Analysis of the Machining Process of Inconel 718 Parts Manufactured by Laser Metal Deposition

Laser metal deposition (LMD) is an additive manufacturing process that allows the manufacturing of near-net-shape products. This could mean significant savings in terms of materials and costs in the manufacturing of high-performance components for the aeronautical industry. In this work, an analysis of how the LMD processing of alloy 718 affects the final machining has been carried out. For this purpose, a comparative study has been done by means of the monitoring of the end milling process of a part manufactured by LMD and a rough-milled part from forged material. Differences between process outputs such as chip morphology and cutting forces were studied. Material characteristics such as microstructure, hardness and mechanical properties were also analyzed.

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Optimization of Process Parameters for Cutting Force for Aluminium 7010 in CNC End Milling Process

International Journal of Vehicle Structures and Systems ◽

10.4273/ijvss.10.6.04 ◽

2018 ◽

Vol 10 (6) ◽

Author(s):

M. Kishanth ◽

P. Rajkamal ◽

D. Karthikeyan ◽

K. Anand

Keyword(s):

Surface Roughness ◽

Cutting Force ◽

Process Parameters ◽

End Milling ◽

Milling Process ◽

Machining Process ◽

Depth Of Cut ◽

Optimization Of Process Parameters ◽

Cnc End Milling ◽

End Milling Process

In this paper CNC end milling process have been optimized in cutting force and surface roughness based on the three process parameters (i.e.) speed, feed rate and depth of cut. Since the end milling process is used for abrading the wear caused is very high, in order to reduce the wear caused by high cutting force and to decrease the surface roughness, the optimization is much needed for this process. Especially for materials like aluminium 7010, this kind of study is important for further improvement in machining process and also it will improve the stability of the machine.

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Modeling & Analysis of End Milling Process Parameters Using Artificial Neural Networks

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.592-594.2733 ◽

2014 ◽

Vol 592-594 ◽

pp. 2733-2737 ◽

Cited By ~ 1

Author(s):

G. Harinath Gowd ◽

K. Divya Theja ◽

Peyyala Rayudu ◽

M. Venugopal Goud ◽

M .Subba Roa

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Process Parameters ◽

End Milling ◽

Milling Process ◽

Machining Process ◽

Depth Of Cut ◽

Machining Parameters ◽

Artificial Neural ◽

End Milling Process

For modeling and optimizing the process parameters of manufacturing problems in the present days, numerical and Artificial Neural Networks (ANN) methods are widely using. In manufacturing environments, main focus is given to the finding of Optimum machining parameters. Therefore the present research is aimed at finding the optimal process parameters for End milling process. The End milling process is a widely used machining process because it is used for the rough and finish machining of many features such as slots, pockets, peripheries and faces of components. The present work involves the estimation of optimal values of the process variables like, speed, feed and depth of cut, whereas the metal removal rate (MRR) and tool wear resistance were taken as the output .Experimental design is planned using DOE. Optimum machining parameters for End milling process were found out using ANN and compared to the experimental results. The obtained results provβed the ability of ANN method for End milling process modeling and optimization.

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Chip morphology in ball nose end milling process of nickel-based alloy material under MQL condition

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-019-03948-z ◽

2019 ◽

Vol 103 (9-12) ◽

pp. 4621-4625 ◽

Cited By ~ 1

Author(s):

M. S. Kasim ◽

M. S. A. Hafiz ◽

J. A. Ghani ◽

C. H. C. Haron ◽

R. Izamshah ◽

...

Keyword(s):

End Milling ◽

Chip Morphology ◽

Milling Process ◽

Alloy Material ◽

Nickel Based Alloy ◽

End Milling Process

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Simulation and Experimental Investigation for the End Milling Process of 7075-T7451 Aluminum Alloy

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.97-101.3014 ◽

2010 ◽

Vol 97-101 ◽

pp. 3014-3019 ◽

Cited By ~ 1

Author(s):

Cong Kang Wang ◽

Guo Hua Qin ◽

Dong Lu ◽

S.Q. Xin

Keyword(s):

End Milling ◽

Milling Process ◽

Machining Process ◽

Milling Force ◽

Milling Operation ◽

Al 7075 ◽

Milling Forces ◽

End Milling Process ◽

Good Agreement ◽

Main Factor

During the milling operation, milling forces are the main factor to cause the machining deformation of the workpiece. The flow stress of Al 7075-T7451 was first described as a function of strain, stain rate and temperature in order to obtain the true behavior in machining process. Second, a finite element method of milling process of Al 7075-T7451 was developed to obtain milling force simulations. Finally, simulated results are compared with experimental data and are shown to be in good agreement with each other.

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Surface Integrity of AISI H13 in End Milling and Electrical Discharge Machining Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.264-265.1044 ◽

2011 ◽

Vol 264-265 ◽

pp. 1044-1049 ◽

Cited By ~ 2

Author(s):

Jaharah A. Ghani ◽

Geok Yong Goh ◽

Che Hassan Che Haron

Keyword(s):

Surface Integrity ◽

End Milling ◽

Bulk Material ◽

Milling Process ◽

Machining Process ◽

Basic Material ◽

Machined Surface ◽

Aisi H13 ◽

Edm Process ◽

End Milling Process

Industries are forced to seriously evaluate their design and manufacturing of their products due to the competition in the marketplace. Product characteristics such as tolerance specification, appearance, and service life now become a major concern for machined components. One of the most important aspects in machined components is surface integrity. It involves mainly the surface roughness and micro hardness changes during machining operation, which should be controlled and monitored to fulfill the product functions and customer needs. This paper presents the comparison effect of the end milling and EDM parameters on the surface integrity of AISI H13 tool steel (HRC50 3). The parameters studied were the cutting speed (224 m/min – 280 m/min), feed rate (0.25 mm/tooth) and depth of cut (0.3 mm-0.8 mm for end milling process. Whereas for EDM, the parameters studied were the peak current (1 and 4 A), pulse ON-time (6 and 12 μs), and pulse OFF-time (2 μs). The electrodes used were graphite and copper. In this study, the workpiece surface and recast layer were examined using an optical microscope. The observation revealed that both processes of end milling and EDM had cause the formation of three layers structure, i.e. white, martensite quenched and bulk material layers. The subsurface alteration for EDM process is considered rigorous as compared with the end milling process. Damages beneath the machined surface such as micro cracks and void were observed for EDM process, and microscopic pitting and surface roughning for end milling process. The measurement of the microhardness beneath the machined surface of AISI H13 was carried out using Vickers microhardness tester to characterize its mechanical properties. It was found that the highest hardness of 1010 Hv was in the white layer, and hardness of martensite quench layer was 423 Hv, which was lower than the bulk material layer of 430 Hv in EDM process. Whereas, a maximum of 550 Hv was measured directly underneath the generated surface, i.e. 30% more as compared to the hardness of the basic material in the end milling process.

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