Digital Twin Acoustic Robot for Multi-Domain Lifecycle 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 throughout the product lifecycle, using a computing equipment and simulation program to generate and optimize a digital twin virtual three-dimensional model through machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional digital simulation techniques are used with fixed input parameters, then the simulation process is simple and straightforward, but the simulation cannot dynamically reflect changes in actual operating environments and has limited predictive capability
Solution Approach 1:
The patent implements dynamic simulation by continuously updating the digital twin model with real-time operational data from sensors and feedback systems. The simulation parameters are no longer fixed but dynamically adjusted to reflect actual operating conditions, enabling the system to adapt to environment changes while maintaining manageable complexity through automated data integration.
Solution Approach 2:
The system incorporates feedback mechanisms where simulation results are compared with actual operational data, and the digital twin model is continuously refined based on this feedback. This closed-loop approach enhances adaptability by learning from real-world performance while keeping the simulation system structured and controllable through systematic model updating protocols.
2Reliability
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 into a unified digital twin framework that simultaneously handles structural, thermal, fluid, and electromagnetic interactions. The coupled simulation approach integrates these domains through a common computational model, ensuring comprehensive consideration of factor interactions while maintaining specialized accuracy through domain-specific solvers within the unified system.
Solution Approach 2:
The digital twin system serves as a universal platform that can conduct simulations across multiple physical domains simultaneously. The multi-functional simulation engine adapts to different domain requirements while providing integrated analysis, reducing the need for separate specialized systems and enabling comprehensive multi-domain interaction analysis through a single coordinated framework.
3Productivity
If traditional digital simulation is used for design verification only, then the design process is efficient, but multiple design of experiment validation is still required
Solution Approach 1:
The patent performs preliminary comprehensive simulations using the digital twin model during the design phase, incorporating multiple physical domains and operational scenarios in advance. This preliminary action provides robust design verification that predicts real-world performance with high accuracy, reducing the need for subsequent physical validation experiments and minimizing validation time while maintaining design efficiency.
Solution Approach 2:
The system creates a high-fidelity digital copy (digital twin) of the physical system that accurately replicates its behavior across multiple domains. This virtual copy serves as a reliable surrogate for physical prototypes, enabling comprehensive validation in the virtual environment and reducing the number of physical design of experiment validations required, thus saving time while preserving design verification efficiency.
Data Source
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AI summary
A 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.