Experimental Investigation of Optimization of Machining Parameters in Abrasive Water Jet Machining

Abstract:

Now a days, Non-Conventional Machining process is gaining more attention by the researchers. Abrasive Water jet machining (AWJM) is one of such machining process where material is removed with abrasive slurry as cutting tool. The present work discuss about the development of an optimal solution for minimizing surface roughness using a response surface methodology (RSM) while machining of EN grade steel. The machining parameters considered for the study are Abrasive Grain Size (AGS) and Hydraulic Pressure (HP) and Stand Off Distance (SOD) and the Abrasive Flow Rate (AFR). The response parameter is surface roughness (Ra). The experiments are performed based on the Box-Behnken design. Additionally, the significance of the developed optimization design has been identified using analysis of variance (ANOVA). Finally, the validity and adequacy of the developed model are done through confirmation tests. Key Words: Abrasive Water jet Machining, Response Surface Methodology, Optimization, ANOVA

• Periodical: Advances in Science and Technology (Volume 120)
• Pages: 101-109
• DOI: https://doi.org/10.4028/p-2ov163
• Online since: September 2022
• Authors: S. Naga Kumar, P. Sasidhar, M. Rajyalakshmi*, K.I. Vishnu Vandana
• Keywords: Abrasive Water Jet Machining, ANOVA, Optimization, Response Surface Methodology

References

[1] H. Hocheng, H. Y. Tsai, J. J. Shiue, and B. Wang, Feasibility study of abrasive-waterjet milling of fiber-reinforced plastics,, J. Manuf. Sci. Eng. Trans. ASME, vol. 119, no. 2, p.133–142, (1997).

DOI: 10.1115/1.2831088

[2] J. Folkes, Waterjet-An innovative tool for manufacturing,, J. Mater. Process. Technol., vol. 209, no. 20, p.6181–6189, (2009).

DOI: 10.1016/j.jmatprotec.2009.05.025

[3] A. W. Momber, Principles of Abrasive Water Jet Machining. (2018).

[4] J. Wang and W. C. K. Wong, A study of abrasive waterjet cutting of metallic coated sheet steels,, Int. J. Mach. Tools Manuf., vol. 39, no. 6, p.855–870, (1999).

DOI: 10.1016/s0890-6955(98)00078-9

[5] M. Chithirai Pon Selvan, N. Mohana Sundara Raju, and H. K. Sachidananda, Effects of process parameters on surface roughness in abrasive waterjet cutting of aluminium,, Front. Mech. Eng., vol. 7, no. 4, p.439–444, (2012).

DOI: 10.1007/s11465-012-0337-0

[6] P. S. Chakravarthy and N. R. Babu, New approach for selection of optimal process parameters in Abrasive Water Jet cutting,, Mater. Manuf. Process., vol. 14, no. 4, p.581–600, (1999).

DOI: 10.1080/10426919908914851

[7] F. Müller and J. Monaghan, Non-conventional machining of particle reinforced metal matrix composite,, Int. J. Mach. Tools Manuf., vol. 40, no. 9, p.1351–1366, (2000).

DOI: 10.1016/s0890-6955(99)00121-2

[8] A. A. Khan and M. M. Haque, Performance of different abrasive materials during abrasive water jet machining of glass,, J. Mater. Process. Technol., vol. 191, no. 1–3, p.404–407, (2007).

DOI: 10.1016/j.jmatprotec.2007.03.071

[9] U. Çaydaş and A. Hasçalik, A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method,, J. Mater. Process. Technol., vol. 202, no. 1–3, p.574–582, (2008).

DOI: 10.1016/j.jmatprotec.2007.10.024

[10] M. A. Azmir and A. K. Ahsan, Investigation on glass/epoxy composite surfaces machined by abrasive water jet machining,, J. Mater. Process. Technol., vol. 198, no. 1–3, p.122–128, (2008).

DOI: 10.1016/j.jmatprotec.2007.07.014

[11] J. Wang and D. M. Guo, The cutting performance in multipass abrasive waterjet machining of industrial ceramics,, J. Mater. Process. Technol., vol. 133, no. 3, p.371–377, (2003).

