Study the parametric effect of abrasive water jet machining on surface roughness of Inconel 718 using RSM-BBD techniques

Kumar, Arvind; Singh, Hari; Kumar, Vinod

doi:10.1080/10426914.2017.1401727

Cited by 56 publications

(13 citation statements)

References 24 publications

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“…Arvind Kumar et al, [3] investigation demonstrates the constant impact in CWJD of Inconel 718 material. A joined RSM-BBD approach to improve the nature of the surface.…”

Section: Literature Reviewmentioning

confidence: 96%

The Machinability of Steels by Abrasive Water Jet

2019

IJITEE

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Abrasive Water jet machining (AWJM) is a Non-Traditional manufacturing process, were the material is expelled from the workpiece by effect erosion of pressurized high-speed water stream mixed with high-speed abrasives. There are such a significant number of procedure parameters influence with nature of the machined surface can be done by AWJM. The process variables are, the cross speed, water driven weight, remain off separation, rough stream rate and kind of grating are significant. This measures in AWJM are Surface Roughness (SR, Rate of Material Removal (RMR), Kerf angle, cutting depth. At the past, the survive completed from different kinds of steel was inproved and investigated on AWJM research by identifying with execution estimates checking and procedure control and process factor advancement. In this paper, a study undergoes on AWJM about feature pattern regarding various types of steels.

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“…Arvind Kumar et al, [3] investigation demonstrates the constant impact in CWJD of Inconel 718 material. A joined RSM-BBD approach to improve the nature of the surface.…”

Section: Literature Reviewmentioning

confidence: 96%

The Machinability of Steels by Abrasive Water Jet

2019

IJITEE

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“…The haveDiscussed with GRA for process optimization. Finally they have concluded with the paper 3 This work discussed with the abrasive water jet machining taken as a three parameters. The experimental done by Abrasive water jet Machining process finally they have concluded by GA Algorithm Process 4 in this process discussed with the Abrasive Water jet Machining for Glass fiber Reinforcement material.…”

Section: Introductionmentioning

confidence: 97%

Machining Process Parameters on Green Composite Material

Raj.V,

Ramnath.B,

et al. 2019

IJITEE

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In this work, the Abrasive water jet machining process on a natural fiber composite material has been discussed . the material as in nature fibere material. The natural fiber material has in a low weight material. In the material used in a light weight application. In the material mostly used in a automobile structural application. In the material not used in load condition application. In the material used in a unload condition material. The material was prepared by hand layup technique. The material was discussed about the machining character station of the process. For this process, the following parametersstandoff distance, abrasive flow rate, water pressure were determined. The output parameters considered are Material Remove rate and Surface roughness. in this condition the material removal rate will be increased and the surface roughness also increased. In the above condition was been solve the problem. The DOE was done by Mine tab software. Finally, the optimization result of the process has been conculded.

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“…He studied the effect of process parameters over the quality of drilled holes. Kumar et al [ 25 ] investigated parametric effects of water jet cutting on Inconel 718 to understand the machining behavior.…”

Section: Introductionmentioning

confidence: 99%

Achieving the Minimum Roughness of Laser Milled Micro-Impressions on Ti 6Al 4V, Inconel 718, and Duralumin

et al. 2020

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Titanium-aluminium-vanadium (Ti 6Al 4V) alloys, nickel alloys (Inconel 718), and duraluminum alloys (AA 2000 series) are widely used materials in numerous engineering applications wherein machined features are required to having good surface finish. In this research, micro-impressions of 12 µm depth are milled on these materials though laser milling. Response surface methodology based design of experiment is followed resulting in 54 experiments per work material. Five laser parameters are considered naming lamp current intensity (I), pulse frequency (f), scanning speed (V), layer thickness (LT), and track displacement (TD). Process performance is evaluated and compared in terms of surface roughness through several statistical and microscopic analysis. The significance, strength, and direction of each of the five laser parametric effects are deeply investigated for the said alloys. Optimized laser parameters are proposed to achieve minimum surface roughness. For the optimized combination of laser parameters to achieve minimum surface roughness (Ra) in the titanium alloy, the said alloy consists of I = 85%, f = 20 kHz, V = 250 mm/s, TD = 11 µm, and LT = 3 µm. Similarly, optimized parameters for nickel alloy are as follows: I = 85%, f = 20 kHz, V = 256 mm/s, TD = 8 µm, and LT = 1 µm. Minimum roughness (Ra) on the surface of aluminum alloys can be achieved under the following optimized parameters: I = 75%, f = 20 kHz, V = 200 mm/s, TD = 12 µm, and LT = 3 µm. Micro-impressions produced under optimized parameters have surface roughness of 0.56 µm, 2.46 µm, and 0.54 µm on titanium alloy, nickel alloy, and duralumin, respectively. Some engineering applications need to have high surface roughness (e.g., in case of biomedical implants) or some desired level of roughness. Therefore, validated statistical models are presented to estimate the desired level of roughness against any laser parametric settings.

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Study the parametric effect of abrasive water jet machining on surface roughness of Inconel 718 using RSM-BBD techniques

Cited by 56 publications

References 24 publications

The Machinability of Steels by Abrasive Water Jet

The Machinability of Steels by Abrasive Water Jet

Machining Process Parameters on Green Composite Material

Achieving the Minimum Roughness of Laser Milled Micro-Impressions on Ti 6Al 4V, Inconel 718, and Duralumin

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