Related references
Note: Only part of the references are listed.Tool life and hole surface integrity studies for hole-making of Ti6Al4V alloy
Qing Zhao et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Laser-assisted milling of Ti-6Al-4V with the consideration of surface integrity
G. K. Hedberg et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
A model-based approach for online estimation of surface waviness in roll grinding
Paolo Parenti et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Simulation study on defect formation mechanism of the machined surface in milling of high volume fraction SiCp/Al composite
Tao Wang et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Experimental investigation of kerf of Ti6Al4V exposed to different heat treatment processes in WEDM and optimization of parameters using genetic algorithm
Mehmet Altug et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Assessment of surface integrity of Ni superalloy after electrical-discharge, laser and mechanical micro-drilling processes
M. Imran et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Developing a fuzzy multivariate CUSUM control chart to monitor multinomial linguistic quality characteristics
Shahram Ghobadi et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Tool condition monitoring (TCM) using neural networks
Tien-I Liu et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Optimisation of turning parameters by integrating genetic algorithm with support vector regression and artificial neural networks
Amit Kumar Gupta et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Cutting tool tracking and recognition based on infrared and visual imaging systems using principal component analysis (PCA) and discrete wavelet transform (DWT) combined with neural networks
Milad Elgargni et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Chatter prediction in turning process of conical workpieces by using case-based resoning (CBR) method and taguchi design of experiment
Amir Mahyar Khorasani et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2011)
Prediction of surface roughness in the end milling machining using Artificial Neural Network
Azlan Mohd Zain et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Adaptive network-based fuzzy inference system for prediction of surface roughness in end milling process using hybrid Taguchi-genetic learning algorithm
Wen-Hsien Ho et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
The role of stepover ratio in prediction of surface roughness in flat end milling
Eyuep Sabri Topal
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES (2009)
Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel
D. I. Lalwani et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2008)
Artificial-neural-networks-based surface roughness Pokayoke system for end-milling operations
Bernie P. Huang et al.
NEUROCOMPUTING (2008)
Development of a fuzzy-nets-based in-process surface roughness adaptive control system in turning operations
ED Kirby et al.
EXPERT SYSTEMS WITH APPLICATIONS (2006)
Prediction of surface roughness of turned surfaces using neural networks
ZW Zhong et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2006)
Prediction of minimum surface roughness in end milling mold parts using neural network and genetic algorithm
H Oktem et al.
MATERIALS & DESIGN (2006)
Application of response surface methodology in the optimization of cutting conditions for surface roughness
H Öktem et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2005)
Selection of optimum tool geometry and cutting conditions using a surface roughness prediction model for end milling
NSK Reddy et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2005)
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)
Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks
T Özel et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2005)
Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel
T Özel et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2005)
Prediction of surface roughness with genetic programming
M Brezocnik et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2004)
Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations
Y Jiao et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2004)
An adaptive-network based fuzzy inference system for prediction of workpiece surface roughness in end milling
SP Lo
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2003)
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)
Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments
PG Benardos et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2002)
Accurate modeling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system
SY Ho et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2002)
Optimization of feedrate in a face milling operation using a surface roughness model
DK Baek et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2001)
Share Paper
