X-ray Ionizing Radiation Control Digital Simulation
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Solution Overview
Problem
Current sterilization methods for medical devices and products using ionizing radiation often require extensive testing after product design, leading to high costs and risks of redesign due to uncertainty in sterilization outcomes, and lack efficiency in processing times.
Innovation Solution
A digital simulation system that models ionizing radiation interactions with products to predict sterilization outcomes, allowing for virtual testing during design phases and optimizing radiation distribution, packaging, and shielding designs to ensure compliance with sterilization standards while minimizing redesign and processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sterilization testing is performed only after product design is complete, then product development follows traditional sequential process, but this leads to high costs and risks of redesign due to uncertain sterilization outcomes
Solution Approach 1:
The patent applies preliminary action by performing sterilization simulation testing during the product design phase rather than after completion. The digital twin technology enables virtual sterilization validation to occur before physical product manufacturing, allowing design modifications to be made based on predicted sterilization outcomes, thereby avoiding costly redesigns and accelerating development timelines.
2Reliability
If extensive sterilization testing is performed on finished products, then sterilization compliance can be ensured, but this increases processing time and reduces manufacturing efficiency
Solution Approach 1:
The patent employs copying by creating a digital twin (virtual copy) of the physical product and its sterilization process. This digital replica allows for comprehensive sterilization validation, parameter optimization, and compliance verification in the virtual environment without requiring extensive physical testing of actual products, thereby maintaining sterilization compliance while significantly reducing processing time and increasing productivity.
3Measurement precision
If physical prototyping and testing are used to validate sterilization, then accurate real-world data can be obtained, but this increases cost and complexity of product development
Solution Approach 1:
The patent applies mechanics substitution by replacing the physical mechanical testing infrastructure with a computational simulation system. The digital twin methodology substitutes physical prototypes, sterilization chambers, and measurement devices with virtual models and algorithms that calculate radiation-matter interactions, thereby obtaining accurate sterilization data without the complexity and cost of extensive physical testing infrastructure.
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 reduces the risk of costly redesigns by providing early feedback on sterilization efficacy, streamlines product development, and enhances processing efficiency by simulating radiation interactions and dose distribution, ensuring compliance with regulatory standards.
Implementation Method 1
The radiation-matter interaction for a material of the inanimate object is calculated. The amount of energy deposited at a plurality of locations at the inanimate object is calculated.
Implementation Method 2
The physical mechanism behind sterilization with such radiation is inelastic scattering: when the incident particle (e.g. a photon, electron, etc.) interacts with the material in the product, it transfers energy to the product at the location of the interaction.
Data Source
AI summary
The present invention pertains to a method and apparatus for x-ray ionizing radiation control and ionizing radiation control. A digital representation of an inanimate object is formed. The amount of the radiation at a surface of the inanimate object is simulated. The radiation-matter interaction for a material of the inanimate object is calculated. The amount of energy deposited at a plurality of locations at the inanimate object is calculated. The digital representation of the inanimate object is modified in response to an input from a user and the modified digital representation of the inanimate object is displayed.