Aeraulic Flow Modeling via Segmented Mesh Coupling
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Solution Overview
Problem
Conventional methods for modeling aeraulic flows, such as Computational Fluid Dynamics (CFD), face challenges in providing exact solutions due to the 'Closure Problem' and require significant computational resources, making them complex and inaccessible for routine use by non-experts, especially in evaluating risks of airborne contamination.
Innovation Solution
A process that integrates current technical knowledge to reduce the number of iterations needed for solutions, using a two-phase method with a primary solution calculation in each mesh and a coupling algorithm to refine it, combined with 3D laser scanning for accurate modeling and sensor data integration, allowing for a more user-friendly and efficient evaluation of aeraulic flows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CFD methods are used to model aeraulic flows, then the solution precision is improved, but the computational time and resource requirements increase significantly
Solution Approach 1:
The patent divides the calculation area into a mesh of finite volumes and applies a two-phase calculation method: first calculating primary values in each mesh independently, then refining through coupling algorithms. This segmentation allows parallel processing and reduces overall computational time while maintaining precision.
Solution Approach 2:
The patent calculates primary values of primitive variables in each mesh before performing the coupling refinement. This preliminary action provides initial estimates that guide the subsequent iterative process, reducing the number of iterations needed for convergence.
2Measurement precision
If conventional CFD methods with iterative algorithms are used, then the solution accuracy is improved, but the device complexity and expertise required increase
Solution Approach 1:
The method is divided into distinct phases: mesh generation, primary value calculation, and coupling refinement. Each phase has clear input-output relationships, making the overall process more structured and easier to implement without requiring deep expertise in complex iterative algorithms.
Solution Approach 2:
The patent introduces an intermediary coupling algorithm that connects the primary value calculations in different meshes. This intermediary step simplifies the overall solution process by providing a clear pathway from initial estimates to final refined values, reducing the complexity of direct iterative methods.
3Loss of information
If experimental simulation is used to study aeraulic flows, then qualitative understanding is improved, but the applicability to other conditions decreases
Solution Approach 1:
The patent creates a digital model (copy) of the physical environment including geometry, boundary conditions, and physical properties. This virtual replica can be studied repeatedly under different conditions without physical reconfiguration, providing both qualitative understanding and adaptability to various scenarios.
Solution Approach 2:
The computational model allows easy modification of parameters such as flow rates, boundary conditions, and geometric dimensions. This enables the study of different operational conditions and extrapolation to scenarios not tested experimentally, enhancing versatility while maintaining qualitative insights.
Data Source
AI summary
Disclosed is a computerized process and system for modeling aeraulic flows in an environment in particular for the evaluation of the risks of airborne contamination. The principle of the process consists in considering that in a given individual unit or mesh, defined as fairly small, the final values of the primitive variables (V, P, T) are the result of their primary values calculated in an irrotational field composed of a “pressure-velocity” coupling with a turbulence model adapted to Newtonian and incompressible fluids belonging to the range of validity of the process.