Estimation and control of surface quality and traverse speed in abrasive water jet machining of AISI 1030 steel using different work-piece thicknesses by RSM

References

• Aultrin, K. J. “Anand MD Experimental Framework and Study of AWJM Process for an Aluminium 6061 Alloy Using RSM.” In: Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on, 2014. Kanyakumari, India, IEEE, pp 1432–1440
   Google Scholar
• Azmir, M., and A. Ahsan. 2009. “A Study of Abrasive Water Jet Machining Process on Glass/epoxy Composite Laminate.” Journal of Materials Processing Technology 209 (20): 6168–6173. doi:10.1016/j.jmatprotec.2009.08.011.
   Web of Science ®Google Scholar
• Begic-Hajdarevic, D., A. Cekic, M. Mehmedovic, and A. Djelmic. 2015. “Experimental Study on Surface Roughness in Abrasive Water Jet Cutting.” Procedia Engineering 100: 394–399. doi:10.1016/j.proeng.2015.01.383.
   Google Scholar
• Bhowmik, S., A. Ray, and A. Ray. 2016. “Prediction and Optimization of Process Parameters of Green Composites in AWJM Process Using Response Surface Methodology.” The International Journal of Advanced Manufacturing Technology 87 (5–8): 1359–1370. doi:10.1007/s00170-015-8281-x.
   Web of Science ®Google Scholar
• Çaydaş, U., and A. Hascalık. 2008. “A Study on Surface Roughness in Abrasive Waterjet Machining Process Using Artificial Neural Networks and Regression Analysis Method.” Journal of Materials Processing Technology 202 (1–3): 574–582. doi:10.1016/j.jmatprotec.2007.10.024.
   Web of Science ®Google Scholar
• Deshpande, Y., Andhare, A., & Sahu, N. K. (2017). Estimation of surface roughness using cutting parameters, force, sound, and vibration in turning of Inconel 718. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39(12), 5087-5096.
   Google Scholar
• Deshpande, Y. V., A. B. Andhare, P. Padole, and N. Sahu. (2018a). “Application of Advanced Algorithms for Enhancement in Machining Performance of Inconel 718.”
   Google Scholar
• Deshpande, Y. V., A. B. Andhare, and P. M. Padole. 2018b. “Experimental Results on the Performance of Cryogenic Treatment of Tool and Minimum Quantity Lubrication for Machinability Improvement in the Turning of Inconel 718.” Journal of the Brazilian Society of Mechanical Sciences and Engineering 40 (1): 6. doi:10.1007/s40430-017-0920-8.
   Web of Science ®Google Scholar
• Dumbhare, P. A., S. Dubey, Y. V. Deshpande, A. B. Andhare, and P. S. Barve. 2018. “Modelling and Multi-objective Optimization of Surface Roughness and Kerf Taper Angle in Abrasive Water Jet Machining of Steel.” Journal of the Brazilian Society of Mechanical Sciences and Engineering 40 (5): 259. doi:10.1007/s40430-018-1186-5.
   Web of Science ®Google Scholar
• Hascalik, A., U. Çaydaş, and H. Gürün. 2007. “Effect of Traverse Speed on Abrasive Waterjet Machining of Ti–6Al–4V Alloy.” Materials & Design 28 (6): 1953–1957. doi:10.1016/j.matdes.2006.04.020.
   Web of Science ®Google Scholar
• Izelu, C. O., E. I. Essien, M. O. Okwu, D. K. Garba, and C. N. Agunobi-Ozoekwe. 2019. “Lathe Boring Operation on ASTM A304 Steel Parameter Optimization Using Response Surface Methodology.” Australian Journal of Mechanical Engineering 1–15. doi:10.1080/14484846.2019.1662534.
   Web of Science ®Google Scholar
• Jain, V. K. 2009. Advanced Machining Processes. Allied publishers.
   Google Scholar
• Kartal, F., and H. Gokkaya. 2013. “Turning with Abrasive Water Jet Machining-a Review.” Engineering Science & Technology, an International Journal 16: 3.
   Google Scholar
• Kumar, A., Singh, H., & Kumar, V. (2018). Study the parametric effect of abrasive water jet machining on surface roughness of Inconel 718 using RSM-BBD techniques. Materials and Manufacturing Processes, 33(13), 1483-1490.
