Digital Twin Acoustic Modeling for Dynamic Multi-Physics Simulation
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Solution Overview
Problem
Traditional digital simulation techniques for acoustic devices are limited by fixed input parameters, separate physical domain simulations, and inability to predict behavior throughout the product lifecycle, necessitating multiple design validations.
Innovation Solution
An acoustic device simulation system with a digital twin acoustic robot that integrates multiple data sources, simulates multiple physical domains, and conducts predictive analysis using a digital twin virtual three-dimensional model, allowing dynamic simulation conditions and real-time updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional digital simulation techniques are used with fixed input parameters, then the simulation process is simple and quick, but the simulation cannot dynamically reflect changes in actual operating environments and lacks predictive accuracy
Solution Approach 1:
The patent implements dynamic simulation by enabling the simulation system to adaptively adjust input parameters based on real-time operational data from actual devices. The simulation model transitions from static fixed parameters to dynamic parameters that continuously evolve with operating conditions, allowing the system to reflect changes in actual environments and improve predictive accuracy throughout the product lifecycle.
Solution Approach 2:
The patent establishes a feedback mechanism where operational data from physical devices is continuously imported into the simulation system, and simulation results are fed back to update and optimize the digital twin model. This closed-loop feedback enables the simulation to learn from actual device performance, continuously improving predictive accuracy while maintaining system manageability through iterative optimization.
2Measurement precision
If separate simulations are conducted for different physical domains, then each simulation can be specialized and accurate, but it is difficult to comprehensively consider the interactions between various factors
Solution Approach 1:
The patent merges multiple separate physical domain simulations (structural, thermal, fluid, electromagnetic, etc.) into a unified multi-physics simulation system. The digital twin model integrates all these domains simultaneously, enabling comprehensive analysis of interactions between different physical factors while maintaining the specialized accuracy of each domain through coupled simulation equations and shared boundary conditions.
Solution Approach 2:
The patent creates a universal simulation platform that can handle multiple physical domains through a single integrated digital twin model. The system is designed to be multi-functional, capable of simulating various physical phenomena and their interactions within a unified framework, thereby improving adaptability while maintaining domain-specific precision through modular domain solvers.
3Productivity
If traditional digital simulation is used for design verification only, then the design process is efficient, but the ability to predict behavior throughout the entire product lifecycle is limited
Solution Approach 1:
The patent extends simulation capability from design verification to preliminary predictive analysis throughout the entire product lifecycle. The digital twin model enables virtual testing and prediction of device behavior during operation, maintenance, and retirement phases before actual physical events occur, allowing proactive optimization and extended productivity benefits beyond the design stage.
Solution Approach 2:
The patent establishes continuous simulation capability that spans the entire product lifecycle from design through operation to retirement. The digital twin maintains continuous operation, continuously importing operational data and providing ongoing predictive analysis, thereby extending the useful action of simulation from discrete design verification events to continuous lifecycle monitoring and optimization.
4Reliability
If multiple design of experiment validations are required after digital simulation, then design robustness is improved, but time and resources are consumed
Solution Approach 1:
The patent creates a high-fidelity digital copy (digital twin) of the physical device that accurately replicates its behavior and performance characteristics. This virtual copy enables comprehensive validation and testing in the digital domain, reducing the need for multiple physical prototypes and experimental validations, thereby maintaining design robustness while significantly reducing validation time and resource consumption.
Solution Approach 2:
The patent leverages the digital twin's ability to rapidly change and test multiple parameters and design configurations without physical rework. By systematically varying design parameters in the virtual model and observing outcomes, the system achieves thorough design validation and robustness testing much faster than traditional experimental methods, reducing loss of time while maintaining reliability.
Data Source
AI summary
An acoustic device simulation system with digital twin acoustic robot comprising: a computing device and a simulation program which can be executed by the computing device to cause the computing device to perform operations comprising the following steps: receiving data from a physical system to create an acoustic computer-assisted engineering model; importing data from the operation of the physical system into the acoustic computer-assisted engineering model, and generating a digital twin virtual three-dimensional model; running a physical simulation through the digital twin virtual three-dimensional model; and modifying or replacing the simulation conditions of the digital twin virtual three-dimensional model in order to obtain simulation results under different conditions.