Category Archives: Uncategorized

Experimental And Numerical Studies Of Residual Stress Development On AlSi10Mg Alloy Processed Through Powder Bed Fusion

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Authors: Pankaj Kumar Rai, P. N. Ahirwar

Abstract: Development of residual stresses during additive manufacturing (AM) imposes challenges on functionality and performance of the component. Being able to predict, measure and reduce residual stress by proper post processing will prevent pre-mature failure of the components. In this study finite element package of ANSYS software is employed to predict residual stress, distortion, melt pool dimensions and thermal history for the powder bed fusion (PBF) process of AM. Experimental validation of the residual stress predicted by the numerical modeling were carried out on additively manufactured coupon through X-ray diffraction. A small compressive residual stress on the top surface of the coupon is determined by both the experimental and numerical approach contradicting the reported work of tensile residual stress on the top surface.

DOI: http://doi.org/10.5281/zenodo.20592906

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Development and Evaluation of Polyherbal Candy for Immune Support in Dengue

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Authors: Ms. Snehal Kadbhane, Ms. Bhagyashri Shankar Thorbole, Ms.Nikita Sanjay Pachange, Dr. Vijaykumar Kale, Dr. Mahesh Thakare

Abstract: In this study, making of polyherbal candy for treatment of Dengue is the primary goal, using natural ingredient to treat the dengue fever and boost the immunity against Dengue. Dengue fever is a flu-like illness transmitted by female mosquitos of the Aedes aegypti species. Another name for it in Ayurveda is dandaka jwara. It is particularly prevalent in tropical and subtropical climate zones worldwide. Common symptoms of dengue include vomiting, a strong headache, nausea, rashes, joint discomfort, pain behind the eyes, muscular pain, and enlarged glands. Platelets play a crucial role in blood coagulation. During the course of their infection, DENV [Dengue Virus] patients frequently experience thrombocytopenia, making them susceptible to bleeding symptoms and other serious consequences. It also causes bone marrow depression and reduces platelet production. The active constituent carica papaya which increasing the number of platelet count and it shows the Anti-inflammatory and Anti-viral activity. Giloy sativa increases platelet count and speeds up the recovery process and also during dengue fever helps to strengthen the immune system. Other ingredients in formulation such as Sugar, Gum acacia, Lemon juice, Beetroot (powder) helps in reducing dengue symptoms, such as fever and pain, and improving patient outcomes. The development of herbal candies for dengue therapy is a novel and promising approach to disease management, with potential advantages for both patients and healthcare systems.

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IoT-Based Dog Daycare Robot For Automated Pet Feeding System

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Authors: Prof. Krishna Rathi, Wanjare Vishakha, Shinde Arati, Jadhav Sneha

Abstract: This paper explains the design and development of an IoT-based dog daycare robot that can automatically provide food and water to pets. The proposed system uses a Raspberry Pi Zero as the main controller, which connects to the internet and allows users to control the system remotely using a mobile application or web interface. A servo motor is used to dispense a fixed quantity of food, ensuring proper portion control. A relay-controlled submersible pump is used to supply water when required. In automatic mode, feeding can be scheduled at fixed times. It shows how IoT technology can be used to solve real-life problems and improve pet care.

DOI: http://doi.org/10.5281/zenodo.20589670

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VIBE SHIELD – Agentic Evolving Guard Intelligence System (AEGIS) For Wireless Networks

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Authors: R Gayathri, Rohith V, M Mugilvannan

Abstract: Sophisticated assailants outperform human defenders in today's cyber networks. This project introduces AEGIS, an end-to-end autonomous cyber operations system that integrates Large Language Models (LLMs) with Multi-Agent Deep Reinforcement Learning (MADRL) within the CybORG++ environment to overcome human latency and inflexible rule-based systems. AEGIS competes in a zero-sum game between an autonomous Blue Agent defense (Microsoft Phi-3.5-mini) and a Red Agent attacker (Qwen2.5-Coder-3B) using an Independent Learners technique under Decentralized Training and Decentralized Execution (DTDE). The system has a fully integrated 7-level progressive training pipeline with threshold-separated ChromaDB episodic memories, prioritized replay buffers, and LLM-specific action masking to remove hallucinations. The system uses a distributed MARL architecture that performs LoRA fine-tuning over two physical nodes via direct Ethernet, guaranteeing total parameter isolation, in order to maximize performance under stringent hardware restrictions. In the end, this architecture effectively illustrates how LLM agents with curriculum learning and episodic memory can independently learn intricate, multi-subnet cyber security tactics in sophisticated simulated environments.

