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373 articles for “pre-experimental design”
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Modeling of ZnO Based Nano Sensor Device for Evaluating Electronic Interaction with NO2 Pollutant: Combining Multiphysics Simulation and DFT Study
Abstract: This study focuses on the designing and modeling of a sensor device employing zinc oxide (ZnO) nanowires (NWs), and the evaluation of the chemical response of the same in the presence of nitrogen dioxide (NO2), which is an acute harmful pollutant for human health and environment. Experimentally synthesized ZnO nanostructures were used as the basis for modeling of the ZnO NWs based sensor device along with a single ZnO NW, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 211–219 Read article
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Engine Performance Analysis of Cottonseed Based Biodiesel Using Design Expert Statistical Based Tool
Abstract: Biodiesel is a biofuel acquired by substance forms from vegetable oils or creature fats and liquor that can be utilized in diesel engines alone or mixed with diesel oil. It is characterized as the mono-alkyl esters of unsaturated fats got from vegetable oils or creature fats. In basic words biodiesel is the item that gotten when vegetable oil or creature fat is artificially responded with a liquor to deliver unsaturated …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article
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Strength Enhancement of Concrete with Nano-Based Admixtures
Abstract: The integration of advanced nanomaterials such as nano-silica and nano-clay has emerged as a highly promising and innovative technique to significantly enhance the mechanical characteristics and long-term durability of conventional concrete. In this comprehensive study, the effects of nano-modification on various concrete properties, including workability, compressive strength, split tensile strength, and flexural behavior, were thoroughly evaluated through a systematic experimental program. A series of concrete mix designs incorporating varying proportions …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 Read article
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Parametric Study of Laser Drilling Process Using Multi Variable Regression Analysis
Abstract: The laser drilling process is an advanced manufacturing technique extensively employed for intricate and high-value components in aerospace, automotive, and electronics industries. Laser drilling technology offers opportunities to meet the contemporary demands of industries using a broad spectrum of engineering materials. However, this process encounters several engineering challenges such as thermal damage, dimensional inaccuracies, and the formation of a recast layer in the drilled components. This study focuses on examining …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1000–1015 Read article
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Strength Investigation on Butt Welded Polymer Tubes
Abstract: The purpose of this study is to examine instances in which pipes and butt welds are subjected to unintended stresses, resulting in fractures or full destruction. The behavior of radial force (perpendicular to the OX axis) in two circumstances is seen, and we conclude which of the two examples has more flaws. The two circumstances will be examined from an analytical, theoretical, and experimental standpoint, leading to some key findings …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 74–84 Read article
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Effect of Blunt Truncation in an Aerospike Nozzle
Abstract: Aerospike nozzles are gaining attention as a more advanced alternative to conventional bell nozzles, mainly because they can perform efficiently across a wide range of altitude conditions. Unlike traditional converging–diverging nozzles, aerospike designs naturally adjust to changes in ambient pressure, allowing the exhaust flow to expand more effectively. This results in better thrust performance under varying operating conditions, making them a strong candidate for future aerospace propulsion systems. In this …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Effect of Surface Modification on Properties of Kevlar/Epoxy Polymer Composites
Abstract: In this study, a high-performance Kevlar/epoxy polymer composite was prepared using a hand lay-up technique. The Kevlar fiber was treated with calcium chloride/ethanol solution (CaCl2/EtOH) to enhance the interfacial interaction between the fiber and the epoxy matrix. The optimization of fiber surface treatment and fiber content for the best tensile strength (TS) of Kevlar/epoxy polymer composite was achieved using Box-Behnken design (BBD) through response surface methodology (RSM). Three parameters: CaCl2 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 35–46 Read article
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Investigation on Structural Behavior of RC Beam-Column Joints: State-of-the-art
Abstract: Beam-column joints (BCJs) are critical structural elements in buildings, influencing overall structural performance and safety. This review paper presents a comprehensive analysis of findings of research showing concern about various aspects of BCJs, focusing on eccentricity effect, numerical investigation, joint behavior, shear strength, retrofitting strategies, and recent advances. Through experimental studies, numerical simulations, and analytical approaches, various studies have made significant progress in understanding BCJ response to various loading circumstances …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 40–68 Read article
