7 Papers
4 Citations
Avinash Kumar is an academic researcher from Indian Institute of Information Technology Design & Manufacturing Kancheepuram. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 2 publications.
Chat about Author
Papers
Microfluidics-Based Point-of-Care Testing (POCT) Devices in Dealing with Waves of COVID-19 Pandemic: The Emerging Solution
TL;DR: The integration of microfluidic devices with smartphones and wireless network systems using the Internet-of-things will enable readers for manufacturing advanced POCT devices for remote disease management in low resource settings.
75
State-of-the-Art in Sustainable Machining of Different Materials Using Nano Minimum Quality Lubrication (NMQL)
TL;DR: In this article , the authors provide a quick reference for researchers working on the practical use of MQL lubricants with nanopowders dissolved and their application in machining for different materials.
Cryopreservation: A Comprehensive Overview, Challenges, and Future Perspectives
TL;DR: In this paper , the authors present a brief description of each of the standard cryopreservation procedures, such as slow freezing and vitrification, along with the membrane permeating and nonpermeating cryoprotectants.
32
Artificial intelligence technique based performance estimation of solid oxide fuel cells
Yathavan Subramanian,R. Veena,S.A. Muhammed Ali,Avinash Kumar,Ramesh Kumar Gubediran,Anitha Dhanasekaran,Dhanasekaran Gurusamy,Kalpana Muniandi +7 more
TL;DR: In this article, a Support Vector Machine (SVM) was used to predict the maximum current density and power density of the NiO-SDC composite anode and La 0.6Sr0.4Co 0.8O3-δ (LSCF) cathode electrodes of SOFC.
10
Influence of hexagonal boron nitride additive nanocutting fluid on the machining of AA6061-T6 alloy using minimum quality lubrication
TL;DR: In this paper , the machining performance of soya bean oil-based hexagonal boron nitride nanofluid under minimum quantity lubrication during the milling of aluminum alloy AA6061-T6 was carried out to optimize machining parameters for minimizing the cutting force and surface roughness.
8