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692 articles for “Experimental testing”
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Development and Evaluation of Physical and Mechanical Properties on Talc Filled Sisal/Polyester Composites
Abstract: In recent years, research focusing on the use of natural fiber-reinforced composites has been increased and has opened up further industrial possibilities due to advantages of low density, low cost, biodegradability, abundance and renewability proffered by natural fibers. In this research, randomly oriented sisal fiber and talc filler were used to reinforce polyester matrix to produce composites of 3 mm thickness. The composites were fabricated by hand laying technique. Composite …
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 2, 2018 · pp. 27–35 Read article
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Evaluation of Sustainable Waste Materials in Asphalt Paving Mixtures
Abstract: Generating recycled tires, disposable plastic bottles and waste engine oil are important problem in Iraq and there is need to solve it . The waste materials can be considered as an alternative materials in road pavement technology and the using of these materials would be a solution to converse the environment from pollution in one hand and modifying the asphalt paving materials on the other hand. The two waste materials …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 1, 2019 · pp. 12–19 Read article
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Neurophysiological Effects of Chanting the Gayatri Mantra on Students of Allied Health Sciences: A Study among 1200 Students at Paramedical College, Desh Bhagat University
Abstract: Background: The Gayatri Mantra, a sacred Vedic chant, is traditionally believed to offer numerous benefits, including mental clarity, stress reduction, and cognitive enhancement. Despite anecdotal evidence supporting these claims, scientific research on its neurophysiological effects, especially within educational settings, remains limited. This study investigates the impact of chanting the Gayatri Mantra on brain activity, stress levels, and cognitive performance among 1200 students in the Allied Health Sciences program at Paramedical …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Study of Wear Behaviour of GFRP Composites filled with Nanofiller using Taguchi Technique
Abstract: AbstractThe GFRP laminates are fabricated by hand lay-up process followed by vacuum bag curing and post cured in a heating oven. The laminates are fabricated with addition of 1%, 1.5% and 2.0% graphene filler and prepared laminates are cut into ASTM standards by using water jet cutting. The density and volume fraction of the void fabricated composite is determined. The three-body abrasive wear test is carried out on abrasion tester …
Published in Recent Trends in Fluid Mechanics · Vol. 5, Issue 3, 2018 · pp. 33–38 Read article
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Interfacial Engineering of Carbon Fiber/Epoxy Laminates Using Functionalized Graphene Nanoplatelets: Experimental and Numerical Study
Abstract: Current research work studies the influence of amines(–NH₂) and carboxyl(–COOH) functionalized graphene nanoplatelets on the mechanical and thermomechanical behavior of unidirectional hybrid composite. Composites having different graphene concentration from 0 to 0.7 wt% were fabricated, characterized and analyzed for multiple testing - tensile testing, dynamic mechanical analysis (DMA) and Fourier transform infrared spectroscopy (FTIR). Tensile testing indicates better elastic modulus and tensile strength due to efficient load transfer between nanoparticles …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 61–77 Read article
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Geosynthetic polymeric material Reinforced Model Shallow Foundation's Monotonic and Cyclic Uplift Response Affected by Ground Inclination
Abstract: The foundation system of any structure is vital for ensuring safety, serviceability, and performance, particularly when subjected to vertical and uplift forces. While conventional foundations are primarily designed to resist compressive loads, structures such as transmission towers, offshore platforms, buried pipelines, retaining systems, and marine facilities are frequently subjected to uplift forces generated by wind, waves, buoyancy, and cyclic loading. Under such conditions, the uplift resistance of soil and uplift …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Machinability Studies of Chrome Steel in Turning Operation: An Experimental Investigation
Abstract: Studies on Machinability aspects are important from the standpoint of optimizing the parameters setting during the machining operations. This paper adds value to the knowledge base of machinability aspects. A report on the experimental investigation conducted, to study the effects of machining parameters on Surface Finish and Material Removal Rate (MRR) during the turning operation is presented. The current experimentation was carried out using two grades of chrome steel namely …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 2, 2016 · pp. 10–18 Read article
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Polymer Chemistry-Driven Design of a Severable Dental Prophylaxis Instrument: Leveraging PEEK and Composites for Enhanced Functionality
