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929 articles for “Simulation and Modelling”
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Flexural Response and Numerical simulation of Unidirectional Areca–Pineapple Leaf Fiber Hybrid Epoxy Composites
Abstract: The increasing demand for lightweight and environmentally sustainable materials has accelerated the development of natural fiber-reinforced polymer composites for engineering applications. In the present study, unidirectional areca and pineapple leaf fiber (PALF) reinforced hybrid epoxy composites were fabricated using a simple hand lay-up process. Before fabrication, the fibers were chemically treated to improve fiber–matrix adhesion and enhance the mechanical performance of the laminates. Four different stacking sequences (A8, A7P1, A6P2, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Simulation Studies on Effect of Parameters on to the Matrix Acidizing
Abstract: Matrix acidizing entails introducing an acid solution into the formation at a pressure lower than the fracture pressure in order to dissolve some of the minerals present. The major objective of removing the formation damage close to the wellbore, therefore restoring the natural permeability and greatly rising the well productivity. This paper is a simulation study on matrix acidizing of both sandstone and carbonate reservoirs using MATLAB software. Design parameters …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 2, 2021 · pp. 25–34 Read article
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Approximation Based Optimal Control Design Strategy for the Magnetic Levitation System
Abstract: Abstract: This paper presents the stabilization and trajectory tracking of magnetic levitation system using optimal control technique. The magnetic levitation (Maglev) system is exceedingly unstable and nonlinear system. The magnetic levitation has been a desirous area of exploration for utilization, especially in the scope of automotive where low losses due to friction and low energy consumption are an important idea. The (Maglev) system has become a large effective technology in …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 1, 2019 · pp. 8–14 Read article
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Leveraging Generative AI for Test Case Creation in Complex Systems
Abstract: Modern software systems exhibit increasing complexity, demanding sophisticated testing methodologies to ensure reliability and functionality. Traditional manual testing approaches often struggle to keep pace with this complexity, leading to inadequate test coverage and increased risk of unforeseen issues. This study explores the potential of Generative AI (GAI) in revolutionizing test case creation for complex systems. We delve into the practical application of GAI techniques, such as Variational Autoencoders (VAEs) and …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 16–22 Read article
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Group-Theoretic Symmetry Indices for Modular Building Layouts under Seismic Load Redistribution
Abstract: Symmetry in modular buildings operates simultaneously as an architectural language, a structural regularizer, and a computational design variable. This paper develops a group-theoretic framework for evaluating and optimizing plan symmetry in modular buildings subjected to seismic load redistribution. The building layout is modeled as a finite occupancy–stiffness field defined on a rectangular lattice, where each module encodes both mass and stiffness contributions. Planar reflections and quarter-turn rotations are represented as …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 01–07 Read article
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Comparison of Tuning Methods of PID Controllers of Two Conical Tank System of Interacting Type
Abstract: The rapid increasing complexity of modern control systems has accentuated the idea of applying new modern approaches in order to solve design problems for various control engineering applications. This paper deals with the tuning of PID controllers for complex nonlinear process of two interacting Conical Tank Systems. Conical tanks play vital role in leaching extractions in pharmaceutical and chemical industries, as well as in food processing industry. It is a …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 3, 2014 · pp. 8–14 Read article
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Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging
Abstract: The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions. This paper presents a self-tuning wireless power transfer system employing deep reinforcement learning (DRL) to optimize power transfer efficiency in real time. Unlike conventional WPT controllers that rely on fixed compensation parameters or predefined control rules, the proposed framework continuously …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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AI-Driven Intelligent Energy Management System for Enhancing Electric Vehicle Efficiency and Range
Abstract: Electric Vehicles (EVs) are crucial in mitigating the emission of greenhouse gases and facilitating sustainable transportation. Their performance is however limited by the capacity of the battery, unpredictable weather conditions and ineffective use of energy. The paper suggests an AI-based Intelligent Energy Management System (IEMS) to increase EV efficiency and driving range. The suggested system combines machine learning (ML), model predictive control (MPC), and real-time data analytics to optimize power …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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Enhancing Robot Autonomy: Integrating AI for Advanced Decision-making in Autonomous Robotic Systems
Abstract: The capabilities of autonomous robotic systems have been drastically changed by the rapid progress in artificial intelligence (AI) technologies. In this work, we investigate the integration of AI approaches to improve robot autonomy by presenting even more advanced mechanisms for decision-making. Almost all traditional robotic systems involve predefined algorithms, making them unable to cope with dynamic environments. They can also help with learning based on machine learning and deep learning …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 28–37 Read article
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Neural Network Based Fractional Order PID Controller for Harmonic Mitigation of Induction Motor Drive System
