Investigation of machining performance in high pressure jet assisted turning of Inconel 718: A numerical model

2011 ◽  
Vol 211 (11) ◽  
pp. 1834-1851 ◽  
Author(s):  
C. Courbon ◽  
V. Sajn ◽  
D. Kramar ◽  
J. Rech ◽  
F. Kosel ◽  
...  
2018 ◽  
Vol 2 (3) ◽  
pp. 50 ◽  
Author(s):  
Hussien Hegab ◽  
Hossam Kishawy

Difficult-to-cut materials have been widely employed in many engineering applications, including automotive and aeronautical designs because of their effective properties. However, other characteristics; for example, high hardness and low thermal conductivity has negatively affected the induced surface quality and tool life, and consequently the overall machinability of such materials. Inconel 718, is widely used in many industries including aerospace; however, the high temperature generated during machining is negatively affecting its machinability. Flood cooling is a commonly used remedy to improve machinability problems; however, government regulation has called for further alternatives to reduce the environmental and health impacts of flood cooling. This work aimed to investigate the influence of dispersed multi-wall carbon nanotubes (MWCNTs) and aluminum oxide (Al2O3) gamma nanoparticles, on enhancing the minimum quantity lubrication (MQL) technique cooling and lubrication capabilities during turning of Inconel 718. Machining tests were conducted, the generated surfaces were examined, and the energy consumption data were recorded. The study was conducted under different design variables including cutting speed, percentage of added nano-additives (wt.%), and feed velocity. The study revealed that the nano-fluids usage, generally improved the machining performance when cutting Inconel 718. In addition, it was shown that the nanotubes additives provided better improvements than Al2O3 nanoparticles.


Author(s):  
Iñigo Hernando ◽  
Jon Iñaki Arrizubieta ◽  
Aitzol Lamikiz ◽  
Eneko Ukar

A numerical model was developed for predicting the bead geometry and microstructure in Laser Beam Welding of 2 mm thickness Inconel 718 sheets. The experiments were carried out with a 1 kW maximum power fiber laser coupled with a galvanometric scanner. Wobble strategy was employed for sweeping 1 mm wide circular areas for creating the weld seams and a specific tooling was manufactured for supplying protective Argon gas during the welding process. The numerical model takes into account both the laser beam absorption and the melt-pool fluid movement along the bead section, resulting in a weld geometry that depends on the process input parameters, such as feed rate and laser power. The microstructure of the beads was also estimated based on the cooling rate of the material. Features as bead upper and bottom final shapes, weld penetration and dendritic arm spacing were numerically and experimentally analyzed and discussed. The results given by the numerical analysis agree with the tests, making the model a robust predictive tool.


2018 ◽  
Vol 49 (5) ◽  
pp. 1830-1840 ◽  
Author(s):  
Yoichi Takizawa ◽  
Kosei Sumikawa ◽  
Kyohei Watanabe ◽  
Takahiro Masuda ◽  
Manabu Yumoto ◽  
...  

Author(s):  
Giovani Conrado Carlini ◽  
Cristiano da Silva ◽  
Ricardo Diego Torres ◽  
Paulo Soares ◽  
Walter Lindolfo Weingaertner ◽  
...  

Materials ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 408 ◽  
Author(s):  
Doriana D'Addona ◽  
Sunil Raykar

This paper presents a finite-element modeling (FEM) of tool temperature distribution during high pressure coolant assisted turning of Inconel 718, which belongs to the heat resistance superalloys of the Nickel-Chromium family. Machining trials were conducted under four machining conditions: dry, conventional wet machining, high pressure coolant at 50 bar, and high pressure coolant at 80 bar. Temperature during machining plays a very important role in the overall performance of machining processes. Since in the current investigation a high pressure coolant jet was supplied in the cutting zone between tool and work material, it was a very difficult task to measure the tool temperature correctly. Thus, FEM was used as a modeling tool to predict tool temperature. The results of the modeling showed that the temperature was considerably influenced by coolant pressure: the high pressure jet was able to penetrate into the interface between tool and work material, thus providing both an efficient cooling and effective lubricating action.


Procedia CIRP ◽  
2014 ◽  
Vol 13 ◽  
pp. 333-338 ◽  
Author(s):  
Lokman Yünlü ◽  
Oğuz Çolak ◽  
Cahit Kurbanoğlu

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