Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics
https://adrjournalshouse.com/index.php/journal-mechanics-fluid-dynamics
Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics ISSN: 2349-7661Advanced Research Publicationsen-USJournal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics2394-7055Aerodynamics: Fundamentals, Utilisations, and Progress
https://adrjournalshouse.com/index.php/journal-mechanics-fluid-dynamics/article/view/2081
<p>Aerodynamics, the study of the motion of air and other gases and the forces acting on objects as they move through these fluids, is a cornerstone of modern engineering and scientific inquiry. This review article provides a comprehensive overview of the fundamental principles of aerodynamics, its diverse applications across various industries, and recent advances shaping the field. Starting with basic concepts such as fluid dynamics, forces, and equations of motion, we delve into key applications including aviation, automotive engineering, sports, renewable energy, and architecture. Moreover, recent advances in computational fluid dynamics, unmanned aerial vehicles, aerodynamic optimization, and bio-inspired aerodynamics are discussed, highlighting the cutting-edge research driving innovation in aerodynamics. This review underscores the critical role of aerodynamics in shaping technology, design, and scientific understanding, and its ongoing evolution promises continued breakthroughs in the future.</p>Preeti Kumari
Copyright (c) 2024 Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics
2024-06-202024-06-2011114Developments in Constitutive Modelling of Materials: An Extensive Analysis
https://adrjournalshouse.com/index.php/journal-mechanics-fluid-dynamics/article/view/2082
<p>Constitutive modelling plays a pivotal role in understanding the mechanical behavior of materials under various loading conditions. Over the past few decades, significant progress has been made in developing sophisticated models to describe the complex behavior of materials ranging from metals and polymers to biological tissues and composites. This review provides an overview of the latest advances in constitutive modelling techniques, highlighting their applications, strengths, and limitations. It covers various aspects such as plasticity, viscoelasticity, damage mechanics, and multi-scale modeling approaches. Additionally, emerging trends and future directions in the field are discussed. Through this review, we aim to offer insights into the current state-of-the-art in constitutive modelling, paving the way for further advancements in material science, engineering design, and computational mechanics.</p>Devendra Tripathi
Copyright (c) 2024 Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics
2024-06-212024-06-2111159Investigating Heat Transport in Fluid Flows: Obstacles, Solutions, and Uses
https://adrjournalshouse.com/index.php/journal-mechanics-fluid-dynamics/article/view/2083
<p>Heat transport in fluid flows is a complex and vital aspect of numerous natural and industrial processes. This review article provides a comprehensive overview of the mechanisms, challenges, and applications associated with heat transport in fluid flows. Understanding heat transfer mechanisms, including conduction, convection, and radiation, is fundamental to predicting temperature distributions and optimizing heat management strategies. Challenges such as turbulence, boundary condition determination, and multiphase flows present obstacles in accurate modeling and prediction of heat transport phenomena. Despite challenges, advancements in numerical modeling, experimental techniques, and the development of innovative materials offer promising avenues for improving heat transfer efficiency and sustainability. This review highlights the diverse applications of heat transport in energy systems, climate modeling, thermal management, and biomedical engineering. Future directions include the exploration of advanced numerical techniques, renewable energy systems, and nanofluid-based heat transfer enhancement. Overall, this review underscores the importance of interdisciplinary research efforts in advancing our understanding of heat transport in fluid flows and its practical implications.</p>Ashish Kumar
Copyright (c) 2024 Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics
2024-06-202024-06-201111014Investigating Materials and Fluids’ Thermodynamic Properties
https://adrjournalshouse.com/index.php/journal-mechanics-fluid-dynamics/article/view/2084
