Search
934 articles for “experimental analysis”
-
Fabrication and Evaluation of Mechanical Properties of Banana Fiber Reinforced Epoxy Composites
Abstract: Natural fiber reinforced composites are gaining attention in recent days due to eco-friendly nature, sustainability, low cost and easy availability. The natural fibers are enriched with favorable mechanical properties which diversify artificial fibers are bio-degradable, nonhazardous, light weight. In this submission, specimens of the banana fiber reinforced epoxy composites are developed to evaluate the mechanical properties. The composite sample specimens are designated with different fiber orientations using the hand lay-up …
Published in Trends in Mechanical Engineering & Technology · Vol. 10, Issue 1, 2020 · pp. 37–47 Read article
-
Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
-
Experimental Investigation into MRR of Polished Zinc Plate with Ultrasonic Vibrations Using Single Pole Magnetic Abrasive Finishing Process
Abstract: The present research examines the material removal rate (MRR) in finishing zinc plates on the experimental framework called Single Pole Magnetic Abrasive Finishing Process (SPMAFP) by inducing ultrasonic vibrations. By means of a Flexible Magnetic Abrasive Brush (FMAB) composed of 40% alumina and 60% iron elements, the investigation estimates the effect of key process parameters on surface finishing excellence. An L-16 factorial study design was applied to examine the FMAB …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 428–438 Read article
-
Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
-
Experimental Study on Load Transfer Mechanism in Columns Retrofitted by Bonding Precast Segments and FRP Wrapping
Abstract: An experimental study was conducted to investigate the load transfer mechanism in columns retrofitted with precast segments and Fiber-Reinforced Polymer (FRP) wrapping. As the demand for structural retrofitting grows, it becomes crucial to comprehend the behavior and effectiveness of retrofit techniques to ensure the safety and integrity of existing infrastructure. The study involved subjecting a series of column specimens to axial compression loads in order to evaluate the load transfer …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 153–165 Read article
-
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
-
A Study to Assess the Effectiveness of a Planned Teaching Programme on Knowledge Regarding Current Trends and Issue in Obstetrical and Gynaecological Nursing Among Students of 3rd Year GNM of M.M. Singhi Institute of Nursing, Ahmedabad
Abstract: Nursing is regarded one of the oldest arts, despite being one of the youngest professions. Nursing techniques for newer and newest therapies, such as an infant care, pain management, client education and other interventions cannot be possible without fresh understanding. Research studies on current trends and issues in obstetrics and gynaecological nursing improve maternal and foetal health outcome. The study objectives were to assess the knowledge regarding current trends and …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 29–34 Read article
-
AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
-
Machine Learning–Assisted Design of High-Performance Biomedical Polymer Composites
Abstract: The high-performance biomedical polymer composite design needs to represent a trade-off between the strength, biocompatibility, and degradation that cannot be accomplished using conventional design methods. The study aims to develop a predictive and optimization framework of composite properties with the help of machine learning. The methods include ANN, SVM, Random Forest, and Gradient Boosting with experiment and simulation data. The results of Gradient Boosting show that the accuracy is 95.9 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Evaluation of Coefficient of Performance of Water– Carrol Vapor Absorption Refrigeration System Using Artificial Neural Network approach
Abstract: Normal 0 false false false EN-US X-NONE X-NONE The aim of this work is to apply expert system methods, like artificial neural network (ANN), for evaluating the coefficient of performance (COP) of water-carrol (lithium bromide-ethylene glycol)-based vapor absorption refrigeration system. Theoretical performance analysis of vapor absorption refrigeration system is too complex since very tedious second-order mathematical differential equations are used. In order to simplify this complex process, artificial neural networks …
Published in Trends in Mechanical Engineering & Technology · Vol. 2, Issue 3, 2012 · pp. 29–37 Read article
-
A Detailed Study on Performance Evaluation of Multiple Co-Axial Nozzles
Abstract: A nozzle is a device which converts the PE (Pressure Energy) of flowing jet into KE (Kinetic Energy). In this paper we tried to determine the performance of various types of nozzles i.e., with varying the inlet cross section dimension (square, circular, hexagon etc.) and keeping the outlet condition same i.e., circular cross section and analysis by using CFD (Computational fluid dynamics) tools (Gambit, Catia and Ansys Fluent).Keywords: Nozzles, CFD …
Published in Journal of Experimental & Applied Mechanics · Vol. 6, Issue 1, 2015 · pp. 23–48 Read article
-
Comparative Analysis of Kinetic Models for Simulation of Biogas Production from Cow Dung and Fruit Waste via Anaerobic Digestion
