Research on tool wear of milling nickel-based superalloy in cryogenic

Wang, Fengbiao; Li, Lili; Liu, Jingkai; Shu, Qilin

doi:10.1007/s00170-017-0079-6

Cited by 18 publications

(3 citation statements)

References 12 publications

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“…This rubbing action consequence with higher Fr generated due to high shear strength and friction coefficient at tool-chip and tool-workpiece interfaces. Meanwhile, Wang et al ( 2017) mentioned that a larger force is required to cut this material when machining at high speed [25]. A similar trend is also shown for the force components in the x, y, and z directions.…”

Section: Relationship Between Cutting Force and Tool Wearmentioning

confidence: 70%

Prediction of Cutting Force for Milling of Inconel 718 under Cryogenic Condition by Response Surface Methodology

Halim¹,

Haron²,

Ghani³

et al. 2019

JMechE

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In order to identify the influence of different cutting parameters on cutting force under cryogenic cooling assistance, this paper presents an experimental investigation on the influence by high-speed milling Inconel 718 using carbide coated ball nose milling inserts. For Design of Experiment (DOE), Box-Behnken Response Surface Methodology (RSM) with 29 experiments was applied to accommodate 4 factors; cutting speed: 120-140 m/min, feed rate: 0.15-0.25 mm/tooth, axial depth of cut: 0.3-0.7 mm, and radial depth of cut: 0.2-0.6 mm at three levels each. The milling process was performed under a CO2 cryogenic environment using a new design of cryogenic controlling system for consistent and efficient cooling effect at the cutting zone. The experimental results found the forces varied from as low as 112 N up to a maximum of 452 N. The analysis of variance (ANOVA) confirmed the axial depth of cut as the dominant factor influencing the cutting forces followed by the interaction between feed rate and radial depth of cut. The forces were significantly increased with the axial depth of cut due to the increase of the size of cut by the insert. Meanwhile, the developed statistical equation model reported an average error of 4.72% between the predicted and actual cutting forces. With 95.28% of confidence level, this confirms the adequacy of the predictive model to be used within the range of the investigated parameters. Thereby, the numerical optimization suggested parameters of Vc: 140 m/min, fz: 0.25 mm/tooth, ap: 0.3 mm, and ae: 0.21 mm to be applied to achieve a cutting force as low as 117.72 N. The correlation between the cutting forces along with tool wear progress and pattern was also discussed.

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Section: Relationship Between Cutting Force and Tool Wearmentioning

confidence: 70%

Prediction of Cutting Force for Milling of Inconel 718 under Cryogenic Condition by Response Surface Methodology

Halim¹,

Haron²,

Ghani³

et al. 2019

JMechE

View full text Add to dashboard Cite

show abstract

“…It was also suggested as an important element for improving mechanical behaviour [4]. The wear problems experienced in tools were suggested to be able their lifetime by nickel as one of the important alloying elements [5]. In addition, a significant finding concluded the improvement of wear resistance obtained from the coating of Ni-CeO 2 nanoparticles onto the surface of anodic titanium oxide (ATO) surface with nanoporous structure [6].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Synthesis of nanocrystalline nickel via pulsed current electrodeposition in additive-free deposition bath and comparison of nanoscale characterization

Tritjahjono

2024

EEJET

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An experimental investigation on synthesis of nanocrystalline nickels by pulsed current electrodeposition has been carried out in an additive-free Watts bath employing nickel-sulphate solution with similar nickel ion concentrations. Aluminum was used as a substrate. It demonstrated the advantage of easier removal process of electrodeposited nanocrystalline nickel from its substrate. Whereas the use of high-purity nickel anode was intended to replace nickel ions, which decreased during electrodeposition. Different peak current densities of 450, 750 and 1000 mA/cm2 were applied. A pulsed current was set at a similar pulse pattern of on-time and off-time of 1 ms and 9 ms respectively. The shorter on-time demonstrated the ability to limit ion deposition, which was related to the formation of finer grains. The off-time arrangement was targeted to ensure that the ion mobility had completely stopped. Higher current density demonstrated a dominant impact on deposits, generating a higher nucleation rate that is related to depositing nanocrystalline nickel. A peak current density of 1000 mA/cm2 produced grain sizes in the nanoscale regime. Without any additional additive, nanocrystalline nickel was successfully yielded. Investigation of grain size obtained from the 1000 mA/cm2 has been conducted by extracting full width at half maximum peak intensity (FWHM) revealed from X-ray diffraction (XRD) and Transmission Electron Microscopy (TEM) exhibited consistent results of 22 nm and 25.4±3.4 nm, respectively. It is also evidence of the significant role of pulsed current density. In inclusion, nanocrystalline nickel can be synthesized in an electrodeposition bath without any addition of additives

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“…In their research, it is shown that the formation of Built-up edge significantly affects the surface roughness at low speeds. Wear behavior of the cutting tool in cryogenic cooling was investigated by Wang et al [16] in machining of GH4169 nickel-based superalloy. It was found that using liquid nitrogen as the cutting coolant, tool wear decreases at low and medium cutting speeds.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of parameters in turning of N-155 iron-nickel-base superalloy using gray relational analysis

Eskandari

Davoodi

Ghorbani

2018

J Braz. Soc. Mech. Sci. Eng.

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Obtaining high surface quality with minimum tool wear values is one of the most important goals of turning process. Moreover, when it comes to process costs, the volume of material removed is very important and should be considered when optimizing cutting variables. In this work, gray relational analysis was employed with the aim of simultaneously optimizing surface roughness, tool wear and volume of material removed. Cutting speed, feed rate and depth of cut were chosen as process control factors. Optimization results showed that cutting speed of 80 m/min, feed rate of 0.1 mm/rev and depth of cut of 1.5 mm were the optimum set of cutting parameters. Scanning electron microscope images of worn cutting edges revealed that depth-of-cut notch, built-up edge, and adhesion are dominant wear mechanisms. Finally, confirmation test proved the accuracy of the prediction carried out by the optimization process.

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Research on tool wear of milling nickel-based superalloy in cryogenic

Cited by 18 publications

References 12 publications

Prediction of Cutting Force for Milling of Inconel 718 under Cryogenic Condition by Response Surface Methodology

Prediction of Cutting Force for Milling of Inconel 718 under Cryogenic Condition by Response Surface Methodology

Synthesis of nanocrystalline nickel via pulsed current electrodeposition in additive-free deposition bath and comparison of nanoscale characterization

Multi-objective optimization of parameters in turning of N-155 iron-nickel-base superalloy using gray relational analysis

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