DOI: 10.1016/s0924-0136(02)01125-1

[12] M. Chithirai, P. Selvan, N. Mohana, and S. Raju, Assessment of Process Parameters in Abrasive Waterjet Cutting of Stainless Steel,, Int. J. Adv. Eng. Technol., vol. 34, no. 3, p.34–40, (2011).

DOI: 10.1007/s11465-012-0337-0

[13] L. NAGDEVE, V. CHATURVEDI, and J. VIMAL, Implementation of Taguchi Approach for Ptimization of Abrasive Water Jet Machining Process Parameters,, Int. J. Instrum. Control Autom., p.224–228, (2012).

DOI: 10.47893/ijica.2012.1041

[14] A. A. P. U. D. Gulhane*, P. P. Patkar, P. P. Toraskar, S. P. Patil, ANALYSIS OF ABRASIVE JET MACHINING PARAMETERS ON MRR AND KERF WIDTH OF HARD AND BRITTLE MATERIALS LIKE CERAMIC,, nternational J. Des. Manuf. Technol. (IJDMT), ISSN 0976 – Int. J. Des. Manuf. 6995(Print), ISSN 0976 – 7002(Online) Vol. 4, Issue 1, Janu, vol. 4, no. 1, p.51–58, (2013).

DOI: 10.34218/ijdmt.4.1.2013.30320130401005

[15] S. Ekinović and ; S Yalcin, Application of Modelling and Optimization Methods in Abrasive Water Jet Machining,, J.Vivancos J. Trends Dev. Mach. Assoc. Technol., vol. 16, no. 1, p.59–62, (2012).

[16] J. Jeykrishnan, B. Vijaya Ramnath, S. Sree Vignesh, P. Sridharan, and B. Saravanan, Optimization of process parameters in abrasive water jet machining/cutting (AWJM) of nickel alloy using traditional analysis to minimize kerf taper angle,, Mater. Today Proc., vol. 16, p.392–397, (2019).

DOI: 10.1016/j.matpr.2019.05.106

[17] T. V. K. Gupta, J. Ramkumar, P. Tandon, and N. S. Vyas, Application of artificial neural networks in abrasive water jet milling,, Procedia CIRP, vol. 37, no. December, p.225–229, (2015).

DOI: 10.1016/j.procir.2015.08.076

[18] J. Viswanath, C. L. Tulasi, and K. Anand Babu, Optimizing the process parameters of AWJM using Taguchi method and ANOVA on Inconel 625,, ARPN J. Eng. Appl. Sci., vol. 13, no. 5, p.1578–1586, (2018).

[19] V. Chaturvedi and D. Singh, Multi response optimization of process parameters of abrasive water jet machining for stainless steel AISI 304 using VIKOR approach coupled with signal to noise ratio methodology,, J. Adv. Manuf. Syst., vol. 14, no. 2, p.107–121, (2015).

DOI: 10.1142/s0219686715500080

[20] R. M. Samson, S. Rajak, T. D. B. Kannan, and K. R. Sampreet, Optimization of Process Parameters in Abrasive Water Jet Machining of Inconel 718 Using VIKOR Method,, J. Inst. Eng. Ser. C, vol. 101, no. 3, p.579–585, (2020).

DOI: 10.1007/s40032-020-00569-4

[21] Jagadish, S. Bhowmik, and A. Ray, Prediction of surface roughness quality of green abrasive water jet machining: a soft computing approach,, J. Intell. Manuf., vol. 30, no. 8, p.2965–2979, (2019).

DOI: 10.1007/s10845-015-1169-7

[22] N. Yuvaraj and M. Pradeep Kumar, Multiresponse Optimization of Abrasive Water Jet Cutting Process Parameters Using TOPSIS Approach,, Mater. Manuf. Process., vol. 30, no. 7, p.882–889, (2015).

DOI: 10.1080/10426914.2014.994763