Random Forest Modeling for Prediction of Thrust Force During Drilling of Flax/PP Composite
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3292-0_19
Reference9 articles.
1. Lotfi A, Li H, Dao DV (2021) Prusty G : Natural fiber–reinforced composites: a review on material, manufacturing, and machinability. J Thermoplast Compos Mater 34:238–284
2. Rajmohan T, Vinayagamoorthy R, Mohan K (2019) Review on effect machining parameters on performance of natural fibre–reinforced composites (NFRCs). J Thermoplast Compos Mater 32:1282–1302
3. Feito N, Muñoz-Sánchez A, Díaz-Álvarez A, Miguelez MH (2019) Multi-objective optimization analysis of cutting parameters when drilling composite materials with special geometry drills. Compos Struct 225:111187
4. Gaikhe V, Gaikhe YS, Patil JP (2018) Prediction of thrust force and torque in drilling of glass fiber reinforced plastic using mechanistic force model approach. Procedia CIRP 77:187–190
5. Kadhim RR, Kamil MY (2023) Comparison of machine learning models for breast cancer diagnosis. IAES Int J Artif Intell
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