Virtual Prototyping System for Medical Device Design Iteration
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Solution Overview
Problem
The medical device design process is slow and tedious, often resulting in device failures due to inefficiencies in prototyping, verification, and refinement, which can impact patient care and health outcomes.
Innovation Solution
A system and method for virtual prototyping, design, and verification that combines interactive supercomputing, 3D data visualization, and human-computer interfaces, enabling real-time calculations and simulations using finite element analysis and computational fluid dynamics, with a user-friendly interface for manipulating device configurations and performance parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional medical device design processes are used, then device reliability can be improved through thorough testing, but the design process becomes slow and tedious
Solution Approach 1:
The patent applies preliminary action by performing virtual prototyping and simulations before physical manufacturing. Multiple design iterations are tested in silico using finite element analysis and computational fluid dynamics, allowing thorough validation of device reliability concepts before committing to physical prototypes. This preliminary virtual testing maintains reliability assessment while reducing overall design time.
Solution Approach 2:
The patent creates virtual copies of medical devices through detailed 3D modeling and digital twins. These digital replicas replicate physical device behavior and can be tested extensively without physical constraints. The virtual models allow repeated testing and refinement, maintaining reliability validation while eliminating the time-consuming cycle of building and testing physical prototypes.
2Reliability
If multiple design iterations are tested physically, then device performance can be validated, but resource consumption and time requirements increase
Solution Approach 1:
The patent replaces mechanical physical testing systems with computational simulation systems. Finite element analysis, computational fluid dynamics, and other physics-based simulations substitute for physical prototypes and testing apparatus. This substitution maintains rigorous performance validation capability while dramatically improving design iteration efficiency by eliminating manufacturing, shipping, and setup time for physical tests.
Solution Approach 2:
The patent creates a universal virtual testing platform that can evaluate multiple device designs and configurations within a single computational environment. The simulation framework serves multiple functions including structural analysis, fluid dynamics, thermal analysis, and biomechanical testing all through software. This multi-functional approach allows comprehensive performance validation without requiring separate physical test setups for each evaluation type.
3Adaptability or versatility
If detailed simulations are performed in real-time, then design flexibility is improved, but computational resources and processing time are heavily demanded
Solution Approach 1:
The patent implements dynamic simulation approaches that adjust computational complexity based on design stage and user interaction. During early conceptual design, simplified models provide rapid feedback for exploring design flexibility. As designs mature, more detailed simulations are applied selectively to critical components. The system dynamically allocates computational resources, maintaining high design flexibility while managing processing demands through adaptive model fidelity.
Solution Approach 2:
The patent segments the medical device model into distinct functional components and analysis regions. Each segment can be simulated at different levels of detail independently. Critical high-stress regions receive detailed mesh refinement and advanced physics modeling, while non-critical areas use coarser models. This segmentation allows detailed simulations of only necessary portions, maintaining design flexibility for critical components while reducing overall computational power requirements.
Data Source
AI summary
A system includes a user interface, a processor, and a memory. The user interface is configured to receive a user input and is configured to depict a first graphical representation of a device having a first configuration corresponding to a first simulation. The processor, coupled to the user interface, is configured to select a second simulation from a plurality of discrete simulations. The second simulation corresponds to the user input. The memory, coupled to the processor, is configured to store the plurality of discrete simulations. Each simulation includes device design parameters and corresponding performance parameters. The plurality of discrete simulations includes the first simulation and includes the second simulation. The processor is configured to generate a second graphical representation of the device having a second configuration and configured to depict the second graphical representation using the user interface. The second configuration is determined using the second simulation.


