A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models

NS Ross, PT Sheeba, CS Shibi, MK Gupta… - Journal of Intelligent …, 2024 - Springer
Cutting tool condition is crucial in metal cutting. In-process tool failures significantly
influences the surface roughness, power consumption, and process endurance. Industries …

Machinability behavior of aluminium alloys: A brief study

TR Soren, R Kumar, I Panigrahi, AK Sahoo… - Materials Today …, 2019 - Elsevier
Aluminium alloys are the most promising material which provides highest mechanical
strength in the field of hard machined material. Owing to its higher strength to weight ratio, it …

Machine learning in production–potentials, challenges and exemplary applications

A Mayr, D Kißkalt, M Meiners, B Lutz, F Schäfer… - Procedia CIRP, 2019 - Elsevier
Recent trends like autonomous driving, natural language processing, service robotics or
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …

Identification of abnormal tribological regimes using a microphone and semi-supervised machine-learning algorithm

V Pandiyan, J Prost, G Vorlaufer, M Varga, K Wasmer - Friction, 2022 - Springer
Functional surfaces in relative contact and motion are prone to wear and tear, resulting in
loss of efficiency and performance of the workpieces/machines. Wear occurs in the form of …

Progress on Bionic Textured Cutting Tools: A Review and Prospects

H Wei, G Chen, Z Chen, Z Yu, J Huang - Journal of Bionic Engineering, 2024 - Springer
Cutting tools are known as the “productivity” of the manufacturing industry, which affects the
production efficiency and quality of the workpiece, and has become the focus of research …

Robust tool wear monitoring system development by sensors and feature fusion

YR Lin, CH Lee, MC Lu - Asian Journal of Control, 2022 - Wiley Online Library
This study introduces a tool wear monitoring system that uses multiple sensors and a feature
fusion technique. To improve the robustness of the system, different tightening torque and …

A genetic-algorithm-based approach for optimizing tool utilization and makespan in FMS scheduling

A Grassi, G Guizzi, V Popolo, S Vespoli - Journal of Manufacturing and …, 2023 - mdpi.com
This paper proposes a genetic algorithm approach to solve the identical parallel machines
problem with tooling constraints in job shop flexible manufacturing systems (JS-FMSs) with …

Effect of graphene addition in cutting fluids applied by Mql in end milling of Aisi 1045 steel

V Baldin, L Rosa Ribeiro da Silva, CF Houck… - Lubricants, 2021 - mdpi.com
The cutting fluids applied to the machining processes by the MQL process aim to reduce the
machining temperatures and tool wear as well as improve the surface and dimensional …

Knife-edge interferometry for cutting tool wear monitoring

S Jeon, CK Stepanick, AA Zolfaghari, CB Lee - Precision Engineering, 2017 - Elsevier
This paper presents a novel technique for more easily measuring cutting tool wear using
knife-edge interferometry (KEI). Unlike an amplitude splitting interferometry, such as …

Evaluating the use of a new type of impact damper for internal turning tool bar in deep holes

AE Diniz, WTA da Silva, DI Suyama, R Pederiva… - … International Journal of …, 2019 - Springer
In internal turning operation of long holes, the tool is not rigid, since it must be out from the
lathe turret in a length longer than the machined hole length. This problem is even more …