A STUDY ON ABRASIVE WATER JET MACHINING USING ANOVA ON D3 TOOL STEEL

Authors:

P.Sneha,A.Chinnamahammad Bhasha, Deepthi.T ,ArunKarthikeyan,

DOI NO:

https://doi.org/10.26782/jmcms.2020.07.00040

Keywords:

AWJM, D3 Tool Steel, ANOVA, cutting speed ,standoff distance,Traverse speed,

Abstract

The pressurized high-speed water flows together with the Al2O3 particles forms slurry used in abrasive water jet machining (AWJM) to slice specimens. This approach is particularly appropriate for fragile, soft and strident materials. D3 tool steel used as a sample size of 200 x 200 x 23 mm has excellent strength and is also suitable for high-temperature machining operations. In the present work, the 8 mm diameter hole was created using AWJM. The L27 orthogonal array experiments were conducted with crossover speeds (Ts) 80, 100 and 120 mm / min, abrasive mass flow rate (Af) 250, 325 and 400 (g / min) and a standoff distance (Sod) of 1,1.5 and 2 mm as processing parameters. Optimum parameters have been set from ANOVA to achieve high metal extraction. Optimum Sod, Ts, and Af are 400 g / min, 1.5 mm and 120 mm / min. Experiment number 26 and the 27 processing parameters are the best for the D3 tool steel unit to achieve higher metal extraction.

Refference:

I Geethapriyan T., Manoj Samson R., Arun Raj A.C., Senkathi S., Gunasekar C. (2019) Parametric Optimization of Abrasive Water jet Machining Process on Inconel 600 Using Two Different Abrasive Grain Sizes. In: Vijay Sekar K., Gupta M., Arockiarajan A. (eds) Advances in Manufacturing Processes. Lecture Notes in Mechanical Engineering. Springer, Singapore.
II K.Balamurugan, M.Uthayakumar, S.Gowthamam, R.Pandurangan, “A study on the compressive residual stress due to water jet cavitation peening”, Engineering Failure Analysis, (2018).
III Rishi Pahuja, M. Ramulu, Mohamed Hashish,” Surface quality and kerf width prediction in abrasive water jet machining of metal-composite stacks” Composites Part B 175(2019).
IV Ketan Verma, Anandakrishnan V., Sathish S. “Modelling and analysis of abrasive water jet machining of AA2014 alloy with Al2O3abrasive using fuzzy logic” Material Today: Proceedings (2019).
V M Douiri, M Boujelbene, E Bayrakta, “A Study of the Surface Integrity of Titanium Alloy Ti-6Al-4V in the Abrasive Water Jet Machining Process” Mechanics of Composite (2019) Springer.
VI Deepak Doreswamy, Akash V, NattWinitthumkul, AnjaiahDevineni“ Machining of D2 heat treated steel using Abrasive water jet: The effect of standoff distance and feed rate on kerf width and surface roughness” International Journal of Research in Engineering and Technology (2014).
VII D.Sidda Reddy, A.Seshu Kumar, M.Sreenivasa Rao, “ Parametric optimization of Abrasive water jet machining of Inconel 800H using Taguchi Methodology” Universal Journal of Mechanical Engineering (2014) 158-162.
VIII P. Shanmughasundaram,” Influence of abrasive water jet machining parameters on the surface roughness of eutectic Al-Si alloy- graphite composites” Journal of materials physics and mechanics19 (2014) 1-8.
IX DerzijaBegicHajdarevic, Ahmet Cekic, MuhamedMehmedovic, Almina Djelmic,”Experimental study on surface roughness in abrasive water jet cutting” Proceding Engineering (2015) 394-399.
X MS Rao, S Ravinder, AS Kumar, “Parametric optimization of abrasive water jet machining for Mild Steel: Taguchi Approach” International Journal of Current Engineering and Technology,“(2014) P-ISSN 2347-5161.
XI E Azarsa, L Cinco, M Papini, “Fabricated of high aspect ratio free-standing structures using abrasive water jet micro-machining” Journal of material processing Technology (2019) Volume 275.
XII K Balamurugan, M.UthayaKumar,S.Sankar,U.S.Hareesh& G.K.Warrier,”Modeling and Surface Texturing on surface roughness in machining LaPO4-Y2O3 Composite” Materials and Manufacturing Processes, (2017).
XIII L Nagdeve, V Chaturvedi, J Vimal, “Implementation of Taguchi approach for optimization of abrasive water jet machining process parameters” International Journal of Instrumentation control and Automation, (2012) ISSN:2231-1890.
XIV T.P.Latchoumi, K.Balamurugan,,K.Dinesh, T.P.Ezhilarasi,”Particle Swarm Optimization approach for water jet cavitation peeing” Measurement, (2019),184-189.
XV K.Balamurugan,M.Uthayakumar,S.Sankar,U.S.Hareesh,K.G.K.Warrier,” Predicting correlations in abrasive water jet cutting parameters of Lanthanum Phosphate/ Yttria composite by response surface methodology”, Measurement (2019), 309-318.
XVI SenerKarabulut, “Optimization of surface roughness and cutting force during AA7039/Al2O3 metal matrix composites milling using neural networks and Taguchi method”, Measurement (2015), 139-149.
XVII Pandu R.Vundavilli, M.B.Parappagoudar,S.P.Kodali,Surekha Benguluri,”Fuzzy logic-based expert system for prediction of depth of cut in abrasive water jet machining process”, Knowledge-Based Systems (2012), 456-464.
XVIII KSK Sasikumar,KP Arulshri, K Ponappa,“ A study on kerf characteristics of hybrid aluminum 7075 metal matrix composites machined using abrasive water jet machining technology”, Journal of Engineering Manufacture, (2016).
XIX S.Vigneshwaran, M.UthayaKumar, V Arumugaprabu, “Abrasive water jet machining of fiber-reinforced composite materials”, Journal of Reinforced plastics and composites, (2017).
XX John Kechagias, George Petropoulos, Nikolaos Vaxevanidis, ”Application of Taguchi design for quality characterization of abrasive water jet machining of TRIP sheet steels.” The international Journal of advanced manufacturing technology, (2012).
XXI K Balamurugan , A.chinnamahammad bhasha, Fabrication and property evaluation of Al 6061 + x% (RHA + TiC) hybrid metal matrix composite”, Sn applied science,(2019),1:997.

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