Author : Shamphavi.S 1
Date of Publication :7th March 2017
Abstract: To design a motor that would overcome the drawbacks of the conventional spinning motor and to evaluate the characteristics of the chosen motor with the help of software packages from Infolytica. The motor which is currently used is three phase Totally Enclosed Fan Cooled Squirrel Cage Induction Motor (TEFCSCIM).The motor employed in the spinning machine undergoes partial loads during most of its operating hours.It is noted that the motor efficiency and power factor are poor in the case of partial load. Heat, Sound and Slip of the motor are few factors to be considered for the change in design. The objective of this project is to design a Permanent Magnet Brushless Direct Current (PMBLDC) Motor which would eliminate the above complications. Initially the design has to be analytically arrived and the same has to be scrutinized through the software packages from Infolytica.Critical key parameters such as speed, average and cogging torque has to be accounted in the analysis. Generally, the cogging torque increases with increase in average torque and hence there is a need to modify the rotor parameters such that the former remains low for significant increase in the latter. The software analysis and comparison will be followed by the final design of the spinning motor. We concentrate mainly on the effects of temperature. Temperature is of main concern because more cool the motor is, more efficient it is.
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- Radha Thangaraj1,ThangaRaj Chelliah1, Pascal Bouvry1, Millie Pant2, Ajith Abraham3,”optimal design of Induction motor for a spinning machine using population based metaheuristics”,1 Faculty of Science, Technology and Communications, University of Luxembourg, Luxembourg 2 Department of Paper Technology, Indian Institute of Technology Roorkee, India, 3 Machine Intelligent Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, USA
- C.ThangaRaj1, Radha ThangaRaj1, Millie Pant1, Pascal Bouvry2, Ajith Abraham3,”Design optimization of Induction motors with differential evolution algorithms with an application in textile spinning" Indian Institute of Technology Roorkee, India 2 Faculty of Science, Technology and Communications, University of Luxembourg, Luxembourg 3 Machine Intelligent Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, USA. 4 VSB Technical University Of Ostrava, Poruba, Czech Republic.