   Google Scholar
• Liu, H., J. Wang, N. Kelson, and R. Brown. 2004. “A Study of Abrasive Waterjet Characteristics by CFD Simulation.” Journal of Materials Processing Technology 153: 488–493. doi:10.1016/j.jmatprotec.2004.04.037.
   Web of Science ®Google Scholar
• Mayuet, P. F., F. Girot, A. Lamíkiz, S. R. Fernández-Vidal, J. Salguero, and M. Marcos. 2015. “SOM/SEM Based Characterization of Internal Delaminations of CFRP Samples Machined by AWJM.” Procedia Eng 132: 693–700. doi:10.1016/j.proeng.2015.12.549.
   Google Scholar
• Mutavgjic, V., Z. Jurkovic, and M. Franulovic. “Sekulic M Experimental Investigation of Surface Roughness Obtained by Abrasive Water Jet Machining.” In: 15th International Research/Expert Conference “Trends in the Development of Machinery and Associated Technology” TMT, 2011.Prague, Czech Republic.
   Google Scholar
• Myers, R. H., D. C. Montgomery, and C. M. Anderson-Cook. 2016. Response Surface Methodology: Process and Product Optimization Using Designed Experiments. Hoboken, New Jersey: John Wiley & Sons.
   Google Scholar
• Nair, V. N., B. Abraham, J. MacKay, G. Box, R. N. Kacker, T. J. Lorenzen, J. M. Lucas, et al. 1992. “Taguchi’s Parameter Design: A Panel Discussion.” Technometrics 34 (2): 127–161. doi:10.1080/00401706.1992.10484904.
   Web of Science ®Google Scholar
• Naresh Babu, M., and N. Muthukrishnan. 2014. “Investigation on Surface Roughness in Abrasive Water-jet Machining by the Response Surface Method.” Materials and Manufacturing Processes 29 (11–12): 1422–1428. doi:10.1080/10426914.2014.952020.
   Web of Science ®Google Scholar
• Pawar, P. J., U. S. Vidhate, M. Y. Khalkar, P. J. Pawar, U. S. Vidhate, and M. Y. Khalkar. 2018. “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): 319–328. doi:10.1016/j.jcde.2017.12.002.
   Web of Science ®Google Scholar
• Ramulu, M., R. Pahuja, M. Hashish, and V. Isvilonanda (2015, November). “Abrasive Waterjet Machining Effects on Kerf Quality in Thin Fiber Metal Laminate.” In Proceedings of the WJTA-IMCA Conference and Expo, New Orleans, LA, USA (pp. 2–4).
   Google Scholar
• Rao, K. V., & Murthy, P. B. G. S. N. (2018). Modeling and optimization of tool vibration and surface roughness in boring of steel using RSM, ANN and SVM. Journal of intelligent manufacturing, 29(7), 1533-1543.
   Google Scholar
• Rao, T. B., A. G. Krishna, R. K. Katta, and K. R. Krishna. 2015. “Modeling and Multi-response Optimization of Machining Performance while Turning Hardened Steel with Self-propelled Rotary Tool.” Advances in Manufacturing 3 (1): 84–95. doi:10.1007/s40436-014-0092-z.
   Web of Science ®Google Scholar
• Santhanakumar, M., R. Adalarasan, and M. Rajmohan. 2015. “Experimental Modelling and Analysis in Abrasive Waterjet Cutting of Ceramic Tiles Using Grey-based Response Surface Methodology.” Arabian Journal for Science & Engineering (Springer Science & Business Media BV) 40: 11.
   Web of Science ®Google Scholar
• Selvakumar, G., S. S. R. Prakash, and N. Lenin. 2018. “Experimental Study on Abrasive Water Jet Machining of AA5083 in a Range of Thicknesses.” International Journal of Abrasive Technology 8 (3): 218–231. doi:10.1504/IJAT.2018.094170.
   Google Scholar
• Selvan, M. C. P., N. M. S. Raju, and H. Sachidananda. 2012. “Effects of Process Parameters on Surface Roughness in Abrasive Waterjet Cutting of Aluminium.” Frontiers of Mechanical Engineering 7 (4): 439–444. doi:10.1007/s11465-012-0337-0.
   Google Scholar
• Wang, J. 2010. “Depth of Cut Models for Multipass Abrasive Waterjet Cutting of Alumina Ceramics with Nozzle Oscillation.” Frontiers of Mechanical Engineering in China 5 (1): 19–32. doi:10.1007/s11465-009-0082-1.
   Google Scholar