Empirical modeling and optimization of kerf width in abrasive water jet machining – a short review

  • Authors

    • K. Venkata Subbaiah
    • Kammuluri Baburaja
    https://doi.org/10.14419/ijet.v7i4.21570

  • Changing demands of the industries require advanced materials to meet the demands of the industries researchers are constantly creating newer materials such as alloys, metal matrix composites and hybrid materials these metal materials are tailored either ferrous or non-ferrous, due to different compositions material properties are altered with respect to physical and mechanical properties, some of them are malleabil-ity, ductility, hardness and toughness, to machine these materials conventional methods of machining using lathe, milling, drilling may not be suitable due to low productivity and poor in accuracy and surface finish because of the boosted material properties. A capable method of machining would be unconventional machining methods such as wire EDM, Laser beam machining, chemical machining, electro chemical machining, water jet machining and abrasive water jet machining. In this paper the implication of abrasive water jet machining is emphasized based on the valuable research carried out by various researchers across the globe. This paper put forward the materials used, parameters considered, and design of experiments emphasized by researchers.

  • References

    1. [1] Nag, Akash, et al. "Influence of Abrasive Water Jet Turning Parameters on Variation of Diameter of Hybrid Metal Matrix Composite." Applications of Fluid Dynamics. Springer, Singapore, 2018. 495-504.

      [2] Gnanavelbabu, A., KaliyamoorthyRajkumar, and P. Saravanan. "Investigation on the cutting quality characteristics of abrasive water jet machining of AA6061-B4C-hBN hybrid metal matrix composites." Materials and Manufacturing Processes (2018): 1-11.

      [3] Kumar, K. Ravi, V. S. Sreebalaji, and T. Pridhar. "Characterization and optimization of Abrasive Water Jet Machining parameters of aluminium/tungsten carbide composites." Measurement 117 (2018): 57-66. https://doi.org/10.1016/j.measurement.2017.11.059.

      [4] Srivastava, Madhulika, et al. "Journal of Manufacturing Processes." (2018).455–468

      [5] Mardi, K. Bimla, et al. "Surface integrity of Mg-based nanocomposite produced by Abrasive Water Jet Machining (AWJM)." Materials and Manufacturing Processes 32.15 (2017): 1707-1714. https://doi.org/10.1080/10426914.2017.1279306.

      [6] Sasikumar, K. S. K., et al. "A study on kerf characteristics of hybrid aluminium 7075 metal matrix composites machined using abrasive water jet machining technology." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232.4 (2018): 690-704. https://doi.org/10.1177/0954405416654085.

      [7] Nag, Akash, et al. "Influence of Abrasive Water Jet Turning Parameters on Variation of Diameter of Hybrid Metal Matrix Composite." Applications of Fluid Dynamics. Springer, Singapore, 2018. 495-504.

      [8] Srivastava, Ashish Kumar, et al. "Parametric Study during Abrasive Water Jet Turning of Hybrid Metal Matrix Composite." Advances in Manufacturing Engineering and Materials. Springer, Cham, 2019. 72-84.

      [9] Gnanavelbabu, A., Kaliyamoorthy Rajkumar, and P. Saravanan. "Investigation on the cutting quality characteristics of abrasive water jet machining of AA6061-B4C-hBN hybrid metal matrix composites." Materials and Manufacturing Processes 33.12 (2018): 1313-1323. https://doi.org/10.1080/10426914.2018.1453146.

      [10] Srivastava, Ashish Kumar, et al. "Parametric Study during Abrasive Water Jet Turning of Hybrid Metal Matrix Composite." Advances in Manufacturing Engineering and Materials. Springer, Cham, 2019. 72-84.

      [11] Perec, Andrzej. "Experimental research into alternative abrasive material for the abrasive water-jet cutting of titanium." The International Journal of Advanced Manufacturing Technology (2018): 1-12.

      [12] Mardi, Kumari Bimla, et al. "Effect of Water Pressure during Abrasive Waterjet Machining of Mg-Based Nanocomposite." Applications of Fluid Dynamics. Springer, Singapore, 2018. 605-612 https://doi.org/10.1007/978-981-10-5329-0_46.

      [13] Selvakumar, Gurusamy, Shanmuga Sundaram Ram Prakash, and Nagarajan Lenin. "Experimental study on abrasive water jet machining of AA5083 in a range of thicknesses." International Journal of Abrasive Technology 8.3 (2018): 218-231. https://doi.org/10.1504/IJAT.2018.094170.

