Cutting forces and wear in dry machining of Inconel 718 with coated carbide tools

Devillez, Arnaud; Schneider, F.; Dominiak, S.; Dudzinski, D.; Larrouquere, D.

doi:10.1016/j.wear.2006.10.009

Cited by 330 publications

(138 citation statements)

References 29 publications

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“…Because of these properties, Inconel 718 is a typical hard-to-machine material. Machining this material in a conventional way normally results in extreme high cutting forces [1,2]. To reduce the forces as well as tool wear, researchers have introduced several thermally enhanced machining technologies such as laser-assisted milling.…”

Section: Introductionmentioning

confidence: 99%

Microstructure-sensitive flow stress modeling for force prediction in laser assisted milling of Inconel 718

Pan

Feng

et al. 2017

Manufacturing Rev.

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-Inconel 718 is a typical hard-to-machine material that requires thermally enhanced machining technology such as laser-assisted milling. Based upon finite element analysis, this study simulates the forces in the laser-assisted milling process of Inconel 718 considering the effects of grain growth due to c 0 and c 00 phases. The c 00 phase is unstable and becomes the d phase, which is likely to precipitate at a temperature over 750°C. The temperature around the center of spot in the experiments is 850°C, so the phase transformation and grain growth happen throughout the milling process. In the analysis, this study includes the microstructure evolution while accounting for the effects of dynamic recrystallization and grain growth through the Avrami model. The grain growth reduces the yield stress and flow stress, which improves the machinability. In finite element analysis (FEA), several boundary conditions of temperature varying with time are defined to simulate the movement of laser spot, and the constitutive model is described by Johnson-Cook equation. In experiments, this study collects three sets of cutting forces and finds that the predicted values are in close agreements with measurements especially in feed direction, in which the smallest error is around 5%. In another three simulations, this study also examines the effect of laser preheating on the cutting forces by comparison with a traditional milling process without laser assist. When the laser is off, the forces increase in all cases, which prove the softening effect of laser-assisted milling. In addition, when the axial depth of milling increases, the laser has a more significant influence, especially in axial direction, in which the force with laser is more than 18% smaller than the one without laser. Overall, this study validates the influence of laser-assisted milling on Inconel 718 by predicting the cutting forces in FEA.

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Section: Introductionmentioning

confidence: 99%

Microstructure-sensitive flow stress modeling for force prediction in laser assisted milling of Inconel 718

Pan

Feng

et al. 2017

Manufacturing Rev.

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“…During its machining the cutting tool often gets subjected to very high thermal and mechanical loads which cause rapid tool wear. Welding and sticking of worked material onto the cutting tool is a major problem during machining of Inconel 718 which causes rigorous notching and high cutting forces generates vibration while machining [3][4][5]. Because of above reasons lot of research is going on in the field of machining of Inconel 718 using different techniques like Cryogenic machining, Air jet assisted machining, Ultra High Speed Machining.…”

Section: Introductionmentioning

confidence: 99%

Optimization of High Pressure Coolant Assisted Turning of Inconel 718 using TOPSIS

Raykar¹,

Dabade²

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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Abstract:Optimization of process parameters for machining Heat Resistant Super Alloys (HRSA) is a very challenging task for researchers. Many techniques are being used to find out optimized process parameters for machining these alloys. This paper presents the use of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to optimize process parameters for High-Pressure Coolant (HPC) assisted turning of Inconel 718.Inconel 718 is one of heat resistance superalloy from nickel-chromium group suitable for aerospace applications.TOPSIS is used for optimization of manufacturing processes which involves analysis of multiperformance characteristics. In the present analysis, high-pressure coolant is introduced into the cutting zone while machining Inconel 718.The performance of the machining is optimized for response variables namely cutting force, radial force, feed force and surface roughness. It is seen from the analysis that TOPSIS is a very striking approach for multiobjective optimization which can be effectively used for machining processes which always involves many process parameters. Optimized process parameters found during the investigation are 80 bar coolant pressure, 60m/min cutting speed, 0.1 mm/rev feed and 0.5 mm of the depth of cut.

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“…Studies of wear of cutting tools when machining In 718 have been carried out by different researchers. Chen and Liao [7] studied the wear mechanisms in drilling of In 718 with carbide tool; Li et al, [8] studied the wear in milling of In 718 with carbide tool; Costes et al, [9] studied the wear mechanisms in turning of In 718 of CBN tools; Devillez et al [10] studied the wear in turning of In 718 with coated carbide tools. All these studies made detailed analysis of various tool failure mechanisms when cutting In 718.…”

Section: Introductionmentioning

confidence: 99%

Self-Organization of PVD Cemented Carbide Tool When Cutting In718

Xinyu¹,

Zhao

Y³

2012

Proceedings of the 1st International Conference on Mechanical Engineering and Material Science

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-Tool wear/tool life of PVD cemented coated carbide material in machining superalloy In718 has been studied by different methods. Self-organization theory is one of the effective ways to explain tool wear/tool life. In this paper, worn and fractured surfaces of the cutting tools were characterized by scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS). Self-organization of cutting tools during wear process was analyzed through SEM and EDS analysis. The results revealed that built-up edge and oxygen-containing surface film were two forms of tool self-organization in high speed turning of In718 with PVD cemented carbide inserts. Self-organization of the cutting tools took place with all kinds of wear mechanism during cutting. They affected the cutting tools in opposite directions with tool wear mechanisms, reducing the tool wear, protecting the loss of the tool materials effectively.

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Cutting forces and wear in dry machining of Inconel 718 with coated carbide tools

Cited by 330 publications

References 29 publications

Microstructure-sensitive flow stress modeling for force prediction in laser assisted milling of Inconel 718

Microstructure-sensitive flow stress modeling for force prediction in laser assisted milling of Inconel 718

Optimization of High Pressure Coolant Assisted Turning of Inconel 718 using TOPSIS

Self-Organization of PVD Cemented Carbide Tool When Cutting In718

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