Application of Taguchi coupled Fuzzy Multi Attribute Decision Making (FMADM) for optimizing surface quality in turning austenitic and duplex stainless steels

Koyee, Rastee D.; Eisseler, Rocco; Schmauder, Siegfried

doi:10.1016/j.measurement.2014.09.015

Cited by 32 publications

(17 citation statements)

References 16 publications

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“…Taguchi used a design of orthogonal arrays to investigate the whole of the main parameter by only carrying out a small number of experimental trials. To minimize the variations in the quality of output, Taguchi processed the repetition results into another value that consisted of the calculation of the signal-to-noise (S/N) ratio that integrates several repetitions into one performance measure that represents the amount of variation that occurs [29,32]. The highest S/N ratio simultaneously reduces the effect of noise and optimizes the response [33,34].…”

Section: Experimental Designmentioning

confidence: 99%

Electropolishing Parametric Optimization of Surface Quality for the Fabrication of a Titanium Microchannel Using the Taguchi Method

Mahardika

Setyawan

Sriani³

et al. 2021

Machines

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Titanium is widely used in biomedical components. As a promising advanced manufacturing process, electropolishing (EP) has advantages in polishing the machined surfaces of material that is hard and difficult to cut. This paper presents the fabrication of a titanium microchannel using the EP process. The Taguchi method was adopted to determine the optimal process parameters by which to obtain high surface quality using an L9 orthogonal array. The Pareto analysis of variance was utilized to analyze the three machining process parameters: applied voltage, concentration of ethanol in an electrolyte solution, and machining gap. In vitro experiments were conducted to investigate the fouling effect of blood on the microchannel. The result shows that an applied voltage of 20 V, an ethanol concentration of 20 vol.%, and a machining gap of 10 mm are the optimum machining parameters by which to enhance the surface quality of a titanium microchannel. Under the optimized machining parameters, the surface quality improved from 1.46 to 0.22 μm. Moreover, the adhesion of blood on the surface during the fouling experiment was significantly decreased, thus confirming the effectiveness of the proposed method.

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Section: Experimental Designmentioning

confidence: 99%

Electropolishing Parametric Optimization of Surface Quality for the Fabrication of a Titanium Microchannel Using the Taguchi Method

Mahardika

Setyawan

Sriani³

et al. 2021

Machines

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show abstract

“…The prediction error accounts from -4.07 to 0.55% for surface roughness and -2.47 to 2.52% for cutting force. Koyee [10] coupled Taguchi approach with fuzzy-multiple attribute decision-making methods for achieving better surface quality in constant cutting speed face turning of EN 1.4404 austenitic, EN 1.4462 standard duplex and EN 1.4410 super duplex stainless steels. Two typical multiple attribute decision making techniques were simultaneously adopted to determine multi-surface quality characteristics indices.…”

Section: Literature Overviewmentioning

confidence: 99%

Surface roughness modelling in super duplex stainless steel turning

Veić

Jozić

Bajić

2019

IJEM

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Super duplex stainless steels are alloys that have good corrosion resistance properties and are intended for applications in corrosive environments. Due to their chemical composition and microstructure providing high strength and thermal resistance as well as high ductility, the machinability of these alloys is difficult, resulting in longer production cycles and higher costs in terms of more frequent replacement of tools. In this paper, the machinability of the super duplex EN 1.4410 was investigated under environmentally friendly machining process by using cold compressed air as a coolant. Experimental data were generated using the range of selected input parameters and correspondingly analysed surface roughness as output data. Predictive models were developed in order to make a comparison of their prediction performance. In addition, this paper also describes the methodology for optimised development of a particular predictive model. Finally, comparative analysis of the accuracy of predictive models was performed in order to define which model represents the best fit for the analysed experimental data, and also to show validity of the optimisation process.

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“…To overcome these problems, the machining process should be employed to increase the better surface finish and functionality features. Amongst numerous machining processes, the dry slot milling process possesses various advantages such as the prevention of usage of hazardous liquids in an environment and machining economics [1][2][3][4]. Velchev et al inveterate that while machining the cutter material and its coated substance play an important influence in energy requirement when machining constraints such as cutting feed, cutting speed, and so on are variant [5].…”

Section: Introductionmentioning

confidence: 99%

Impact of radial rake angle and machining constraints on the machining behavior and functionality of additive manufactured inconel 718 alloy

Gowthaman

2023

Eng. Res. Express

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The Additive manufactured (direct metal laser sintering) samples has shown greater surface roughness which leads to reduce the functionality of the components. Additionally, the cutting force requirement and obtainable surface finish show the vigorous role during the slot milling process of many materials. In this study, the slot milling process has been conducted on the Additive Manufactured (AM) Inconel 718 alloy under numerous cutter nomenclature such as −7°, 0° and +7° in radial rake angle and machining circumstances such as a cutting feed (5, 15, and 25 mm min−1) and cutting speed (14.13, 28.26, and 42.39 m min−1) to analyze its impact on the cutting force requirement and surface roughness of AM Inconel 718 alloy through TOPSIS statistical tool. Through the above analyses, it is found that the cutter nomenclature plays a vigorous role in the cutting force requirement and obtainable surface roughness followed by the cutting feed and cutting speed, owed to the establishment of moderate strain strengthening and thermal soothing effect.

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Application of Taguchi coupled Fuzzy Multi Attribute Decision Making (FMADM) for optimizing surface quality in turning austenitic and duplex stainless steels

Cited by 32 publications

References 16 publications

Electropolishing Parametric Optimization of Surface Quality for the Fabrication of a Titanium Microchannel Using the Taguchi Method

Electropolishing Parametric Optimization of Surface Quality for the Fabrication of a Titanium Microchannel Using the Taguchi Method

Surface roughness modelling in super duplex stainless steel turning

Impact of radial rake angle and machining constraints on the machining behavior and functionality of additive manufactured inconel 718 alloy

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