Abstract: This study investigates the optimization of biogas and biofertilizer production from cow dung and fruit waste through anaerobic digestion, utilizing various microbial growth kinetic models. Simulations were conducted using the Monod, Moser, Contois, and Tessier models to predict biogas yield and assess model accuracy. Results indicated that the Tessier model provided the closest fit to experimental data, with a biogas yield of 0.45 m³/kg VS, while the Monod model overestimated …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 47–63 Read article
-
Matching Minutiae Fingerprint Q-Learning Approach for Detail Coordination: Identifiable Mark Point
Abstract: The use of fingerprints for high-precision recognition and identification of people is one of the most reliable biometric symbols because it is non-invasive. In this paper, we propose an innovative approach to detect details on low contrast resolution image quality of fingerprint images. Existing algorithms are not very susceptible to sound and image excellence due to the lack of level of intensity. We recommend a reliable route to find fingerprints …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 1–15 Read article
-
Viscoelastic Behavior and Wrinkle Formation in Cotton- Polyester Garments: A Data-Driven Approach for Textile Care
Abstract: This study investigates the wrinkle behavior of cotton-polyester blended fabrics by analyzing data from over 1,200 store-handled garments. Integrating concepts from polymer chemistry and computer vision, it aims to establish a smart textile care framework based on fiber-specific wrinkle characteristics. The research identifies how cotton’s hydrophilic and non-elastic structure results in increased wrinkling, while polyester’s thermoplastic and crystalline properties enhance wrinkle resistance. Elastomeric fibers like Lycra contribute to wrinkle recovery …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 50–60 Read article
-
Development of Refractory Synthesized from Waste Ceramic Fiber and Chamotte
Abstract: Research on refractory materials is always essential in thermal engineering to ensure both heat savings and environmental protection. Raw materials used initially have a great influence on the production process and product properties. In addition, the refractory products are tested under conditions of high temperature and varying intensity, such as tests of thermal shock resistance. In this study, new refractory composites were prepared by mixing waste ceramic fibers with chamotte …
Published in Journal of Polymer & Composites · Vol. 8, Issue 2, 2020 · pp. 101–109 Read article
-
A Report on Numerical Investigation of Wings: with and without Telescopic Wing
Abstract: The telescopic wing has generated lots of interest in telescopic wing weight, geometry, complexity, structure, retractable/extendable mechanisms and aerodynamic performance etc. The problem is to develop telescopic wing for Piper PA-28 Cherokee is a one of the light aircraft built by Piper aircraft and designed for flight training, air taxi, and personal use. The key design parameters for the telescopic wing aircraft as mentioned are lift force generated (lift coefficient) …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 16–23 Read article
-
Design and Development of Metallic Isolators for Wedge Lock Mounted Printed Circuit Boards (PCBs)
Abstract: Wedge lock interfaces are preferred for mounting printed circuit boards (PCBs) in electronic packages of air borne vehicles. Merits of this particular mounting configuration are high mounting stiffness, high vibration dissipation and low thermal interface resistance. However, good amount of vibration dissipation occurs only in the close vicinity of wedge locks provided integral to PCBs; because of which electronic components can be mounted only near the wedge locks on PCB. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 3, 2016 · pp. 27–34 Read article
-
Modeling and Analysis of Crack Initiation in a Cylindrical Specimen
Abstract: In an engineering component subjected to variable loading/cyclic stressing, the stress and stress state, particularly the plastic strain and the triaxiality, play an important role in determining its life. Ductile materials predominantly fail by void growth, and crack initiation in ductile material can be associated with a specified volume of voids. Estimation of this crack initiation life and the remaining life through analytical modeling and comparing it through experimental testing …
Published in Trends in Mechanical Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 20–28 Read article
-
Effectiveness of structured teaching programme on knowledge regarding Prophylactic vaccination against cervical cancer among adolescent girls
Abstract: Background: Adolescent health encompasses the variety of methods used to prevent, identify, or treat the health and wellness of young people. Adolescent health also includes the sexual and reproductive health of children and young adults. Women of all ages are susceptible to HPV infection. The human papillomavirus is the cause of cervical cancer . The HPV vaccine is an important main preventive measure against cervical cancer . Thus, it is …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 Read article
-
Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article