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583 articles for “Experimental mechanics”
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1258–1284 Read article
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An Experimental Investigation on Hybrid Polymeric Composite Materials Reinforced with Sisal & Acacia Fiber
Abstract: AbstractThe demand for wood materials in the construction of building field is on the rise. This leads to the depletion of natural resources and encourages deforestation. The polymeric composite materials reinforced with natural fiber are being used as a wood substitute and is also used for fabricating interior parts of the automobiles. Acacia fiber is also added to the polyester resin, since it is good in compressive and tensile strength. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 8, Issue 3, 2018 · pp. 19–24 Read article
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Optimizing Power Generation from Building Ventilation Systems: A Study on Exhaust Fan Efficiency
Abstract: Due to population growth, the world's energy consumption has increased dramatically in both wealthy and developing nations in recent years, and by 2042, it is predicted to have doubled or more. Since a few years ago, the use of innovative sustainable power sources to meet energy demands has been gradually increasing. We've chipped away at a different idea because of this. As an alternative energy source, renewable energy (RE) resources …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 2, 2023 · pp. 22–27 Read article
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Deformation and Densification Behaviour of Sintered Aluminium Alloy and Chromium Carbide Metal Matrix Preforms
Abstract: This paper presents comprehensive experimental results focused on the deformation and densification behavior of sintered AA2618 - 2% Cr3C2 metal matrix preforms. The study specifically examines preforms with varying aspect ratios subjected to a cold upsetting process. To create the powder preforms, an initial theoretical density of 89% was achieved using a cylindrical die on a 600 kN hydraulic press. The sintering process was conducted in an electric muffle furnace, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–131 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Innovative Applications of Aerated Concrete– A Review
Abstract: This paper deals with the review of literature regarding the Aerated Concrete. The main aim of the research was to study the application and properties used for paving structure, retaining structures, as a mortar, etc. The papers studied for the project mainly consist of the use of air entraining agent with different materials. For finding the mechanical properties, moisture content, freezing thawing effects, corrosion, etc., different experimental procedures, methods, materials …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 3, 2018 · pp. 13–19 Read article
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Study of Nano Additives in Concrete mix Proportioning Using Nano Particle
Abstract: This research literature reviews on nanomaterials in concrete. Now, the conventional concrete Properties of nanomaterial utilization have been introduced to various attentions to increase. Ultimately, as an introduction, the nanomaterial is increasing the strength and durability of the Concrete. The nanomaterial is described as the material that includes the particle size Less than 200 nm. While the investigation of Concrete in the importance of nanomaterials, the demand is at least …
Published in Journal of Construction Engineering, Technology & Management · Vol. 10, Issue 1, 2020 · pp. 37–48 Read article
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Effect of Ni Addition on the Hardness and Tensile Strength of Al – Cu Alloy Prepared by Powder Metallurgy Technique
Abstract: Aluminium alloys are becoming potential engineering materials offering excellent combination of properties such as high specific strength, high specific stiffness, electrical and thermal conductivities, low coefficient of thermal expansion and wear resistance. Generally, copper and nickel were used as alloying elements in aluminium alloy to increase high temperature strength.Both powder metallurgy as well as casting techniques is used to produce Al-Cu-Ni alloys.However, P/M technique is better suited for preparing this …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 19–23 Read article
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Studies on Modelling of Mechanical Properties of Polyester-based Semi-rigid Polyurethane Foams
Abstract: This paper describes the mechanical behaviour of castor oil based semi rigid polyurethane foams with relative density below 0.05moulded by varying isocyanate index (Isocyanate equivalent/hydroxyl equivalent) from 1:1 to 1:2. Mechanical properties of polyurethane foam mainly compressive strength is measured experimentally and the values were compared using three widely referred theoretical models namely: (i) the Empirical model (ii) Gibson and Ashby approach widely used for foam description and (iii) modified …
Published in Journal of Polymer & Composites · Vol. 8, Issue 1, 2020 · pp. 77–86 Read article
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Investigation and Optimization of Resistance Spot Welding Parameters for Stainless Steel
Abstract: The present work examines the significant impact of resistance spot welding (RSW) process parameters on the properties and efficacy of connections created in sheets of 316L stainless steel. This study examines the intricate relationship between welding parameters, investigating their influence on the microstructure, mechanical characteristics, and overall efficacy of welded connections. By employing a methodical experimental methodology, this study thoroughly investigates the impact of different factors in resistance spot welding …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 15–21 Read article
