[HTML][HTML] Precise measurement of geometric and physical quantities in cutting tools inspection and condition monitoring: A review
W Wenqi, LIU Wei, Y Zhang, LIU Yang, P Zhang… - Chinese Journal of …, 2023 - Elsevier
As one of the most important terminals in machining, cutting tools have been widely used for
components manufacturing in aerospace and other industries. The quality of these …
components manufacturing in aerospace and other industries. The quality of these …
Multi-objective optimization using Taguchi based grey relational analysis in turning of Rock dust reinforced Aluminum MMC
The present work deals with the optimization of material and machining parameters for
surface finish and Material Removal Rate (MRR) enhancements while turning …
surface finish and Material Removal Rate (MRR) enhancements while turning …
Application of signal to noise ratio and grey relational analysis to minimize forces and vibrations during precise ball end milling
In this paper, a method for the minimization of cutting forces and vibrations during precise
ball end milling of hardened 55NiCrMoV6 steel is developed. The aim of this work …
ball end milling of hardened 55NiCrMoV6 steel is developed. The aim of this work …
Surface roughness prediction for the milling of Ti–6Al–4V ELI alloy with the use of statistical and soft computing techniques
NE Karkalos, NI Galanis, AP Markopoulos - Measurement, 2016 - Elsevier
This study focuses on Ti–6Al–4V ELI titanium alloy machining by means of plain peripheral
down milling process and subsequent modeling of this process, in order to predict surface …
down milling process and subsequent modeling of this process, in order to predict surface …
Measurement and analysis of cutting force and product surface quality during end-milling of thin-wall components
Improving product quality during machining of thin-wall components has always been a
challenging problem due to the low rigidity of work parts. Therefore careful selection of …
challenging problem due to the low rigidity of work parts. Therefore careful selection of …
Optimization of drilling parameters for drilling of TI-6Al-4V based on surface roughness, flank wear and drill vibration
Machining of titanium alloys is difficult due to their low elasticity, high formability and
tendency of breakage. In drilling of TI-6Al-4V alloy, drill bits are subjected to chatter vibration …
tendency of breakage. In drilling of TI-6Al-4V alloy, drill bits are subjected to chatter vibration …
Monitoring the tool wear, surface roughness and chip formation occurrences using multiple sensors in turning
Tool wear, chip formation and surface roughness of workpiece under different cutting
conditions have been investigated in machining using acoustic emission (AE) and vibration …
conditions have been investigated in machining using acoustic emission (AE) and vibration …
Optimisation of machining parameters during ball end milling of hardened steel with various surface inclinations
This paper proposes a method for the reduction of forces and the improvement of efficiency
during finish ball end milling of hardened 55NiCrMoV6 steel. The primary objective of this …
during finish ball end milling of hardened 55NiCrMoV6 steel. The primary objective of this …
Optimizing cutting parameters in inclined end milling for minimum surface residual stress–Taguchi approach
N Masmiati, AAD Sarhan - Measurement, 2015 - Elsevier
End milling is an important and common machining operation because of its versatility and
capability to produce various profiles and curved surfaces. Inclined end milling possesses …
capability to produce various profiles and curved surfaces. Inclined end milling possesses …
A new multitask learning method for tool wear condition and part surface quality prediction
Y Wang, B Qin, K Liu, M Shen, M Niu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Deep learning has been gradually used in the field of machining condition monitoring.
However, at present only single-task prediction can be performed, which results in increased …
However, at present only single-task prediction can be performed, which results in increased …