Machining Characteristics of Natural Fiber Particle Reinforced Polymer Composite Material using Artificial Neural Network
T. Naresh Kumar1, B. Murali2, J. Arulmani3
1T. Naresh Kumar, Department of Mechanical Engineering, Malla Reddy Engineering College, Hyderabad, Telangana 500100 India.
2B. Murali, Department of Mechanical Engineering, Vel Tech, Avadi, Chennai 600062, (Tamil Nadu), India. Mobile:9790501338.
3J. Arulmani, Department of Mechanical Engineering, Vel Tech, Avadi, Chennai 600062, (Tamil Nadu), India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 July 2019 | PP: 3350-3354 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8957078919 /19©BEIESP | DOI: 10.35940/ijitee.I8957.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The point of research is improvement of biocomposite materials dependent on biopolymers and characteristic filaments has been made through creation of Natural fiber powdered material (Abaca, Mudar and Hemp strengthened polymer composite material by utilizing bio epoxy tar. The present work centers around the forecast of push power and torque of the normal fiber fortified polymer composite materials and the qualities, contrasted and the Artificial Neural Network.
Key words: Abaca, Mudar, Hemp, Bio Resin, ANN, Machining Parameters
Scope of the Article: Composite Materials