Fluid Domain Initial Design Generation for Faster Optimization
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Solution Overview
Problem
Existing CAD systems struggle with efficiently optimizing the shape and topology of fluid domains for manufacturing, particularly in fluid systems, as they often require numerous iterations and high computational resources without achieving optimal designs for pressure drop or energy dissipation.
Innovation Solution
A method involving laminar fluid flow simulation to generate an initial shape for the fluid domain, followed by iterative shape synthesis that modifies the geometry and topology based on design criteria, reducing the need for initial user-provided shapes and minimizing computational costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional CAD systems perform iterative shape synthesis for fluid domain optimization, then design quality improves, but computational cost and processing time increase significantly
Solution Approach 1:
The patent performs a preliminary laminar flow simulation to generate an initial shape that approximates the optimized design before initiating the iterative shape synthesis process. This preliminary action provides a head start to the optimization algorithm, reducing the number of iterations needed to achieve convergence and thereby lowering computational cost while maintaining design quality.
Solution Approach 2:
The patent changes the flow regime parameter from turbulent to laminar for the initial simulation, and dynamically adjusts the viscosity parameter during the process based on Reynolds number calculations. These parameter changes enable the system to achieve better initial shapes with fewer computational resources, resolving the contradiction between design quality and computational cost.
2Manufacturing precision
If traditional CAD systems perform iterative shape synthesis with turbulent flow simulation, then design optimization improves, but convergence speed decreases
Solution Approach 1:
The system performs a preliminary laminar flow simulation to generate an initial shape that is already close to the optimal design. This preliminary action eliminates the need for the iterative process to start from a basic geometric shape, significantly accelerating convergence speed while maintaining design optimization quality.
Solution Approach 2:
The patent dynamically changes the viscosity parameter based on Reynolds number calculations during the iterative process. By adjusting this parameter, the system can switch between laminar and turbulent flow regimes appropriately, enabling faster convergence while achieving the same level of design optimization.
3Ease of operation
If users provide initial shape guesses for fluid domain optimization, then the process can begin, but the quality of initial guesses varies and affects optimization results
Solution Approach 1:
The system performs automatic laminar flow simulation to generate the initial shape without requiring user input. This self-service approach eliminates the variability associated with user-provided guesses while ensuring that the optimization process always starts from a scientifically sound initial shape, improving both ease of operation and optimization results.
Solution Approach 2:
The patent uses parameter changes in the flow simulation (laminar flow regime, dynamic viscosity adjustment) to generate consistent, high-quality initial shapes automatically. This ensures that the optimization process starts from an optimal point regardless of user input quality, resolving the contradiction between ease of operation and optimization results.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach accelerates convergence and reduces processing power requirements while achieving better designs that minimize pressure drop and energy dissipation, facilitating faster and more efficient manufacturing of fluid system components.
Implementation Method 1
performing a laminar fluid flow simulation for a fluid in the modeled fluid domain, thereby producing a velocity field of the fluid in the modeled fluid domain
Data Source
AI summary
Methods, systems, and apparatus, including medium-encoded computer program products include: obtaining a design space and one or more design criteria for a modeled fluid domain; performing a laminar fluid flow simulation for a fluid in the modeled fluid domain, thereby producing a velocity field of the fluid in the modeled fluid domain; generating a first three-dimensional shape of the modeled fluid domain, wherein generating the first three-dimensional shape includes excluding from the modeled fluid domain portions with absolute values of the obtained velocity field below a threshold value; providing the first three-dimensional shape to an iterative shape synthesis process that modifies at least a shape geometry of the fluid domain in accordance with the one or more design criteria to obtain a second three-dimensional shape of the modeled fluid domain; and providing the second three-dimensional shape of the modeled fluid domain for use in manufacturing.