DOI: http://doi.org/10.5281/zenodo.20582330

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Multi-Physics Numerical Analysis And Performance Optimization Of PEM Fuel Cell For Automotive Applications

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Authors: Agrim Verma, Rashi Singh

Abstract: The transition to hydrogen-based mobility re- quires Polymer Electrolyte Membrane (PEM) Fuel cells that are not only efficient but also durable under dy- namic load conditions. Traditional lumped parameter models often fail to capture the micro-climates inside theflow channels—areas where water flooding or membrane dehydration occurs locally. This term paper employs Ad- vanced Numerical Analysis to bridge this gap, focusingon the spatial distribution of Electrochemical parameters. By resolving the heat source terms into discrete physical contributions, the model enables targeted en- gineering interventions that are not accessible through bulk parameter approaches.

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Global Climate Impact Analysis

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Authors: K.S.Ananya, J.Varshika Narayan, Dr G Naresh

Abstract: Climate change has become one of the most significant global challenges of the 21st century, causing severe environmental and economic consequences worldwide. Extreme climate events such as floods, hurricanes, wildfires, droughts, and heatwaves have increased in both frequency and intensity, resulting in substantial financial losses across various sectors, including agriculture, infrastructure, industry, and public services. This study presents a comprehensive analysis of global climate events and their economic impacts using data visualization techniques. The dataset used in this research covers climate-related events occurring between 2020 and 2025 and includes information on event types, affected regions, occurrence dates, and estimated economic losses. The primary objective of this work is to transform complex climate data into meaningful visual representations that facilitate better understanding and interpretation. Tableau was employed as the main visualization tool to create interactive dashboards, bar charts, line graphs, heat maps, highlight tables, and geographic maps. Data preprocessing techniques, including cleaning, filtering, sorting, grouping, and aggregation, were applied to ensure accurate analysis. Time-series visualizations were used to identify trends in climate events and economic damages over the study period, while geographic visualizations highlighted regional variations in climate-related losses. The results reveal significant differences in the economic impacts of various climate events across regions and years, enabling the identification of highly vulnerable areas and the most damaging event categories. The interactive dashboards further support comparative analysis and enhance decision-making capabilities. This study demonstrates the effectiveness of data visualization in communicating complex climate information and provides valuable insights for policymakers, researchers, and stakeholders. The findings emphasize the growing economic burden of climate change and the importance of adopting sustainable strategies, risk mitigation measures, and improved disaster preparedness to reduce future impacts.

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Formulation And Evaluation of Herbal Papaya Soap

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Authors: Vaibhav Narwade, Divya Ovhal, Sakshi Aher, Vijaykumar Kale, Mahesh Thakare

Abstract: Herbal soaps are becoming increasingly popular due to their natural origin, therapeutic value, and fewer side effects compared to synthetic soaps. The present study focuses on the formulation and evaluation of herbal papaya soap with antioxidant activity using natural ingredients such as papaya extract, turmeric, honey, sandalwood oil, vitamin E, and rose water. Papaya (Carica papaya) is rich in bioactive compounds including vitamins A, C, E, flavonoids, phenolic compounds, and papain enzyme, which provide antioxidant, exfoliating, antimicrobial, and skin-nourishing properties. The herbal soap was prepared using a suitable soap base through the melt-and-pour/cold process method and evaluated for various physicochemical parameters. The formulated soap was assessed for appearance, color, odor, texture, pH, foamability, foam retention, irritation effect, and stability. Antioxidant activity was evaluated using standard methods such as the DPPH free radical scavenging assay. The results showed that the prepared herbal soap possessed good antioxidant activity due to the presence of natural phytoconstituents in papaya and other herbal ingredients. The soap exhibited acceptable pH, good foaming ability, pleasant fragrance, smooth texture, and no skin irritation during testing. The incorporation of natural antioxidants helped protect the skin from oxidative stress and supported skin rejuvenation. The study concludes that herbal papaya soap can be successfully formulated using natural ingredients with effective antioxidant and skin-friendly properties. The developed formulation may serve as a safe, economical, eco-friendly, and beneficial alternative to commercial synthetic soaps. Thus, herbal papaya soap has potential applications in cosmetic and skincare preparations for maintaining healthy and glowing skin.

