) method for selection and evaluation of non-conventional machining [21,22].…”

Section: Introductionmentioning

confidence: 99%

Application of ANFIS and GRA for multi-objective optimization of optimal wire-EDM parameters while machining Ti–6Al–4V alloy

Kumar

Dhanabalan²,

Narayanan

2019

SN Appl. Sci.

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The applications of artificial intelligence (AI) mainly, the hybrid approaches are becoming more popular and the relevant researches have been conducted in every field of engineering and science by using these AI techniques. Therefore, this research aims to examine the influence of wire electric-discharge machining parameters on performance parameters to improve the productivity with a higher surface finish of Titanium alloy (Ti-6Al-4V) by using the artificial intelligent technique. In this experimental analysis, the adaptive network based fuzzy inference system (ANFIS) model has been highly-developed and the multi-parametric optimization has been done to find the optimal solution for the machining of titanium superalloy. The peak current (I p), taper angle, pulse on time (T on), pulse of time (T off) and the dielectric fluid flow rate had selected as operation constraints to conduct experimental trials. The surface roughness and MRR were considered as output responses. The influence on machining performance has been analyzed by the ANFIS model and the developed model was validated with the full factorial regression models. The developed models showed the minimum mean percentage error and the optimized parameters by the GRA method showed the considerable improvement in the process.

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“…The authors concluded that discharge current had the most significance on performance parameters. Guren Meral et al [27] statistically optimized the Ra value, torque and thrust force for two drill geometries on AISI-4140 using Taguchi based GRA method.…”

Section: Introductionmentioning

confidence: 99%

Influence on machinability and form tolerance of Inconel 718 in Edm using different diameter multi hole Cu electrodes

Kumar

Dhanabalan²

2019

SN Appl. Sci.

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This research aims to examine the machinability and form tolerances in die sinking EDM for Ni-based superalloy with different diameter internally engraved hole of the multi-hole copper electrode. Manufacturing of superalloys with close tolerances is becoming a major area for primary research in defence and aerospace industries due to their particular characteristics. Therefore, this work focuses on an experimental analysis to improve the productivity and Material Removal Rate of Inconel-718 with close tolerances. The most dominating process constraints, viz. hole diameter of Multi-hole electrode (D), Peak current (I p ), Pulse on Time (T on ) and dielectric fluid pressure were selected as process constraints to conduct experimental trials. The Material Removal Rate, EWR and form tolerances were considered as output responses. The experimental outcomes were optimized by Taguchi analysis and multi-parametric optimization method GRA. A Fuzzy logic model using Matlab was developed for the prediction of performance parameters, namely MRR, EWR, circularity and cylindricity with respect to changes in input parameters. Three MF's ('Trimf-triangular membership functions') were allocated to each input response, whereas five MF's were allocated to output responses. The Fuzzy model shows the 94.01% accuracy between the experimental values and the predicted values. From the results, it is concluded that the use of a multi-hole electrode leads to a higher rate of MRR. Moreover, the form tolerance deviation improves with the increment of T on value. The optimized parameters showed a considerable improvement in the process and will facilitate the aerospace and defence industries to improve the productivity of Inconel-718 with close tolerance.

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Multi-objective optimization of surface roughness, thrust force, and torque produced by novel drill geometries using Taguchi-based GRA

Cited by 42 publications

References 33 publications

Optimization of machining parameters for kerf angle and roundness error in abrasive water jet drilling of CFRP composites with different fiber orientation angles

Optimization of machining parameters for kerf angle and roundness error in abrasive water jet drilling of CFRP composites with different fiber orientation angles

Application of ANFIS and GRA for multi-objective optimization of optimal wire-EDM parameters while machining Ti–6Al–4V alloy

Influence on machinability and form tolerance of Inconel 718 in Edm using different diameter multi hole Cu electrodes

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