[PDF][PDF] 面向智能制造的刀具全生命周期智能管控技术

刘献礼, 李雪冰, 丁明娜, 岳彩旭, 王力翚, 梁月昇… - 机械工程 …, 2021 - scholar.archive.org
智能制造是未来制造业的主攻方向, 以航空航天, 汽车领域为代表的高端制造装备关乎国防安全
和国家经济命脉. 复杂多样化的零部件加工对刀具管控提出了更高的要求 …

Research on the milling tool wear and life prediction by establishing an integrated predictive model

Y Yang, Y Guo, Z Huang, N Chen, L Li, Y Jiang, N He - Measurement, 2019 - Elsevier
As the tool wear increases, the surface quality of the workpiece will decrease, and even the
workpiece will be scrapped. Therefore, in order to obtain a better machined workpiece …

A review of cutting tool life prediction through flank wear monitoring

M Das, VNA Naikan, SC Panja - International Journal of Quality & …, 2024 - emerald.com
Purpose The aim of this paper is to review the literature on the prediction of cutting tool life.
Tool life is typically estimated by predicting the time to reach the threshold flank wear width …

Tool health monitoring and prediction via attention-based encoder-decoder with a multi-step mechanism

B Guo, Q Zhang, Q Peng, J Zhuang, F Wu… - The International Journal …, 2022 - Springer
In metal cutting processing, prediction of the tool wear or VB value can help early warning
and timely tool replacement before the tool reaches the service life. Although the deep …

[HTML][HTML] Conventional Machining of Metal Matrix Composites towards Sustainable Manufacturing—Present Scenario and Future Prospects

EM Gutema, HG Lemu - Journal of Composites Science, 2024 - mdpi.com
Metal matrix composites (MMCs) epitomize a promising class of resources in modern
manufacturing, offering an enhanced strength-to-weight ratio and high-temperature …

Experimental study on EDM of network microstructure titanium matrix composites

Y Hu, L Zhang, Z Wang - Materials and Manufacturing Processes, 2024 - Taylor & Francis
The network microstructure titanium matrix composites (NMTMCs) exhibit excellent
properties but research on its machining remains limited. In this paper, single and …

Estimating the remaining useful tool life of worn tools under different cutting parameters: A survival life analysis during turning of titanium metal matrix composites (Ti …

M Aramesh, MH Attia, HA Kishawy… - CIRP Journal of …, 2016 - Elsevier
Utilizing the full tool life capacity of cutting tools has always been a concern, due to the
considerable costs associated with suboptimal replacement of tools. Reliable reuse of worn …

Evolving connectionist system and hidden semi-Markov model for learning-based tool wear monitoring and remaining useful life prediction

M Lin, S Wanqing, D Chen, E Zio - IEEE Access, 2022 - ieeexplore.ieee.org
Tool wear can cause dimensional accuracy and poor surface quality in milling process.
During the operation of tool wear, it can also cause breakage and damage of the …

Optimization of the cutting regime in the turning of the AISI 316L steel for biomedical purposes based on the initial progression of tool wear

R del Risco-Alfonso, R Pérez-Rodríguez… - Metals, 2021 - mdpi.com
The development of biomedical devices has improved the quality of life for millions of
people. The increase in life expectancy generates an increase in the demand for these …

Deep Reinforcement Learning for autonomous pre-failure tool life improvement

HA Taha, S Yacout, Y Shaban - The International Journal of Advanced …, 2022 - Springer
This paper develops an approach to improve a CNC machine's tool performance and slow
down its degradation rate automatically in the Pre-Failure stage. A Deep Reinforcement …