      [14] Rivero, A., et al. "Surface properties and fatigue failure analysis of alloy 718 surfaces milled by abrasive and plain waterjet." The International Journal of Advanced Manufacturing Technology 94.5-8 (2018): 2929-2938.

      [15] Sanghani, C. R., and M. M. Korat. "Performance Analysis of Abrasive Water Jet Machining Process for AISI 304 Stainless Steel." Journal of Experimental & Applied Mechanics 8.2 (2018): 53-55.

      [16] Prasad, S. Rajendra, K. Ravindranath, and M. L. S. Devakumar. "Experimental investigation and parametric optimization in abrasive jet machining on nickel 233 alloy using WASPAS and MOORA." Cogent Engineering 5.1 (2018): 1-12. https://doi.org/10.1080/23311916.2018.1497830.

      [17] Hloch, Sergej, et al. "Strengthening Effect after Disintegration of Stainless Steel Using Pulsating Water Jet." TehniÄki vjesnik25.4 (2018): 1075-1079.

      [18] Wanner, B., A. Archenti, and C. M. Nicolescu. "Hybrid Machining: An Industrial Case-Study Comparing Inconel718 Reaming and Drilling with Abrasive Waterjet Technology." International Conference on the Industry 4.0 model for Advanced Manufacturing. Springer, Cham, 2018.

      [19] Manoj, M., G. R. Jinu, and T. Muthuramalingam. "Multi Response Optimization of AWJM Process Parameters on Machining TiB 2 Particles Reinforced Al7075 Composite Using Taguchi-DEAR Methodology." Silicon (2018): 1-7.

      [20] Carach, Jan, et al. "Surface roughness of graphite and aluminium alloy after hydro-abrasive machining." Advances in Manufacturing. Springer, Cham, 2018. 805-813.

      [21] Muruganandhan, R., et al. "Investigation of water jet peening process parameters on AL6061-T6." Surface Engineering 34.4 (2018): 330-340. https://doi.org/10.1080/02670844.2017.1394564.

      [22] Lehocka, Dominika, Vladimir Simkulet, and Stanislaw Legutko. "Assessment of deformation characteristics on CW004A copper influenced by acoustically enhanced water jet." Advances in Manufacturing. Springer, Cham, 2018. 717-724.

      [23] Sreekanth, D. V., and M. Sreenivasa Rao. "Optimization of Process Parameters of Abrasive Jet Machining on Hastelloy through Response Surface Methodology." Journal of the Institute of Engineering 14.1 (2018): 170-178. https://doi.org/10.3126/jie.v14i1.20082.

      [24] Prabu, V. Arumuga, S. Thirumalai Kumaran, and M. Uthayakumar. "Influence of redmud particle hybridization in banana/sisal and sisal/glass composites." Particulate Science and Technology 36.4 (2018): 402-407. https://doi.org/10.1080/02726351.2016.1267284.

      [25] Shukla, Rajkamal, and Dinesh Singh. "Experimentation investigation of abrasive water jet machining parameters using Taguchi and Evolutionary optimization techniques." Swarm and Evolutionary Computation 32 (2017): 167-183. https://doi.org/10.1016/j.swevo.2016.07.002.

      [26] Srivastava, Ashish Kumar, et al. "Surface integrity in tangential turning of hybrid MMC A359/B4C/Al2O3 by abrasive waterjet." Journal of Manufacturing Processes 28 (2017): 11-20. https://doi.org/10.1016/j.jmapro.2017.05.017.

      [27] Yuvaraj, N., and M. Pradeep Kumar. "Surface integrity studies on abrasive water jet cutting of AISI D2 steel." Materials and Manufacturing Processes 32.2 (2017): 162-170 https://doi.org/10.1080/10426914.2016.1221093.

      [28] Madhu, S., and M. Balasubramanian. "Influence of nozzle design and process parameters on surface roughness of CFRP machined by abrasive jet." Materials and Manufacturing Processes 32.9 (2017): 1011-1018. https://doi.org/10.1080/10426914.2016.1257132.

      [29] Mardi, K. Bimla, et al. "Surface integrity of Mg-based nanocomposite produced by Abrasive Water Jet Machining (AWJM)." Materials and Manufacturing Processes 32.15 (2017): 1707-1714. https://doi.org/10.1080/10426914.2017.1279306.

