Multiple performance optimization of electrochemical drilling of Inconel 625 using Taguchi based Grey Relational Analysis

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

doi:10.1016/j.jestch.2016.12.002

Cited by 53 publications

(28 citation statements)

References 13 publications

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“…Previous studies investigated the effect of cutting parameters, tool coating, tool geometry, and coolants on hole perpendicularity error for a variety of metallic materials such as steel, aluminum, and titanium alloys [37][38][39][40][41][42][43][44][45][46] and composite materials [36,47]. The studies found that three most significant variables on hole perpendicularity error were cutting speed, feed rate, and depth of cut [40][41][42][48][49][50]. Other studies reported that the application of machining coolants did not have an influence on the hole dimensional and positional accuracy such as its perpendicularity error and cylindricity expect for certain cases, which was mainly attributed to the size and type of cutting tool used [40].…”

Section: Introductionmentioning

confidence: 99%

The effect of drilling parameters, cooling technology, and fiber orientation on hole perpendicularity error in fiber metal laminates

Giasin

2018

Int J Adv Manuf Technol

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Conventional twist drilling is a widely used machining process for creating holes in aerospace and automobile structures. Drilling at room temperature can sometime affect the quality of machined holes due to increased thermal effects on the workpiece. Thermal effects can be a cumbersome when machining composites and fiber metal laminates due to their different thermal expansion coefficients, which may introduce additional stress in the structure. Thermal machining effects can be minimized using coolants supplied either directly or indirectly to the cutting tool-workpiece interaction zone, to remove away part of the generated heat. The use of coolants adds extra costs for handling, disposal, and environmental impact. Therefore, environmentally friendly cooling technologies are replacing conventional cooling methods to reduce costs and impact on the environment. In addition, the selection of machining parameters has great influence on the hole quality. This paper investigates the impact of drilling parameters and two modern cooling technologies namely cryogenic liquid nitrogen and minimum quantity lubrication on the hole perpendicularity error of fiber metal laminates commercially known as GLARE® (Glass Laminate Aluminum Reinforced Epoxy). It was also found that applying cryogenic liquid nitrogen or minimum quantity lubrication does not lead to an improvement in hole perpendicularity error in GLARE® laminates.

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Section: Introductionmentioning

confidence: 99%

The effect of drilling parameters, cooling technology, and fiber orientation on hole perpendicularity error in fiber metal laminates

Giasin

2018

Int J Adv Manuf Technol

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“…Firstly, the grey relational analysis is a measurement method to determine the degree of approximation among the sequences with the help of grey relational grade (GRG). It can create discrete sequences for the correlation analysis of such sequences with processing uncertainty, multi-factors and discrete data [16,17]. Secondly, the response surface method is a collection of powerful mathematical and statistical methods for developing and optimizing models.…”

Section: Multi-objective Optimization Methodsmentioning

confidence: 99%

Multi-Objective Parameter Optimization for Disc Milling Process of Titanium Alloy Blisk Channels

Shi

2019

Symmetry

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The blisk has been widely used in modern high performance aero-engines of high thrust-weight ratio. Disc milling process provides a reliable way to improve the efficiency of the blisk milling. The process parameters of disc milling have crucial effects on the milling efficiency and physical property of blisk. In this paper, material removal rate, cutter life and thickness of residual stress layer are regarded as optimization targets the key process parameters such as spindle speed, cutting depth and feed speed are optimized. Based on the grey relational analysis, the multi-objective optimization problem is transformed into a single objective optimization problem. At the same time, the problem of non-symmetry influence of key process parameters on optimization targets can be solved. And the influence weight of material removal rate, cutter life and thickness of residual stress layer on the grey relational grade (GRG) are calculated according to principal component analysis. The second order prediction model of GRA is developed by response surface method. On the basis of verifying the accuracy of the model, the influence mechanism of the process parameters coupling on the gray correlation degree is analyzed the optimal process parameter combination is obtained as spindle speed with 81.92 rpm, cutting depth with 5.88 mm and feed rate with 66.0823 mm/min. The experimental research show that the optimal process parameter combination can effectively improve the material removal rate and cutter life and reduce the thickness of residual stress layer.

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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%

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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Multiple performance optimization of electrochemical drilling of Inconel 625 using Taguchi based Grey Relational Analysis

Cited by 53 publications

References 13 publications

The effect of drilling parameters, cooling technology, and fiber orientation on hole perpendicularity error in fiber metal laminates

The effect of drilling parameters, cooling technology, and fiber orientation on hole perpendicularity error in fiber metal laminates

Multi-Objective Parameter Optimization for Disc Milling Process of Titanium Alloy Blisk Channels

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

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