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879 articles for “Design Optimization”
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Mechanical Performance Evaluation of Brachyuran Shell Particle-Infused S-Glass Fibre Epoxy Polymer Composites
Abstract: Epoxy composites bio-filled with brachyuran crab shell powder and reinforced with S-glass fibres at different loadings (2%, 4%, and 6%) are tested for their mechanical properties in this work. Using modest amounts of filler significantly improved hardness, ultimate tensile strength, and flexural strength in the empirical data. The largest increase in hardness was 64.42% at 4% filler, up from 26.22% at 2%; however, there was a dramatic decrease to 13.11% …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 500–507 Read article
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IoT-Based Real-Time Monitoring System for Temperature and Humidity Control in Pharmaceutical Manufacturing
Abstract: Environmental conditions, especially temperature and humidity, play a vital role in pharmaceutical manufacturing processes. Even minor fluctuations in these parameters can significantly influence the stability, potency, and overall effectiveness of drug formulations. In many cases, uncontrolled environmental variations may lead to chemical degradation, reduced shelf life, contamination risks, and substantial financial losses for manufacturers. Therefore, maintaining precise and consistent environmental conditions is essential to ensure product quality, regulatory compliance, and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 32–37 Read article
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Thermal Management of Different Composites Materials Using a Convergent and Straight Vortex Tube
Abstract: The present study focuses on an in-depth and meticulous exploration into the intricate realm of thermal management in three distinct yet widely utilized composite materials—namely, Liquid Crystal Polymer (LCP) Composites, Glass Fiber Reinforced Polymers (GFRPs), and Aramid Fiber Composites (Kevlar). This investigation employs an innovative counter-flow vortex tube system, meticulously analyzing and comparing the thermal efficiency of these materials under different intake configurations. Specifically, two distinct geometrical intake designs—a straight …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 252–266 Read article
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Machinability and Reliability Analysis of Al6063–Al2O3 Metal Matrix Composites Using Image-Based Flank Wear Evaluation
Abstract: This study explores the machinability and reliability characteristics of Al6063–Al2O3 metal matrix composites (MMCs) as analogues for polymer–metal hybrid composite systems, focusing on their potential use in lightweight structural and metal matrix composite-integrated applications. The composite specimens were fabricated through stir casting with 3% and 9% Al2O3 reinforcements, followed by mechanical characterization that confirmed significant enhancements in hardness and strength compared to unreinforced Al6063. Machining experiments were performed using a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 264–290 Read article
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Process Parameter Optimization of Magnesium Alloy Material Welded by Friction Stir Welding Using UTM and Taghuchi Approach
Abstract: Welding is a fabrication process where materials are fused together which may similar or dissimilar according to requirement. Welding is a systematic approach where dissimilar and similar materials are welded with an application of heat. Friction stir welding (FSW) is a welding method where metals are converting to a molten phase and with a desirable application of pressure leads to metal joining. FSW is a metal joining process used in …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 381–392 Read article
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Numerical Investigation of Heat Transfer Enhancement in Micro-Channel Cooling Using Finite Element Analysis
Abstract: Due to the enormous heat fluxes emitted by modern electronic chips, there is a persistent need to enhance the efficiency of cooling systems. This study's focus is on optimizing heat transfer in micro-channel heat sinks that use liquid cooling. Geometric changes and the use of nano-fluids as coolants in place of water are performed to achieve this goal with little energy consumption. Numerical analysis of pipe micro-channel fluid flow and …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 36–44 Read article
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Optimization Strategies for Finned-Tube Gas Coolers in CO2 Heat Pump Systems: A Review
Abstract: In order to reduce CO2 emissions through increased energy use flexibility, this article examines existing energy solutions. It focuses on demand-side management tools such as electric vehicles and heat pumps, as well as storage possibilities. The aim is to shift to sustainable energy sources by striking a balance between non-renewables (coal, gas) and renewables (solar, wind). This is demonstrated by the notable decrease in the usage of oil-fired boilers and …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 3, 2024 · pp. 11–20 Read article
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Comparative Assessment of Antibacterial Effectiveness, Bioactivity, Fluoride Release, and Microleakage of Various Bioactive Smart Composites: An In Vitro Investigation.