<p>Thermodynamics governs the behavior of materials and fluids under different conditions, providing insights into energy exchange, phase transitions, and equilibrium states. This comprehensive review explores the foundational principles and recent advancements in thermodynamics applied to materials and flowing fluids. From the fundamentals of thermodynamic laws to complex phase transitions in materials and the dynamic behavior of fluids, this review covers a wide range of topics. It discusses the thermodynamics of materials including alloys, polymers, and nanomaterials, as well as the thermodynamics of flowing fluids, encompassing energy exchange mechanisms and phase transitions. Furthermore, it highlights recent advances in computational thermodynamics, applications in renewable energy, and exploring thermodynamics under extreme conditions. Understanding thermodynamics is crucial for various fields including materials science, chemical engineering, and environmental science. As research progresses, thermodynamics continues to drive innovations and shape our understanding of the physical world.</p>Dhurvi Patel
Copyright (c) 2024 Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics
2024-06-142024-06-141111520Progress in Computational Fluid Dynamics: An Examination of Modelling and Simulation Programmes
https://adrjournalshouse.com/index.php/journal-mechanics-fluid-dynamics/article/view/2085
<p>Computational Fluid Dynamics (CFD) has become an indispensable tool for engineers and researchers across various disciplines, enabling the simulation and analysis of complex fluid flow phenomena. In this review article, we explore the landscape of CFD software, focusing on Gambit and other modeling and simulation platforms. Gambit, renowned for its user-friendly interface and robust meshing capabilities, remains a cornerstone in pre-processing for CFD simulations. Alongside Gambit, software such as OpenFOAM, COMSOL Multiphysics, ANSYS Fluent, and NUMECA contribute significantly to advancing CFD modeling and simulation. We discuss the features, capabilities, and recent advancements of these tools, highlighting their role in addressing challenges in aerospace, automotive, environmental, and biomedical engineering. Furthermore, we examine emerging trends such as high-performance computing, machine learning integration, and cloud-based simulations, shaping the future landscape of CFD. This review aims to provide insights into the state-of-the-art in CFD software and its implications for research, innovation, and engineering design.</p>Shailesh Kumar
Copyright (c) 2024 Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics
2024-06-212024-06-211112124Review of Advances in Computational Mechanics
https://adrjournalshouse.com/index.php/journal-mechanics-fluid-dynamics/article/view/2086
<p>Computational mechanics has become an indispensable tool in the field of mechanical engineering, enabling engineers and researchers to simulate complex systems, predict their behavior, and optimize designs. This review article provides an in-depth overview of recent advancements in computational mechanics, focusing on finite element analysis (FEA), computational fluid dynamics (CFD), and multi-body dynamics (MBD). Key methodologies, challenges, and future directions in these areas are discussed, with a focus on their applications in various engineering domains. The integration of high-performance computing, advanced numerical algorithms, and machine learning techniques has propelled computational mechanics to new heights, allowing for more accurate and efficient simulations. This review aims to provide insights into the state-of-the-art techniques, their applications, and the emerging trends that shape the future of mechanical engineering mechanics.</p>Siddhant Pandey
Copyright (c) 2024 Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics
2024-06-212024-06-211112529Analysis of Rough and Porous Journal Bearing with Considering Lubricant Slippage Effect
https://adrjournalshouse.com/index.php/journal-mechanics-fluid-dynamics/article/view/2108
<p>In the present study, hydrodynamic journal bearings, considering the influence of surface roughness (SR), surface porosity (SP), and slip boundary condition (SBC), have been analyzed. To perform this investigation, a modified Reynolds equation with assuming Reynoldsboundary conditions has been solved. The Tripp model, Darcy law, and Modified Navier slip length model have been used to study the effect of SR, SP, and SBC. The variation of performance parameters such as lubricant pressure and lubricant film thickness with change in external applied load is investigated. It has been observed that, as compared to conventional bearing, bearing with SR, SP, and SBC shows significant improvement in the value of peak lubricant pressure and lubricant minimum film thickness.</p>Mohammad ArifDamanpreet KaurShailendra Kumar ChaurasiyaSurjit Kumar Gandhi
Copyright (c) 2024 Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics
2024-10-152024-10-1511119