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Investigation of Heat exchanger performance with delta-wing tape inserts for high Reynolds Number using various machine learning techniques
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Year: 2023 | Conference Paper |
The present study utilizes the support vector regression (SVR) technique with a cubic kernel to forecast the performance of a double-pipe heat exchanger using T-W tape inserts with wing-width ratios of 0.31, 0.47, and 0.63. The SVR model that is established is applied to predict two key parameters, namely, the thermal performance (η) and the friction factor (f). Various scenarios are examined by c...Show More
Investigation of Immersion Cooling Efficiency for Lithium-Ion Battery Pack with Machine Learning Validation
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Year: 2023 | Conference Paper |
Battery thermal management systems play a critical role in improving their power capability, extending lifetime, and minimizing the probability of thermal runaway. These systems aim to maintain a regulated operating temperature by removing heat from the battery pack and homogenizing the temperature within and between the cells. Precisely predicting the outlet fluid temperature is crucial to enhanc...Show More
Machine learning analysis of shear stress over a symmetrically stenosed arterial wall under the impact of magnetic field
2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
This study provides a framework to predict the shear stress over a symmetrically stenosed arterial wall under the impact of magnetic field using machine learning algorithms. We investigated the magnetohydrodynamics blood flow with the help of machine learning techniques. The considered model is governed by the principles of MHD. To predict the flow patterns and velocity of the blood flow it is imp...Show More
Machine learning analysis of shear stress over a symmetrically stenosed arterial wall under the impact of magnetic field
Year: 2023 | Conference Paper |
A common source cascaded MOS feedback charge pump with wide lock in range for DLL
2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)
Year: 2016 | Conference Paper |
Locking range of DLL (Delay Locked Loop) depends upon channel length modulation effect of CMOS. Via constant current source/sink Charge-pump adds/removes charges to/from a loop filter. A new feedback topology is used in proposed charge pump (CP) to reduce the current mismatch in charge pump mismatch for PET (Positron Emission Tomography) imaging applications. Simulations are performed in cadence s...Show More
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