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Analyzing the Sheet Metal Extrusion Process Using Finite Element Analysis
Abstract: A wide range of sheet metal forming techniques has been developed to make it easier to produce intricate 3D objects. However, the knowledge still isn't sufficient. The sheet metal extrusion method was examined in this research as one of the common sheet-bulk metal manufacturing technologies. Consideration of the flow-stress curve's impact across a broad range of plastic strain and ductile damage played a pivotal role in constructing a realistic finite …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 13–25 Read article
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Design and Reliability Analysis of Polymer Pervious Concrete Mix for Preparation of Paver Block
Abstract: Porous concrete is a specially designed kind of concrete featuring high water porosity, allowing water to readily move through the already present interconnecting vast porous structures. The present experimental study emphasized on the production of permeable concrete with a lower Portland cement and recycled aggregate aggregates building environmentally friendly permeable pavements. The literature review suggested in most of the studies the use of single size of aggregate in the pervious …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 8–23 Read article
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Impact of AI Tools on the Development of Expressive Language Skills of Children with Intellectual Disability at the Primary Level
Abstract: Expressive language skills are important for everyone for an independent life. Human interaction is being forced to be replaced by technology. The impact of language skills of children is limited due to attention towards technology and artificial intelligence (AI) tools. This study aims to connect the AI tools like ChatGPT and Google AI Studio to develop the expressive language skills of children with mild to moderate intellectual disability. A quasi-experimental …
Published in International Journal of Children · Vol. 3, Issue 1, 2026 · pp. 8–16 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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An Investigation of Model Predictive Control in Self-driving Vehicles
Abstract: Autonomous vehicles, which are often known as self-driving automobiles or driverless cars, are vehicles that can navigate and operate without human intervention. They require efficient controllers capable of handling complexities, with reduced computational costs, and should handle multiple inputs and outputs simultaneously. Model predictive control (MPC) possesses all these characteristics which means it can be utilized effectively for the same purpose. MPC for autonomous vehicles proposes various ways of achieving …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 40–50 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Computational Simulations in Drug Discovery: Modeling Protein Folding and Drug Binding
Abstract: Computational simulations have become essential tools in drug discovery, offering unprecedented insights into molecular behavior at the atomic level. These simulations, particularly in the domains of protein folding and drug binding, allow for the exploration of complex biological systems that are often difficult to study experimentally. Protein folding, a critical aspect of drug discovery, involves the transition of a polypeptide chain from an unfolded to a biologically active structure. Understanding …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 23–29 Read article
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A Descriptive study to assess the prevalence of Nomophobia among Nursing students in Chirayu College of Nursing Bhopal (MP).
Abstract: Nomophobia, defined as the fear or anxiety of being without access to a mobile phone, has emerged as a growing behavioral concern in the digital age, particularly among young adults. Nursing students are especially vulnerable due to their extensive reliance on smartphones for academic, clinical, and social purposes. The present descriptive study was conducted to assess the prevalence of nomophobia among nursing students at Chirayu College of Nursing, Bhopal (Madhya …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 36–41 Read article
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Enhancing Ship Roll Stabilization: Design of Active Fin Stabilizers Using Auto-Tuned PID Controllers
Abstract: The rolling motion of any type of mechanical system can be realized by the linear differential equation with some constant coefficient. In the domain of marine industries, it is observed that the stabilization of the ship’s roll motion is required due to the occurrence of the most unwanted water wave disturbances at the sea. It may cause serious types of damage to the equipment related to the ship. Active fin …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 18–31 Read article
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Process Optimization of Spot Welding for Galvanized Automotive Steel Sheets
Abstract: Resistance Spot Welding (RSW) is a pillar of the modern automotive industry with the usage of lightweight and high-strength products at the highest point of demand. The optimum weld quality of galvanized steel sheets which is a material of choice because of its additional corrosion protective property is however not achieved easily. This study is a well-developed data-based solution to designing the RSW process in the most efficient way, providing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 32–42 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