scholarly journals Optimization of Electrical Discharge Turning Process using Taguchi-Grey Relational Approach

Procedia CIRP ◽  
2018 ◽  
Vol 68 ◽  
pp. 70-75 ◽  
Author(s):  
Vikas Gohil ◽  
Y.M. Puri
Keyword(s):  
Electrical Discharge ◽  
Turning Process ◽  
Relational Approach ◽  
Grey Relational

scholarly journals Electrical Discharge Machining of Al (6351)-5% SiC-10% B4C Hybrid Composite: A Grey Relational Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
S. Suresh Kumar ◽  
M. Uthayakumar ◽  
S. Thirumalai Kumaran ◽  
P. Parameswaran ◽  
E. Mohandas
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Stir Casting ◽  
Electrode Wear ◽  
Relational Approach ◽  
Process Characteristics ◽  
Multiresponse Optimization ◽  
Grey Relational ◽  
Machining Parameter ◽  
Machining Characteristics

The goal of the present experimental work is to optimize the electrical discharge machining (EDM) parameters of aluminum alloy (Al 6351) matrix reinforced with 5 wt.% silicon carbide (SiC) and 10 wt.% boron carbide (B4C) particles fabricated through the stir casting route. Multiresponse optimization was carried out through grey relational analysis (GRA) with an objective to minimize the machining characteristics, namely electrode wear ratio (EWR), surface roughness (SR) and power consumption (PC). The optimal combination of input parameters is identified, which shows the significant enhancement in process characteristics. Contributions of each machining parameter to the responses are calculated using analysis of variance (ANOVA). The result shows that the pulse current contributes more (83.94%) to affecting the combined output responses.

Sustainability Appraisement of Industrial Robots by GRA for Real Automation Environment

2019 ◽  
Vol 10 (3) ◽  
pp. 53-68
Author(s):  
Atul Kumar Sahu ◽  
Harendra Kumar Narang ◽  
Mridul Singh Rajput ◽  
Nitin Kumar Sahu
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Decision Making Process ◽  
Managerial Decision ◽  
Relational Approach ◽  
Knowledge Based ◽  
Sets Theory ◽  
Grey Relational

A knowledge-based tool for executing the managerial decision-making process is presented in this work. The work evaluated the significant robot i.e. industrial machines for sustainably handling the real time manufacturing environment. The presented tool integrates the grey sets theory with grey relational approach (GRA) to support the decision-making process for opting most significant industrial robot. The performance mapping of industrial robots by GRA under grey set theory is presented for defining a sustainable real automation environment. The work offers the essence of both grey set theory and grey relational approach under a sole ring. The work implicates grey sets theory to capture the uncertainties associated with the evaluation of robot measures and implicated GRA to recognize the most valuable robot alternative. The proposed tool is developed by categorizing the list of qualitative and quantitative characteristics; which links the robot evaluation properties. The work attempts to draft a knowledgeable tool for effectively executing manufacturing activities by the robots.

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