3D Fluid Modeling Environment for Prototype Design Optimization
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Solution Overview
Problem
Conventional fluid system design relies heavily on human interpretation of two-dimensional data, leading to costly, redundant, and burdensome processes in determining the impact of fluids on device or product design, with limitations in accuracy and efficiency.
Innovation Solution
A system comprising a modeling component, machine learning component, and graphical user interface that generates three-dimensional models of mechanical devices, predicts characteristics, and optimizes design through probabilistic simulations, reducing reliance on human trial and error by rendering physics modeling data dynamically within a 3D design environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human interpretation of 2D data and multiple fluid model tools are used to determine fluid impact, then design analysis can be performed, but the process becomes burdensome with respect to cost, redundancy, and maintenance
Solution Approach 1:
The patent combines multiple fluid model tools (computational fluid dynamics, experimental fluid dynamics, analytical fluid dynamics) into a single integrated system that automatically performs design analysis. This merging eliminates the need for separate human interpretation steps and multiple standalone tools, reducing process complexity while maintaining comprehensive fluid impact analysis capabilities.
Solution Approach 2:
The system performs automatic design analysis without requiring human interpretation of 2D data. The integrated fluid modeling system self-executes the analysis processes, generates results, and provides design recommendations autonomously, eliminating the burdensome manual workflow while maintaining high measurement precision.
2Adaptability or versatility
If human trial and error is employed to analyze fluid flow impact, then design adjustments can be made, but the process becomes costly and time-consuming
Solution Approach 1:
The system performs preliminary computational analysis and generates design recommendations before physical prototyping or manufacturing. By using integrated fluid modeling to predict performance outcomes in advance, the system enables design adjustments to be made virtually and iteratively without requiring repeated physical trials, significantly reducing time loss while maintaining adaptability.
Solution Approach 2:
The patent replaces manual human trial-and-error processes with automated computational fluid dynamics and analytical modeling. This substitution eliminates the need for repeated physical prototyping and manual analysis cycles, enabling rapid design iteration through virtual simulations while maintaining full design adjustment capability.
3Loss of information
If 2D data analysis is used to represent fluid flow characteristics, then fluid impact can be visualized, but the representation lacks the comprehensive spatial understanding provided by 3D modeling
Solution Approach 1:
The system transitions from traditional 2D data representation to comprehensive 3D fluid modeling while integrating all fluid dynamics disciplines. This dimensionality change preserves complete spatial information about fluid flow, pressure distributions, and thermal characteristics throughout the entire device geometry, enabling accurate fluid impact analysis without excessive complexity through automated processing.
Data Source
AI summary
Techniques that facilitate optimization of prototype and machine design within a three-dimensional fluid modeling environment are presented. For example, a system includes a modeling component, a machine learning component, and a graphical user interface component. The modeling component generates three-dimensional model of a mechanical device based on a library of stored data elements. The machine learning component predicts one or more characteristics of the mechanical device based on a first machine learning process associated with the three-dimensional model. The machine learning component also generates physics modeling data of the mechanical device based on the one or more characteristics of the mechanical device. The graphical user interface component provides, via a graphical user interface, a three-dimensional design environment associated with the three-dimensional model and a probabilistic simulation environment associated with optimization of the three-dimensional model.