International Journal of Mechanical and Production Engineering (IJMPE)
.
Follow Us On :
current issues
Volume-12,Issue-1  ( Jan, 2024 )
Past issues
  1. Volume-11,Issue-12  ( Dec, 2023 )
  2. Volume-11,Issue-11  ( Nov, 2023 )
  3. Volume-11,Issue-10  ( Oct, 2023 )
  4. Volume-11,Issue-9  ( Sep, 2023 )
  5. Volume-11,Issue-8  ( Aug, 2023 )
  6. Volume-11,Issue-7  ( Jul, 2023 )
  7. Volume-11,Issue-6  ( Jun, 2023 )
  8. Volume-11,Issue-5  ( May, 2023 )
  9. Volume-11,Issue-4  ( Apr, 2023 )
  10. Volume-11,Issue-3  ( Mar, 2023 )

Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 130
Paper Published : 2388
No. of Authors : 6802
  Journal Paper


Paper Title :
Heat Transfer In Electrical Machine: A Case Study

Author :Chinababu Anima, Ravi Katukam

Article Citation :Chinababu Anima ,Ravi Katukam , (2015 ) " Heat Transfer In Electrical Machine: A Case Study " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 72-75, Volume-3,Issue-4

Abstract : Future design of Aircraft and Automotive needs innovation in propulsion mechanism which are based on electrical mode of operation. More Electric mobility needs a compact high performance electric motor which will assure long operating life with maximum efficiency. Electric motor design needs a multidisciplinary approach including efficient mechanism for heat transfer. The present study reports a Combined Computational fluid dynamics and network approach (CCFDN), applied to the problem of cooling a 1200kW traction alternator. In this combined approach, analysis is first performed using equivalent, lumped thermal network with a simplified circuit aimed at delivering fast, design class results. CFD calculations are next performed to estimate thermal resistances, which are used as input to the thermal networks. Iterative procedure is adopted for solving the network. Results are presented in terms of temperatures at different locations of the device for three cases: one without forced cooling (fan), and second with a fan. The maximum temperature values obtained in the second case is found to be 2.1 times lower than the values obtained in the first case. Results are compared with pure network approach using empirical correlations and with pure conjugate analysis using CFD. The present CCFDN approach avoids using empirical relations, yet much faster than the full conjugate CFD analysis.

Type : Research paper

Published : Volume-3,Issue-4


DOIONLINE NO - IJMPE-IRAJ-DOIONLINE-1919   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 93
| Published on 2015-04-14
   
   
IRAJ Other Journals
IJMPE updates
Volume-12,Issue-1 (Jan, 2024 )
The Conference World

JOURNAL SUPPORTED BY