117
Views
1
CrossRef citations to date
0
Altmetric
Research Article

AWJ Parameters Optimisation via BBD-ISOA approach while Machining NFRP Composite

ORCID Icon & ORCID Icon
Pages 1130-1143 | Received 12 Oct 2022, Accepted 08 Nov 2022, Published online: 09 Jan 2023

References

  • Li, M.; Pu, Y.; Thomas, V. M.; Yoo, C. G.; Ozcan, S.; Deng, Y.; Nelson, K.; Ragauskas, A. J. Recent Advancements of Plant-Based Natural Fiber–Reinforced Composites and Their Applications. Compos. B Eng. 2020, 200(108254), 108254. DOI: 10.1016/j.compositesb.2020.108254.
  • Karimah, A.; Ridho, M. R.; Munawar, S. S.; Adi, D. S.; Ismadi; Damayanti, R.; Subiyanto, B.; Fatriasari, W.; Fudholi, A. A Review on Natural Fibers for Development of Eco-Friendly Bio-Composite: Characteristics, and Utilizations. J. Mater. Res. Technol. 2021, 13, 2442–2458. DOI: 10.1016/j.jmrt.2021.06.014.
  • Kamarudin, S. H.; Mohd Basri, M. S.; Rayung, M.; Abu, F.; Ahmad, S.; Norizan, M. N.; Osman, S.; Sarifuddin, N.; Desa, M. S. Z. M.; Abdullah, U. H., et al. A Review on Natural Fiber Reinforced Polymer Composites (NFRPC) for Sustainable Industrial Applications. Polymers. 2022, 14(17), 3698. DOI: 10.3390/polym14173698.
  • Oladele, I. O.; Omotosho, T. F.; Adediran, A. A. Polymer-Based Composites: An Indispensable Material for Present and Future Applications. Int. J. Polym. Sci. 2020, 2020, 1–12. DOI: 10.1155/2020/8834518.
  • Chandgude, A. K.; Barve, S. B. Modeling and Multi-Response Optimization of Abrasive Water Jet Machining Using Ann Coupled with NSGA-II. Surf. Rev. Lett. 2022, 29(03). DOI: 10.1142/s0218625x22500354.
  • Rajak, D. K.; Pagar, D. D.; Menezes, P. L.; Linul, E. Fiber-Reinforced Polymer Composites: Manufacturing, Properties, and Applications. Polymers. 2019, 11(10), 1667. DOI: 10.3390/polym11101667.
  • Masoud, F.; Sapuan, S. M.; Mohd Ariffin, M. K. A.; Nukman, Y.; Bayraktar, E. Cutting Processes of Natural Fiber-Reinforced Polymer Composites. Polymers. 2020, 12(6), 1332. DOI: 10.3390/polym12061332.
  • AL-Oqla, F. M.; Sapuan, S. M. Natural Fiber Reinforced Polymer Composites in Industrial Applications: Feasibility of Date Palm Fibers for Sustainable Automotive Industry. J. Clean. Prod. 2014, 66, 347–354. DOI: 10.1016/j.jclepro.2013.10.050.
  • Ali, H. M. Department of Refrigeration and Air Conditioning Technology Engineering, Technical Engineering College of Mosul, North Technical University, Mosul, Iraq. A Review Study on the Traditional Machining of Composite Materials. J. Res. Updates Polym. Sci. 2017, 6(4), 142–146. DOI: 10.6000/1929-5995.2017.06.04.4.
  • Raj, S. S. R.; Dhas, J. E. R.; Jesuthanam, C. P. Challenges on Machining Characteristics of Natural Fiber-Reinforced Composites – a Review. J. Reinf. Plast. Compos. 2021, 40(1–2), 41–69. DOI: 10.1177/0731684420940773.
  • Chaturvedi, V.; Singh, D. 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. 2015, 14(02), 107–121. DOI: 10.1142/s0219686715500080.
  • Mohit, H.; Mavinkere Rangappa, S.; Siengchin, S.; Gorbatyuk, S.; Manimaran, P.; Alka Kumari, C.; Khan, A.; Doddamani, M. A Comprehensive Review on Performance and Machinability of Plant Fiber Polymer Composites. Polym. Compos. 2022, 43(1), 608–623. DOI: 10.1002/pc.26403.
  • Bañon, F.; Sambruno, A.; González-Rovira, L.; Vazquez-Martinez, J. M.; Salguero, J. A Review on the Abrasive Water-Jet Machining of Metal–Carbon Fiber Hybrid Materials. Metals. 2021, 11(1), 164. DOI: 10.3390/met11010164.
  • Jankovic, P. L.; Madic, M. J.; Petkovic, D. L.; Radovanovic, M. R. Analysis and Modeling of the Effects of Process Parameters on Specific Cutting Energy in Abrasive Water Jet Cutting. Therm. Sci. 2018, 22(5), 1459–1470. DOI: 10.2298/tsci18s5459j.
  • Mahakur, V. K.; Bhowmik, S.; Patowari, P. K. Machining Parametric Study on the Natural Fiber Reinforced Composites: A Review. Proc. Inst. Mech. Eng. Part C. 2022, 236(11), 6232–6249. DOI: 10.1177/09544062211063752.
  • Khan, M. A.; Soni, H.; Mashinini, P. M.; Uthayakumar, M. Abrasive Water Jet Cutting Process Form Machining Metals and Composites for Engineering Applications: A Review. Eng. Res. Express. 2021, 3(2), 022004. DOI: 10.1088/2631-8695/abfe98.
