Optimization of Surface Roughness During High Speed Milling of Inconel 825 Using Grey Relation Analysis

2020 ◽  
pp. 49-59
Author(s):  
Balagopal Unnikrishnan ◽  
Armaan Valjee ◽  
Vyankatesh Bagal ◽  
Prashantkumar Patankar
Keyword(s):  
Surface Roughness ◽  
High Speed ◽  
Grey Relation Analysis ◽  
High Speed Milling ◽  
Relation Analysis ◽  
Grey Relation ◽  
Inconel 825

scholarly journals Machining Performance Optimization for Turning of Inconel 825: An integrated Optimization Route Combining Grey Relation Analysis with JAYA and TLBO

2019 ◽  
Vol 8 (10) ◽  
pp. 1-7
Keyword(s):  
Machining Process ◽  
Process Performance ◽  
Process Variables ◽  
Grey Relation Analysis ◽  
Multiple Responses ◽  
Turning Operation ◽  
Inconel Alloys ◽  
Relation Analysis ◽  
Grey Relation ◽  
Inconel 825

With the widespread application of Inconel alloys in manufacturing industries especially in the automobile as well as aerospace industries leads to manufacturers to pay more attention towards the understanding of machinability aspects of these alloys. Attributable to the need for large-scale manufacturing of Inconel machined components, the optimization of machining process variables become crucial to produce quality products economically by means of enhancing process performance. In common, several process parameters namely depth of cut, feed rate, and spindle speed influence the performance of turning operation in their own way. Concurrently, in the machining of Inconel alloys, the important performance indices are Material Removal Rate (MRR), surface roughness, and cutting force. This work deals with the assessment of process performance of Inconel 825 alloy amid turning operation. For the optimization of multiple responses, grey relation analysis has been employed that transforms the multiple responses into a corresponding single response known as overall grey relation index (OGI). Based on OGI, as a function of selected process variables, formulation of a non-linear regression model has been done and considered as the fitness function. To conclude, two evolutionary techniques, Teaching-Learning-Based Optimization, well famous as TLBO, and JAYA algorithm have been considered for optimization.

Fuzzy grey relation analysis on torque influence factors of alternating current electrodyna-mometer

2013 ◽  
Vol 26 (8) ◽  
pp. 693-698 ◽  
Author(s):  
Zhigang Zhang ◽  
Guixiang Zhang ◽  
Teng Liu ◽  
Cheng Qian ◽  
Yuanwang Deng
Keyword(s):  
Influence Factors ◽  
Alternating Current ◽  
Grey Relation Analysis ◽  
Relation Analysis ◽  
Grey Relation

scholarly journals Analisis Perbaikan Kualitas Jasa Layanan Parkir Sepeda Motor Kampus UAJ Semanggi

2017 ◽  
Vol 10 (2) ◽  
Author(s):  
Trifenaus Prabu Hidayat ◽  
Andre Sugioko ◽  
Jordan Adrian
Keyword(s):  
Value Stream Mapping ◽  
Grey Relation Analysis ◽  
Weighting Method ◽  
Value Stream ◽  
Catholic University ◽  
Parking Lot ◽  
Relation Analysis ◽  
Analysis System ◽  
Met Expectations ◽  
Grey Relation

<p>PT X Indonesia is Facility services company. The scope one of service from this company is managing parking area. Consumers of these companies come from various circles, such as Atma Jaya Catholic University of Indonesia. The management intended to give comfort to motorcycle users. But it is undeniable that the users often feel the deficiency in service provided by the company. Therefore, there needs to analyze important analyze the attributes that have not met expectations of the user. The results of the analysis will be used to provide a solution for PT X Indonesia. in this paper, will use the grey relation analysis method. Grey relation analysis is a weighting method to determine the performance attributes. This method uses a questionnaire to obtain answers from the user. Based on the method selected five attributes that represent the security in the parking area, comfort a canopy (roof guards), and the services at the counter. This paper uses three approach analysis, such as cause analysis, system simulation, and value stream mapping service. The results of this research is an increase in the number of officers watching, installation, CCTV images, the use of a new payment system that is tapping card, use canopy to pedestrian path on the area in the parking lot and an increase in the number of the counter.</p><p>Keywords: PT. X Indonesia, Parking Service, Grey Relation Analysis</p>

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