Effect of process parameters on cut quality of stainless steel of plasma arc cutting using hybrid approach
An optimization concept of the various machining parameters for the plasma arc cutting
procedures on AISI 316 stainless steel conducting a hybrid optimization method has been …
procedures on AISI 316 stainless steel conducting a hybrid optimization method has been …
Optimization the machining parameters by using VIKOR and Entropy Weight method during EDM process of Al–18% SiCp Metal matrix composite
R Bhuyan, B Routara - Decision Science Letters, 2016 - growingscience.com
The objective of this paper is to optimize the process parameters by combined approach of
VIKOR and Entropy weight measurement method during Electrical discharge machining …
VIKOR and Entropy weight measurement method during Electrical discharge machining …
Multi-response optimization of EDM parameters using grey relational analysis (GRA) for Ti-5Al-2.5 Sn titanium alloy
Purpose In this research, electro discharge machining (EDM) of Ti-5Al-2.5 Sn titanium alloy
is performed taking gap voltage, pulse on time, peak current and duty cycle as process …
is performed taking gap voltage, pulse on time, peak current and duty cycle as process …
[PDF][PDF] Optimization of surface roughness for duplex brass alloy in EDM using response surface methodology
S Marichamy, M Saravanan… - Mechanics and …, 2017 - researchgate.net
In recent scenario, Duplex brass alloy have drawn many attention of researchers due to the
properties such as excellent corrosive resistance, machinability, ductile and easy of …
properties such as excellent corrosive resistance, machinability, ductile and easy of …
Optimization of surface roughness and MRR in EDM using WPCA
The objective of the present study is to find out the optimum combination of process
parameters in EDM process so that surface roughness reaches a minimum value and the …
parameters in EDM process so that surface roughness reaches a minimum value and the …
Estimating the effect of process parameters on surface integrity of EDMed AISI D2 tool steel by response surface methodology coupled with grey relational analysis
MK Pradhan - The International Journal of Advanced Manufacturing …, 2013 - Springer
In this investigation, a hybrid optimization approach is used for the estimation of minimal
surface integrity of surface created in electrical discharge machining (EDM). A new …
surface integrity of surface created in electrical discharge machining (EDM). A new …
ANFIS-based prediction of MRR and surface roughness in electrical discharge machining of HAMMC
In this work, fabrication, characterization and machining of hybrid aluminium metal matrix
composite (HAMMC) strengthened through 4% copper particles and 7.5% SiC particles was …
composite (HAMMC) strengthened through 4% copper particles and 7.5% SiC particles was …
Optimization of process parameters on EN24 tool steel using Taguchi technique in electro-discharge machining (EDM)
J Jeykrishnan, BV Ramnath, S Akilesh… - IOP Conference series …, 2016 - iopscience.iop.org
In the field of manufacturing sectors, electric discharge machining (EDM) is widely used
because of its unique machining characteristics and high meticulousness which can't be …
because of its unique machining characteristics and high meticulousness which can't be …
Effect of deep cryotreated tungsten carbide electrode and SiC powder on EDM performance of AISI 304
Powder mixed electric discharge machining (PMEDM) is a further advancement of
conventional EDM process in which electrically conductive powder is suspended in the …
conventional EDM process in which electrically conductive powder is suspended in the …
RSM and Fuzzy logic approaches for predicting the surface roughness during EDM of Al-SiCp MMC
RK Bhuyan, S Mohanty, BC Routara - Materials Today: Proceedings, 2017 - Elsevier
Surface roughness is the one of the critical performance parameter that has been effect on
several mechanical properties of machined parts like friction, wear, light reflection, heat …
several mechanical properties of machined parts like friction, wear, light reflection, heat …