[HTML][HTML] Tool condition monitoring methods applicable in the metalworking process

MA Lara de Leon, J Kolarik, R Byrtus… - … methods in engineering, 2024 - Springer
This article reviews and analyzes the approaches utilized for monitoring cutting tool
conditions. The Research focuses on publications from 2012 to 2022 (10 years), in which …

Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system

J Wu, Y Su, Y Cheng, X Shao, C Deng, C Liu - Applied Soft Computing, 2018 - Elsevier
Remaining useful life (RUL) prediction of machining tools is a typical multi-sensor
information fusion problem. It involves the use of the monitoring information acquired from …

Cutting tool prognostics enabled by hybrid CNN-LSTM with transfer learning

M Marei, W Li - The International Journal of Advanced Manufacturing …, 2022 - Springer
An effective strategy to predict the remaining useful life (RUL) of a cutting tool could
maximise tool utilisation, optimise machining cost, and improve machining quality. In this …

Review of machining metal matrix composites

CJ Nicholls, B Boswell, IJ Davies, MN Islam - The International Journal of …, 2017 - Springer
A bstract Metal matrix composites (MMCs) are materials which have been widely used in the
aerospace and automobile industries since the 1980s and have been classified as hard-to …

[HTML][HTML] Predictive maintenance on the machining process and machine tool

A Jimenez-Cortadi, I Irigoien, F Boto, B Sierra… - Applied Sciences, 2019 - mdpi.com
This paper presents the process required to implement a data driven Predictive
Maintenance (PdM) not only in the machine decision making, but also in data acquisition …

Tool Wear and Remaining Useful Life Estimation of Difficult-to-machine Aerospace Alloys: a Review.

LUO Huan, Z Dinghua… - China Mechanical …, 2021 - search.ebscohost.com
Due to the special application requirements, such as light weight designs, strength, in
aeronautical manufacturing field, a large number of difficult-to-machine materials such as …

Investigations on tool wear, surface roughness, cutting temperature, and chip formation in machining of Cu-B-CrC composites

ÜA Usca, M Uzun, M Kuntoğlu, E Sap… - The International Journal …, 2021 - Springer
Composites have excellent material properties such as lightness, rigidity, and strength with
reinforcement of specialized materials to serve an extended field in engineering. Meanwhile …

Investigation on universal tool wear measurement technique using image-based cross-correlation analysis

KM Fong, X Wang, S Kamaruddin, MZ Ismadi - Measurement, 2021 - Elsevier
Early detection of tool defects enables proactive prevention of disruption, thus increasing
productivity, maintaining quality and agility that brings significant competitive value to the …

Development of a cyber physical production system framework for smart tool health management

R Kumar, KS Sangwan, C Herrmann… - Journal of Intelligent …, 2024 - Springer
More and more organisations are trying to install tool health analytics dashboards for CNC
machines to avoid unexpected failures, maintain machining accuracy, and optimise tool …

Applied machine tool data condition to predictive smart maintenance by using artificial intelligence

C Singh, MSS Rao, YM Mahaboobjohn… - International Conference …, 2022 - Springer
We describe how to integrate data-driven predictive maintenance (PdM) in machine
decision-making and data collection and processing. A brief overview of maintenance …