Related references
Note: Only part of the references are listed.Estimating high precision hole diameters of aerospace alloys using artificial intelligence systems: a comparative analysis of different techniques
P. R. Aguiar et al.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING (2017)
Hard turning behavior improvement using NSGA-II and PSO-NN hybrid model
Khaider Bouacha et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2016)
Glowworm swarm optimization (GSO) for optimization of machining parameters
Nurezayana Zainal et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2016)
A particle swarm approach for multi-objective optimization of electrical discharge machining process
Chinmaya P. Mohanty et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2016)
Investigation on Some Machinability Aspects of Inconel 825 During Dry Turning
A. Thakur et al.
MATERIALS AND MANUFACTURING PROCESSES (2015)
Improving surface integrity in finish machining of Inconel 718 alloy using intelligent systems
Farshid Jafarian et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2014)
Online optimization of a finish turning process: strategy and experimental validation
M. Chandrasekaran et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2014)
Machining optimization using swarm intelligence in titanium (6Al 4V) alloy
Indira G. Escamilla-Salazar et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2013)
Multiple process parameter optimization of wire electrical discharge machining on Inconel 825 using Taguchi grey relational analysis
G. Rajyalakshmi et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2013)
Multi-criteria decision making in the selection of machining parameters for Inconel 718
R. Thirumalai et al.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2013)
Modeling and analysis of correlations between cutting parameters and cutting force components in turning AISI 1043 steel using ANN
Milos Madic et al.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING (2013)
Experimental investigation, intelligent modeling and multi-characteristics optimization of dry WEDM process of Al-SiC metal matrix composite
Reza Kashiry Fard et al.
JOURNAL OF MANUFACTURING PROCESSES (2013)
Application of Particle Swarm Optimization technique for achieving desired milled surface roughness in minimum machining time
S. Bharathi Raja et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Study of surface quality in high speed turning of Inconel 718 with uncoated and coated CBN tools
Jinming Zhou et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2012)
An integrated approach to optimise parameter design of multi-response processes based on Taguchi method and artificial intelligence
Tatjana V. Sibalija et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2012)
The selection of milling parameters by the PSO-based neural network modeling method
Masoud Farahnakian et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2011)
Application of soft computing techniques in machining performance prediction and optimization: a literature review
M. Chandrasekaran et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2010)
Study on surface damages caused by turning NiCr20TiAl nickel-based alloy
Bin Zou et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2009)
Estimation of cutting forces and surface roughness for hard turning using neural networks
Vishal S. Sharma et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2008)
Evaluation of thrust force and surface roughness in drilling composite maternal using Taguchi analysis and neural network
C. C. Tsao et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2008)
An investigation of cutting forces and surface damage in high-speed turning of Inconel 718
R. S. Pawade et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2007)
The application of a radial basis function neural network for predicting the surface roughness in a turning process
DK Sonar et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2006)
Modelling the correlation between cutting and process parameters in high-speed machining of Inconel 718 alloy using an artificial neural network
EO Ezugwu et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2005)
A neural-network-based methodology for the prediction of surface roughness in a turning process
A Kohli et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2005)
Residual stress and surface roughness when facing age hardened Inconel 718 with-CBN and ceramic cutting tools
RM Arunachalam et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2004)
Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process
KA Risbood et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2003)
High speed cutting of Inconel 718 with coated carbide and ceramic inserts
L Li et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2002)