Multi-objective optimization of Nd:YAG laser cutting of thin superalloy sheet using grey relational analysis with entropy measurement

Rao, R. Raghavendra; Yadava, Vinod

doi:10.1016/j.optlastec.2009.03.008

Cited by 160 publications

(77 citation statements)

References 9 publications

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“…AHP decomposes a decision-making problem into a system of hierarchies of objectives, attributes (or criteria), and alternatives [18]. The AHP method is based on the pairwise comparisons to derive both weighting factors and comparative scores.…”

Section: Determining the Weighting Factors Using The Ahp Methodsmentioning

confidence: 99%

“…The second approach is based on the integration of the Taguchi method (TM) with grey relational analysis, principal component analysis, weighted sum method and fuzzy logic [7,8,11,16,17,18,19,20,21]. The integration of the TM without formulation of any kind of model is an attractive alternative, relatively simple and efficient and became very popular.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel

et al. 2015

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Original scientific paper In this paper, multi-objective optimization of the cut quality characteristics in CO2 laser cutting of AISI 304 stainless steel was discussed. Three mathematical models for the prediction of cut quality characteristics such as surface roughness, kerf width and heat affected zone were developed using the artificial neural networks (ANNs). The laser cutting experiment was planned and conducted according to the Taguchi's L27 orthogonal array and the experimental data were used to train single hidden layer ANNs using the Levenberg-Marquardt algorithm. The ANN mathematical models were developed considering laser power, cutting speed, assist gas pressure, and focus position as the input parameters. Multi-objective optimization problem was formulated using the weighting sum method in which the weighting factors that are used to combine cut quality characteristics into the single objective function were determined using the analytic hierarchy process method. Keywords: analytic hierarchy process; artificial neural networks; CO2 laser cutting; cut quality characteristics; genetic algorithm; multi-objective optimization Višekriterijska optimizacija karakteristika kvalitete reza kod CO2 laserskog rezanja nehrđajućeg čelikaIzvorni znanstveni članak U ovom je radu predstavljena metodologija višekriterijske optimizacije karakteristika kvalitete reza kod CO2 laserskog rezanja AISI 304 nehrđajućeg čelika (korozijski postojanog čelika). Za predviđanje karakteristika kvalitete reza kao što su hrapavost površine reza, širina reza i zona utjecaja topline, kreirani su matematički modeli pomoću umjetnih neuronskih mreža. Eksperiment laserskog rezanja je planiran i izveden prema Taguchijevom L27 ortogonalnom nizu, a eksperimentalni podaci su korišteni za treniranje umjetnih neuronskih mreža pomoću Levenberg-Marquardtovog algoritma. Matematički modeli umjetnih neuronskih mreža su kreirani uzimajući u obzir snagu lasera, brzinu rezanja, tlak pomoćnog plina i položaj fokusa kao ulazne parametre. Problem

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Section: Determining the Weighting Factors Using The Ahp Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel

et al. 2015

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“…After selecting the optimal level of wire EDM parameters for maximizing the grey relational grade, the estimated grey relational grade can be calculated by using the following mathematical expression (15) Where total mean of grey relational grade, mean of grey relational grade at the optimum level, and p = number of wire EDM parameters that significantly affect the multiple performance characteristics.…”

Section: Confirmation Testmentioning

confidence: 99%

“…For solving this problem a new approach called grey entropy was introduced. R. Rao et al [15] and A. Sharma et al [16] performed the multi objective optimization using grey relational analysis with entropy measurement. It was concluded that significant improvement in performance characteristics was obtained in both the cases.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization for Wire Edm of Wc-Co Composite Using Gra With Entropy Measurement

2015

International Conference on Advancements and Recent Innovations in Mechanical, Production and Industrial Engineering

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Abstract-Selection of machining conditions for improved performance characteristics has great importance during wire EDM, because numerous control factors contribute during machining. In the present study an attempt has been made to find the optimal machining conditions for multi performance characteristics simultaneously by applying grey relational analysis using entropy measurement for which Taguchi based L9 orthogonal array has been used for conducting experiments. The performance characteristics considered are cutting rate and surface roughness. Peak current, pulse on time, pulse off time and wire feed rate are considered as input parameters. Optimal machining conditions obtained are peak current at 200 A, pulse on time at 18 µs, pulse off time at 40 µs and wire feed rate at 7 m/min.The predicted results have been verified by conducting confirmation experiments.

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“…The open literature reveals that most of the applications of the TM consider optimization of kerf quality characteristics, material removal rate and surface roughness in Nd:YAG laser cutting [2,4,6,9]. Reviewing the literature it was found that most of the experimental studies applied the TM for optimization of multi-quality characteristics by using the grey relational analysis.…”

Section: Introductionmentioning

confidence: 99%

Selection of Near Optimal Laser Cutting Parameters in CO2 Laser Cutting by the Taguchi Method

Madić¹,

Radovanović²,

Gostimirović³

2013

TransVSBms

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Identification of laser cutting conditions that are insensitive to parameter variations and noise is of great importance. This paper demonstrates the application of Taguchi method for optimization of surface roughness in CO 2 laser cutting of stainless steel. The laser cutting experiment was planned and conducted according to the Taguchi's experimental design using the L 27 orthogonal array. Four laser cutting parameters such as laser power, cutting speed, assist gas pressure, and focus position were considered in the experiment. Using the analysis of means and analysis of variance, the significant laser cutting parameters were identified, and subsequently the optimal combination of laser cutting parameter levels was determined. The results showed that the cutting speed is the most significant parameter affecting the surface roughness whereas the influence of the assist gas pressure can be neglected. It was observed, however, that interaction effects have predominant influence over the main effects on the surface roughness. AbstraktIdentifikace podmínek řezání laserem, které jsou citlivé na změny parametrů a hluk jsou velmi důležité. Tento článek demonstruje použití Taguchi metody pro optimalizaci drsnosti povrchu v CO2 laserové řezání nerezové oceli. Experiment řezání laserem byl naplánován a proveden v souladu s Taguchiho experimentálním návrhem pomocí ortogonálního pole L 27 . V experimentu byly uvažovány čtyři parametry řezání laserem jako síla laseru, rychlost řezání, tlak plynu a zaměření pozice.

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Multi-objective optimization of Nd:YAG laser cutting of thin superalloy sheet using grey relational analysis with entropy measurement

Cited by 160 publications

References 9 publications

Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel

Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel

Multiobjective Optimization for Wire Edm of Wc-Co Composite Using Gra With Entropy Measurement

Selection of Near Optimal Laser Cutting Parameters in CO2 Laser Cutting by the Taguchi Method

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