Surface integrity of a high speed milled gamma titanium aluminide

Mantle, Andrew L.; Aspinwall, D.K.

doi:10.1016/s0924-0136(01)00914-1

Cited by 164 publications

(107 citation statements)

References 2 publications

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“…Tool wear has been attributed to cutting conditions, tool geometry and mechanical stiffness. Various studies have considered the behavior of tool wear under different tool-work-piece material combinations and experiments, such as the effect of flood coolant, and dry machining [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

et al. 2017

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Abstract:In recent machining operation, tool life is one of the most demanding tasks in production process, especially in the automotive industry. The aim of this paper is to study tool wear on HSS in end milling of aluminium 6061 alloy. The experiments were carried out to investigate tool wear with the machined parameters and to developed mathematical model using response surface methodology. The various machining parameters selected for the experiment are spindle speed (N), feed rate (f), axial depth of cut (a) and radial depth of cut (r). The experiment was designed using central composite design (CCD) in which 31 samples were run on SIEG 3/10/0010 CNC end milling machine. After each experiment the cutting tool was measured using scanning electron microscope (SEM). The obtained optimum machining parameter combination are spindle speed of 2500 rpm, feed rate of 200 mm/min, axial depth of cut of 20 mm, and radial depth of cut 1.0mm was found out to achieved the minimum tool wear as 0.213 mm. The mathematical model developed predicted the tool wear with 99.7% which is within the acceptable accuracy range for tool wear prediction.

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Section: Introductionmentioning

confidence: 99%

Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

et al. 2017

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“…The built up edge as a typical type of tool wear that often occurs in machining of nickel based superalloys [25] can push the tool away from its original path to increase the roughness [43]. Also, the cutting parameters are very effective on the changes in surface roughness as well [44].…”

Section: Surface Roughnessmentioning

confidence: 99%

Surface Integrity of Broached Inconel 718 and Influence of Thermal Exposure

Chen¹

2014

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Inconel 718 is a nickel-based superalloy that is extensively used as a disc material in gas turbine engines. The service life of gas turbine discs is normally governed by the modes of material degradation and fatigue failure since they work mostly at high temperatures and are subjected to cyclic mechanical loadings. Fatigue failures often start with the initiation of cracks at the surface and the precise details of the failure process significantly depend on the surface conditions. In turbine disc production, one of the last manufacturing steps is to broach root fixings, commonly of fir-tree design, for blade mounting. It has always been a challenge when machining Inconel 718 due to its high strength retention at elevated temperatures, rapid work hardening, as well as low thermal conductivity. This usually leads to rapid tool wear, and consequently shorter tool life, and at the end to the deterioration of the surface integrity of the machined components.

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“…The processing characteristics sharply deteriorate at high mechanical strength at high temperatures as well as low thermal conductivity of Ti / Ni-based alloys [1][2][3][4][5]. Cutting off parts from nickel-base heat-resistant alloys (for example, Inconel 718, Udimed 720) leads to both a rapid wear of the cutting tool and tool surface [1,[11][12][13][14][15][16], which can be generally called surface anomalies. These surface anomalies are the result of the bad processing characteristics of nickel-base alloys and the trend of rapid tool wear at cutting regardless of the types of machining operations [11,12,[14][15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

A model of milling process based on Morlet wavelets decomposition of vibroacoustic signals

Khaymovich¹,

Prokhorov²,

Stolbova³

et al. 2017

Collection of Selected Papers of the III International Conference on Information Technology and Nanotechnology

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The paper considers the problem of online monitoring the condition of cutting tools to avoid its unexpected failure. To approach this problem we proposed a model of milling process based on Morlet decomposition of vibroacoustic signals. In addition, using the wavelets scalogram, we imposed a new condition that helps to improve early wear detection of the cutting tool. The findings of this research reveal the advantages of the proposed model compared to the previously reported models that rely on Haar wavelets and Short-time Fourier transform.

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Surface integrity of a high speed milled gamma titanium aluminide

Cited by 164 publications

References 2 publications

Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

Surface Integrity of Broached Inconel 718 and Influence of Thermal Exposure

A model of milling process based on Morlet wavelets decomposition of vibroacoustic signals

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