Optimization of MQL Machining Parameters Using Combined Taguchi and TOPSIS Method

2020 ◽  
pp. 93-101
Author(s):  
Anjali Gupta ◽  
Rajesh Kumar ◽  
Harmesh Kumar ◽  
Harry Garg
Keyword(s):  
Machining Parameters ◽  
Topsis Method

Machining parameters optimization in laser beam machining for micro elliptical profiles using TOPSIS method

2020 ◽  
Vol 21 ◽  
pp. 727-730
Author(s):  
V. Senthil Kannan ◽  
K. lenin ◽  
P. Navneethakrishnan
Keyword(s):  
Laser Beam ◽  
Parameters Optimization ◽  
Machining Parameters ◽  
Topsis Method ◽  
Laser Beam Machining ◽  
Machining Parameters Optimization

scholarly journals Multiresponse Optimization of Edm Process with Nanofluids Using Topsis Method and Genetic Algorithm

2016 ◽  
Vol 63 (1) ◽  
pp. 45-71 ◽  
Author(s):  
S. Prabhu ◽  
B. K. Vinayagam
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
Regression Model ◽  
Tool Steel ◽  
Machining Process ◽  
Machining Parameters ◽  
Topsis Method ◽  
Aisi D2 ◽  
Aisi D2 Tool Steel ◽  
Edm Process

Abstract Electrical Discharge Machining (EDM) process with copper tool electrode is used to investigate the machining characteristics of AISI D2 tool steel material. The multi-wall carbon nanotube is mixed with dielectric fluids and its end characteristics like surface roughness, fractal dimension and metal removal rate (MRR) are analysed. In this EDM process, regression model is developed to predict surface roughness. The collection of experimental data is by using L9 Orthogonal Array. This study investigates the optimization of EDM machining parameters for AISI D2 Tool steel using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Analysis of variance (ANOVA) and F-test are used to check the validity of the regression model and to determine the significant parameter affecting the surface roughness. Atomic Force Microscope (AFM) is used to capture the machined image at micro size and using spectroscopy software the surface roughness and fractal dimensions are analysed. Later, the parameters are optimized using MINITAB 15 software, and regression equation is compared with the actual measurements of machining process parameters. The developed mathematical model is further coupled with Genetic Algorithm (GA) to determine the optimum conditions leading to the minimum surface roughness value of the workpiece.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

SMART and TOPSIS Method For Determining The Priority Of Screen Printing

SinkrOn ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 151
Author(s):  
Rinaldi Setiawan ◽  
Arini Arini ◽  
Luh Kesuma Wardhani
Keyword(s):  
Decision Support ◽  
Programming Language ◽  
Screen Printing ◽  
Small And Medium Enterprises ◽  
Topsis Method ◽  
Product Selection ◽  
Final Value ◽  
Combination Of Methods ◽  
Medium Enterprises ◽  
Research Criteria

The number of micro, small and medium enterprises (MSMEs) in the field of screen printing and convection that use websites in marketing is one of them CV. Ini Sablon. but in the production process there are obstacles in working on orders that come to be done first in accordance with predetermined criteria, namely deadlines, number of orders, design, profit, and availability of goods. The use of Decision Support System (DSS) aims to provide recommendations to owners of screen printing companies. This study uses the SMART method to weight the criteria and the TOPSIS method for product selection. This system is built using the PHP programming language and MySQL database. The results of the study were a screen printing production priority website with the best final value of 0.62 and the worst final value of 0.35 with the level of accuracy between manual and system calculations reaching 100%. In this study the criteria cannot be updated, it is expected that further research criteria can be updated and use a combination of methods that have not been done.

Performance Analysis on Eco-friendly Machining of Ti6Al4V using Powder Mixed with Different Dielectrics in WEDM

2020 ◽  
Vol 17 (3) ◽  
pp. 8128-8139
Author(s):  
S. Chakraborty ◽  
S. Mitra ◽  
D. Bose
Keyword(s):  
Metal Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Process Efficiency ◽  
Machining Parameters ◽  
Dielectric Fluids ◽  
High Emission ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process

The recent scenario of modern manufacturing is tremendously improved in the sense of precision machining and abstaining from environmental pollution and hazard issues. In the present work, Ti6Al4V is machined through wire EDM (WEDM) process with powder mixed dielectric and analyzed the influence of input parameters and inherent hazard issues. WEDM has different parameters such as peak current, pulse on time, pulse off time, gap voltage, wire speed, wire tension and so on, as well as dielectrics with powder mixed. These are playing an essential role in WEDM performances to improve the process efficiency by developing the surface texture, microhardness, and metal removal rate. Even though the parameter’s influencing, the study of environmental effect in the WEDM process is very essential during the machining process due to the high emission of toxic vapour by the high discharge energy. In the present study, three different dielectric fluids were used, including deionised water, kerosene, and surfactant added deionised water and analysed the data by taking one factor at a time (OFAT) approach. From this study, it is established that dielectric types and powder significantly improve performances with proper set of machining parameters and find out the risk factor associated with the PMWEDM process.

Investigating the Effect of Machining Parameters On Tool Life For Turning of En 08

2012 ◽  
Vol 2 (6) ◽  
pp. 248-249
Author(s):  
Vishal Francis ◽  
◽  
Sumit k Singh Sumit k Singh
Keyword(s):  
Tool Life ◽  
Machining Parameters

Analysis of the influence of the hole depth on the geometric quality of the machined part, when the cutting fluid and the machining parameters are varied

2017 ◽  
Author(s):  
Eder Silva Costa ◽  
Pedro Henrique Pires França ◽  
Leonardo Rosa Ribeiro da Silva ◽  
Wisley Sales ◽  
Álisson Rocha Machado ◽  
...  
Keyword(s):  
Cutting Fluid ◽  
Machining Parameters ◽  
Hole Depth ◽  
Geometric Quality

Selecting the best team from the players in the 2018 FIFA World Cup using performance analysis

2020 ◽  
Vol 42 (1) ◽  
pp. 15-32
Author(s):  
Tugay Karadag ◽  
Coskun Parim ◽  
Erhan Cene
Keyword(s):  
Performance Analysis ◽  
Topsis Method ◽  
World Cup ◽  
Fifa World Cup ◽  
Performance Variables

This study aims to determine the best player in each position from among the footballers who played in the 2018 World Cup in Russia. Player statistics for those who played over 200 minutes were obtained from the FIFA official and transfermarkt.com websites. Selected performance variables were then calculated per 100 minutes and the results were normalised. Kruskal Wallis H and Bonferroni Tests were used to determine the weights of the variables before the analysis. As the variables will have different values according to the players’ positions, the weights for each position were calculated separately. Finally, the performances of the players on the basis of the variables used were ranked for each position using the TOPSIS method. A second analysis was undertaken including only those players whose ages were under 28 and goalkeepers whose ages were under 32. The purpose of this analysis was to identify players with potential that had been largely unrecognised up until the tournament. It was found that both the teams selected in this way were dominated by players from European clubs. Ninety-two percent of the top sixty players in the analysis were playing in European leagues with 85% playing in Spain, England, Italy, Germany, France or Russia.

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