The study is focussed on the comparative performance of input-parameters on cutting force, roughness, tool wear, and chip morphology of sustainable conditions (dry and MQL: Minimum quantity lubrication) on Nimonic 90 alloy. 0.25 wt% of nano hexagonal boron nitride (hBN) mixed with groundnut oil is used as nanofluids, and experimentations are accomplished on Taguchi's L16 orthogonal array. Results show that in nano-MQL, the improvement of 1.654 and 1.276 times, 4.522, and 2.196 times that dry with two coated carbide insert for force and roughness. Coating loss occurred under the nano-MQL mode, whereas abrasion, notching observed in dry machining. The chip thickness ratio were1.34 times and 1.77 times, the shear angle was 1.22 times and 1.61 times, and reduced coefficient of friction under nano-MQL compared to dry. Nano-MQL with chemical vapour deposition (CVD) carbide insert is suitable for machining of alloy 90 with improved performance characteristics that of other machining conditions. © 2019 Elsevier Ltd

Venkatesan K

Department of Design and Automation

School of Mechanical Engineering

Vellore Campus

Devendiran S

Sachin D

Swaraj J.

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

Measurement

The present study investigated the comparative study of machinability parameters on the quality characteristics of force (Fz) and roughness (Ra) during the dry machining Nimonic 263 alloy. Machinability experiments are carried out with two coated i.e. PVD (TiAlN), KC25 (TiN/Al2O3/TICN) for dry turning at four speeds (60, 90, 120 m/min, 150 m/min), two feed (0.05, 0.12, 0.18 and 0.25 mm/rev) and three cutting depth (0.4, 0.6, 0.8 1.0 mm). The experiments are planned based on Taguchi's L16 orthogonal array. The optimal parameters combination of the machinability parameters on quality characteristics is determined using 'smaller-the better" characteristics in Taguchi analysis. From the experimental results, the most significant factor in case of both Fz and Ra is feed rate and cutting speed during the turning of 263 Nimonic alloy for both coated carbide insert using variance test (ANOVA). Pearson correlation coefficient analysis is also calculated to find the correlation between the machining parameters and machinability attributes. Also the calculated Pearson correlation coefficient showed a robust relationship between the feed, cutting depth and force and roughness. In addition, the lower magnitude of cutting force and roughness is observed for dry in both inserts at low level of feed (0.05 mm/rev) and cutting depth (0.4 mm) with moderate levels of speed (120 m/min). © 2017 Elsevier Ltd. All rights reserved.

Materials Today: Proceedings

A Comparative Study on Machinability Characteristics In Dry Machining Of Nimonic 263 Alloy Using Coated Carbide Inserts

This study focused on experimental investigation and optimisation of laser aided hybrid machining of Inconel 718 alloy. Cutting speed, feed rate and laser power are varied each at three levels and total of 27 experiments are conducted. Cutting force, surface roughness and flank wear are measured. The factor effects on each response are analysed using 3D surface plot. The developed regression model shows good degree of fit. From the analysis of variance, the feed rate and laser power are influencing parameters on the cutting force and surface roughness while cutting speed is for tool wear. The optimal process parameter setting using desirability analysis reveals a reduction of cutting force by 50%, surface roughness by 26%, flank wear by 33% and the tool life is extended up to 133% over conventional machining. The segmentation of saw tooth chip is increased which demonstrated the thermal softening effect compared to conventional machining. © 2016 Inderscience Enterprises Ltd.

International Journal of Machining and Machinability of Materials

Optimisation of machining parameters in laser aided hybrid machining of Inconel 718

Hybrid machining is an emerging technique for difficult-to-cut materials to overcome the problems associated with conventional machining (CM). Inconel 718, a super alloy of nickel, is a high-temperature alloy commonly used in aircraft and thermal industries and categorized as one among the difficult-to-cut materials. In this study, the influence of cutting conditions of Inconel 718 alloy during laser-assisted hybrid machining (LAHM) is investigated and the results are compared with CM. During LAHM, the process parameters of cutting speed, feed rate, approach angle, and laser power are varied. The present work is carried out in two phases: (i) determination of effective heat-affected depth (HAD) during laser preheating (using central composite design (CCD) in response surface methodology); (ii) optimization of cutting conditions during machining (using Taguchi's method). Compared with CM, the LAHM shows the following reduction benefits: (i) 33% in feed force (Fx), 42% in thrust force (Fy), and 28% in cutting force; (ii) improved surface finish (surface roughness, Ra) of 28%; and (iii) reduction in tool wear by 50%. The chip morphology reveals the decrease in shear angle and increase in chip thickness during LAHM. No change in the hardness value of the machined surface after LAHM indicates the absence of subsurface damage. © 2016, Copyright © Taylor & Francis Group, LLC.

Materials and Manufacturing Processes

Improvement of Machinability using Laser-Aided Hybrid Machining for Inconel 718 Alloy

Enhanced Heat Transfer Mechanism of Nanofluid MQL Cooling Grinding Advances in Chemical and Materials Engineering

Experimental Research on Minimum Quantity Lubrication Surface Grinding With Different Cooling and Lubrication Conditions

Silicon

Multiresponse Optimization for Laser-Assisted Machining of Fused Silica Using Response Surface Methodology

Investigation of machinability characteristics and comparative analysis under different machining conditions for sustainable manufacturing

Journal	Data powered by TypesetMeasurement
Publisher	Data powered by TypesetElsevier BV
ISSN	0263-2241
Open Access	No