Extraction of tool wear indicators in peck-drilling of Inconel 718

Author(s):  
Amaia Jiménez ◽  
Miguel Arizmendi ◽  
José Manuel Sánchez
Keyword(s):  
CIRP Annals ◽  
2021 ◽  
Author(s):  
Volodymyr Bushlya ◽  
Filip Lenrick ◽  
Axel Bjerke ◽  
Hisham Aboulfadl ◽  
Mattias Thuvander ◽  
...  

Wear ◽  
2021 ◽  
pp. 203752
Author(s):  
A.R.F. Oliveira ◽  
L.R.R. da Silva ◽  
V. Baldin ◽  
M.P.C. Fonseca ◽  
R.B. Silva ◽  
...  

2020 ◽  
Author(s):  
Ivan Sunit Rout ◽  
P. Pal Pandian ◽  
Manish Mathew ◽  
Kevin Lobo Ivan ◽  
Shomyajit Misra

2018 ◽  
Vol 60 (8) ◽  
pp. 443-450 ◽  
Author(s):  
M Murua ◽  
A Suárez ◽  
L N López de Lacalle ◽  
R Santana ◽  
A Wretland

2021 ◽  
Author(s):  
Hüseyin Gürbüz ◽  
Şehmus Baday

Abstract Although Inconel 718 is an important material for modern aircraft and aerospace, it is a kind material, which is known to have low machinability. Especially, while these types of materials are machined, high cutting temperatures, BUE on cutting tool, high cutting forces and work hardening occur. Therefore, in recent years, instead of producing new cutting tools that can withstand these difficult conditions, cryogenic process, which is a heat treatment method to increase the wear resistance and hardness of the cutting tool, has been applied. In this experimental study, feed force, surface roughness, vibration, cutting tool wear, hardness and abrasive wear values that occurred as a result of milling of Inconel 718 material by means of cryogenically treated and untreated cutting tools were investigated. Three different cutting speeds (35-45-55 m/min) and three different feed rates (0.02-0.03-0.04 mm/tooth) at constant depth of cut (0.2 mm) were used as cutting parameters in the experiments. As a result of the experiments, lower feed forces, surface roughness, vibration and cutting tool wear were obtained with cryogenically treated cutting tools. As the feed rate and cutting speed were increased, it was seen that surface roughness, vibration and feed force values increased. At the end of the experiments, it was established that there was a significant relation between vibration and surface roughness. However, there appeared an inverse proportion between abrasive wear and hardness values. While BUE did not occur during cryogenically treated cutting tools, it was observed that BUE occurred in cutting tools which were not cryogenically treated.


Author(s):  
Santosh Kumar Sahu ◽  
Saurav Datta

Inconel 718 is a nickel-based super alloy widely applied in aerospace, automotive, and defense industries. Low thermal conductivity, extreme high temperature strength, strong work-hardening tendency make the alloy difficult-to-cut. In contrast to traditional machining, nonconventional route like electro-discharge machining is relatively more advantageous to machine this alloy. However, low thermal conductivity of Inconel 718 restricts electro-discharge machining from performing well. In order to improve the electro-discharge machining performance of Inconel 718, powder-mixed electro-discharge machining was reported in this paper. It was carried out by adding graphite powder to the dielectric media in consideration with varied peak discharge current. The morphology and topographical features of the machined surface including surface roughness, crack density, white layer thickness, metallurgical aspects (phase transformation, crystallite size, microstrain, and dislocation density), material migration, residual stress, microindentation hardness, etc. were studied and compared with that of the conventional electro-discharge machining. Additionally, effects of peak discharge current were discussed on influencing different performance measures of powder-mixed electro-discharge machining. Material removal efficiency and tool wear rate were also examined. Use of graphite powder-mixed electro-discharge machining was found to be better in performance for improved material removal rate, superior surface finish, reduced tool wear rate, and reduced intensity as well as severity of surface cracking. Lesser extent of carbon migration onto the machined surface as observed in powder-mixed electro-discharge machining in turn reduced the formation of hard carbide layers. As compared to the conventional electro-discharge machining, graphite powder-mixed electro-discharge machining exhibited relatively less microhardness and residual stress at the machined surface.


2020 ◽  
Vol 285 ◽  
pp. 116780
Author(s):  
S. Chaabani ◽  
P.J. Arrazola ◽  
Y. Ayed ◽  
A. Madariaga ◽  
A. Tidu ◽  
...  

Author(s):  
Mohd Asyraf Mahboob Ali ◽  
Azwan Iskandar Azmi ◽  
Mohd Zahiruddin Mohd Zain ◽  
Muhamad Nasir Murad ◽  
Ahmad Nabil Mohd Khalil ◽  
...  

2020 ◽  
Vol 14 (5-6) ◽  
pp. 693-705
Author(s):  
Tiziana Segreto ◽  
Doriana D’Addona ◽  
Roberto Teti

AbstractIn the last years, hard-to-machine nickel-based alloys have been widely employed in the aerospace industry for their properties of high strength, excellent resistance to corrosion and oxidation, and long creep life at elevated temperatures. As the machinability of these materials is quite low due to high cutting forces, high temperature development and strong work hardening, during machining the cutting tool conditions tend to rapidly deteriorate. Thus, tool health monitoring systems are highly desired to improve tool life and increase productivity. This research work focuses on tool wear estimation during turning of Inconel 718 using wavelet packet transform (WPT) signal analysis and machine learning paradigms. A multiple sensor monitoring system, based on the detection of cutting force, acoustic emission and vibration acceleration signals, was employed during experimental turning trials. The detected sensor signals were subjected to WPT decomposition to extract diverse signal features. The most relevant features were then selected, using correlation measurements, in order to be utilized in artificial neural network based machine learning paradigms for tool wear estimation.


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