Prediction of cutting force for self-propelled rotary tool using artificial neural networks

Cutting Force ◽

Rotary Tool ◽

Artificial neural networks back propagation algorithm for cutting force components predictions

Mechanics & Industry ◽

10.1051/meca/2013084 ◽

2013 ◽

Vol 14 (6) ◽

pp. 431-439 ◽

Cited By ~ 2

Author(s):

Issam Hanafi ◽

Francisco Mata Cabrera ◽

Abdellatif Khamlichi ◽

Ignacio Garrido ◽

José Tejero Manzanares

Keyword(s):

Neural Networks ◽

Cutting Force ◽

Back Propagation ◽

Back Propagation Algorithm ◽

Propagation Algorithm ◽

Cutting Force Components ◽

Artificial Neural ◽

Force Components

Sensitivity Analysis of Cutting Force on Milling Process using Factorial Experimental Planning and Artificial Neural Networks

IEEE Latin America Transactions ◽

10.1109/tla.2016.7817015 ◽

2016 ◽

Vol 14 (12) ◽

pp. 4811-4820 ◽

Cited By ~ 4

Author(s):

Eriberto Oliveira do Nascimento ◽

Lucas Nonato de Oliveira

Keyword(s):

Neural Networks ◽

Sensitivity Analysis ◽

Cutting Force ◽

Milling Process ◽

Experimental Planning ◽

Cutting force prediction when green machining of thin-walled Ti-6Al-4V under dry and MQL-cutting using response surface methodology and artificial neural networks-algorithm

10.1063/1.5118035 ◽

2019 ◽

Author(s):

M. Yanis ◽

A. S. Mohruni ◽

S. Sharif ◽

I. Yani ◽

Z. Suzen ◽

...

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Cutting Force ◽

Response Surface ◽

Cutting Force Prediction ◽

Force Prediction ◽

Green Machining ◽

Thin Walled ◽

Surface roughness and cutting force estimation in the CNC turning using artificial neural networks

Management Science Letters ◽

10.5267/j.msl.2015.2.010 ◽

2015 ◽

Vol 5 (4) ◽

pp. 357-362 ◽

Cited By ~ 6

Author(s):

Mohammad Ramezani ◽

Ahmad Afsari

Keyword(s):

Neural Networks ◽

Surface Roughness ◽

Cutting Force ◽

Force Estimation ◽

Cnc Turning ◽

The Influence of Technological Parameters on Cutting Force Components in Milling of Magnesium Alloys with PCD Tools and Prediction with Artificial Neural Networks

Lecture Notes in Mechanical Engineering - Advances in Manufacturing II ◽

10.1007/978-3-030-16943-5_16 ◽

2019 ◽

pp. 176-188 ◽

Cited By ~ 1

Author(s):

Ireneusz Zagórski ◽

Monika Kulisz

Keyword(s):

Neural Networks ◽

Cutting Force ◽

Magnesium Alloys ◽

Technological Parameters ◽

Cutting Force Components ◽

Artificial Neural ◽

Force Components ◽

Pcd Tools

Cutting force modeling using artificial neural networks

Journal of Materials Processing Technology ◽

10.1016/s0924-0136(99)00183-1 ◽

1999 ◽

Vol 92-93 ◽

pp. 344-349 ◽

Cited By ~ 33

Author(s):

Tamas Szecsi

Keyword(s):

Neural Networks ◽

Cutting Force ◽

Force Modeling ◽

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Organizational Issues ◽

Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Diagnosis And Prognosis ◽