Abstract
Induction motors are the most common in residential, commercial, and industrial settings are also known as the workhorses of modern industry. Specially, Squirrel-cage type induction motor is distinguished by its simplicity, resilience, and low cost, all of which have always made it highly appealing, and it has thus risen to the top of the industrial sectors. These motors use a significant portion of the total electrical energy produced in the industry as a result of their widespread use. To improve the efficiency of induction motor becomes the priority during the design stage. This paper aims at optimizing the efficiency of three-phase induction motor by manipulating diameter of stator conductor and input power of a motor while keeping constant motor output of 1.1 KW while rest of the parameters are kept constant. Central composite design is adopted and, therefore, the experiments are conducted supported the planning matrix so obtained. A mathematical model additionally developed for the identical parametric optimization is finished through the response surface methodology. The response optimizer optimizes the overall efficiency of the motor through multi-objective optimization.
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Appendix
Appendix
The following table is obtained by ANSYS software for 3 phase, 1.1 KW, 440 V, 50 Hz induction motor.
Stator wire diameter (mm) | Speed (rpm) | Torque (N) | Input power | Output power | Efficiency |
---|---|---|---|---|---|
0.287 | 2896.61 | 3.6277 | 1.45855 | 1.1004 | 75.4445 |
0.302 | 2896.72 | 3.62586 | 1.45719 | 1.09988 | 75.4793 |
0.32 | 2896.79 | 3.62625 | 1.4562 | 1.10003 | 75.5407 |
0.34 | 2896.8 | 3.62642 | 1.45589 | 1.10008 | 75.5607 |
0.361 | 2896.72 | 3.62592 | 1.456719 | 1.099 | 75.4808 |
0.381 | 2896.28 | 3.6266 | 1.46268 | 1.09996 | 75.2017 |
0.404 | 2897.29 | 3.62535 | 1.44952 | 1.09995 | 75.8836 |
0.429 | 2896.71 | 3.62587 | 1.45623 | 1.09991 | 75.5313 |
0.455 | 2895.81 | 3.6266 | 1.46868 | 1.09978 | 74.8819 |
0.483 | 2896.93 | 3.62501 | 1.45443 | 1.09997 | 75.6107 |
0.511 | 2895.23 | 3.62781 | 1.47606 | 1.09991 | 74.5166 |
0.541 | 2896.37 | 3.62651 | 1.46168 | 1.09994 | 75.2522 |
0.574 | 2892.85 | 3.6341 | 1.50235 | 1.10009 | 73.2247 |
0.607 | 2894.39 | 3.62939 | 1.485 | 1.10007 | 74.0785 |
0.643 | 2895.81 | 3.626261 | 1.4687 | 1.09964 | 74.8718 |
0.683 | 2896.93 | 3.62497 | 1.45443 | 1.099669 | 75.6095 |
0.724 | 2888.64 | 3.63702 | 1.54543 | 1.1009 | 71.1897 |
0.767 | 2890.96 | 3.63342 | 1.52188 | 1.09998 | 72.2781 |
0.813 | 2892.9 | 3.63157 | 1.50191 | 1.10016 | 73.2511 |
0.861 | 2894.53 | 3.62882 | 1.48389 | 1.09995 | 74.9144 |
0.912 | 2895.86 | 3.6273 | 1.46833 | 1.09999 | 75.5979 |
0.965 | 2896.93 | 3.6245 | 1.45447 | 1.09955 | 75.5979 |
1.024 | 2896.93 | 3.6245 | 1.45447 | 1.09955 | 75.5979 |
2.052 | 2896.93 | 3.6245 | 1.45447 | 1.09955 | 75.5979 |
2.174 | 2896.93 | 3.6245 | 1.45447 | 1.09955 | 75.5979 |
2.304 | 2896.93 | 3.6245 | 1.45447 | 1.09955 | 75.5979 |
3.081 | 2896.93 | 3.6245 | 1.45447 | 1.09955 | 75.5979 |
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Sonje, D.M., Bangali, Y.N., Rout, S.R., Chaudhary, A.M. (2022). Efficiency Optimization of Three-Phase Induction Motor Using Response Surface Methodology. In: Pandian, A.P., Palanisamy, R., Narayanan, M., Senjyu, T. (eds) Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-7330-6_77
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