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626 articles for “experimental results”
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A Review on Parametric Optimization of WEDM Technique for OHNS Steel
Abstract: In this study, the Wire Electrical Discharge Machining (WEDM) process for OHNS (Oil Hardened Non-Shrinking) steel, a high-performance material frequently used in the production of dies, punches, and precision tooling components, is optimized parametrically and validated experimentally. A continuously moving wire electrode and a sequence of electrical discharges are used in WEDM, a non-traditional machining method, to erode material and produce intricate and precise profiles, particularly in materials that are …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 29–35 Read article
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Effect of 3D Printing Process Parameters on the Tensile Strength of Polylactic Acid (PLA)
Abstract: This study employs the Taguchi approach to systematically analyze and optimize critical Fused Deposition Modeling (FDM) parameters, focusing on their effect on the tensile strength of 3D-printed Polylactic Acid (PLA) components. The study explores three levels of layer thickness (0.15 mm, 0.25 mm, and 0.3 mm), infill densities (25%, 50%, and 75%), and nozzle temperatures (200°C, 205°C, and 210°C) across three infill patterns: Triangular, Gyroid, and Zig-zag. A total of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 128–140 Read article
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Thermal Conductivity and Energy Storage Performance of Paraffin Wax-Based Composites Reinforced with Amine Functionalized Graphene as a Nanofiller
Abstract: In this study, amine-functionalized graphene (AFG) was employed as a nanofiller/nanomaterial to enhance the thermal and structural properties of a paraffin wax (PW)-based polymeric composite, formulated as a phase change material (PCM). The PW/AFG composite was synthesized with varying nanofiller volume fractions (0.20%, 0.40%, 0.80%, and 1.60%), and its thermal conductivity, stability, and energy storage performance were systematically analyzed. The incorporation of AFG into the polymer matrix significantly improved the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 355–374 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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Influence of Hybrid Fiber Reinforcement on the Interfacial Bonding and Fracture Toughness of Epoxy-Based Polymer Composites Under Cyclic Loading
Abstract: This study investigates the influence of hybrid fiber reinforcement on the interfacial bonding and fracture toughness of epoxy-based polymer composites under cyclic loading. Carbon, glass, and aramid fibers, both individually and in hybrid combinations, were incorporated into the epoxy matrix to evaluate their thermal, mechanical, and fatigue-resistant properties. Thermal characterization revealed distinct material behaviors, with carbon fibers exhibiting superior thermal conductivity, while glass and aramid fibers provided enhanced thermal stability. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 799–824 Read article
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Pattern Reconfigurable Yagi-Uda Antenna
Abstract: This study proposes a prototype of a reconfigurable Yagi-Uda Antenna that is capable of reconfiguration of the radiation pattern. The proposed flexible antenna will work as the director, and reflector can be switched in a Yagi-Uda set up antenna by using a radio frequency PIN diode. The radiating signals can be directed at desired signals away from undesirable signals that are impinging on the antenna in opposite directions. The antenna …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 14–20 Read article
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Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection
Abstract: The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting. It uses safe level SMOTE to deal with class imbalance and attention-based feature fusion to adaptively weigh features based on their importance. It uses two publicly available datasets (RSNA and Kermany) with ground truth provided by expert radiologists. The proposed work used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 20–31 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Real-Time Air Quality Prediction Using IoT-Integrated Polymer Sensors and Recurrent Neural Networks
Abstract: Real-time air quality monitoring remains a critical challenge in urban environments, where traditional sensor infrastructures often suffer from limited responsiveness, poor scalability, and high deployment costs. The increasing prevalence of NO₂ pollution, a key contributor to respiratory and cardiovascular ailments, demands advanced sensing platforms capable of both accurate detection and predictive inference. Existing methods either rely on rigid electronic sensors lacking adaptability or on statistical forecasting models that fail to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 332–347 Read article
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Smart Solar Garage with PSO-Based Optimization for Energy and Vehicle Performance
Abstract: The swift growth of electric mobility, coupled with a rising global focus on sustainable energy, has propelled the advancement of smart garages that incorporate renewable energy, the Internet of Things (IoT), and sophisticated optimization methods. These systems aim to reduce energy waste, boost operational efficiency, and aid in the development of smart, eco-friendly urban infrastructure. This paper outlines the design and execution of a Smart Solar Garage that utilizes Particle …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 6–18 Read article
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Experimental Analysis of Aramid Fiber Reinforced with Tungsten Carbide
