4.7 Article

Support vector machines models for surface roughness prediction in CNC turning of AISI 304 austenitic stainless steel

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Industrial

Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel

M. Anthony Xavior et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2009)

Article Engineering, Industrial

Optimization of machining parameters of Al/SiC-MMC with ANOVA and ANN analysis

N. Muthukrishnan et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2009)

Article Computer Science, Artificial Intelligence

Estimation of cutting forces and surface roughness for hard turning using neural networks

Vishal S. Sharma et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2008)

Article Engineering, Industrial

A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method

Ulas Caydas et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2008)

Article Engineering, Industrial

Modeling of surface roughness in precision machining of metal matrix composites using ANN

Abeesh C. Basheer et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2008)

Article Engineering, Industrial

Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models

J. Paulo Davim et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2008)

Article Engineering, Industrial

Predictive machinability models for a selected hard material in turning operations

A. M. A. Al-Ahmari

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2007)

Article Engineering, Industrial

Modelling of surface finish and tool flank wear in turning of AISI D2 steel with ceramic wiper inserts

Tugrul Ozel et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2007)

Article Engineering, Industrial

A multivariate hybrid approach applied to AISI 52100 hardened steel turning optimization

Anderson P. Paiva et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2007)

Article Engineering, Mechanical

Tool wear predictive model based on least squares support vector machines

Dongfeng Shi et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)

Article Engineering, Electrical & Electronic

Fault classification and section identification of an advanced series-compensated transmission line using support vector machine

P. K. Dash et al.

IEEE TRANSACTIONS ON POWER DELIVERY (2007)

Article Computer Science, Artificial Intelligence

The development of an in-process surface roughness adaptive control system in turning operations

Julie Z. Zhang et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2007)

Article Automation & Control Systems

Investigation of surface roughness in turning unidirectional GFRP composites by using RS methodology and ANN

Eyup Bagci et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2006)

Article Computer Science, Artificial Intelligence

Surface roughness prediction in turning using artificial neural network

SK Pal et al.

NEURAL COMPUTING & APPLICATIONS (2005)

Article Engineering, Manufacturing

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)

Article Engineering, Electrical & Electronic

Artificial neural network and support vector machine approach for locating faults in radial distribution systems

D Thukaram et al.

IEEE TRANSACTIONS ON POWER DELIVERY (2005)

Article Engineering, Manufacturing

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)

Article Materials Science, Multidisciplinary

Determination of optimum cutting parameters during machining of AISI 304 austenitic stainless steel

I Korkut et al.

MATERIALS & DESIGN (2004)

Article Engineering, Electrical & Electronic

Accurate fault location in the power transmission line using support vector machine approach

R Salat et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2004)

Article Computer Science, Artificial Intelligence

Support vector machine with adaptive parameters in financial time series forecasting

LJ Cao et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2003)

Article Engineering, Industrial

Machinability data representation with artificial neural network

SV Wong et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2003)

Review Engineering, Manufacturing

Predicting surface roughness in machining: a review

PG Benardos et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2003)

Article Engineering, Industrial

Hybrid approach to surface roughness evaluation in multistage machining processes

W Grzesik et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2003)

Article Engineering, Industrial

Machinability of austenitic stainless steel SS303

D O'Sullivan et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2002)

Article Engineering, Industrial

A study of tool life in hot machining using artificial neural networks and regression analysis method

N Tosun et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2002)

Article Engineering, Manufacturing

A genetic algorithmic approach for optimization of surface roughness prediction model

PVS Suresh et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2002)

Article Engineering, Manufacturing

Surface roughness inspection by computer vision in turning operations

BY Lee et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2001)