Inconel X-750, a nickel-chromium alloy, is found as a component in applications of the airframe and hot-air duct system. This paper presents the effect of different nanofluids (NF) concentration along with cutting speed and federate on Fz: cutting force, Ra: surface roughness and Vba: tool wear with the application of vegetable oil NF on turning of Alloy 750. The NF and vegetable oil taken for present investigation are nAl2O3 and coconut oil. Experimental is carried out using L9 orthogonal array and turned with PVD (AlTiN) coated carbide inserts. From the experimental research, 1.00% nAl2O3 nanofluids in coconut oil along with cutting speed of 87m/min and 0.14 mm/rev feed rate has proved the better machining performance to minimize the responses. Based on optical micrograph analysis, abrasion, adhesion and small BUE wear are three modes of wear mechanisms. Ribbon chips are produced with a different diameter, and curl diameter is increased with the increment of percentage concentration on turning of Inconel X-750. © 2019 The Authors. Published by Elsevier Ltd.

Venkatesan K

Department of Design and Automation

School of Mechanical Engineering

Vellore Campus

Devendiran S

Ghazaly N.M

Nishanth

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Procedia Manufacturing

Nickel based superalloys have a wide range of applications due to high mechanical strength at high temperatures, fracture toughness and resistance to corrosion. However, because of their outstanding properties, it is considered as the difficult to machine materials. Inconel alloy X-750 is used extensively in rocket-engine thrust chambers. Airframe applications include thrust reversers and hot-air ducting systems along with large pressure vessels are formed from Inconel alloy X-750. Moreover, the comparative analysis of machinability aspect using coated carbide inserts is reported few. The current study explains the machinability investigation on Inconel alloy X-750 superalloys using coated carbides. To collect the experimental data, the L16 experimental design plan is used to experiment with a machining length of 40 mm. Four level of cutting speed (70,120,170,220 m/min), feed rate (0.1, 0.15, 0.2, 0.25 mm/rev) and cutting depth (0.3, 0.4, 0.5, 0.6 mm) are the cutting/machining parameters used. Cutting Forces, surface roughness, flank and crater wear are considered as target functions. With the application of response surface, coupled with desirability analysis, the optimal levels of the combination are determined. With determined optimal levels, tool life study has been carried out to compare the effectiveness of cutting inserts. Finally, the ranges for best cutting conditions are proposed for serial industrial production. © 2018 SAE International. All Rights Reserved.

SAE Technical Paper Series

A Comparative Study on Machinability Characteristics in Dry Machining of Inconel X-750 Alloy Using Coated Carbide Inserts

Inconel 718, a high-temperature alloy, is a promising material for high-performance aerospace gas turbine engines components. However, the machining of the alloy is difficult owing to immense shear strength, rapid work hardening rate during turning, and less thermal conductivity. Hence, like ceramics and composites, the machining of this alloy is considered as difficult-to-turn materials. Laser assisted turning method has become a promising solution in recent years to lessen cutting stress when materials that are considered difficult-to-turn, such as Inconel 718 is employed. This study investigated the influence of input variables of laser assisted machining on the machinability aspect of the Inconel 718. The comparison of machining characteristics has been carried out to analyze the process benefits with the variation of laser machining variables. The laser assisted machining variables are cutting speeds of 60–150 m/min, feed rates of 0.05–0.125 mm/rev with a laser power between 1200 W and 1300 W. The various output characteristics such as force, roughness, tool life and geometrical characteristic of chip are investigated and compared with conventional machining without application of laser power. From experimental results, at a laser power of 1200 W, laser assisted turning outperforms conventional machining by 2.10 times lessening in cutting force, 46% reduction in surface roughness as well as 66% improvement in tool life when compared that of conventional machining. Compared to conventional machining, with the application of laser, the cutting speed of carbide tool has increased to a cutting condition of 150 m/min, 0.125 mm/rev. Microstructural analysis shows that no damage of the subsurface of the workpiece. © 2017

Journal of Advanced Research

The study on force, surface integrity, tool life and chip on laser assisted machining of inconel 718 using Nd:YAG laser source

Laser assisted machining (LAM) is one of the innovative methods to machine difficult to cut materials to obtain maximum benefits of machinability. In this method, the influence of both the laser and cutting parameters affects the quality of machining. Hence it is required to identify the optimal levels of the parameters in order to maximize benefits. The present study focused on optimization of laser beam approach angle, laser power and cutting parameters during LAM of Inconel 718 alloy using chemical vapour deposition (CVD) coated carbide tool. The experimental trials are planned in accordance with central composite design (CCD) in response surface methodology. The ranges for selected parameters are as follows as: cutting speed (50 &lt; Vc &lt; 100 m/min), feed rate (0.05 &lt; f &lt; 0.1 mm/rev), laser power (1.25 &lt; PL &lt; 1.75 kW), and approach angle (60° &lt; θ &lt; 90°). Cutting force and workpiece temperature, the two responses which are measured using Kistler force dynamometer and infra-red pyrometer respectively. The effects of each parameter were analysed using 3D surface plot and analysis of variance (ANOVA). A second order regression equation has been developed and model shows good agreement with experimental and predicted results. Desirability function analysis (DFA) is used to determine the optimal operating conditions. Finally, the results were validated using confirmation experiments. © 2016 Elsevier Ltd.

Measurement

Statistical approach for optimization of influencing parameters in laser assisted machining (LAM) of Inconel alloy

This paper presents a parametric effect, microstructure, micro-hardness and optimization of laser scanning parameters (LSP) on heating experiments during laser assisted machining of Inconel 718 alloy. The laser source used for experiments is a continuous wave Nd:YAG laser with maximum power of 2 kW. The experimental parameters in the present study are cutting speed in the range of 50-100 m/min, feed rate of 0.05-0.1 mm/rev, laser power of 1.25-1.75 kW and approach angle of 60-90°of laser beam axis to tool. The plan of experiments are based on central composite rotatable design L31 (43) orthogonal array. The surface temperature is measured via on-line measurement using infrared pyrometer. Parametric significance on surface temperature is analysed using response surface methodology (RSM), analysis of variance (ANOVA) and 3D surface graphs. The structural change of the material surface is observed using optical microscope and quantitative measurement of heat affected depth that are analysed by Vicker's hardness test. The results indicate that the laser power and approach angle are the most significant parameters to affect the surface temperature. The optimum ranges of laser power and approach angle was identified as 1.25-1.5 kW and 60-65° using overlaid contour plot. The developed second order regression model is found to be in good agreement with experimental values with R2 values of 0.96 and 0.94 respectively for surface temperature and heat affected depth. © 2015 Elsevier Ltd.

Optics & Laser Technology

Parametric modeling and optimization of laser scanning parameters during laser assisted machining of Inconel 718

Journal of the Brazilian Society of Mechanical Sciences and Engineering

Sustainable machining: an experimental investigation and optimization of machining Inconel 825 with dry and MQL approach

Application of Taguchi-Response surface analysis to optimize the cutting parameters on turning of Inconel X-750 using Nanofluids suspended Al2O3 in coconut oil

Journal	Data powered by TypesetProcedia Manufacturing
Publisher	Data powered by TypesetElsevier BV
ISSN	2351-9789
Open Access	No