Surface roughness prediction using Taguchi-fuzzy logic-neural network analysis for CNT nanofluids based grinding process

Neural Computing and Applications ◽

10.1007/s00521-014-1696-8 ◽

2014 ◽

Vol 26 (1) ◽

pp. 41-55 ◽

Author(s):

S. Prabhu ◽

M. Uma ◽

B. K. Vinayagam

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Fuzzy Logic ◽

Network Analysis ◽

Grinding Process ◽

Neural Network Analysis ◽

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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Review of Surface Roughness Prediction in Cylindrical Grinding process by using RSM and ANN

International Journal of Recent Trends in Engineering and Research ◽

10.23883/ijrter.2018.4423.3drtl ◽

2018 ◽

Vol 4 (12) ◽

pp. 59-65 ◽

Keyword(s):

Surface Roughness ◽

Grinding Process ◽

Surface Roughness Prediction ◽

Cylindrical Grinding ◽

Roughness Prediction

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Surface Roughness Prediction in Grinding Process of the SKD11 Steel by using Response Surface Method

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/758/1/012029 ◽

2020 ◽

Vol 758 ◽

pp. 012029

Author(s):

N Hong Son ◽

D Duc Trung ◽

Nhu-Tung Nguyen

Keyword(s):

Surface Roughness ◽

Response Surface ◽

Response Surface Method ◽

Grinding Process ◽

Surface Roughness Prediction ◽

Surface Method ◽

Roughness Prediction

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An In-Process Neural Network-Based Surface Roughness Prediction (INN-SRP) System Using a Dynamometer in End Milling Operations

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s001700300039 ◽

2003 ◽

Vol 21 (5) ◽

pp. 339-347 ◽

Author(s):

J.C. Chen ◽

B. Huang

Keyword(s):

Neural Network ◽

Surface Roughness ◽

End Milling ◽

Surface Roughness Prediction ◽

Milling Operations ◽

Roughness Prediction

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Study on micro-interacting mechanism modeling in grinding process and ground surface roughness prediction

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-012-4546-9 ◽

2012 ◽

Vol 67 (5-8) ◽

pp. 1035-1052 ◽

Author(s):

Jingliang Jiang ◽

Peiqi Ge ◽

Jun Hong

Keyword(s):

Surface Roughness ◽

Ground Surface ◽

Grinding Process ◽

Surface Roughness Prediction ◽

Roughness Prediction ◽

Mechanism Modeling ◽

Ground Surface Roughness

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Surface roughness prediction based upon experimental design and neural network models

IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2002.1176341 ◽

2003 ◽

Author(s):

N. Ben Fredj ◽

R. Amamou ◽

M.A. Rezgui

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Experimental Design ◽

Network Models ◽

Neural Network Models ◽

Surface Roughness Prediction ◽

Roughness Prediction

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Research on Surface Roughness Prediction of Turning Parts Based on BP Artificial Neural Network

Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017) ◽

10.2991/ifmeita-17.2018.23 ◽

2018 ◽

Author(s):

Ping Wang ◽

Hui Zhang ◽

Peiqing Ye ◽

Tong Zhao ◽

Qi Sun

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Artificial Neural Network ◽

Surface Roughness Prediction ◽

Bp Artificial Neural Network ◽

Roughness Prediction ◽

Artificial Neural

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Comparison of artificial neural network, fuzzy logic and genetic algorithm for cutting temperature and surface roughness prediction during the face milling process

Advances in Production Engineering & Management ◽

10.14743/apem2020.2.354 ◽

2020 ◽

Vol 15 (2) ◽

pp. 137-150

Author(s):

B. Savkovic ◽

P. Kovac ◽

D. Rodic ◽

B. Strbac ◽

S. Klancnik

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Surface Roughness ◽

Artificial Neural Network ◽

Fuzzy Logic ◽

Cutting Temperature ◽

Milling Process ◽

Face Milling ◽

The Face ◽

Roughness Prediction

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Neural Network and Fuzzy Logic based prediction of Surface Roughness and MRR in Cylindrical Grinding Process

Materials Today Proceedings ◽

10.1016/j.matpr.2017.07.154 ◽

2017 ◽

Vol 4 (8) ◽

pp. 8134-8141 ◽

Author(s):

N. Sudheer Kumar Varma ◽

S. Rajesh ◽

K. Sita Rama Raju ◽

V.V. Murali Krishnam Raju

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Fuzzy Logic ◽

Grinding Process ◽

Cylindrical Grinding

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Artificial Neural Network Application for Surface Roughness Prediction when Drilling Nickel Based Alloy

MANUFACTURING TECHNOLOGY ◽

10.21062/ujep/x.2013/a/1213-2489/mt/13/2/193 ◽

2013 ◽

Vol 13 (2) ◽

pp. 193-199 ◽

Author(s):

Ildikó Maňková ◽

Marek Vrabeľ ◽

Pavel Kovac

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Artificial Neural Network ◽

Surface Roughness Prediction ◽

Roughness Prediction ◽

Nickel Based Alloy ◽

Network Application ◽

Artificial Neural

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