Performance Prediction of Abrasive Water Jet Machining Composite Laminates Using Artificial Neural Networks and Regression Analysis Method
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42659-9_30
Reference18 articles.
1. Natarajan, Y., Murugesan, P.K., Mohan, M., et al.: Abrasive Water Jet Machining process: a state of art of review. J Manuf Process 49, 271–322 (2020). https://doi.org/10.1016/j.jmapro.2019.11.030
2. Melentiev, R., Fang, F.: Recent advances and challenges of abrasive jet machining. CIRP J. Manuf. Sci. Technol. 22, 1–20 (2018). https://doi.org/10.1016/j.cirpj.2018.06.001
3. Tosun, N., Özler, L.: A study of tool life in hot machining using artificial neural networks and regression analysis method. J. Mater. Process. Technol. 124, 99–104 (2002). https://doi.org/10.1016/S0924-0136(02)00086-9
4. Arola, D., Ramulu, M.: A study of kerf characteristics in abrasive waterjet machining of grapite / epoxy composite. ASME J. Eng. Mater. Technol. 118, 256–265 (1996)
5. Wang, J.: Abrasive waterjet machining of polymer matrix composites – cutting performance, erosive process and predictive models. Int. J. Adv. Manuf. Technol. 15(10), 757–768 (1999). https://doi.org/10.1007/s001700050129
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