Abstract: The demand for dental composites with enhanced properties has led to the development of bioactive smart composites aimed at addressing multiple aspects of restorative dentistry. This in vitro investigation aimed to conduct a comparative assessment of the antibacterial effectiveness, bioactivity, fluoride release, and microleakage properties of various bioactive smart composites. Bioactive smart composites are emerging dental materials designed to promote remineralization and inhibit bacterial growth, thereby enhancing the longevity of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 76–86 Read article
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Advancements in Nanotechnology and Biosensor Integration for Detection and Treatment of Alice in Wonderland Syndrome
Abstract: Alice in Wonderland Syndrome (AIWS) is an uncommon neurological condition characterized by profound distortions in perception. Individuals with AIWS experience altered body image and spatial awareness, often perceiving objects, surroundings, or even their own body as being unusually large, small, or distorted. The condition presents a unique challenge for both diagnosis and management due to its elusive and varied symptoms. This paper explores how advancements in nanotechnology and biosensor integration …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 1–12 Read article
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Voltage Vigilance: Ensuring Balance and curbing Theft in Power Distribution Networks
Abstract: This project proposes a system for detecting electrical overload and earth faults using an Arduino Uno controller. The system uses a current sensor to identify overloads and a voltage sensor to detect earth faults. An ESP8266 module allows users to switch between the two fault detection modes. When an overload is detected, the Arduino turns off AC bulbs using a relay and sends an alert message via a GSM module. …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 15–21 Read article
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Performance Evaluation of Semi-Dense Bituminous Macadam with Crumb Rubber Modified Bitumen
Abstract: This research focuses on evaluating the performance behavior of Semi-Dense Bituminous Macadam (SDBM) mixes incorporating 9% Crumb Rubber Modified Bitumen (CRMB), with varying proportions of bitumen binder. The aim is to understand how different binder contents influence critical pavement properties such as Marshall stability, flow value, bulk density, air voids, Voids in Mineral Aggregate (VMA), and Voids Filled with Bitumen (VFB). The experimental investigation reveals that increasing the bitumen content …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 2, 2025 · pp. 15–20 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Balloon Deployment Strategies for Projectile Deterrence
Abstract: This paper presents a defense strategy inspired by historical precedents, aimed at neutralizing subsonic projectiles using a swarm of balloons filled with explosive and buoyant gases, such as hydrogen. The balloons are arranged in a swarm to effectively intercept multiple incoming projectiles. Numerous military and security uses are possible for them. Operating costs for lighter-than-air aircraft are lower than those of traditional fixed-wing aircraft. Lighter-than-air vehicles can be made less …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 25–29 Read article
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SmartTrack : Advanced Attendence System using LR RFID
Abstract: This project presents the design and implementation of a long-range RFID attendance system aimed at transforming how educational institutions track attendance by making the process faster, more accurate, and completely contactless. Tradi- tional methods, whether manual roll calls or short-range RFID scanners, often interrupt class routines and leave room for errors or proxy attendance. To address these issues, the proposed system integrates long-range RFID readers, beam sensors, and ESP32 microcontrollers …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 Read article
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Random Forrest Based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
Abstract: Advanced metering infrastructure (AMI) plays a central role in the operation of modern smart grid (SG) systems by enabling continuous, two-way communication between utility providers and consumers. Through this communication, AMI supports real-time monitoring, dynamic pricing, and efficient energy management. However, the same connectivity that makes AMI effective also increases its exposure to cyber threats. One of the most critical threats is the man-in-the-middle (MITM) attack, in which an attacker …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 1–8 Read article
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Crystalline and Polymeric Interactions in Multi- layered Bulletproof Glass: A Study of Ballistic Resistance and Structural Integrity
Abstract: Bulletproof glass is engineered to withstand high-impact projectiles, offering a critical line of defense in various industries such as banking, military, and armored vehicles. This study explores the structural composition, energy absorption mechanisms, and performance characteristics of bulletproof glass when exposed to ballistic threats. The glass consists of layered constructions, often involving polycarbonate and adhesive interfaces such as polyvinyl butyral, which enhance its energy absorption and resistance to projectiles. The …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 10–17 Read article
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Robotics and Automation in Mechanical Engineering: Transforming Modern Manufacturing Systems
Abstract: Robotics and automation have significantly transformed mechanical engineering, particularly in manufacturing, precision assembly, and intelligent systems integration. With the advancement of sensors, control systems, artificial intelligence, and mechatronics, robotic systems are now capable of performing complex tasks with high accuracy, repeatability, and efficiency. This article explores the role of robotics in modern mechanical applications, including industrial automation, collaborative robots, predictive maintenance, and smart manufacturing. It also discusses design considerations, challenges, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 27–33 Read article
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Advancements in Dual-Axis Sun Tracking Solar Panels: Integration and Impact of Weather Sensors
Abstract: In this document, the project suggests this article offers a thorough analysis of the technology, design, and control schemes of a rigid sensor-based dual-axis solar energy tracking system. The results of this inquiry will be valuable to solar energy technology scientists, engineers, and policy makers since they provide information about the most sophisticated dual-axis solar tracking system using hard sensors. Its potential to enhance solar tracking performance is also explored, …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 11–17 Read article
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Vertical Villages: Redefining Urban Living for a Sustainable Future
Abstract: As urbanization accelerates, cities face growing challenges in balancing population growth with sustainable resource use. Traditional horizontal sprawl is increasingly unsustainable, causing habitat loss, inefficient land use, and higher carbon emissions from long commutes and overstressed infrastructure. Addressing these issues, vertical villages offer an innovative, sustainable alternative for dense urban environments. Vertical villages are multi-story, integrated communities that combine residential, commercial, and communal spaces within compact areas. By optimizing land …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 7–17 Read article
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article