Computational Eye Model for Contact Lens Stability
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Solution Overview
Problem
Current methods for designing contact lenses are laborious, time-consuming, and expensive, as they require iterative design, manufacturing, and clinical testing due to unpredictable on-eye performance, lacking a comprehensive understanding of eye dynamics and lens interactions.
Innovation Solution
A computational eye model that simulates the torques and forces acting on contact lenses during eye movement, allowing for the design and testing of lens designs to achieve stability and optimal performance by balancing moment of momentum, with software implementation to predict and improve lens rotation, centration, and decentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iterative design, manufacturing and clinical testing is performed to achieve acceptable on-eye performance, then lens performance reliability is improved, but development time and cost increase significantly
Solution Approach 1:
The patent applies preliminary action by performing computational simulations of eye-lens interactions before actual manufacturing and clinical testing. The model predicts lens behavior, stability, and performance characteristics in advance, allowing designers to identify and correct issues virtually before committing to physical production and patient trials, thereby reducing iterative cycles and development time while maintaining performance reliability
2Measurement precision
If comprehensive eye dynamics modeling is implemented to predict lens behavior, then design accuracy is improved, but computational complexity and model development resources increase
Solution Approach 1:
The patent applies segmentation by dividing the complex eye-lens system into distinct functional components: the contact lens with its specific geometry and material properties, the tear film layer, the corneal surface, and the eyelid dynamics. Each component is modeled separately with appropriate physical equations, and their interactions are computed through coupled boundary conditions. This modular approach enables accurate prediction of lens behavior while managing computational complexity through structured problem decomposition
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 significantly reduces the design and testing cycle by simulating lens behavior on the eye, enabling the creation of stabilized lenses with improved on-eye performance through iterative design modifications, thus enhancing the efficiency and accuracy of contact lens development.
Implementation Method 1
the eye model acts by balancing the moment of momentum of torques acting on the lens on-eye
Data Source
AI summary
A model for testing contact lens designs is used in applications such as methods for designing contact lenses in which one subjects a lens design to the model, determines whether the lens meets its design objectives by application of the model, keeps the lens design if it does, and modifies the lens design if it does not.