Systematic review on tool breakage monitoring techniques in machining operations

X Li, X Liu, C Yue, SY Liang, L Wang - International Journal of Machine …, 2022 - Elsevier
Tool condition monitoring (TCM) in machining operations is crucial to maximise the useful
tool life while reducing the risks associated with tool breakage. Unlike progressive tool wear …

Future research directions in the machining of Inconel 718

A De Bartolomeis, ST Newman, IS Jawahir… - Journal of Materials …, 2021 - Elsevier
Inconel 718 is the most popular nickel-based superalloy, extensively used in aerospace,
automotive and energy industries owing to its extraordinary thermomechanical properties. It …

Indirect monitoring of machining characteristics via advanced sensor systems: a critical review

ME Korkmaz, MK Gupta, Z Li, GM Krolczyk… - … International Journal of …, 2022 - Springer
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 …

Process monitoring of machining

R Teti, D Mourtzis, DM D'Addona, A Caggiano - CIRP Annals, 2022 - Elsevier
This keynote paper mainly focuses on advancements of machining technology and systems
for enhanced performance, increased system integration and augmented machine …

Cloud-based manufacturing process monitoring for smart diagnosis services

A Caggiano - International Journal of Computer Integrated …, 2018 - Taylor & Francis
ABSTRACT A cloud-based manufacturing process monitoring framework for online smart
diagnosis services has been developed with the aim of performing tool condition monitoring …

ANOVA and fuzzy rule based evaluation and estimation of flank wear, temperature and acoustic emission in turning

M Kuntoğlu, H Sağlam - CIRP Journal of Manufacturing Science and …, 2021 - Elsevier
Prediction of tool wear plays a key role in machining world due to its considerable impact on
total costs in terms of fabricated part quality and disposal of cutting insert before reaching the …

Tool wear prediction in Ti-6Al-4V machining through multiple sensor monitoring and PCA features pattern recognition

A Caggiano - Sensors, 2018 - mdpi.com
Machining of titanium alloys is characterised by extremely rapid tool wear due to the high
cutting temperature and the strong adhesion at the tool-chip and tool-workpiece interface …

[HTML][HTML] Spot-checking machine learning algorithms for tool wear monitoring in automatic drilling operations in CFRP/Ti6Al4V/Al stacks in the aircraft industry

C Domínguez-Monferrer, A Ramajo-Ballester… - Journal of Manufacturing …, 2024 - Elsevier
In aircraft manufacturing, where diverse materials, including Carbon Fiber-Reinforced
Plastics (CFRP), aluminum, and titanium alloys, are employed, the assembly process …

Cloud manufacturing framework for smart monitoring of machining

A Caggiano, T Segreto, R Teti - Procedia Cirp, 2016 - Elsevier
A cloud manufacturing framework is developed to realize on-line smart process monitoring
in the machining of difficult-to-machine materials. The computing and service resources in …

Cyber-physical system architecture for machining production line

J Herwan, S Kano, R Oleg, H Sawada… - 2018 IEEE Industrial …, 2018 - ieeexplore.ieee.org
Cyber-physical systems (CPS) are now applied in wide spans of areas such as
transportation, infrastructure, defense, manufacturing process, etc. In this paper, architecture …