Prediction of surface roughness in hard turning under high pressure coolant using Artificial Neural Network
In this study, an artificial neural network (ANN) based predictive model of average surface
roughness in turning hardened EN 24T steel has been presented. The prediction was …
roughness in turning hardened EN 24T steel has been presented. The prediction was …
Study of surface roughness and cutting forces using ANN, RSM, and ANOVA in turning of Ti-6Al-4V under cryogenic jets applied at flank and rake faces of coated WC …
This paper presents the analysis of average surface roughness, cutting force, and feed force
in turning of difficult-to-machine Ti-6Al-4V alloy by experimental investigation and …
in turning of difficult-to-machine Ti-6Al-4V alloy by experimental investigation and …
Prediction of cutting forces in hard turning process using machine learning methods: a case study
Accurately predicting cutting forces in hard turning processes can lead to improved process
control, reduced tool wear, and enhanced productivity. This study aims to predict machining …
control, reduced tool wear, and enhanced productivity. This study aims to predict machining …
Modeling of surface roughness using RSM, FL and SA in dry hard turning
This paper presents the development of mathematical, predictive and optimization models of
average surface roughness parameter (R_ a R a) in turning hardened AISI 1060 steel using …
average surface roughness parameter (R_ a R a) in turning hardened AISI 1060 steel using …
Cutting conditions modeling and optimization in hard turning using RSM, ANN and desirability function
Mechanical manufacturing companies are required to produce parts with high quality,
greater accuracy and high productivity to be competitive. For this purpose, the present work …
greater accuracy and high productivity to be competitive. For this purpose, the present work …
On the modeling of surface roughness and cutting force when turning of Inconel 718 using artificial neural network and response surface methodology: accuracy and …
This paper is an attempt to compare artificial neural networks and response surface
methodology for modeling surface roughness and cutting force in terms of better coefficient …
methodology for modeling surface roughness and cutting force in terms of better coefficient …
Application of RSM and ANN in predicting surface roughness for side milling process under environmentally friendly cutting fluid
The paper presents a potential study on prediction of surface roughness in side milling by
optimization techniques approaches. Two methods, response surface methodology (RSM) …
optimization techniques approaches. Two methods, response surface methodology (RSM) …
Study on machinability characteristics of novel additive manufactured titanium alloy (Ti-6Al-4V) fabricated by direct metal laser sintering
R Km, AK Sahoo, BC Routara… - Proceedings of the …, 2023 - journals.sagepub.com
The pressing demand of Ti-6Al-4V (grade 5) in aerospace, medical, marine, and chemical
processing industries has gained momentum in recent years due to its excellent properties …
processing industries has gained momentum in recent years due to its excellent properties …
Optimization of different non-traditional turning processes using soft computing methods
In this study, different non-traditional turning operations were investigated using various soft
computing methods. In these operations, cutting speed, machining method, material type …
computing methods. In these operations, cutting speed, machining method, material type …
An ANN-based method to predict surface roughness in turning operations
In recent years, there has been a growing interest for the prediction of machining
characteristics (such as surface roughness and tool wear) during machining. Several …
characteristics (such as surface roughness and tool wear) during machining. Several …