Abstract: Polymer chemistry unlocks new possibilities for dental prophylaxis instruments by leveraging molecular design for enhanced functionality. This study explores Polyether Ether Ketone (PEEK), a semi-crystalline thermoplastic, in a novel instrument with a severable working end, featuring a tubular structure with internal screw threads (0.5–0.8 cm) anchoring replaceable elements via a threaded mechanism. PEEK’s aromatic backbone, alternating ether and ketone groups, yields a tensile strength of ~100 MPa, chemical inertness against …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 869–877 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Knowledge Enhancement Through Breast Cancer Education Among B.Sc. Nursing Students: A Pre-Experimental Study
Abstract: Background: Breast cancer continues to be a major global public health concern. Timely detection and proper management play a vital role in reducing morbidity and mortality. Nursing students must have sufficient knowledge to provide effective community education and deliver quality care. Aim: This study aims to evaluate the effect of a structured teaching program on improving the knowledge of nursing students. Method: The quantitative research approach with pre-experimental research design …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 23–27 Read article
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Design and Implementation of IoT-Based Smart Vehicle with Obstacle Avoidance and GPS Navigation Using ESP32
Abstract: The development of autonomous and intelligent transportation systems has gained significant attention in recent years. This paper presents the design and implementation of an IoT-based smart vehicle capable of autonomous navigation and obstacle avoidance using the ESP32 microcontroller. The system integrates an ultrasonic sensor for real-time obstacle detection, a GPS module for location tracking and navigation, and IoT connectivity using the Blynk platform for remote monitoring and control. The vehicle …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 15–22 Read article
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Sky Maharasana Yogic Exercise for Postural Problems
Abstract: The purpose of the study was to sort out the benefits of SKY Maharasana Yogic Exercise (SKYMYE) practices to relieve from the postural problems of the back pain among working women. It was hypothesized that there would be significant differences in postural problems with the effect of SKYMYE practices among the working women. For the present study, 50 female working women from Coimbatore district, Tamil Nadu were selected at random …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 6, Issue 1, 2019 · pp. 19–22 Read article
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Experimental Investigation on Concrete with Replacement of Fine Aggregate from Scrap Tyre Rubber Dust
Abstract: Concrete is the most widely used construction material in the world in which cement and aggregates are the main constituents. This has led to continuous and increasing demands of natural materials used in the construction. Present study aims to explore the potential utilization of scrap tyre rubber in various Portland cement concrete categories for the production to study the structural behaviour of concrete, and to help partially solving environmental problem …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 5–9 Read article
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Performance of GFRP Bars in Flexural Members: A Comparative Study with Metal Bars Using FEA and Experimental Study
Abstract: In recent years, GFRP bars have been introduced as a replacement for metal bars as reinforcement in flexural members. This study evaluates the use of GFRP bars as the main reinforcement in flexural members such as beams through computer simulations and experimental work. A 4-meter beam from a sample structure, analyzed as per IS 875 (1987) Part 2, was considered for the study. This beam was designed considering both metal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 262–267 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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The Effectiveness of a Nurse-led Cervical Cancer Prevention Program Among Reproductive-age Women in Selected Areas of Chennai
Abstract: Background: Cervical cancer remains a major global health issue, significantly impacting women's health. Early detection and preventive measures through screening, along with enhanced awareness, are vital in lowering mortality rates associated with this disease. This study aimed to evaluate the effectiveness of a nurse-led cervical cancer prevention program in improving knowledge and practice related to cervical cancer prevention among women. Methods: This quasi-experimental study was conducted with 60 women divided …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 6–13 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Effect of Water Absorption on the Mechanical Properties of Oil Palm Empty Fruit Bunch (OPEFB) Reinforced Polymer Composite
Abstract: Natural fibres are progressively picking up attention as their applications are diversified into multiple industries which includes the automotive industry where lightweight materials are of utmost importance. The demand for natural fibre reinforced polymer matrix composites was nevermore as predominant as it is today. Oil palm empty fruit bunch (OPEFB) fibres are natural fibres and contribute to an eco-friendlier substitute when compared to synthetic fibres. These fibres are obtainable in …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 1, 2025 · pp. 11–26 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article