Browsing by Author "Thakur, D."

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Biobased plastics and their nanocomposites: emerging trends in active and intelligent food packaging applications
(Springer, 2025) Sahota, S.; Soman, V.; Thakur, D.; Poddar, M.K.
Bio-based polymers have gained huge attention in the recent past for their application in various domains, especially food packaging. The petroleum-based polymers have a significant negative impact on the ecosystem owing to their non-biodegradability. Therefore, a sustainable yet efficient alternative is required which is both safe and non-toxic. Food packaging technologies with the latest innovations are promoting active and smart packaging applications which promise quick, safe and efficient ways to monitor the quality of stored foods. These materials are being explored in applications such as antimicrobial wraps, moisture barrier coatings, biodegradable trays, and oxygen-scavenging films. Nanotechnology has emerged as a superior alternative as it can enhance food protection while reducing the raw material requirement and waste generation. The present review focuses on the recent developments in active and smart food packaging with special emphasis on bio-based polymer nanocomposites. The various polymer nanocomposites, their properties and safety concerns with respect to food packaging are summarized in this review article besides providing prospects for the current research area. © Association of Food Scientists & Technologists (India) 2025.
Biobased Polymers, Their Composites and Blends in Electronics
(wiley, 2024) Thakur, D.; Poddar, M.K.
[No abstract available]
Meta-heuristic algorithm based optimization studies in cryogenic and conventional milling of magnesium alloy AZ91
(Elsevier B.V., 2025) Marakini, V.; P, S.P.; D'Mello, G.; Bhat K, U.; Thakur, D.; Achar, B.P.
The surface finish of a machined product is essential for assessing its quality and other attributes. Modeling the surface roughness and hardness of a machined component is challenging for several reasons. The present study examines the effectiveness of four meta-heuristic algorithms in optimizing surface characteristics like roughness (Ra) and hardness (HV) in the machining of magnesium alloy AZ91. Experiments with uncoated carbide inserts have been conducted under dry and cryogenic conditions. The study's input parameters are the depth of cut, feed rate, and cutting speed. Modeling and prediction studies have been conducted using Multi Layered Perceptron (MLP) Neural Network, and the output of this model has been considered as the objective function for the optimization algorithms. Algorithms, namely Particle Swarm Optimization (PSO), Bat Algorithm (BA), and recently developed algorithms, namely Jaya Algorithm (JAYA) and Fruit Fly Optimization Algorithm (FOA), have been tested. The optimization accuracy of FOA has been found to be superior to that of the other algorithms. As per the knowledge of the authors, this work probably presents a first attempt in applying the JAYA and FOA metaheuristic algorithms in the machining studies of an AZ series magnesium alloy. © 2025 The Authors
Surface integrity investigation and VIKOR optimisation during the milling of aluminium–lithium alloy using uncoated and PVD-coated carbide tools
(Taylor and Francis Ltd., 2024) Marakini, V.; Pai, S.P.; Bhat K, U.K.; Thakur, D.; Achar, B.
In this study, the effect of face milling on the surface integrity of an aluminium–lithium alloy is investigated through an L27 Taguchi design of experiments. Uncoated and PVD-coated carbide inserts are used to investigate the material surface characteristics such as roughness, microhardness, microstructure and residual stresses. Both inserts showed their ability in achieving a better surface finish (Ra ∼ 0.04 µm) than the raw material (Ra ∼ 0.52 µm). Hardness improvement of up to 216.7 HV (uncoated) and 229.3 HV (PVD-coated) from the raw material (180.7 HV) surface is observed. Both inserts showed their ability to generate compressive residual stresses with uncoated inserts producing stresses on the surface. Microstructural changes from milling using both inserts are observed to be minimal. ANOVA showed the effect of process parameters on the surface roughness and microhardness. Furthermore, VIKOR statistical analysis technique is used to identify the optimal conditions for good roughness and microhardness of the alloy. © 2023 Canadian Institute of Mining, Metallurgy and Petroleum.