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13 results on '"Sampath Kumar, L."'

2. Deep Learning Techniques for a Comparative Study of Crop Disease Detection

Author

Soumya Prasad, S., Sampath Kumar, L., Mallem, Sai Nirupam, Gutta, Hemanth, Ahmed, Rafeeq, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Goar, Vishal, editor, Kuri, Manoj, editor, Kumar, Rajesh, editor, and Senjyu, Tomonobu, editor

Published
2025
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4. Tribological properties of CNT-filled epoxy-carbon fabric composites: Optimization and modelling by machine learning

Author

M.D. Kiran, Lokesh Yadhav B R, Atul Babbar, Raman Kumar, Sharath Chandra H S, Rashmi P. Shetty, Sudeepa K B, Sampath Kumar L, Rupinder Kaur, Meshel Q. Alkahtani, and Saiful Islam

Subjects
Epoxy, Carbon fabric, Carbon nanotubes, Wear, Machine learning, Mining engineering. Metallurgy, TN1-997
Abstract

Polymer matrix composites reinforced with fibers/fillers are extensively used in several tribological components of automotive and boating applications. The mechanical performance of polymer composites improves by incorporating nanofillers as secondary reinforcement. The present research work fabricated carbon fabric-reinforced epoxy composites using the hand layup. The carbon fabric-reinforced polymer composites were fabricated with 0.1 wt%, 0.2 wt%, and 0.5 wt% of carbon nanotubes (CNT) fillers as secondary reinforcement. Tribological properties of carbon fabric-reinforced epoxy composites filled with CNT have been carried out using a pin‐on‐disc method. Adding fillers significantly improves the tribological behaviour of the carbon fabric-reinforced epoxy composites by reducing wear rate and coefficient of friction. The large surface area of interaction due to the higher aspect ratio of CNT shows improved adhesion between epoxy matrix and carbon fabrics. It improves the various mechanical and tribological characteristics of composites—also, an analysis of worn surfaces is carried out to analyze the wear mechanisms using scanning electronic microscopy. The research employs a combination of experimental analyses and machine learning (ML) techniques to explore the wear resistance, hardness, and predictive modeling of volume loss in the composites. The hyperparameter fine-tuning of ML algorithms, including Random Forest (RF), k-Nearest Neighbors (KNN), and XGBoost, demonstrates superior predictive capabilities, particularly with RF. The study bridges material science, ML, and practical applications, contributing valuable insights for developing advanced composite materials.

Published
2024
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7. Cell viability studies using human gingival fibroblast, human oral fibroblast cells and mechanical characterization of Calcite/Zincite nanoparticles

Author

Sampath Kumar L, Shantha V, and Janardhana K

Subjects
General Medicine, MTT Assay, Human gingival fibroblasts, Human oral fibroblasts, Density, Hardness
Abstract

Antibiotics are rapidly being replaced with nanoparticles (NPs) in order to eradicate bacteria and other organisms. Nanotechnology, in particular, could be useful in the fight against bacterial pandemics. Although the precise processes are still unknown, it is now understood that metal ion release, the induction of oxidative stress, and non-oxidative mechanisms all contribute to NPs' antibacterial effects. Because many gene alterations in the same bacterial cell are needed for the numerous concurrent modes of action against microorganisms, it is challenging for bacteria to develop NP resistance. As a result, this study also focuses on analyzing the antibacterial activity of the created nanoparticles. The use of PMMA in dentistry demonstrates the necessity for fillers to be added to PMMA to improve its performance. Nano fillers such as ZnO and CaCO3have unique uses in the field of dentistry due to their advanced features, which include antibacterial activity. However, no study has been conducted to yet on the synthesis of the nanomaterial composed of calcium carbonate and zinc oxide. As a result, an attempt is made in this study, which combines calcium carbonate (calcite) and zinc oxide (zincate), synthesized using precipitation method. Various amounts of human gingival fibroblasts (HGF) and human oral fibroblasts (HOF) were applied to test samples and found as non-toxic. The density increase for composites made by using precipitation method, NPs is about 45% of the PMMA. Shore hardness tests reveal an increasing trend in the hardness of the composites up to 4.5%.

Published
2022
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13. Evaluating Impurities in Drugs Part III of III.

Author

Wadekar, Kashyap R., Ravi, Ponnaiah, Bhalme, Mitali, Srinivasa Rao, S., Vigneshwar Reddy, K., Sampath Kumar, L., and Balasubrahmanyam, E.

Subjects
SOLUTIONS (Pharmacy) -- Contamination, EXCIPIENTS, DRUG analysis, PHARMACEUTICAL technology, SEPARATION (Technology), EQUIPMENT & supplies
Abstract

The article discusses the various degradation pathways of active pharmaceutical ingredients (APIs), its impurities, and the various analytical techniques in measuring impurity levels. It states that impurities are unwanted chemicals in APIs or develop during drug formulation. It also mentions the different degradation-related impurities including those related with synthesis, formulation, and environment. It cites several analytical methods including separation, spectroscopic, and hyphenated.

Published
2012

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