Abstract :

Efficient Fluid Transport Is A Fundamental Requirement In Numerous Engineering Applications, Including Oil And Gas Pipelines, Chemical Process Industries, Heat Exchangers, Biomedical Devices, Hydraulic Systems, Water Distribution Networks, Aerospace Fuel Delivery Systems, And Microfluidic Devices. Frictional Drag Generated Between The Flowing Fluid And The Internal Wall Of Conduits Accounts For A Significant Portion Of Pumping Power Consumption And Energy Losses In These Systems. Conventional Drag Reduction Techniques Such As Polymer Additives, Surface Coatings, Turbulence Control Devices, And Active Flow Control Methods Often Involve High Operational Costs, Increased Maintenance Requirements, Or Limited Long-term Effectiveness. Consequently, Passive Drag Reduction Technologies Inspired By Natural Biological Systems Have Emerged As Promising Alternatives For Improving Fluid Transport Efficiency While Minimizing Energy Consumption. Nature Provides Numerous Examples Of Highly Efficient Surface Structures That Reduce Fluid Resistance. The Microscopic Riblet Structures Present On Shark Skin, The Hierarchical Surface Patterns Of Lotus Leaves, And The Textured Scales Of Fast-swimming Aquatic Organisms Have Inspired Engineers To Develop Bio-inspired Surface Textures Capable Of Modifying Near-wall Flow Behavior. These Surface Textures Suppress Turbulence Generation, Reduce Wall Shear Stress, Stabilize The Boundary Layer, And Minimize Frictional Resistance Without Requiring External Energy Input. Recent Advances In Computational Fluid Dynamics (CFD) And High-resolution Numerical Simulation Have Enabled Detailed Investigation Of The Interaction Between Textured Surfaces And Internal Fluid Flow, Facilitating The Optimization Of Texture Geometry For Enhanced Drag Reduction Performance. This Research Presents A Numerical Analysis Of Bio-Inspired Surface Textures For Drag Reduction In Internal Fluid Flow Systems Using Computational Fluid Dynamics. Several Bio-inspired Surface Configurations, Including Riblet, Groove, And Micro-patterned Textures, Are Numerically Analyzed Under Different Reynolds Numbers And Flow Velocities. The Influence Of Surface Texture Geometry On Velocity Distribution, Wall Shear Stress, Pressure Drop, Turbulence Intensity, Drag Coefficient, And Pumping Power Is Systematically Evaluated. Numerical Simulations Are Performed Using A Finite Volume Approach With Appropriate Turbulence Models To Accurately Capture Near-wall Flow Characteristics And Quantify Drag Reduction Performance. The Numerical Results Demonstrate That Bio-inspired Surface Textures Significantly Improve Hydraulic Performance Compared With Conventional Smooth-wall Channels. The Optimized Riblet Configuration Effectively Suppresses Turbulent Fluctuations, Reduces Wall Shear Stress, Lowers Pressure Drop, And Decreases The Overall Drag Coefficient While Maintaining Stable Flow Characteristics. The Proposed Bio-inspired Surface Achieves Substantial Reductions In Pumping Power Requirements And Enhances Energy Efficiency Without Introducing Additional Mechanical Complexity. The Developed Drag Reduction Strategy Offers Considerable Potential For Application In Industrial Pipeline Systems, Heat Exchangers, Hydraulic Machinery, Biomedical Devices, Marine Engineering, Aerospace Fuel Transport Systems, And Microfluidic Technologies Requiring Efficient Internal Fluid Transport.

Published:

23-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

776-790

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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