      [30] Nair, Anish, and S. Kumanan. "Multi-performance optimization of abrasive water jet machining of Inconel 617 using WPCA." Materials and Manufacturing Processes 32.6 (2017): 693-699. https://doi.org/10.1080/10426914.2016.1244844.

      [31] Babu, Munuswamy Naresh, and Nambi Muthukrishnan. "Exploration on Kerf-angle and Surface Roughness in Abrasive Waterjet Machining using Response Surface Method." Journal of the Institution of Engineers (India): Series C (2017): 1-12.

      [32] Upadhyai, Ravi Prakash, et al. "an experimental study of kerf properties of lead zirconate titanate ceramic machined by abrasive water jet machining." Journal of Manufacturing Engineering 12.1 (2017): 6-11.

      [33] Babu, Munuswamy Naresh, and Nambi Muthukrishnan. "Exploration on Kerf-angle and Surface Roughness in Abrasive Waterjet Machining using Response Surface Method." Journal of the Institution of Engineers (India): Series C (2017): 1-12.

      [34] Shukla, Rajkamal, and Dinesh Singh. "Selection of parameters for advanced machining processes using firefly algorithm." Engineering Science and Technology, an International Journal 20.1 (2017): 212-221.

      [35] Balamurugan, K., et al. "Mathematical modelling on multiple variables in machining LaPO4/Y2O3 composite by abrasive waterjet." International Journal of Machining and Machinability of Materials 19.5 (2017): 426-439. https://doi.org/10.1504/IJMMM.2017.087616.

      [36] Shanmugavel, Rajesh, et al. "Mechanical and Machinability characteristics of Al–NiTi composites reinforced with SiC particulates." Journal of the Australian Ceramic Society 53.1 (2017): 177-185. https://doi.org/10.1007/s41779-017-0023-0.

      [37] Gulia, Vikas, and Aniket Nargundkar. "Optimization of Process Parameters of Abrasive Water Jet Machining Using Variations of Cohort Intelligence (CI)." Applications of Artificial Intelligence Techniques in Engineering. Springer, Singapore, 2019. 467-474. https://doi.org/10.1007/978-981-13-1822-1_43.

      [38] Qiang, Zhengrong, et al. "Optimization of abrasive waterjet machining using multi-objective cuckoo search algorithm." The International Journal of Advanced Manufacturing Technology (2018): 1-10.

      [39] Pawar, Padmakar J., Umesh S. Vidhate, and Mangesh Y. Khalkar. "Improving the quality characteristics of abrasive water jet machining of marble material using multi-objective artificial bee colony algorithm." Journal of Computational Design and Engineering 5.3 (2018): 319-328. https://doi.org/10.1016/j.jcde.2017.12.002.

      [40] Rao, Ravipudi Venkata. "Single-and Multi-objective Optimization of Traditional and Modern Machining Processes Using Jaya Algorithm and Its Variants." Jaya: An Advanced Optimization Algorithm and its Engineering Applications. Springer, Cham, 2019. 181-255.

      [41] Kalirasu, S., et al. "AWJM Performance of jute/polyester composite using MOORA and analytical models." Materials and Manufacturing Processes 32.15 (2017): 1730-1739. https://doi.org/10.1080/10426914.2017.1279314.

      [42] Manoj, M., G. R. Jinu, and T. Muthuramalingam. "Multi Response Optimization of AWJM Process Parameters on Machining TiB 2 Particles Reinforced Al7075 Composite Using Taguchi-DEAR Methodology." Silicon (2018): 1-7.

      [43] Chakraborty, Shankar, and Ankan Mitra. "Parametric optimization of abrasive water-jet machining processes using grey wolf optimizer." Materials and Manufacturing Processes (2018): 1-12.

      [44] Mokkandi, Purusothaman, et al. "Machinability performance of Al–NiTi and Al–NiTi–nano SiC composites with parametric optimization using GSA." Journal of the Australian Ceramic Society 53.2 (2017): 599-609. https://doi.org/10.1007/s41779-017-0072-4.

      [45] Tirumala, D., R. Gajjela, and R. Das. "ANN and RSM approach for modelling and multi objective optimization of abrasive water jet machining process." Decision Science Letters 7.4 (2018): 535-548.

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  • How to Cite

    Subbaiah, K. V., & Baburaja, K. (2018). Empirical modeling and optimization of kerf width in abrasive water jet machining – a short review. International Journal of Engineering & Technology, 7(4), 3238-3240. https://doi.org/10.14419/ijet.v7i4.21570