[HTML][HTML] Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends

R Binali, M Kuntoğlu, DY Pimenov, ÜA Usca, MK Gupta… - Measurement, 2022 - Elsevier
This review paper summarizes the application of smart manufacturing systems utilized in
drilling and hole machining processes. In this perspective, prominent sensors such as …

Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models

M Shah, V Vakharia, R Chaudhari, J Vora… - … International Journal of …, 2022 - Springer
During milling operations, wear of cutting tool is inevitable; therefore, tool condition
monitoring is essential. One of the difficulties in detecting the state of milling tools is that they …

Tool condition monitoring in CNC end milling using wavelet neural network based on machine vision

P Ong, WK Lee, RJH Lau - The International Journal of Advanced …, 2019 - Springer
The monitoring of tool condition in machining processes has significant importance to
control the quality of machined parts and to reduce equipment downtime. This study …

Leveraging Artificial Intelligence for Real-time Indirect Tool Condition Monitoring: from Theoretical and Technological Progress to Industrial Applications

D Liu, Z Liu, B Wang, Q Song, H Wang… - International Journal of …, 2024 - Elsevier
Tool condition monitoring (TCM) during mechanical cutting is critical for maximising the
utilisation of cutting tools and minimising the risk of equipment damage and personnel …

Measurement of performance and emission distinctiveness of Aegle marmelos seed cake pyrolysis oil/diesel/TBHQ opus powered in a DI diesel engine using ANN …

P Baranitharan, K Ramesh, R Sakthivel - Measurement, 2019 - Elsevier
The present investigation focuses on Artificial neural network (ANN) and Response surface
methodology (RSM) modelling of a CI (Compression ignition) engine powered by Aegle …

In-situ tool wear area evaluation in micro milling with considering the influence of cutting force

S Li, K Zhu - Mechanical Systems and Signal Processing, 2021 - Elsevier
In order to realize the tool wear in-situ monitoring in micro milling, a novel two-dimensional
tool wear estimation approach is developed in this work. The novelty and strong point of the …

Multi-attribute decision-making approach for Aegle marmelos pyrolysis process using TOPSIS and Grey Relational Analysis: Assessment of engine emissions through …

P Baranitharan, K Ramesh, R Sakthivel - Journal of Cleaner Production, 2019 - Elsevier
This research focuses on the selection of the optimum process parameters for Aegel
marmelos (AM) pyrolysis experiment based on multi-objective decision-making techniques …

Efficiency analysis of shot peening parameters on variations of hardness, grain size and residual stress via Taguchi approach

E Maleki, O Unal, K Reza Kashyzadeh - Metals and Materials International, 2019 - Springer
In the present study, the main purpose is to detect the most key factors of shot peening (SP)
process on the microhardness, grain size, and residual stress of AISI 1060 high carbon …

Analysis of grey relational method of the effects on machinability performance on austempered vermicular graphite cast irons

G Uzun - Measurement, 2019 - Elsevier
In this study, vermicular graphite cast iron samples were operationalized to Austempering
process in two different temperatures (315 and 375° C) and three different waiting periods …

Parametric optimization of microhardness of electroless Ni-Zn-Cu-P coating using Taguchi design and artificial neural network

CS Rauta, G Majumdar, S Sarkar - Jom, 2022 - Springer
In this investigation, the AZ31 magnesium alloy was coated with a quaternary electroless Ni-
Zn-Cu-P coating for less than 600 s, resulting in a coating thickness of 5 µ m. To optimize the …