Comprehensive review of advanced methods for improving the parameters of machining steels

AR Machado, LRR da Silva, DY Pimenov… - Journal of Manufacturing …, 2024 - Elsevier
The extensive range of steel types and classifications results in a diverse set of properties
such as plasticity, heat resistance, strength, and corrosion resistance. This diversity enables …

Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives

BM Pereira Guimaraes, CM da Silva Fernandes… - … International Journal of …, 2022 - Springer
During machining processes, a large amount of heat is generated due to plastic
deformation, in a very small area of the cutting tool. This high temperature strongly …

Augmentation of decision tree model through hyper-parameters tuning for monitoring of cutting tool faults based on vibration signatures

AD Patange, SS Pardeshi, R Jegadeeshwaran… - Journal of Vibration …, 2023 - Springer
Purpose The behavior of machine tool components is observed to be dynamic, complex and
many times confusing. In such cases, due to adverse data domains, fault diagnosis through …

AI for tribology: Present and future

N Yin, P Yang, S Liu, S Pan, Z Zhang - Friction, 2024 - Springer
With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …

Cross-domain adaptation network based on attention mechanism for tool wear prediction

J He, Y Sun, C Yin, Y He, Y Wang - Journal of Intelligent Manufacturing, 2023 - Springer
On-machine monitoring of tool wear is of great significance in machining processes to
enhance machining efficiencies and reduce cost. For the data-driven tool wear prediction …

Theoretical roughness modeling of hard turned surfaces considering tool wear

C Felho, G Varga - Machines, 2022 - mdpi.com
Surface roughness is an important factor in metal cutting, and usually different surface
roughness characteristics are used to control the quality of the machined surfaces. However …

Tool wear monitoring with artificial intelligence methods: a review

R Munaro, A Attanasio, A Del Prete - Journal of Manufacturing and …, 2023 - mdpi.com
Tool wear is one of the main issues encountered in the manufacturing industry during
machining operations. In traditional machining for chip removal, it is necessary to know the …

The wear detection of mill-grinding tool based on acoustic emission sensor

W Huang, Y Li, X Wu, J Shen - The International Journal of Advanced …, 2023 - Springer
The monitoring of tool wear plays an important role in improving the processing efficiency
and reducing the production cost of enterprises. This paper is focused on the detection of …

Deep learning-based CNC milling tool wear stage estimation with multi-signal analysis

Y KARABACAK - EKSPLOATACJA I NIEZAWODNOSC …, 2023 - avesis.ktu.edu.tr
CNC milling machines are frequently used in the manufacturing of mechanical parts in the
industry. One of the most important components of milling machines is the cutting tool …

Vastness of Tribology Research Fields and Their Contribution to Sustainable Development

E Ciulli - Lubricants, 2024 - mdpi.com
Tribology is related to all studies on friction, wear, and lubrication. One of the main aims of
these studies is a reduction in friction and wear. Tribology is extremely vast, being also …