Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations

International Journal of Machine Tools and Manufacture ◽

10.1016/j.ijmachtools.2004.06.004 ◽

2004 ◽

Vol 44 (15) ◽

pp. 1643-1651 ◽

Author(s):

Yue Jiao ◽

Shuting Lei ◽

Z.J. Pei ◽

E.S. Lee

Keyword(s):

Surface Roughness ◽

Process Modeling ◽

Machining Process ◽

Adaptive Networks ◽

Turning Operations ◽

Surface Roughness Prediction ◽

Roughness Prediction ◽

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A fuzzy-nets-based in-process surface roughness prediction system in turning operations

International Journal of Knowledge-based and Intelligent Engineering Systems ◽

10.3233/kes-2004-8105 ◽

2004 ◽

Vol 8 (1) ◽

pp. 37-44 ◽

Author(s):

L.H. Huang ◽

J.C. Chen

Keyword(s):

Surface Roughness ◽

Prediction System ◽

Turning Operations ◽

Surface Roughness Prediction ◽

Roughness Prediction ◽

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Surface roughness prediction based on cutting parameters and tool vibrations in turning operations

Journal of Materials Processing Technology ◽

10.1016/s0924-0136(01)00959-1 ◽

2001 ◽

Vol 118 (1-3) ◽

pp. 269-277 ◽

Author(s):

O.B. Abouelatta ◽

J. Mádl

Keyword(s):

Surface Roughness ◽

Cutting Parameters ◽

Turning Operations ◽

Surface Roughness Prediction ◽

Roughness Prediction ◽

Tool Vibrations

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Review of Surface Roughness Prediction in Machining Process by Using various Parameters

International Journal of Recent Trends in Engineering and Research ◽

10.23883/ijrter.2020.6002.vulm3 ◽

2020 ◽

Vol 06 (01) ◽

pp. 7-12 ◽

Author(s):

RADHAKRISHNAN B ◽

RADHAKRISHNAN B

Keyword(s):

Surface Roughness ◽

Machining Process ◽

Surface Roughness Prediction ◽

Roughness Prediction

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Development of a fuzzy-nets-based surface roughness prediction system in turning operations

Computers & Industrial Engineering ◽

10.1016/j.cie.2006.06.018 ◽

2007 ◽

Vol 53 (1) ◽

pp. 30-42 ◽

Author(s):

E. Daniel Kirby ◽

Joseph C. Chen

Keyword(s):

Surface Roughness ◽

Prediction System ◽

Turning Operations ◽

Surface Roughness Prediction ◽

Roughness Prediction ◽

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Fuzzy adaptive networks in machining process modelling: dimensional error prediction for turning operations

International Journal of Production Research ◽

10.1080/00207540500031964 ◽

2005 ◽

Vol 43 (14) ◽

pp. 2931-2948 ◽

Author(s):

Y. Jiao ◽

Z. J. Pei ◽

S. Lei ◽

E. S. Lee * ◽

G. R. Fisher

Keyword(s):

Process Modelling ◽

Machining Process ◽

Error Prediction ◽

Adaptive Networks ◽

Dimensional Error ◽

Turning Operations ◽

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A Bayesian network model for surface roughness prediction in the machining process

International Journal of Systems Science ◽

10.1080/00207720802344683 ◽

2008 ◽

Vol 39 (12) ◽

pp. 1181-1192 ◽

Author(s):

M. Correa ◽

C. Bielza ◽

M. de J. Ramirez ◽

J.R. Alique

Keyword(s):

Surface Roughness ◽

Bayesian Network ◽

Network Model ◽

Machining Process ◽

Bayesian Network Model ◽

Surface Roughness Prediction ◽

Roughness Prediction

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Intelligent Manufacturing Monitoring and Surface Roughness Prediction System – A Case Study of Aluminum Parts Milling

2020 International Automatic Control Conference (CACS) ◽

10.1109/cacs50047.2020.9289771 ◽

2020 ◽

Author(s):

Po-Yang Chen ◽

Ya-Wen Hsu ◽

Ming-Chan Lee ◽

Jau-Woei Perng

Keyword(s):

Surface Roughness ◽

Intelligent Manufacturing ◽

Prediction System ◽

Surface Roughness Prediction ◽

System A ◽

Roughness Prediction

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Surface roughness prediction model of GH4169 superalloy abrasive belt grinding based on multilayer perceptron(MLP)

Procedia Manufacturing ◽

10.1016/j.promfg.2021.07.042 ◽

2021 ◽

Vol 54 ◽

pp. 269-273

Author(s):

Guijian Xiao ◽

Jiazheng Xing ◽

Youdong Zhang

Keyword(s):

Surface Roughness ◽

Prediction Model ◽

Multilayer Perceptron ◽

Belt Grinding ◽

Surface Roughness Prediction ◽

Abrasive Belt ◽

Roughness Prediction ◽

Gh4169 Superalloy

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Surface roughness prediction in milling based on tool displacements

Journal of Manufacturing Processes ◽

10.1016/j.jmapro.2011.02.003 ◽

2011 ◽

Vol 13 (2) ◽

pp. 133-140 ◽

Author(s):

Jean Philippe Costes ◽

Vincent Moreau

Keyword(s):

Surface Roughness ◽

Surface Roughness Prediction ◽

Roughness Prediction

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Flank wear and surface roughness prediction in hard turning via artificial neural network and multiple regressions

Australian Journal of Mechanical Engineering ◽

10.7158/m13-045.2015.13.1 ◽

2015 ◽

Vol 13 (1) ◽

pp. 31-45 ◽

Author(s):

N. Senthilkumar ◽

T. Tamizharasan

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Artificial Neural Network ◽

Hard Turning ◽

Surface Roughness Prediction ◽

Multiple Regressions ◽

Roughness Prediction ◽

Artificial Neural

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