Machinability Analysis and Optimization of Electrical Discharge Machining in AA6061-T6/15wt.% SiC Composite by the Multi-criteria Decision-Making Approach

2022 ◽  
Author(s):  
G. Karthik Pandiyan ◽  
T. Prabaharan ◽  
D. Jafrey Daniel James ◽  
Vinothkumar Sivalingam
Keyword(s):  
Decision Making ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Multi Criteria Decision Making ◽  
Machinability Analysis

Multi-Objective Optimization of EDM Process on AISI P-20 Tool Steel Using Multi-Criteria Decision-Making Technique

2021 ◽  
pp. 33-44
Author(s):  
Souvick Chakraborty
Keyword(s):  
Decision Making ◽  
Surface Roughness ◽  
Tool Life ◽  
Tool Steel ◽  
Electrical Discharge ◽  
Metal Removal ◽  
Electrical Discharge Machining ◽  
Optimization Technique ◽  
Orthogonal Experimental Design ◽  
Multi Criteria Decision Making

The optimization technique is introduced to overcome the problem. Here the author introduces multi-criteria decision-making technique to get the optimization value. Electrical discharge machining (EDM) in nontraditional machining process is applied for machining complicated or intricate geometries on raw materials. The present work attempts to optimize several responses of machining operation using multi-criteria decision making (MCDM) by employing different machining parameters like current, voltage, pulse. The Taguchi L9 orthogonal experimental design is followed during electrical discharge machining of AISI P20 tool steel. Four responses, namely metal removal rate, tool life, surface roughness, and over cut, are considered for optimization. The present work is aimed at multi-response optimization (i.e., higher MRR, higher tool life, lower surface roughness, and minimum overcut), which is conducted using MCDM technique.

Perancangan aplikasi multi criteria decision making dalam penerimaan beasiswa kepada dosen studi lanjut STMIK Balikpapan menggunakan metode SAW

2018 ◽  
Vol 1 (1) ◽  
pp. 35-42
Author(s):  
Muslimin B ◽  
Sumardi Sumardi
Keyword(s):  
Decision Making ◽  
Learning Process ◽  
Teaching And Learning ◽  
Teaching Assistants ◽  
Multi Criteria Decision Making ◽  
Scholarship Recipients ◽  
The Matrix ◽  
Application Decision ◽  
High Degree ◽  
New Student

 Interests and number of STMIK Balikpapan new student enrollments are increasing every year. The balance of the ratio of lecturers to students is one of the most important components in improving the quality and teaching and learning process of a university. Avoiding shortages in the number of lecturers can be realized by providing scholarship programs to alumni and teaching assistants. This study aims to build a multi criteria decision making application that can assist the Head of HRD in the process of receiving scholarships to advanced and effective study lecturers. The multi criteria decision making application developed in this study uses the SAW method. The implementation of the SAW method includes the process of evaluating the weighting of criteria, evaluating alternative weights, the matrix process, the results of decision making preferences, resulting in the weighting and ranking of each alternative candidate for the scholarship recipient. The results of the evaluation of multi-criteria application decision making in the study are expected to produce modeling with a high degree of accuracy. The results of the analysis carried out can provide alternative recommendations for prospective scholarship recipients to advanced study lecturers in STMIK Balikpapan.

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