Review of tool condition monitoring in machining and opportunities for deep learning
Tool condition monitoring and machine tool diagnostics are performed using advanced
sensors and computational intelligence to predict and avoid adverse conditions for cutting …
sensors and computational intelligence to predict and avoid adverse conditions for cutting …
Indirect monitoring of machining characteristics via advanced sensor systems: a critical review
On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …
A comparative study on machine learning algorithms for smart manufacturing: tool wear prediction using random forests
Manufacturers have faced an increasing need for the development of predictive models that
predict mechanical failures and the remaining useful life (RUL) of manufacturing systems or …
predict mechanical failures and the remaining useful life (RUL) of manufacturing systems or …
A hybrid information model based on long short-term memory network for tool condition monitoring
W Cai, W Zhang, X Hu, Y Liu - Journal of Intelligent Manufacturing, 2020 - Springer
Excessive tool wear leads to the damage and eventual breakage of the tool, workpiece, and
machining center. Therefore, it is crucial to monitor the condition of tools during processing …
machining center. Therefore, it is crucial to monitor the condition of tools during processing …
Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts
T Kıvak - Measurement, 2014 - Elsevier
In this paper, the Taguchi method and regression analysis have been applied to evaluate
the machinability of Hadfield steel with PVD TiAlN-and CVD TiCN/Al 2 O 3-coated carbide …
the machinability of Hadfield steel with PVD TiAlN-and CVD TiCN/Al 2 O 3-coated carbide …
Tool wear classification using time series imaging and deep learning
Tool condition monitoring (TCM) has become essential to achieve high-quality machining as
well as cost-effective production. Identification of the cutting tool state during machining …
well as cost-effective production. Identification of the cutting tool state during machining …
[HTML][HTML] Fine-tuned artificial intelligence model using pigeon optimizer for prediction of residual stresses during turning of Inconel 718
Inconel 718 is a hard-to-machine alloy with very poor machinability and low thermal
conductivity. Machining of such alloy is a critical manufacturing issue that should be carefully …
conductivity. Machining of such alloy is a critical manufacturing issue that should be carefully …
[HTML][HTML] Effect of machinability, microstructure and hardness of deep cryogenic treatment in hard turning of AISI D2 steel with ceramic cutting
This study examined the hard turning of AISI D2 cold work tool steel subjected to deep
cryogenic processing and tempering and investigated the effects on surface roughness and …
cryogenic processing and tempering and investigated the effects on surface roughness and …
Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method
Machine parts during their useful life are significantly influenced by surface roughness
quality. The machining process is more complex, and therefore, it is very hard to develop a …
quality. The machining process is more complex, and therefore, it is very hard to develop a …
Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel
DI Lalwani, NK Mehta, PK Jain - Journal of materials processing technology, 2008 - Elsevier
In the present study, an attempt has been made to investigate the effect of cutting
parameters (cutting speed, feed rate and depth of cut) on cutting forces (feed force, thrust …
parameters (cutting speed, feed rate and depth of cut) on cutting forces (feed force, thrust …