Multi-objective optimization of drilling EDM process parameters of LM13 Al alloy–10ZrB2–5TiC hybrid composite using RSM

Multi Objective ◽

Advanced Engineering Optimization Through Intelligent Techniques - Advances in Intelligent Systems and Computing ◽

Multi-objective Optimization of EDM Process Parameters Using Jaya Algorithm Combined with Grey Relational Analysis

10.1007/978-981-13-8196-6_12 ◽

2019 ◽

pp. 127-135 ◽

Cited By ~ 1

Author(s):

Ashish Khachane ◽

Vijaykumar Jatti

Keyword(s):

Process Parameters ◽

Grey Relational Analysis ◽

Jaya Algorithm ◽

Multi Objective ◽

Relational Analysis ◽

Grey Relational ◽

Lecture Notes in Mechanical Engineering - Innovative Design and Development Practices in Aerospace and Automotive Engineering ◽

Multi-objective Optimization of EDM Process Parameters Using PCA and TOPSIS Method During the Machining of Al-20 % SiCp Metal Matrix Composite

10.1007/978-981-10-1771-1_38 ◽

2016 ◽

pp. 359-367 ◽

Cited By ~ 2

Author(s):

N. Pallavi Senapati ◽

Rawnak Kumar ◽

S. Tripathy ◽

Amruta Rout

Keyword(s):

Metal Matrix Composite ◽

Matrix Composite ◽

Process Parameters ◽

Metal Matrix ◽

Topsis Method ◽

Multi Objective ◽

Review on multi objective optimization of wire cut EDM process parameters using grey relational analysis

Materials Today Proceedings ◽

10.1016/j.matpr.2020.02.645 ◽

2020 ◽

Vol 26 ◽

pp. 3124-3130 ◽

Cited By ~ 1

Author(s):

Marelli Divya ◽

N. Sateesh ◽

Ram Subbiah

Keyword(s):

Process Parameters ◽

Grey Relational Analysis ◽

Multi Objective ◽

Relational Analysis ◽

Grey Relational ◽

Multi objective optimization of process parameters in WEDM of aluminum hybrid composite using taguchi and topsis techniques

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/402/1/012002 ◽

2018 ◽

Vol 402 ◽

pp. 012002 ◽

Cited By ~ 1

Author(s):

A Muniappan ◽

A P Jaivaakheish ◽

V Jayakumar ◽

A Arunagiri ◽

R Senthilkumar

Keyword(s):

Process Parameters ◽

Hybrid Composite ◽

Optimization Of Process Parameters

Multi Objective ◽

Constrained multi-objective optimization of EDM process parameters using kriging model and particle swarm algorithm

Materials and Manufacturing Processes ◽

10.1080/10426914.2017.1292037 ◽

2017 ◽

Vol 33 (4) ◽

pp. 397-404 ◽

Cited By ~ 18

Author(s):

Xuan-Phuong Dang

Keyword(s):

Process Parameters ◽

Particle Swarm ◽

Kriging Model ◽

Particle Swarm Algorithm ◽

Multi Objective ◽

Swarm Algorithm ◽

Intelligent Manufacturing and Energy Sustainability - Smart Innovation, Systems and Technologies ◽

Optimization of EDM Process Parameters Using Standard Deviation and Multi-objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA)

10.1007/978-981-15-1616-0_63 ◽

2020 ◽

pp. 655-662

Author(s):

J. Anitha ◽

Raja Das

Keyword(s):

Standard Deviation ◽

Process Parameters ◽

Ratio Analysis ◽

Multi Objective ◽

Simple Ratio ◽

Experimental Investigation and Multi-Objective Optimization of Die sink EDM Process Parameters on Inconel-625 alloy by using Utility Function Approach

Materials Today Proceedings ◽

10.1016/j.matpr.2020.04.412 ◽

2020 ◽

Vol 24 ◽

pp. 995-1005

Author(s):

Sarat Kumar Sahoo ◽

N. Thirupathi ◽

K. Saraswathamma

Keyword(s):

Experimental Investigation ◽

Utility Function ◽

Process Parameters ◽

Function Approach ◽

Inconel 625 ◽

Multi Objective ◽

Inconel 625 Alloy ◽

Lecture Notes in Mechanical Engineering - Advances in Mechanical Processing and Design ◽

Multi-objective Optimization of EDM Process Parameters on Al-7075-Based Hybrid MMCs

10.1007/978-981-15-7779-6_31 ◽

2020 ◽

pp. 361-376

Author(s):

Sudhansu Sekhar Singh ◽

Ashutosh Satpathy ◽

Sasmita Kar

Keyword(s):

Process Parameters ◽

Multi Objective ◽

Al 7075 ◽

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) ◽

Multi objective optimization of EDM process parameters using fuzzy TOPSIS method

10.1109/iciiecs.2015.7192926 ◽

2015 ◽

Cited By ~ 6

Author(s):

S.K. Pattnaik ◽

M. Priyadarshini ◽

K.D. Mahapatra ◽

D. Mishra ◽

S. Panda

Keyword(s):

Process Parameters ◽

Fuzzy Topsis ◽

Topsis Method ◽

Multi Objective ◽

MULTI-OBJECTIVE OPTIMIZATION OF END MILLING PROCESS PARAMETERS IN MACHINING OF EN 31 STEEL: APPLICATION OF AHP EMBEDDED WITH VIKOR AND WASPAS METHODS

i-manager’s Journal on Mechanical Engineering ◽

10.26634/jme.8.4.14676 ◽

2018 ◽

Vol 8 (4) ◽

pp. 39

Author(s):

AJAY KUMAR. G VENKATA ◽

VARDHAN REDDY D. VISHNU ◽

NAGARAJU NAKKA ◽

◽

...

Keyword(s):

Process Parameters ◽

End Milling ◽

Milling Process ◽

Multi Objective ◽

En 31 ◽

End Milling Process