Flower Pollination Algorithm based Optimal Placement of Nano Coolant in Induction Motor
J. Shanmugapriyan1, S. Srikrishnakumar2, K. R. Sugavanam3
1J. Shanmugapriyan, Assistant Professor, Department of Electrical and Electronics Engineering, Vel Tech MultiTech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, India.
2S. Srikrishnakumar, Assistant Professor, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, India.
3K. R. Sugavanam, Assistant Professor, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, India.
Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 19 June 2019 | PP: 727-729 | Volume-8 Issue-8S June 2019 | Retrieval Number: H11250688S19/19©BEIESP
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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: This manuscript describes the best possible placement of nano coolant system by identifying the hotspots through FPA to diminish the harm and losses occurred owing to the high temperature in Induction motor. The important functions of cooling system are to absorb and dissipate the heat spontaneously. The hotspots of the induction motor are spotted with the FPA after thorough analysation of the temperature obtained from a thermal camera. The induction motor’s damage due to overheating is reduced with the help of this method. With abnormal temperature conditions, the efficiency of induction motor is reduced. The lifespan is also reduced. The proposed method provides a solution to such problems in induction motor. Experimental results also prove the results obtained from simulation.
Keywords: Flower Pollination Optimization (FPA), Particle Swarm Optimization (PSO), Induction Motor Heating, Nano Coolant.
Scope of the Article: Waveform Optimization for Wireless Power Transfer