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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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-nets based approach to using an accelerometer for an in-process surface roughness prediction system in milling operations

International Journal of Computer Integrated Manufacturing ◽

10.1080/095119200407714 ◽

2000 ◽

Vol 13 (4) ◽

pp. 358-368 ◽

Author(s):

Joseph C. Chen ◽

Mike S. Lou

Keyword(s):

Surface Roughness ◽

Prediction System ◽

Surface Roughness Prediction ◽

Milling Operations ◽

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 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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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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In-process surface roughness prediction system using cutting vibrations in turning

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-008-1698-8 ◽

2008 ◽

Vol 43 (1-2) ◽

pp. 40-51 ◽

Author(s):

D. R. Salgado ◽

F. J. Alonso ◽

I. Cambero ◽

A. Marcelo

Keyword(s):

Surface Roughness ◽

Prediction System ◽

Surface Roughness Prediction ◽

Cutting Vibrations ◽

Roughness Prediction

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Development of a neural network based surface roughness prediction system using cutting parameters and an accelerometer in turning

2010 IEEE International Conference on Electro/Information Technology ◽

10.1109/eit.2010.5612190 ◽

2010 ◽

Author(s):

Ilhan Asilturk ◽

Ali Unuvar

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Cutting Parameters ◽

Prediction System ◽

Surface Roughness Prediction ◽

Roughness Prediction

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STATISTICAL ASSISTED FUZZY-NETS BASED IN-PROCESS SURFACE ROUGHNESS PREDICTION (S-FN-IPSRP) SYSTEM IN END MILLING OPERATIONS

Journal of the Chinese Institute of Industrial Engineers ◽

10.1080/10170660309509255 ◽

2003 ◽

Vol 20 (5) ◽

pp. 494-510

Author(s):

Lieh-Dai Yang ◽

Joseph C. Chen

Keyword(s):

Surface Roughness ◽

End Milling ◽

Surface Roughness Prediction ◽

Milling Operations ◽

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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