  • Khan, A.; Raouf, I.; Noh, Y. R.; Lee, D.; Sohn, J. W.; Kim, H. S. Autonomous Assessment of Delamination in Laminated Composites Using Deep Learning and Data Augmentation. Compos. Struct. 2022, 290(115502), 115502. DOI: 10.1016/j.compstruct.2022.115502.
  • Paul, S.; Hoogstrate, A. M.; van Praag, R. Abrasive Water Jet Machining of Glass Fibre Metal Laminates. Proc. Inst. Mech. Eng. Pt. B. 2002, 216(11), 1459–1469. DOI: 10.1243/095440502320783396.
  • Vigneshwaran, S.; Uthayakumar, M.; Arumugaprabu, V. Abrasive Water Jet Machining of Fiber-Reinforced Composite Materials. J. Reinf. Plast. Compos. 2018, 37(4), 230–237. DOI: 10.1177/0731684417740771.
  • Altin Karataş, M.; Motorcu, A. R.; Gökkaya, H. Optimization of Machining Parameters for Kerf Angle and Roundness Error in Abrasive Water Jet Drilling of CFRP Composites with Different Fiber Orientation Angles. J. Braz. Soc. Mech. Sci. Eng. 2020, 42(4), 4. DOI: 10.1007/s40430-020-2261-2.
  • Kavimani, V.; Gopal, P. M.; Sumesh, K. R.; Kumar, N. V. Multi Response Optimization on Machinability of SiC Waste Fillers Reinforced Polymer Matrix Composite Using Taguchi’s Coupled Grey Relational Analysis. Silicon. 2022, 14(1), 65–73. DOI: 10.1007/s12633-020-00782-x.
  • Akıncıoğlu, S. Investigation of Effect of Abrasive Water Jet (AWJ) Machining Parameters on Aramid Fiber-Reinforced Polymer (AFRP) Composite Materials. Aircr. Eng. Aerosp. Technol. 2021, 93(4), 615–628. DOI: 10.1108/aeat-11-2020-0249.
  • Pandian, C. K. A.; Jailani, H. S. Linen Fabric-Jute Fabric-Fumed Silica-Epoxy Sandwich Laminate: AWJ Machining and Multi-Response Optimisation. Silicon. 2021, 13(4), 1239–1248. DOI: 10.1007/s12633-020-00515-0.
  • Jagadish; Patel, G. C. M.; Sibalija, T. V.; Mumtaz, J.; Li, Z. Abrasive Water Jet Machining for a High-Quality Green Composite: The Soft Computing Strategy for Modeling and Optimization. J. Braz. Soc. Mech. Sci. Eng. 2022, 44(3), 3. DOI: 10.1007/s40430-022-03378-1.
  • Rao, V. D. P.; Mrudula, M.; Geethika, V. N. Multi-Objective Optimization of Parameters in Abrasive Water Jet Machining of Carbon-Glass Fibre-Reinforced Hybrid Composites. J. Inst. Eng. (India) Ser. D. 2019, 100(1), 55–66. DOI: 10.1007/s40033-019-00181-6.
  • Li, D.; Jing, M.; Dai, X.; Chen, Z.; Ma, C.; Chen, J. Current Status of Pineapple Breeding, Industrial Development, and Genetics in China. Euphytica. 2022, 218, 6. DOI: 10.1007/s10681-022-03030-y.
  • Singh, A. K.; Bedi, R.; Kaith, B. S. Composite Materials Based on Recycled Polyethylene Terephthalate and Their Properties – a Comprehensive Review. Compos. B Eng. 2021, 219(108928), 108928. DOI: 10.1016/j.compositesb.2021.108928.
  • Tamilarasan, A.; Renugambal, A.; Vijayan, D. Parametric Estimation for AWJ Cutting of Ti-6al-4V Alloy Using Rat Swarm Optimization Algorithm. Mater. Manuf. Process. 2022, 37(16), 1–11. DOI: 10.1080/10426914.2022.2065011.
  • Jani, S. P.; Senthil Kumar, A.; Khan, M. A.; Sujin Jose, A. Design and Optimization of Unit Production Cost for AWJ Process on Machining Hybrid Natural Fibre Composite Material. Int. J. Lightweight Mater. Manuf. 2021, 4(4), 491–497. DOI: 10.1016/j.ijlmm.2021.07.002.
  • Mayuet, P. F.; Girot, F.; Lamíkiz, A.; Fernández-Vidal, S. R.; Salguero, J.; Marcos, M. SOM/SEM Based Characterization of Internal Delaminations of CFRP Samples Machined by AWJM. Procedia. Eng. 2015, 132, 693–700. DOI: 10.1016/j.proeng.2015.12.549.
  • Arola, D.; Ramulu, M. Material Removal in Abrasive Waterjet Machining of Metals Surface Integrity and Texture. Wear. 1997, 210(1–2), 50–58. DOI: 10.1016/s0043-1648(97)00087-2.
  • Hashish, M. Pressure Effects in Abrasive-Waterjet (AWJ) Machining. J. Eng. Mater. Technol. 1989, 111(3), 221–228. DOI: 10.1115/1.3226458.
  • Dhiman, G.; Kumar, V. Seagull Optimization Algorithm: Theory and Its Applications for Large-Scale Industrial Engineering Problems. Knowl. Based Syst. 2019, 165, 169–196. DOI: 10.1016/j.knosys.2018.11.024.
  • Ewees, A. A.; Mostafa, R. R.; Ghoniem, R. M.; Gaheen, M. A. Improved Seagull Optimization Algorithm Using Lévy Flight and Mutation Operator for Feature Selection. Neural Comput. Appl. 2022, 34(10), 7437–7472. DOI: 10.1007/s00521-021-06751-8.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.