Deep learning-driven data curation and model interpretation for smart manufacturing

J Zhang, RX Gao - Chinese Journal of Mechanical Engineering, 2021 - Springer
Characterized by self-monitoring and agile adaptation to fast changing dynamics in complex
production environments, smart manufacturing as envisioned under Industry 4.0 aims to …

Research progress on intelligent monitoring of tool condition based on deep learning

D Cao, W Liu, J Ge, S Du, W Liu, Z Deng… - The International Journal …, 2024 - Springer
Intelligent monitoring of tool condition is the key to ensuring workshop manufacturing
efficiency, product machining quality, and accuracy, and is also an indispensable part of …

Comparing the performance of neural networks developed by using Levenberg–Marquardt and Quasi-Newton with the gradient descent algorithm for modelling a …

I Mukherjee, S Routroy - Expert Systems with Applications, 2012 - Elsevier
Monitoring and control of multiple process quality characteristics (responses) in grinding
plays a critical role in precision parts manufacturing industries. Precise and accurate …

[HTML][HTML] Improving minimum quantity lubrication in CBN grinding using compressed air wheel cleaning

D de Jesus Oliveira, LG Guermandi, EC Bianchi… - Journal of Materials …, 2012 - Elsevier
The application of minimum quantity lubrication (MQL) in grinding has emerged as an
alternative for reducing the abundant flow of cutting fluids, thus achieving cleaner …

Grinding performance using variants of the MQL technique: MQL with cooled air and MQL simultaneous to the wheel cleaning jet

JC Lopes, MV Garcia, M Valentim, RL Javaroni… - … International Journal of …, 2019 - Springer
The hardening of legislation in favor of socio-environmental preservation and the
sustainable focus of industry are changing the current manufacturing methods, among which …

Grinding process applied to workpieces with different geometries interrupted using CBN wheel

RL Rodriguez, JC Lopes, MV Garcia… - … International Journal of …, 2020 - Springer
Although the fact that the interrupted cutting process is widely employed in traditional
machining operations such as turning of crankshafts, engine piston ring, and helical tool …

Modeling of the material removal rate in internal cylindrical plunge electrochemical grinding

X Ma, F Jiao, Y Niu, X Wang, Z Hu, W Bie… - Journal of Manufacturing …, 2023 - Elsevier
The material removal rate (MRR) in the internal cylindrical plunge electrochemical grinding
(ICPECG) is hard to assess because it involves two feed motions: workpiece circumferential …

Effects of abrasive type cooling mode and peripheral grinding wheel speed on the AISI D2 steel ground surface integrity

BB Fathallah, NB Fredj, H Sidhom, C Braham… - International Journal of …, 2009 - Elsevier
In this work the AISI D2 steel ground surface integrity was evaluated at different grinding
conditions. Two sets of experiments were conducted. The first and the second sets are …

[HTML][HTML] Surface conditioning in cutting and abrasive processes

V Schulze, J Aurich, IS Jawahir, B Karpuschewski… - CIRP Annals, 2024 - Elsevier
Cutting and abrasive processes affect the surface layer state of the components treated. This
determines their performance in service. An adjustment of the surface layer properties would …

An intelligent grinding burn detection system based on two-stage feature selection and stacked sparse autoencoder

W Guo, B Li, S Shen, Q Zhou - The International Journal of Advanced …, 2019 - Springer
Grinding burn is a typical quality defect that negatively affects microstructures and
mechanical properties of parts. In this article, an intelligent grinding burn detection system …