Single and multiobjective optimization of Inconel 718 nickel-based superalloy in the wire electrical discharge machining

Yang, Ching-Been; Lin, C.I.; Chiang, Hsiu-Lu; Chen, Chein-Chung

doi:10.1007/s00170-017-0758-3

Cited by 35 publications

(16 citation statements)

References 11 publications

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“…As mentioned in the response table, the Taguchi method gives the rank of individual parameter and optimal level can also be determined from the response graph for respective quality characteristics. Since the quality characteristics are the lower the better type of characteristics, the maximum S/N ratio gives the optimum level for setting of process parameters [30,31]. But the Taguchi method cannot judge and determine the effect of individual process parameters on the entire process.…”

Section: Experimentationmentioning

confidence: 99%

“…Before accepting predicted optimum condition, it is essential that the predicted performance at the optimum be confirmed by running a number of samples in that condition. To confirm predicted performance, mean (average) of the actual test results is compared with the confidence interval calculated for the expected performance [7,30].…”

Section: Confirmation Experimentsmentioning

confidence: 99%

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Optimization of Essential Parameters in Green Sand Process to Minimize Persisting Casting Defects Using Taguchi Approach

Aloni¹

2019

JESTR

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The main objective of the work presented in this paper is the identification of most influential parameters of green sand casting process that is responsible for the occurrences of the defects which are persisting in complex gray iron components. The shrinkage porosity, blowholes, sand inclusion and low hardness are the defects which are persisting in cylinder head castings produced in gray iron by a green sand casting process. In pursuing for the identification of most influential parameters for respective defects, Taguchi's approach to parameter design is proposed. In the first stage of the study, 19 potential parameters associated with principal operations are selected and experiments are performed as per the plan given by the suitable Taguchi array, L36 OA. In the second stage optimal levels of the parameters are determined from the signal-to-noise ratio calculations. Analysis of variance (ANOVA) is subsequently performed to identify most influential parameters. Confirmation run of experiments is performed with optimal settings of parameters to verify the results. Outcome of confirmation experiments indicated that persisting defects in cylinder head castings produced by a green sand process are sufficiently reduced.

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Section: Experimentationmentioning

confidence: 99%

Section: Confirmation Experimentsmentioning

confidence: 99%

Optimization of Essential Parameters in Green Sand Process to Minimize Persisting Casting Defects Using Taguchi Approach

Aloni¹

2019

JESTR

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“…IN718 is commonly used in high-temperature environments, high-performance aircraft and missile weapon systems (Yang et al. , 2017).…”

Section: Introductionmentioning

confidence: 99%

Wire EDM cutting of Inconel 718 nickel-based superalloy: kerf and MRR analysis

Karataş

2022

MMMS

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PurposeInconel 718 (IN718) is a high-performance nickel-based superalloy with high oxidation-corrosion-temperature resistance, high strength (tensile, fatigue, creep and rupture), durability, toughness, hardness and dimensional stability, which is difficult to machine with traditional fabrication methods. To overcome these difficulties, wire electrical discharge machining (WEDM), one of the modern manufacturing methods, is used.Design/methodology/approachMain performance criteria in WEDM; material removal rate (MRR), cutting speed, surface roughness, cutting width (kerf) and wire wear rate. In this study, the effect of processing parameters on kerf and MRR because of processing IN718 in WEDM was investigated. Machining parameters, voltage, wire feed rate and dielectric fluid pressure were determined. Deionized water was used as a dielectric fluid and 0.3 mm brass wire was used as wire in the experiments. Gray Relational Analysis (GRA), which is one of the multi-criteria decision-making methods, has been applied for the optimization of the machining parameters in the cutting process with the WEDM. Analysis of variance (ANOVA) was used to determine the effect percentages of the cut-off parameters.FindingsThe parameter with the highest effect was determined as tension with a rate of 76.95% for kerf and 91.21% for MRR.Originality/valueThe novel approach uses Taguchi-based GRA optimization as a result of cutting IN718 with WEDM, reducing cost and time consumption.

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“…For the analysis of the hole quality and the performance of the WEDM process the optical and scanning electron micrographs were used. Yang et al [20] studied the single and multiobjective optimization of the WEDM process using Inconel 718 nickel-based superalloy as the experimental material. They tried to define the optimal parameters combination to minimize the surface roughness and to maximize the material removal rate.…”

Section: Introductionmentioning

confidence: 99%

Machining of B1914 nickel-based superalloy using wire electrical discharge machining

Mouralová

Polzer

Beneš

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part E:

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The unconventional technology of wire electrical discharge machining is a key engineering technology, designed primarily for machining of conventionally difficult machine materials. One of them is nickel alloys, which are majorly used in the aerospace and energy industries. The subject of research in this study was specifically the B1914 nickel-based superalloy, which was subjected to many analyses leading to an overall optimization of its machining using wire electrical discharge machining. In order to determine the effect of machine parameters setup (pulse off time, gap voltage, discharge current, pulse on time and wire feed) on cutting speed, topography, morphology, surface and subsurface layer quality, an extensive Box–Behnken design experiment consisting of 46 rounds was carried out. The analyses of the condition of the surface and subsurface layers were performed, including their chemical composition and changes caused by wire electrical discharge machining. It was found out that the factors like pulse off time, discharge current and pulse on time have the greatest effect on the cutting speed, although from the point of view of surface topography the parameter pulse off time is not significant. The remaining two parameters cause the cutting speed to act against the surface topography i.e. with the increasing cutting speed, the surface topography gets worse and vice versa.

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Single and multiobjective optimization of Inconel 718 nickel-based superalloy in the wire electrical discharge machining

Cited by 35 publications

References 11 publications

Optimization of Essential Parameters in Green Sand Process to Minimize Persisting Casting Defects Using Taguchi Approach

Optimization of Essential Parameters in Green Sand Process to Minimize Persisting Casting Defects Using Taguchi Approach

Wire EDM cutting of Inconel 718 nickel-based superalloy: kerf and MRR analysis

Machining of B1914 nickel-based superalloy using wire electrical discharge machining

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