Simulation Model Validation Boundaries for Extended Product Designs
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Solution Overview
Problem
Existing simulation models lack the ability to reliably assess product designs that extend beyond their validation space, leading to uncertain predictions and potential safety or financial risks due to the lack of predictive confidence in unvalidated areas.
Innovation Solution
A system and method that uses a verified and validated simulation model to calculate a correlation or scaling factor based on specific design differences, enabling the assessment of product designs outside the validation space by comparing and correlating them with the simulation model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If simulation models are used to assess product designs outside their validation space, then productivity increases by reducing physical tests, but reliability deteriorates due to uncertain predictions and lack of predictive confidence
Solution Approach 1:
The system performs preliminary validation by comparing the subsequent product's design configuration against the validation space boundaries before conducting full assessment. This preliminary check ensures that only designs within or appropriately correlated to the validation space undergo simulation assessment, maintaining reliability while improving productivity.
Solution Approach 2:
A correlation factor calculation serves as an intermediary mechanism between the simulation model and product designs outside the validation space. This intermediary step quantifies the relationship between unvalidated designs and validated reference designs, enabling reliable assessment extrapolation while maintaining scientific rigor.
2Reliability
If physical tests are conducted for all product designs, then reliability improves through direct validation, but productivity decreases due to costly and time-consuming testing
Solution Approach 1:
The system applies partial physical validation by conducting physical tests only on representative samples within the validation space rather than all possible product designs. This partial action approach maintains reliability for the validated domain while dramatically improving productivity by avoiding redundant testing of designs that can be assessed through simulation and correlation.
Solution Approach 2:
The system creates virtual copies through simulation models that replicate physical product behavior. These digital twins enable comprehensive assessment of product designs without requiring physical prototypes, maintaining validation accuracy through verified simulations while eliminating the need for extensive physical testing.
3Adaptability or versatility
If simulation models are extended beyond their validation space, then adaptability increases to cover more design scenarios, but measurement precision deteriorates due to lack of validation data
Solution Approach 1:
The system changes the assessment parameters by introducing a correlation factor that quantifies the relationship between unvalidated designs and validated reference designs. This parameter transformation enables the simulation model to provide reliable predictions for designs outside the original validation space by anchoring predictions to validated reference points, thus maintaining measurement precision while expanding adaptability.
Solution Approach 2:
The system adds a new dimension to the assessment by incorporating correlation factor calculation as an intermediate step. This dimensional extension transforms the problem from direct simulation prediction to correlation-based prediction, enabling accurate assessment of designs outside the validation space by leveraging relationships in the extended parameter space.
Data Source
AI summary
Systems and methods for using a simulation model to assess compliance of a product having a design that extends beyond a validation space of the simulation model are provided. According to certain aspects, systems and methods may verify and validate a simulation model associated with a product and with a given validation space. The systems and methods may assess compliance, with a standard, of a product that extends beyond the validation space by calculating a correlation factor based on characteristics product designs, and using the correlation factor with the verified and validated simulation model.