Prediction of cutting force via machine learning: state of the art, challenges and potentials
Cutting force is a critical factor that reflects the machining states and affects tool wear, cutting
stability, and the quality of the machined surface. Accurate prediction of cutting force has …
stability, and the quality of the machined surface. Accurate prediction of cutting force has …
Prediction of Thrust Force and Torque for High-Speed Drilling of AL6061 with TMPTO-Based Bio-Lubricants Using Machine Learning
This study was designed to examine the effects of a trimethylolpropane trioleate (TMPTO)-
based lubricant on thrust force and torque under the high-speed drilling of Al-6061 as an …
based lubricant on thrust force and torque under the high-speed drilling of Al-6061 as an …
Analyzing the efficacy of trimethylolpropane trioleate oil for predicting cutting power and surface roughness in high-speed drilling of Al-6061 through machine learning
This study aimed to investigate the impact of a lubricant derived from trimethylolpropane
trioleate on power consumption and surface roughness during high-speed drilling of Al …
trioleate on power consumption and surface roughness during high-speed drilling of Al …
[HTML][HTML] Ann-based predictive model of geometrical deviations in dry turning of AA7075 (Al-Zn) alloy
This work presents the use of a shallow feedforward artificial neural network (ANN) to
develop a prediction model for geometrical deviations in the dry turning of the AA7075 (Al …
develop a prediction model for geometrical deviations in the dry turning of the AA7075 (Al …
Ann-based predictive model of geometrical deviations in dry turning of AA7075 (Al-Zn) alloy
This work presents the use of a shallow feedforward artificial neural network (ANN) to
develop a prediction model for geometrical deviations in the dry turning of the AA7075 (Al …
develop a prediction model for geometrical deviations in the dry turning of the AA7075 (Al …
A Comparative Study on Prediction of Cutting Force using Artificial Neural Network and Genetic Algorithm during Machining of Ti-6Al-4V
R Barreto, RR Malagi, SR Chougula - Journal of Manufacturing …, 2022 - smenec.org
The purpose of this comparative study is to improve the predictive accuracy of the cutting
force during the turning of Ti-6Al-4V on a lathe machine. By optimizing the machining …
force during the turning of Ti-6Al-4V on a lathe machine. By optimizing the machining …
Applications of artificial neural networks in machining processes: a comprehensive review
S Chakraborty, S Chakraborty - International Journal on Interactive Design …, 2024 - Springer
In the present era of artificial intelligence and machine learning, artificial neural networks
(ANNs) have appeared as one of the potent tools in modeling the complex nonlinear …
(ANNs) have appeared as one of the potent tools in modeling the complex nonlinear …