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Inorganic Nanoparticles Via Green Synthesis

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Authors: Dr. Rahul Arya, Aashish Kumar, Dr. Rishabh Bhardwaj

Abstract: Green synthesis of inorganic nanomaterials has emerged as an environmentally sustainable alternative to conventional chemical and physical synthesis methods. In the present study, zinc oxide (ZnO), copper oxide (CuO), and iron oxide (Fe₂O₃) nanoparticles were synthesized using aqueous plant extracts of Neem, Tulsi, Orange peel, and Tea leaves. These plant extracts served as natural reducing and stabilizing agents. Nanoparticle formation was confirmed through visible color change and UV–Visible spectrophotometric analysis. The characteristic absorption peaks confirmed successful nanoparticle synthesis. The influence of pH, conductivity, viscosity, and reaction time on nanoparticle formation was systematically studied using basic laboratory instrumentation including UV–Visible spectrophotometer, pH meter, conductivity meter, Redwood viscometer, hot plate, and flame photometer. Results demonstrated that near-neutral to slightly alkaline pH favored stable nanoparticle formation. Conductivity decreased during the reaction, confirming metal ion reduction. Viscosity measurements suggested interaction between biomolecules and nanoparticles, enhancing colloidal stability. The study establishes that meaningful nanoparticle synthesis and characterization can be achieved.

DOI: http://doi.org/10.5281/zenodo.20574267

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Comprehensive Analysis of Food Contaminants: Occurrence, Detection and Health Implications of Pesticides, Antibiotic Residues, Heavy Metals and Toxins

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Authors: Meenal Maan, Mayank Chauhan, Dr. Rishabh Bhardwaj

Abstract: Food contamination has emerged as a major global concern due to increasing industrialization, intensive agricultural practices, environmental pollution and improper food handling procedures. Contaminants such as pesticide residues, antibiotic residues, heavy metals and naturally occurring toxins frequently enter the food chain and may pose significant risks to human health. Chronic exposure to these contaminants has been associated with cancer, neurological disorders, endocrine disruption, organ toxicity and antimicrobial resistance. The present study evaluates major food contaminants commonly detected in fruits, vegetables, dairy products, meat, fish, cereals and processed foods. Food samples collected from agriculturally intensive regions of western Uttar Pradesh were analyzed using advanced analytical techniques including Gas Chromatography–Mass Spectrometry (GC–MS), High Performance Liquid Chromatography (HPLC), Enzyme-Linked Immunosorbent Assay (ELISA) and Atomic Absorption Spectroscopy (AAS). The occurrence, sources, detection methodologies and public health implications of contaminants were investigated. Results revealed detectable levels of pesticide residues, antibiotic residues, heavy metals and mycotoxins in several food samples, with certain samples approaching or exceeding recommended safety limits. The findings highlight the importance of routine monitoring, regulatory compliance and sustainable agricultural practices for ensuring food safety and consumer protection.

DOI: http://doi.org/10.5281/zenodo.20574084

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Role Of Green Chemistry In Controlling Environmental Toxicity

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Authors: Dr. Rahul Arya, Aditya Kumar, Dr. Rishabh Bhardwaj

Abstract: Environmental toxicity has emerged as a major global concern due to rapid industrialization, extensive use of hazardous chemicals, and unsustainable manufacturing practices. Conventional chemical processes often depend on toxic raw materials, energy-intensive methods, and non-renewable resources, leading to hazardous waste generation and environmental pollution. Green chemistry has emerged as a sustainable approach that focuses on preventing pollution at its source rather than managing it after generation. This research examines the role of green chemistry in controlling environmental toxicity by analyzing its principles, applications, and effectiveness across various industrial sectors. The study is based on qualitative review, secondary data analysis, and case studies comparing conventional chemical practices with green chemistry alternatives. The findings indicate that green chemistry significantly reduces hazardous waste generation, toxic emissions, and energy consumption while improving resource efficiency and process safety. Applications in pharmaceuticals, agriculture, polymers, and advanced materials demonstrate that green chemistry can support environmental protection without compromising industrial productivity or economic viability.

DOI: http://doi.org/10.5281/zenodo.20572364

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