Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review

V Pandiyan, S Shevchik, K Wasmer, S Castagne… - Journal of Manufacturing …, 2020 - Elsevier
Abrasive finishing processes such as grinding, lapping or disc polishing are one of the most
practical means for processing materials to manufacture products with fine surface finish …

Investigations on the effects of tool wear on chip formation mechanism and chip morphology using acoustic emission signal in the microendmilling of aluminum alloy

M Prakash, M Kanthababu, KP Rajurkar - The International Journal of …, 2015 - Springer
This work investigates the effects of tool wear on surface roughness (R a), chip formation
mechanisms and chip morphology in the microendmilling of aluminum alloy (AA 1100) using …

A rough set-based effective state identification method of multisensor tool condition monitoring system

N Xie, L Chen, B Zheng, X Liu - Advances in Mechanical …, 2014 - journals.sagepub.com
Multisensor improves the accuracy of machine tool condition monitoring system, which
provides the critical feedback information to the manufacture process controller. Multisensor …

Analysis of real-time vibration assisted tool condition monitoring in drilling

BS Prasad, YR Reddy - International Journal of …, 2019 - inderscienceonline.com
The present work primarily focuses on identifying the presence of drilling tool vibrations
during the drilling process. A non-contact vibration transducer laser Doppler vibrometer …

Acoustic emission signal analysis for tool condition monitoring in microendmilling of aluminium alloy

M Prakash, P Ravisankar… - Advanced Materials …, 2014 - Trans Tech Publ
In this study, the effect of tool wear is correlated with acoustic emission (AE) signal during
microendmilling of aluminium alloy (AA 1100). The AE signals were acquired using Kistler …

Tool condition monitoring in microturning of aluminium alloy using multiple sensors

A Gopikrishnan, M Kanthababu… - Applied Mechanics …, 2014 - Trans Tech Publ
In the present work, an attempt has been made to monitor the tool condition status during
microturning of aluminium alloy (AA 6061) using multiple sensors such as cutting force …

State space model for online monitoring selective laser melting process using data mining techniques

Z Chen, X Zhang, K He - International Journal of …, 2018 - inderscienceonline.com
Selective laser melting (SLM) is one the most popular additive manufacturing technologies
due to its ability to produce the complex parts. Online monitoring of the SLM process has …

Research on the multi-sensor fusion-based tool condition recognition system

N Xie, B Zheng, X Xie, X Liu - … of the 11th World Congress on …, 2014 - ieeexplore.ieee.org
Multi-sensor fusion improves the accuracy of machine tool condition monitoring system,
which is the critical feedback information to the manufacture process controller. An abundant …

[PDF][PDF] Rough Diamond Machining Process Based on Neural Network

K Xu - Academic Journal of Architecture and Geotechnical …, 2022 - francis-press.com
In recent years, mechanical engineers have improved the machining accuracy and
machining efficiency by different techniques. This paper studied the rough diamond …

Acoustic Emission Signal Analysis for Tool Condition Monitoring in Microturning of Titanium Alloy

A Gopikrishnan, AK Nizamudheen… - Advanced Materials …, 2014 - Trans Tech Publ
In this work, an online acoustic emission (AE) monitoring system is developed, to investigate
the effect of tool wear during the microturning of titanium alloy with a tungsten carbide insert …