[HTML][HTML] Infrastructure monitoring and quality diagnosis in CNC machining: A review

M Ntemi, S Paraschos, A Karakostas… - CIRP Journal of …, 2022 - Elsevier
Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning

M Kuntoğlu, H Sağlam - Measurement, 2021 - Elsevier
Monitoring of the cutting area with different type of sensors requires confirmation for
composing sensor fusion to obtain longer tool life and high-quality product. The complex …

[HTML][HTML] A two-step machine learning approach for dynamic model selection: a case study on a micro milling process

YJ Cruz, M Rivas, R Quiza, RE Haber, F Castaño… - Computers in …, 2022 - Elsevier
Generally, dynamic model selection is implemented using algorithms that need a feedback
from the system's output; but, in many real-world applications this feedback is not available …

ANOVA and fuzzy rule based evaluation and estimation of flank wear, temperature and acoustic emission in turning

M Kuntoğlu, H Sağlam - CIRP Journal of Manufacturing Science and …, 2021 - Elsevier
Prediction of tool wear plays a key role in machining world due to its considerable impact on
total costs in terms of fabricated part quality and disposal of cutting insert before reaching the …

[HTML][HTML] Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach

S Dewangan, S Gangopadhyay, CK Biswas - Engineering Science and …, 2015 - Elsevier
Surface integrity remains one of the major areas of concern in electric discharge machining
(EDM). During the current study, grey-fuzzy logic-based hybrid optimization technique is …

Accurate estimation of tool wear levels during milling, drilling and turning operations by designing novel hyperparameter tuned models based on LightGBM and …

J Mahmood, G Mustafa, M Ali - Measurement, 2022 - Elsevier
The study is focused on executing machining operations by using 18 tools of milling, drilling,
and turning thus 6 tools were used for each machining process. The VB of tool was …

Prediction of cutting tool wear during a turning process using artificial intelligence techniques

M Marani, M Zeinali, J Kouam, V Songmene… - … International Journal of …, 2020 - Springer
In the manufacturing industry, cutting tool failure is a serious event which causes damage to
the cutting tool and reduces the quality of the product, which increases the cost of …

A combination of computational fluid dynamics (CFD) and adaptive neuro-fuzzy system (ANFIS) for prediction of the bubble column hydrodynamics

M Pourtousi, JN Sahu, P Ganesan, S Shamshirband… - Powder Technology, 2015 - Elsevier
This paper shows a combination of computational fluid dynamics (CFD) and adaptive neuro-
fuzzy inference system (ANFIS) to propose a new viewpoint for multiphase flow modeling …

Investigation on the effect of cutting fluid pressure on surface quality measurement in high speed thread milling of brass alloy (C3600) and aluminium alloy (5083)

AM Khorasani, I Gibson, M Goldberg, EH Doeven… - Measurement, 2016 - Elsevier
The quality of a machined finish plays a major role in the performance of milling operations,
good surface quality can significantly improve fatigue strength, corrosion resistance, or …

Investigating the Machinability of Al–Si–Cu cast alloy containing bismuth and antimony using coated carbide insert

MM Barzani, AAD Sarhan, S Farahany, S Ramesh… - Measurement, 2015 - Elsevier
Surface roughness and cutting force are two key measures that describe machined surface
integrity and power requirement evaluation, respectively. This investigation presents the …