arXiv subjects

Shubham Chakraborty

Publications and source records attributed to Shubham Chakraborty.

5 recordsLinked to original sources

arXiv2026

Evaporation of a freely floating droplet in an airstream: effects of temperature, humidity, and shape oscillations

We present a comprehensive experimental and theoretical investigation of the evaporation dynamics of freely levitated water droplets in an upward airstream under varying temperature and relative humidity conditions, using a custom-designed wind tunnel that replicates natural rainfall scenarios. A high-speed imaging system captures the temporal evolution of morphology, shape oscillations, and size reduction of the droplet undergoing evaporation. Our observations reveal that larger droplets exhibit persistent shape oscillations due to the interplay between inertia and surface tension in the presence of convective airflow, which significantly alters the evaporation rate compared to that of a stationary spherical droplet in quiescent air. To quantify the effects of air convection, complex morphology, and shape oscillations of the levitated droplet at different temperatures and humidity, we develop a modified evaporation model that extends the classical $d^2$-law. This model incorporates (i) a generalized Sherwood number that accounts for the variation in Reynolds number, Schmidt number, temperature, and relative humidity and (ii) a shape factor that captures the time-averaged surface area of oscillating droplets. The model is validated against experimental findings across a wide range of droplet sizes and environmental conditions, showing excellent agreement in predicting the temporal evolution of droplet diameter and total evaporation time. Furthermore, we construct a regime map showing the variation in the lifetime of the droplet in the temperature-humidity space. The present study establishes a framework that integrates convective transport and morphological deformation, offering new insights into the microphysics of raindrop evaporation.

physics.flu-dyn↗

arXiv2026

Cognitively Diverse Multiple-Choice Question Generation: A Hybrid Multi-Agent Framework with Large Language Models

Recent advances in large language models (LLMs) have made automated multiple-choice question (MCQ) generation increasingly feasible; however, reliably producing items that satisfy controlled cognitive demands remains a challenge. To address this gap, we introduce ReQUESTA, a hybrid, multi-agent framework for generating cognitively diverse MCQs that systematically target text-based, inferential, and main idea comprehension. ReQUESTA decomposes MCQ authoring into specialized subtasks and coordinates LLM-powered agents with rule-based components to support planning, controlled generation, iterative evaluation, and post-processing. We evaluated the framework in a large-scale reading comprehension study using academic expository texts, comparing ReQUESTA-generated MCQs with those produced by a single-pass GPT-5 zero-shot baseline. Psychometric analyses of learner responses assessed item difficulty and discrimination, while expert raters evaluated question quality across multiple dimensions, including topic relevance and distractor quality. Results showed that ReQUESTA-generated items were consistently more challenging, more discriminative, and more strongly aligned with overall reading comprehension performance. Expert evaluations further indicated stronger alignment with central concepts and superior distractor linguistic consistency and semantic plausibility, particularly for inferential questions. These findings demonstrate that hybrid, agentic orchestration can systematically improve the reliability and controllability of LLM-based generation, highlighting workflow design as a key lever for structured artifact generation beyond single-pass prompting.

cs.CL↗

arXiv2025

Drop size distribution from laboratory experiments based on single-drop fragmentation and comparison with aerial in-situ measurements

Laboratory experiments and theoretical modelling are conducted to determine the raindrop size distribution (DSD) resulting from distinct fragmentation processes under various upward airstreams. Since weather radar echoes are proportional to the sixth power of the average droplet diameter, understanding the fragmentation mechanisms that lead to different breakup sizes is crucial for accurate rainfall predictions. We utilize a two-parameter gamma distribution for theoretical modelling and estimate the average droplet diameter from the theoretically obtained characteristic sizes, often treated as assumed input parameters for different rain conditions in rainfall modelling. Our experimental and theoretical findings demonstrate a close agreement with the DSD predicted by the Marshall and Palmer relationship for steady rain conditions. Additionally, in situ DSD measurements at different altitudes were obtained through research flights equipped with advanced sensors, further validating our rainfall model. This study underscores the effectiveness of laboratory-scale experiments and the critical importance of accurately characterizing DSD to enhance rainfall predictions.

physics.flu-dyn↗

arXiv2025

Droplet breakup morphologies and the resultant size distribution in an opposed-flow airstream at different Weber numbers

The present study investigates the morphology and breakup dynamics of a freely falling drop in a vertical airstream using shadowgraphy and in-line holography. The in-line holography provides the temporal evolution of the volumetric size distribution of child droplets formed during various fragmentation processes at different Weber numbers (We). The droplet undergoes different fragmentation processes at significantly lower Weber numbers in opposed-flow configurations compared to cross-flow configurations. Our findings reveal distinct fragmentation modes, namely bag, bag-stamen, and dual-bag breakup, observed at We=9.38, 16.9, and 18.9, respectively. At We = 9.38, the combined effects of bag rupture, rim breakup, and node fragmentation generate child droplets of varying sizes, driven by the interplay of the Rayleigh-Plateau and Rayleigh-Taylor instabilities. At We = 16.9, the interaction of aerodynamic and shear forces leads to bag-stamen fragmentation, characterized by forming a stamen-like structure along with the bag. Both bag and bag-stamen breakups result in tri-modal size distributions. However, at We = 16.9, fewer tiny droplets are produced compared to the bag breakup observed at lower Weber numbers. In contrast, at We = 18.9, a dual-bag breakup occurs, where both bags inflate and burst simultaneously. This process generates tiny child droplets in the early stages, while larger child droplets form later due to the fragmentation of the rim and nodes, resulting in a bi-modal size distribution. We have performed a theoretical analysis using a two-parameter gamma distribution, which satisfactorily predicts the size distributions observed experimentally at different Weber numbers.

physics.flu-dyn↗

arXiv2010

Use of Python and Phoenix-M Interface in Robotics

In this paper I will show how to use Python programming with a computer interface such as Phoenix-M 1 to drive simple robots. In my quest towards Artificial Intelligence(AI) I am experimenting with a lot of different possibilities in Robotics. This one will try to mimic the working of a simple insect's nervous system using hard wiring and some minimal software usage. This is the precursor to my advanced robotics and AI integration where I plan to use a new paradigm of AI based on Machine Learning and Self Consciousness via Knowledge Feedback and Update Process.

cs.RO↗