Power Prediction Model for Milling 618 Stainless Steel Using Response Surface Methodology

American Journal of Applied Sciences ◽

10.3844/ajassp.2005.1182.1187 ◽

2005 ◽

Vol 2 (7) ◽

pp. 1182-1187 ◽

Author(s):

K. Kadirgama ◽

K.A. Abou-El-Ho

Keyword(s):

Stainless Steel ◽

Response Surface Methodology ◽

Prediction Model ◽

Response Surface ◽

Power Prediction

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Cutting power prediction model for turning of GFRP composites using response surface methodology

International Journal of Engineering Science and Technology ◽

10.4314/ijest.v3i6.13 ◽

2012 ◽

Vol 3 (6) ◽

Author(s):

SA Hussain ◽

V Pandurangadu ◽

KP Kumar

Keyword(s):

Response Surface Methodology ◽

Prediction Model ◽

Response Surface ◽

Gfrp Composites ◽

Power Prediction ◽

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Force Prediction Model for Milling 618 Stainless Steel Using Response Surface Methodology

American Journal of Applied Sciences ◽

10.3844/ajassp.2005.1222.1227 ◽

2005 ◽

Vol 2 (8) ◽

pp. 1222-1227

Author(s):

K. Kadirgama ◽

K.A. Abou-El-Ho

Keyword(s):

Stainless Steel ◽

Response Surface Methodology ◽

Prediction Model ◽

Response Surface ◽

Force Prediction

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Torque Prediction Model for Milling 618 Stainless Steel Using Response Surface Methodology

Journal of Applied Sciences ◽

10.3923/jas.2006.518.523 ◽

2006 ◽

Vol 6 (3) ◽

pp. 518-523

Author(s):

K. Kadirgama ◽

K.A. Abou-El- Hossein

Keyword(s):

Stainless Steel ◽

Response Surface Methodology ◽

Prediction Model ◽

Response Surface

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Power Prediction Model for Turning EN-31 Steel Using Response Surface Methodology

Journal of Engineering Science and Technology Review ◽

10.25103/jestr.031.20 ◽

2010 ◽

Vol 3 (1) ◽

pp. 116-122 ◽

Author(s):

L. B. Abhang ◽

◽

M. Hameedullah ◽

Keyword(s):

Response Surface Methodology ◽

Prediction Model ◽

Response Surface ◽

Power Prediction ◽

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Prediction of surface roughness in turning of duplex stainless steel (DSS) using response surface methodology (RSM) and artificial neural network (ANN)

Materials Today Proceedings ◽

10.1016/j.matpr.2021.05.118 ◽

2021 ◽

Author(s):

Mahesh Gopal

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Artificial Neural Network ◽

Stainless Steel ◽

Response Surface Methodology ◽

Duplex Stainless Steel ◽

Response Surface ◽

Artificial Neural ◽

Artificial Neural Network Ann

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A prediction model of layer geometrical size in wire and arc additive manufacture using response surface methodology

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-015-8147-2 ◽

2015 ◽

Vol 93 (1-4) ◽

pp. 175-186 ◽

Author(s):

Haibin Geng ◽

Jiangtao Xiong ◽

Dan Huang ◽

Xin Lin ◽

Jinglong Li

Keyword(s):

Response Surface Methodology ◽

Prediction Model ◽

Response Surface ◽

Additive Manufacture ◽

Geometrical Size

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Development of flank wear prediction model of Zirconia Toughened Alumina (ZTA) cutting tool using response surface methodology

International Journal of Refractory Metals and Hard Materials ◽

10.1016/j.ijrmhm.2010.12.001 ◽

2011 ◽

Vol 29 (2) ◽

pp. 273-280 ◽

Author(s):

Nilrudra Mandal ◽

B. Doloi ◽

B. Mondal

Keyword(s):

Response Surface Methodology ◽

Prediction Model ◽

Response Surface ◽

Cutting Tool ◽

Wear Prediction ◽

Zirconia Toughened Alumina

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Optimization of machining parameters using response surface methodology with desirability function in turning duplex stainless steel UNS S32760

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-07690-3 ◽

2021 ◽

Author(s):

Luiz G. Cardoso ◽

Deise S. Madeira ◽

Thulio E. P. A. Ricomini ◽

Rubén A. Miranda ◽

Tarcísio G. Brito ◽

...

Keyword(s):

Stainless Steel ◽

Response Surface Methodology ◽

Duplex Stainless Steel ◽

Response Surface ◽

Desirability Function ◽

Machining Parameters

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Experimental investigation and modelling of MQL assisted turning process during machining of 15-5 PH stainless steel using response surface methodology

SN Applied Sciences ◽

10.1007/s42452-019-0827-3 ◽

2019 ◽

Vol 1 (8) ◽

Author(s):

P. Sivaiah

Keyword(s):

Experimental Investigation ◽

Stainless Steel ◽

Response Surface Methodology ◽

Response Surface ◽

Turning Process

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Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel

2007 IEEE International Conference on Industrial Engineering and Engineering Management ◽

10.1109/ieem.2007.4419516 ◽

2007 ◽

Author(s):

A.M.K. Hafiz ◽

A.K.M.N. Amin ◽

A.N.M. Karim ◽

M.A. Lajis

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Prediction Model ◽

Response Surface ◽

End Milling ◽

H13 Tool Steel ◽

Roughness Prediction ◽

Aisi H13 ◽

Aisi H13 Tool Steel

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