References
- Hashish, M. A Model for Abrasive Water Jet (AWJ) Machining. J. Eng. Mater. Technol. 1989, 111, 154–162. DOI: https://doi.org/10.1115/1.3226448.
- Jain, N. K.; Jain, V. K.; Deb, K. Optimization of Process Parameters of Mechanical Type Advanced Machining Processes Using Genetic Algorithms. Int. J. Mach. Tools Manuf. 2007, 47, 900–919. DOI: https://doi.org/10.1016/j.ijmachtools.2006.08.001.
- Çaydaş, U.; Hasçalık, A. A Study on Surface Roughness in Abrasive Waterjet Machining Process Using Artificial Neural Networks and Regression Analysis Method. J. Mater. Process. Technol. 2008, 202, 574–582. DOI: https://doi.org/10.1016/j.jmatprotec.2007.10.024.
- Zain, A. M.; Haron, H.; Sharif, S. Optimization of Process Parameters in the Abrasive Waterjet Machining Using Integrated SA-GA. Appl. Soft Comput. 2011, 11, 5350–5359. DOI: https://doi.org/10.1016/j.asoc.2011.05.024.
- Zain, A. M.; Haron, H.; Sharif, S. Estimation of the Minimum Machining Performance in the Abrasive Waterjet Machining Using Integrated ANN-SA. Expert Syst. Appl. 2011, 38, 8316–8326. DOI: https://doi.org/10.1016/j.eswa.2011.01.019.
- Aultrin, K. S. J.; Anand, M. D.; Jose, P. J. Modelling the Cutting Process and Cutting Performance in Abrasive Waterjet Machining Using Genetic-Fuzzy Approach. Procedia Eng. 2012, 38, 4013–4020. DOI: https://doi.org/10.1016/j.proeng.2012.06.459.
- Pawar, P. J.; Rao, R. V. Parameter Optimization of Machining Processes Using Teaching-Learning-Based Optimization Algorithm. Int. J. Adv. Manuf. Technol. 2013, 67, 995–1006. DOI: https://doi.org/10.1007/s00170-013-4961-6.
- Yusup, N.; Sarkheyli, A.; Zain, A. M.; Hashim, S.Z. M.; Ithnin, N. Estimation of Optimal Machining Control Parameters Using Artificial Bee Colony. J. Intell. Manuf. 2014, 25, 1463–1472. DOI: https://doi.org/10.1007/s10845-013-0753-y.
- Mohamad, A.; Zain, A. M.; Bazin, N.E. N.; Udin, A. A Process Prediction Model Based on Cuckoo Algorithm for Abrasive Waterjet Machining. J. Intell. Manuf. 2015, 26, 1247–1252. DOI: https://doi.org/10.1007/s10845-013-0853-8.
- Aultrin, K. S. J.; Anand, M. D. Multi-Objective Optimization of Abrasive Water Jet Machining of Aluminium 6061 Alloy by Grey Relational Analysis. J. Chem. Pharm. Sci. 2016, 9, 410–417.
- Jagadish; Bhowmik, S.; Ray, A. Prediction and Optimization of Process Parameters of Green Composites in AWJM Process Using Response Surface Methodology. Int. J. Adv. Manuf. Technol. 2016, 87, 1359–1370. DOI: https://doi.org/10.1007/s00170-015-8281-x.
- Kubade, P. R.; Patil, P.; Bidgar, A.; Papti, A.; Potdar, P.; Kshirsagar, R. G. Parametric Optimization of Abrasive Water Jet Machining of Inconel-718 Material. Int. Res. J. Eng. Technol. 2016, 3, 1236–1242.
- Lohar, S. R.; Kubade, P. R. Investigation of Effect of Abrasive Water Jet Machining (AWJM) Process Parameters on Performance Characteristics of High Carbon High Chromium Steel (AISI D3). Int. Adv. Res. J. Sci. Eng. Technol. 2017, 4,152–158. DOI: https://doi.org/10.17148/iarjset/ncdmete.2017.35.
- Shukla, R.; Singh, D. Selection of Parameters for Advanced Machining Processes Using Firefly Algorithm. Eng. Sci. Technol. Int. J. 2017, 20, 212–221. DOI: https://doi.org/10.1016/j.jestch.2016.06.001.
- Dhanawade, A.; Kumar, S. Experimental Study of Delamination and Kerf Geometry of Carbon Epoxy Composite Machined by Abrasive Water Jet. J. Compos. Mater. 2017, 51, 3373–3390. DOI: https://doi.org/10.1177/0021998316688950.
- Nair, A.; Kumanan, S. Multi-Performance Optimization of Abrasive Water Jet Machining of Inconel 617 using WPCA. Mater. Manuf. Processes 2017, 32, 693–699. DOI: https://doi.org/10.1080/10426914.2016.1244844.
- Mirjalili, S.; Mirjalili, S. M.; Lewis, A. Grey Wolf Optimizer. Adv. Eng. Software 2014, 69, 46–61. DOI: https://doi.org/10.1016/j.advengsoft.2013.12.007.
- Muro, C.; Escobedo, R.; Spector, L.; Coppinger, R. Wolf-Pack (Canis lupus) Hunting Strategies Emerge from Simple Rules in Computational Simulations. Behav. Process. 2011, 88, 192–197. DOI: https://doi.org/10.1016/j.beproc.2011.09.006.
- Paul, S.; Hoogstrate, A. M.; van Luttervelt, C. A.; Kals, H. J. J. Analytical Modeling of the Total Depth of Cut in Abrasive Water Jet Machining of Polycrystalline Brittle Materials. J. Mater. Process. Technol. 1998, 73, 206–212. DOI: https://doi.org/10.1016/s0924-0136(97)00230-6.
- Yue, Z.; Huang, C.; Zhu, H.; Wang, J.; Yao, P.; Liu, Z. Optimization of Machining Parameters in the Abrasive Waterjet Turning of Alumina Ceramic based on the Response Surface Methodology. Int. J. Adv. Manuf. Technol. 2014, 71, 2107–2114. DOI: https://doi.org/10.1007/s00170-014-5624-y.
- Westkamper, E.; Henning, A. Modeling of Wear Mechanisms at the Abrasive Waterjet Cutting Front. In Proceedings of the WJTA American Waterjet Conference, Houston, Texas, USA, 2003.