Abstract: This study investigates the mechanical performance of aramid fiber-reinforced epoxy composites enhanced with varying weight percentages of tungsten carbide (WC) powder as a secondary reinforcement. The composites were fabricated using both the hand lay-up and vacuum bagging techniques to ensure uniform dispersion of materials and quality surface finish. Tungsten carbide particles with an average size of 4 microns were incorporated into the aramid fiber matrix at incremental concentrations of 0%, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 146–157 Read article
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An Empirical Study of Hyperparameter Impact on Deep Learning Models for Cardamom Leaf Disease Classification
Abstract: Recent advancements in deep learning models like convolutional neural networks and self- attention mechanisms have achieved great success in the field of plant disease classification. This study investigates the efficacy of two pre-trained models, ConvNeXT-Tiny and Swin Transformer-Tiny, for leaf disease classification in cardamom using a publicly available dataset constituting three categories of leaves, namely Healthy, Colletotrichum Blight and Phyllosticta Leaf Spot. The effectiveness of the models highly depends on …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 48–60 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Encoder-Decoder Based Fine-Tuned Model for Code Doubt Solver
Abstract: As we are growing in technology, more technologically skilled persons are needed in industry. They all often rely on programming in their daily work, and when some doubts arise, they seek help from teachers to LLMs like GPT to Deepseek. However, when errors arise, then comes hectic part to troubleshoot and resolve the error. Usually, people seek help from some LLMs like GPT, or Deepseek for the solution; they give …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 35–42 Read article
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Performance Evaluation of Modified Concrete Incorporating Fly Ash, Silica Fume, Rice Husk Ash, and Calcium Nitrate
Abstract: The growing demand for sustainable and high-performance concrete has led to the incorporation of supplementary cementitious materials (SCMs) and chemical admixtures to enhance mechanical and durability properties. This study investigates the effect of 15% fly ash, 10% silica fume, 10% rice husk ash, and 3% calcium nitrate as a partial replacement for cement in M25 and M30 grade concrete. Experimental results demonstrate that the modified concrete exhibited an increase in …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 35–39 Read article
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Performance Evaluation of High-Performance Fiber Reinforced Concrete Incorporating Fly Ash, Coir Husk Ash, and Hybrid Fibers
Abstract: High-Performance Fiber-Reinforced Concrete (HPFRC) is an advanced composite material designed to improve the mechanical properties and durability of conventional concrete. This study investigates the effects of fly ash (FA), coir pith ash (CPA), and various fiber reinforcements (polypropylene, coir, and kenaf) on the compressive strength of HPFRC. The research evaluates the influence of natural admixtures, single fiber additions, and hybrid fiber combinations to optimize mix proportions for enhanced structural performance. …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 10–15 Read article
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Xypher Bot: Autonomous Surveying Robot
Abstract: Xypher Bot is a fully autonomous robot built to carry out tasks like height measurement, estimating distance, and detecting objects. It uses affordable and easily available components such as the MPU6050 sensor, ultrasonic sensors, and a laser pointer. By using simple trigonometry, the bot can measure object height with good accuracy. The top part of the bot, which is responsible for height measurement, has already been built and tested. The …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 49–62 Read article
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Design and Development of Mini-Groundnut Oil Extraction Machine for Domestic Purpose
Abstract: A machine is designed to extract various types of oil from groundnuts. The primary purpose of this machine is to facilitate the extraction of oil using a mechanical extraction method, specifically employing a screw press mechanism to crush the seeds and extract the oil. The design prioritizes portability, ease of use, and high extraction efficiency. It comprises several components, including the frame, hopper, gear reduction unit, pulleys, bearings, and power …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 31–38 Read article
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Injection Pressure Optimization for Non-edible Biodiesel Blends in CRDI Engines: A Comparative Study
Abstract: The growing demand for clean and sustainable energy has increased interest in biodiesel produced from non-edible oil sources. These fuels are renewable, biodegradable, and do not compete with food resources. However, the effective use of biodiesel blends in modern diesel engines requires proper control of fuel injection parameters, particularly injection pressure. In common rail direct injection (CRDI) engines, injection pressure strongly influences spray formation, air–fuel mixing, combustion behaviour, and exhaust …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 24–34 Read article
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Evaluation of Compressive Strength of Concrete Using Fly Ash, Silica Fume, and Steel Slag as Cementitious and Aggregate Replacements
Abstract: This study comprehensively investigates the influence of supplementary cementitious materials and industrial by-products—specifically fly ash, silica fume, and steel slag—on the compressive strength of concrete. The primary objective is to evaluate the impact of both individual and combined replacements of cement and aggregate components on concrete performance. The research analyzes how varying proportions of these materials affect the strength characteristics of the concrete mixtures. Experimental results demonstrate that increasing the …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 1–6 Read article