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Mechanical and Morphological Characterization of Halloysite Nanotube (HNT) Reinforced Urethane Dimethacrylate (UDMA) Dental Composites
Abstract: Dental resin composites are widely used in restorative dentistry because of their excellent aesthetics, conservative cavity preparation, and satisfactory mechanical properties. However, their long-term clinical performance is limited by polymerization shrinkage, wear, microcrack formation, water absorption, and degradation in the oral environment. This study investigates the mechanical and morphological characteristics of Halloysite Nanotube (HNT)-reinforced Urethane Dimethacrylate (UDMA) dental composites to enhance the structural performance and durability of restorative materials. UDMA-based …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 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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Design and Characterization of High-Performance Polymer Nanocomposites for Aerospace Applications
Abstract: Polymer nanocomposites have revolutionized aerospace materials through mechanical strength, thermal stability, and lightness. A number of polymer matrices filled with nanofillers such as carbon nanotubes, graphene, and nanoclay considerably improved structural integrity, flame resistance, and environmental adaptability. However, fabrication techniques are still being optimized so that nanofillers are properly dispersed throughout, which may create contradictions between mechanical strength and process ability. This work tries to design and characterize high- performance …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 178–193 Read article
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Structure–Property Correlation of Infill Topology and Density on Tensile and Flexural Performance of FDM-Printed PLA and ABS
Abstract: Additive Manufacturing (AM), particularly Fused Deposition Modeling (FDM), has become a widely adopted manufacturing technology due to its design flexibility, low cost, and capability for rapid prototyping. However, the mechanical performance of FDM-printed components is strongly influenced by internal structural parameters such as infill pattern and infill density, in addition to the intrinsic material behaviour. This study investigates the structure–property relationship between infill topology, density, and mechanical performance of PLA …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 26–37 Read article
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Solar Wireless EV Charging System
Abstract: This project presents a Solar Wireless Electric Vehicle (EV) Charging System that integrates solar energy with inductive wireless power transfer (WPT) to achieve a sustainable and eco-friendly charging approach. The proposed system utilizes a 12V solar panel as the primary renewable energy source, which charges a 3.7V lithium-ion battery through a transistor-based control circuit. This stored solar energy then powers the primary coil, generating an alternating magnetic field that enables …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 14–20 Read article
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Machine Learning for Finding Materials for Membranes
Abstract: Traditionally, finding and improving membrane materials has depended on trial-and-error experiments, which can take a long time, cost a lot of money, and only cover a small area. Recent improvements in machine learning (ML) have the potential to change the way membrane materials are designed by making it possible to make predictions about performance, selectivity, and stability based on data. ML algorithms can find hidden links between the structure, composition, …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Advancements in Metal-Plastic Hybrid Structures: Experimental Analysis and Design Optimization of 3D-Printed Honeycomb Frameworks
Abstract: The exploration of metal-plastic hybrid structures has gained significant attention due to their potential for lightweight, high-strength applications across industries such as aerospace, automotive, and construction. This study investigates the experimental and design enhancements of a metal-plastic hybrid structure utilizing a honeycomb architecture produced through 3D printing. By integrating metals with plastic polymers in a honeycomb configuration, this hybrid approach aims to combine the high strength and stiffness of metals …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Optimization of Process Parameters for Cu90Ni10 Alloy Processed by Wire Arc Additive Manufacturing (WAAM) Using an L9 Orthogonal Array
Abstract: Abstract Wire Arc Additive Manufacturing (WAAM) has gained significant attention in recent years as a promising technique for producing complex metallic components. This study focuses on the processing of Cu90Ni10 alloy using WAAM and employs an L9 orthogonal array to optimize the mechanical properties of the resulting components. Cu90Ni10 alloy is known for its excellent corrosion resistance and electrical conductivity, making it a critical material in various industries, including aerospace …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 292–301 Read article
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AN EXPERIMENTAL INVESTIGATION OF HIGH PERFORMANCE BY USING STEEL AND POLYPROPYLENE FIBRES
Abstract: This study explores the feasibility of partially substituting conventional cement in concrete with steel and polypropylene fibers to improve mechanical performance and introduce alternative composite materials. Concrete cube specimens measuring 150 × 150 × 150 mm were cast with varying mix designs corresponding to M20 and M25 grades. The experimental program was executed in two distinct phases. In Phase I, control mixes of M20 and M25 grade concrete were prepared …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 7–13 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article