[HTML][HTML] Multi-sensor fusion and machine learning-driven sequence-to-sequence translation for interpretable process signature prediction in machining
During machining, kinetic energy is imparted to a workpiece to remove material. The
integrity of the machined surface, which depends on the energy transfer, affects the quality …
integrity of the machined surface, which depends on the energy transfer, affects the quality …
An edge intelligence-based model deployment method for CNC systems
Z Zhou, D Yu, M Chen, Y Qiao, Y Hu, W He - Journal of Manufacturing …, 2024 - Elsevier
Intelligent manufacturing has garnered widespread attention due to its potential to enhance
production efficiency and product quality. However, effective resource management remains …
production efficiency and product quality. However, effective resource management remains …
Deep ensemble learning for material removal rate prediction in chemical mechanical planarization with pad surface topography
J Jeong, Y Shin, S Jeong, S Jeong, H Jeong - Precision Engineering, 2024 - Elsevier
Chemical mechanical planarization (CMP) stands as a critical process in semiconductor
manufacturing, necessitating precise prediction of material removal rate (MRR) to achieve …
manufacturing, necessitating precise prediction of material removal rate (MRR) to achieve …
Bayesian Additive Regression Networks
D Van Boxel - arXiv preprint arXiv:2404.04425, 2024 - arxiv.org
We apply Bayesian Additive Regression Tree (BART) principles to training an ensemble of
small neural networks for regression tasks. Using Markov Chain Monte Carlo, we sample …
small neural networks for regression tasks. Using Markov Chain Monte Carlo, we sample …
Surface roughness prediction in the hardened steel ball-end milling by using the Artificial Neural Networks and Taguchi Method
A Matras - Advances in Science and Technology. Research …, 2024 - yadda.icm.edu.pl
The paper provides an analysis of the impact of the values of cutting tool inclination
strategies and angles measured in the parallel and perpendicular to feed direction, radial …
strategies and angles measured in the parallel and perpendicular to feed direction, radial …
Bayesian Additive Regression Networks (BARN): A Machine Learning Algorithm and Scientific Software Library
D Van Boxel - 2024 - repository.arizona.edu
We apply Bayesian Additive Regression Tree (BART) principles to training an ensemble of
small neural networks for regression tasks. Using Markov Chain Monte Carlo, we sample …
small neural networks for regression tasks. Using Markov Chain Monte Carlo, we sample …
Modelling and Optimization Method for Energy Saving of Cnc Machine Tools Under Operating Condition
L Wang, P Wei, W Li, L Du - Available at SSRN 4819935 - papers.ssrn.com
The widespread application of machine tools in industry results in very high energy
consumption. In order to save energy, it is an effective means to reduce the processing …
consumption. In order to save energy, it is an effective means to reduce the processing …
A Novel Adaptive Chaotic Chimp Algorithm for Multi-Objective Milling Parameter Optimization
L Wang, P Wei, W Li, L Du - Available at SSRN 4671457 - papers.ssrn.com
Abstract Machine tools play a vital role in the manufacturing industry, and the milling
parameters of machine tools directly affect their performance. Suitable milling parameters …
parameters of machine tools directly affect their performance. Suitable milling parameters …