Abstract: Torque produced in IM (induction Motor) is collected fundamental torque, however, due to core saturation, air gap irregularity, and winding distribution; stator and rotor slotting harmonics torque are produced. This reduces the quality of the power system, life span, and performance of the motor and the controller device. In this paper, a neural network, based fractional order proportional integral derivative (NNFOPID) controller is designed to compensate the harmonics of the …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 23–41 Read article
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Numerical Simulation of Air Flow Field of A Gas Turbine Engine Air blast Atomizer
Abstract: One of the most crucial process that occurs before the fuel is burned in the combustion chamber is atomization. The performance of a engine will be depend mainly on the fuel mixture. Performance of the engine depends on atomization process because it breaks the bulk fuel into small droplets and injects it into the combustion chamber, in order to make this happen consequently the dimensions of most of the fuel …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 169–180 Read article
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Natural Language Processing in Everyday Applications: From Classrooms to Clinics
Abstract: Natural Language Processing (NLP) is transforming everyday sectors like healthcare and education by creating new opportunities for efficiency, accessibility, and early intervention. This paper investigates the function of natural language processing (NLP) in computer education. Tools like automated grading systems, intelligent tutoring assistants, and multilingual translation platforms are revolutionizing traditional teaching methods. Despite its benefits, adoption is still being slowed down by problems like data privacy, integration with education, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
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Task Scheduling in Cloud Computing using Hippopotamus Optimization Algorithm
Abstract: Cloud computing, which provides remote clients with on-demand services, has emerged as a crucial component of contemporary technology. It is still difficult to schedule tasks effectively in such diverse and dynamic situations. Motivated by the hippopotamus's balanced exploration and exploitation behavior, this research suggests a unique work scheduling method utilizing the hippopotamus optimization algorithm (HOA). In order to maximize resource usage and throughput while minimizing makespan and execution cost, the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 22–29 Read article
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Towards a Sustainable City: Evaluating a Dynamic Model for Urban Operation
Abstract: This paper examines the theory of the polycentric city, building on the transformation of urban operations that occurred during the pandemic. It investigates how cities and their residents adapted to measures and precautions during the pandemic, exploring the potential for a new dynamic model. This model incorporates an updated polycentric theory, integrates new technology, and adheres to sustainable development principles, with the aim of creating a sustainable, climate-friendly, and user-centric …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 3, 2023 · pp. 24–36 Read article
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Total Productive Maintenance in Indian SMEs: Capability Review
Abstract: In developing country like India, SMEs are still struggling for a suitable model for maintenance management. An effort has been made to prepare the pragmatic model of Total Productive Maintenance (TPM) in context of Indian SMEs as they are working with many inherent limitations. 10 companies (participants of Lean Manufacturing Competitiveness Scheme - LMCS project by Ministry of MSME, India) have undertaken for this research with qualitative and qualitative data. …
Published in Journal of Production Research & Management · Vol. 8, Issue 1, 2018 · pp. 37–52 Read article
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Analyzing the Effects of Soil-Structure Interaction and Geometric Configuration on Structure
Abstract: This study investigates how varying soil types impact the seismic performance of a 30-story building, simulated using ETABS software. The research focuses on key parameters such as soil type, different shapes of structure, base shear, and inter-story drifts under different soil conditions, ranging from soft clay to dense sand. By comparing fixed-base models with those incorporating soil-structure interaction (SSI), the analysis highlights significant differences influenced by soil type. The findings …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 2, 2024 · pp. 1–15 Read article
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Using Machine Learning to Guess Photochemical Reaction Pathways
Abstract: Photochemical reactions are crucial to many activities in the fields of energy conversion, environmental cleanup, and synthetic chemistry. However, predicting their causes and results effectively is still very hard since they entail excited electronic states, nonadiabatic transitions, and complicated potential energy surfaces. Machine learning (ML) has been a powerful technique to go along with classic quantum chemistry methods in the last few years. It offers better prediction capability and lower …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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Design and Analysis of Rectangular Microstrip Antenna (RMSA) for Millimeter Wave Applications
Abstract: Millimeter-wave (MMW) communication is a key technology for next-generation wireless applications. However, the antenna design for such applications at the MMW band is a critical challenge. In this paper, the design and performance analysis of a Compact Rectangular Microstrip Antenna for Millimeter Wave Communication applications has been presented. The design has been carried out at 33.5 GHz and the antenna design parameters have been optimized to achieve the optimum characteristics. …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 2, 2019 · pp. 6–13 Read article
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Fabrication of Belt for Backpack for Students to Reduce the Musculoskeletal Disorders using ABS material 3D Printing
Abstract: In the present study, the design and development of a composite-based belt aim to reduce the excessive burden on the backs of schoolchildren, which often leads to musculoskeletal disorders (MSD). The belt is designed using CATIA 3D modeling software and fabricated on an FDM-based 3D printer with ABS polymer. The design process focuses on addressing physical stress caused by heavy backpacks and prolonged use of electronic devices, both of which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1110–1117 Read article