Computational Fluid Dynamics (CFD)
High-fidelity CFD simulation for aerodynamic, thermal, and multiphase flow problems using ANSYS Fluent and OpenFOAM.
Overview
Our CFD practice resolves complex fluid flow and heat transfer phenomena — from steady-state RANS through transient LES — delivering quantitative performance predictions that replace empirical guesswork with physics-based engineering insight.
Capabilities
- Experimental testing of airflow and thermal performance is prohibitively expensive and time-consuming
- Existing designs suffer from unknown pressure drops, flow maldistribution, or thermal hotspots
- Inability to visualize internal flow paths makes root-cause analysis of performance issues guesswork
- Competitive pressure to optimize energy efficiency and meet tightening regulatory standards
- External and internal aerodynamic flow analysis with drag, lift, and pressure distribution quantification
- Conjugate heat transfer coupling fluid convection with solid conduction in heat exchangers and electronics
- Multiphase flow modeling for liquid-gas separators, spray systems, and free-surface applications
- Fan and blower performance prediction including system resistance curve matching
- CAD preparation: clean and defeature geometry in SolidWorks, extract fluid volumes, define boundary zones
- Meshing: generate hex-dominant mesh with boundary layer inflation using Fluent Meshing or snappyHexMesh
- Physics setup: configure turbulence model (k-ω SST for wall-bounded, realizable k-ε for free-shear), heat transfer, and material properties
- Solving: run steady-state or transient solution with convergence monitoring on residuals, mass/energy imbalance, and surface monitors
- Validation and reporting: compare with available test data or empirical correlations, deliver flow visualization, pressure/temperature maps, and engineering summary
- CFD methodology report documenting domain, mesh, physics setup, and convergence criteria
- Flow visualization package: streamlines, velocity vectors, pressure contours, temperature maps
- Quantitative results summary: pressure drops, heat transfer coefficients, drag/lift forces
- Design optimization recommendations with comparative parametric study results
- Solver case files (ANSYS Fluent .cas/.dat or OpenFOAM case directory) for client review
Expected Outcomes
- Quantified pressure drop and flow distribution enabling right-sized pump and fan selection
- Thermal hotspot identification and elimination through design modification studies
- Energy efficiency improvement of 10-30% through aerodynamic shape optimization
- Reduced physical testing scope by pre-screening design variants computationally
Why Shirsh
We operate a dual-solver CFD practice — ANSYS Fluent for projects requiring commercial-grade validation traceability and advanced meshing, and OpenFOAM for engagements where HPC scalability, solver customization, or licensing economics are decisive. This flexibility lets us match the right tool to each project's technical and commercial requirements.
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