Anthony Xavior M

Department of Manufacturing Engineering

School of Mechanical Engineering

Vellore Campus

Vinayagamoorthy R

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 Engineering

This study evaluates the machining performance of nanostructured Titanium Aluminium Nitride (TiAlN), Aluminium Chromium Nitride (AlCrN) and TiAlN/AlCrN bilayer coated and uncoated carbide tools used for machining Inconel 825 alloy. Taguchi's L9 orthogonal experimental design was used in the turning operation by fixing machining parameters namely, cutting speed (v), feed rate (f) and depth of cut (d) at different levels. Taguchi's Response Graph (TRG), Analysis of Variance (ANOVA) and Grey Relational Analysis (GRA) were used for examining the effects of machining parameters and their contributions to the cutting force, tool wear and surface roughness. The optimal cutting parameters were evaluated for “Smaller-the-Better” (STB) quality characteristic of all the three output responses. The GRA results, show AlCrN and TiAlN/AlCrN coated tool having obtained high Grey Relational Grade (GRG) at L1 trial when v = 50 m/min, f = 0.14 mm/rev and d = 0.15 mm. The TiAlN coated tool and uncoated tool obtained high GRG at v = 100 m/min, f = 0.25 mm/rev and d = 0.15 mm for L8 trial. The feed rate showed a high percentage contribution, followed by the depth of cut and cutting speed for TiAlN and AlCrN coated cutting tools based on the ANOVA obtained for GRG values. But, the TiAlN/AlCrN coated and uncoated tool have shown the depth of cut obtaining a high percentage contribution followed by feed rate and cutting speed based on ANOVA obtained for GRG results. Machining studies show a better performance of the TiAlN/AlCrN bi-layer coated tool when compared to TiAlN, AlCrN coated and uncoated carbide tool for machining Inconel 825 alloy. © 2018 Elsevier B.V.

Sensors and Actuators A: Physical

Comparative evaluation of performances of TiAlN, AlCrN, TiAlN/AlCrN coated carbide cutting tools and uncoated carbide cutting tools on turning Inconel 825 alloy using Grey Relational Analysis

The tool life prediction related detailed review has been done in the present work considering flank wear as the main criteria of tool failure. Taylor's extended tool life equation has been considered for the prediction. The different cutting parameters are considered and varied for optimization of tool life and to find the dominant affecting parameter amongst them. Different methods and approaches like Taguchi method, regression analyses have been considered here for tool life prediction. The areas for further required research of most optimized methods for tool life prediction with maximum accuracy have been discussed towards the end

International Journal for Research in Engineering Application & Management (IJREAM)

Review of Tool Life Optimization Methods and their Effectiveness for Turning Inserts

The Ti-6Al-4V titanium alloy is commonly used in aerospace, automotive industries and for manufacturing of medical implants, due to its biocompatibility. The objective of this work is to investigate the performance of precision turning using conventional lathe on Ti6Al4V under dry working conditions. A range of parameters that involve the machining processes were recognized and a consensus was reached to finalize its values. The proposed work is to carry out machining under the selected levels of parameters to evaluate the cutting force and surface roughness generated as the consequence of the machining process. Cutting speed, feed rate, depth of cut and nose radiuses are considered as the machining parameters for experimentation. The variation in the surface roughness and the cutting force for the variation of each machining parameters are presented graphically.

Advanced Materials Research

Evaluation of Surface Roughness and Cutting Forces During Precision Turning

Precision Engineering

Wear mechanisms of PVD-coated cutting tools during continuous turning of Ti-6Al-4V alloy

Evaluation of PVD-Inserts Performance and Surface Integrity when Turning Ti-6Al-4V ELI under Dry Machining

International Journal of Machine Tools and Manufacture

Surface integrity of dry machined titanium alloys

Wear

Growth of tool wear in turning of Ti-6Al-4V alloy under cryogenic cooling

Parametric Optimization on Multi-Objective Precision Turning Using Grey Relational Analysis

Journal	Data powered by TypesetProcedia Engineering
Publisher	Data powered by TypesetElsevier BV
ISSN	1877-7058
Open Access	Yes