OPTIMIZATION OF PROCESS PARAMETERS ON SURFACE ROUGHNESS and METAL REMOVAL RATE ON AISI 1042 WITH COATED TOOLS BY USING ANOVA AND GREY RELATIONAL ANALYSIS

2017 ◽  
Vol 7 (1) ◽  
pp. 8
Author(s):  
KUMAR A. HEMANTHA ◽  
RAO G. SUBBA ◽  
RAJMOHAN T. ◽  
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◽  
...  
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Metal Removal ◽  
Removal Rate ◽  
Metal Removal Rate ◽  
Relational Analysis ◽  
Coated Tools ◽  
Optimization Of Process Parameters ◽  
Grey Relational

Experimental Investigation of Electrochemical Micromachaning Process Parameters on Pure-Titanium Using Taguchi-Grey Relational Analysis

2016 ◽  
Vol 852 ◽  
pp. 198-204
Author(s):  
T. Geethapriyan ◽  
K. Kalaichelvan
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Metal Removal ◽  
Removal Rate ◽  
Pure Titanium ◽  
Electrochemical Machining ◽  
Electrochemical Micromachining ◽  
Influence Of Process Parameters ◽  
Relational Analysis ◽  
Grey Relational

Non-conventional machine are nowadays plays a vital role in manufacturing complex shaped products and to produce the product with high accuracy the electrochemical machining is widely used to machine complicated shapes for electrically conducting difficult-to-machine materials such as super alloys, Ti-alloys, alloy steel, tool steel, stainless steel, etc. such titanium-based alloys are in common use for aero engine components such as blades and blisks (blade integrated disks). Therefore, in this present work to investigate the influence of some predominant electrochemical process parameters such as applied voltage, electrolyte concentration, Micro-tool feed rate and duty cycle on the metal removal rate , overcut and surface roughness to fulfill the effective utilization of electrochemical machining of Pure-titanium. The purpose of this study is to investigate the influence of process parameters on machining characteristics and optimize the combination of those parameters using Taguchi-grey relational analysis. From this result, it is observed that process parameters have significant role in Electrochemical Micromachining process and the optimization values has been found using proposed multi-response methodology.

Optimization of WEDM Process Parameters of Hybrid Composites (A413 / B4C / Fly Ash) Using Grey Relational Analysis

2014 ◽  
Vol 592-594 ◽  
pp. 658-662 ◽  
Author(s):  
J. Milton Peter ◽  
J. Udaya Prakash ◽  
T.V. Moorthy
Keyword(s):  
Surface Roughness ◽  
Fly Ash ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Grey Relational Analysis ◽  
Material Removal ◽  
Hybrid Composites ◽  
Removal Rate ◽  
Relational Analysis ◽  
Grey Relational

This paper presents an optimum method to find the significant parameters affecting Wire Electrical Discharge machining (WEDM) performance using Grey relational analysis. A413 Aluminium Alloy reinforced with 20 microns of Boron Carbide and 75 microns of Fly Ash, hybrid composites was fabricated using stir casting technique. Experiments have been conducted with the process parameters like pulse on time, pulse off time, wire feed, gap voltage and weight percentage reinforcement with three different levels. The influence of each parameter on the responses material removal rate and surface roughness is established using analysis of variances (ANOVA). The optimal machining-parameters setting for minimum surface roughness and maximum material removal rate was obtained by applying Grey relational analysis.

scholarly journals Analysis and optimization of laser drilling process during machining of AISI 303 material using grey relational analysis approach

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
V. Chengal Reddy ◽  
Thota Keerthi ◽  
T. Nishkala ◽  
G. Maruthi Prasad Yadav
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Pulse Frequency ◽  
Laser Drilling ◽  
Simultaneous Optimization ◽  
Fibre Laser ◽  
Drilling Process ◽  
Relational Analysis ◽  
Grey Relational

AbstractSurface roughness and heat-affected zone (HAZ) are the important features which influence the performance of the laser-drilled products. Understanding the influence of laser process parameters on these responses and identifying the cutting conditions for simultaneous optimization of these responses are a primary requirement in order to improve the laser drilling performance. Nevertheless, no such contribution has been made in the literature during laser drilling of AISI 303 material. The aim of the present work is to optimize the surface roughness (Ra) and HAZ in fibre laser drilling of AISI 303 material using Taguchi-based grey relational analysis (GRA). From the GRA methodology, the recommended optimum combination of process parameters is flushing pressure at 30 Pa, laser power at 2000 W and pulse frequency at 1500 Hz for simultaneous optimization of Ra and HAZ, respectively. From analysis of variance, the pulse frequency is identified as the most influenced process parameters on laser drilling process performance.

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