Modelling of tool wear and surface roughness in hard turning using regression and artificial neural network

Tool Wear ◽

Hard Turning ◽

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 ◽

Cited By ~ 8

Author(s):

N. Senthilkumar ◽

T. Tamizharasan

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Hard Turning ◽

Flank Wear ◽

Surface Roughness Prediction ◽

Multiple Regressions ◽

Roughness Prediction ◽

Communications in Computer and Information Science - Information, Communication and Computing Technology ◽

Soft Modeling Approach in Predicting Surface Roughness, Temperature, Cutting Forces in Hard Turning Process Using Artificial Neural Network: An Empirical Study

10.1007/978-981-15-1384-8_17 ◽

2019 ◽

pp. 206-215

Author(s):

Navriti Gupta ◽

A. K. Agrawal ◽

R. S. Walia

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Empirical Study ◽

Cutting Forces ◽

Hard Turning ◽

Turning Process ◽

Modeling Approach ◽

Artificial Neural ◽

Soft Modeling

Prediction of surface roughness in hard turning under high pressure coolant using Artificial Neural Network

Measurement ◽

10.1016/j.measurement.2016.06.048 ◽

2016 ◽

Vol 92 ◽

pp. 464-474 ◽

Cited By ~ 96

Author(s):

Mozammel Mia ◽

Nikhil Ranjan Dhar

Keyword(s):

Neural Network ◽

Surface Roughness ◽

High Pressure ◽

Hard Turning ◽

Artificial Neural ◽

High Pressure Coolant

Predictions of Tool Wear in Hard Turning of AISI4140 Steel through Artificial Neural Network, Fuzzy Logic and Regression Models

International Journal of Engineering ◽

10.5829/ije.2018.31.01a.05 ◽

2018 ◽

Vol 31 (1) ◽

Keyword(s):

Neural Network ◽

Fuzzy Logic ◽

Tool Wear ◽

Regression Models ◽

Hard Turning ◽

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

A multi-sensor fusion model based on artificial neural network to predict tool wear during hard turning

10.1177/0954405411432381 ◽

2012 ◽

Vol 226 (5) ◽

pp. 853-860 ◽

Cited By ~ 34

Author(s):

P Sam Paul ◽

AS Varadarajan

Keyword(s):

Neural Network ◽

Tool Wear ◽

Sensor Fusion ◽

Hard Turning ◽

Fusion Model ◽

Model Based ◽

Application Of Regression And Artificial Neural Network Analysis In Modelling Of Surface Roughness In Hard Turning Of AISI 52100 Steel

Materials Today Proceedings ◽

10.1016/j.matpr.2017.12.050 ◽

2018 ◽

Vol 5 (2) ◽

pp. 4766-4777 ◽

Cited By ~ 7

Author(s):

Uma Maheshwera Reddy Paturi ◽

Harish Devarasetti ◽

Suresh Kumar Reddy Narala

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Network Analysis ◽

Hard Turning ◽

Neural Network Analysis ◽

Aisi 52100 ◽

Artificial Neural Network Analysis ◽

Aisi 52100 Steel ◽

Prediction of cutting tool wear, surface roughness and vibration of work piece in boring of AISI 316 steel with artificial neural network

Measurement ◽

10.1016/j.measurement.2014.01.024 ◽

2014 ◽

Vol 51 ◽

pp. 63-70 ◽

Cited By ~ 70

Author(s):

K. Venkata Rao ◽

B.S.N. Murthy ◽

N. Mohan Rao

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Tool Wear ◽

Wear Surface ◽

Cutting Tool ◽

Work Piece ◽

Cutting Tool Wear ◽

Artificial Neural ◽

Aisi 316

Effect of time-controlled MQL pulsing on surface roughness in hard turning by statistical analysis and artificial neural network

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-016-9978-1 ◽

2017 ◽

Vol 91 (9-12) ◽

pp. 3211-3223 ◽

Cited By ~ 47

Author(s):

Mozammel Mia ◽

Mashrat Hasan Razi ◽

Istiaq Ahmad ◽

Rafid Mostafa ◽

Sheikh M. S. Rahman ◽

...

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Statistical Analysis ◽

Hard Turning ◽

Mathematical Modelling and Optimization of Cutting Force, Tool Wear and Surface Roughness by Using Artificial Neural Network and Response Surface Methodology in Milling of Ti-6242S

Applied Sciences ◽

10.3390/app7101064 ◽

2017 ◽

Vol 7 (10) ◽

pp. 1064 ◽

Cited By ~ 37

Author(s):

Erol Kilickap ◽

Ahmet Yardimeden ◽

Yahya Hışman Çelik

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Response Surface Methodology ◽

Tool Wear ◽

Mathematical Modelling ◽

Cutting Force ◽

Response Surface ◽

Artificial Neural ◽

Modelling And Optimization

Artificial Neural Network Assisted Sensor Fusion Model for Predicting Surface Roughness During Hard Turning of H13 Steel with Minimal Cutting Fluid Application

Procedia Materials Science ◽

10.1016/j.mspro.2014.07.477 ◽

2014 ◽

Vol 5 ◽

pp. 2338-2346 ◽

Cited By ~ 3

Author(s):

J. Gerald Anto Arulraj ◽

K. Leo Dev Wins ◽

Anil Raj

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Sensor Fusion ◽

Hard Turning ◽

Cutting Fluid ◽

Fusion Model ◽

H13 Steel ◽