Corrosion Prediction Using Node-Based Time and Surface Factors
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Solution Overview
Problem
Existing methods for determining corrosion of objects are computationally expensive, time-consuming, and lack accuracy in predicting time-dependent and position-dependent corrosion damage, often requiring extensive empirical testing and failing to account for environmental and physical factors until after damage occurs.
Innovation Solution
A method that determines physical and environmental factors to predict corrosion by establishing node points on an object, calculating corrosion at these points over time, and accumulating corrosion data to provide a cumulative assessment, using historical and predicted weather data, and considering surface geometry and material properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physics-based computational models are used to determine corrosion, then measurement precision is improved, but computing time increases significantly
Solution Approach 1:
The patent divides the object into a mesh of discrete elements with node points, allowing corrosion calculations to be performed independently at each node. This segmentation enables parallel processing and reduces the computational complexity of the overall system while maintaining prediction accuracy at each location.
Solution Approach 2:
The patent calculates corrosion at discrete node points rather than continuously across the entire object surface. This partial action approach provides sufficient precision for engineering decisions without requiring exhaustive calculations at every possible location, thereby reducing total computing time while maintaining adequate measurement precision.
2Loss of time
If empirical models are used to determine corrosion, then computing time is reduced, but measurement precision deteriorates due to lack of time-dependent and position-dependent factors
Solution Approach 1:
The patent incorporates time-dependent parameters (exposure duration, temporal variations in environmental conditions) and position-dependent parameters (location-specific environmental factors, geometric features at each node point) into the corrosion model. This allows the model to adapt to specific conditions at each node and time step, significantly improving prediction accuracy compared to generic empirical models while maintaining computational efficiency through the discrete node-based approach.
3Measurement precision
If first-principles modeling is used to account for complex physics, then measurement precision is improved, but device complexity increases
Solution Approach 1:
By segmenting the object into discrete mesh elements and calculating corrosion at node points rather than solving complex partial differential equations across the continuous domain, the patent reduces model complexity while preserving the essential physics at each location. This discretization transforms a complex continuous problem into simpler discrete calculations.
Solution Approach 2:
The patent introduces an intermediary computational framework that bridges first-principles physics and practical engineering applications. The mesh-based node point calculation system acts as an intermediary that captures complex physical interactions without requiring full first-principles modeling of the entire system, thereby reducing complexity while maintaining precision.
Data Source
AI summary
Methods of determining corrosion of an object that occurs over a time period. The methods determine physical factors of the object and environmental factors that occur during the time period. Node points are determined on the object. At different times during the time period, the methods determine the corrosion of the object at the node points based on the physical factors and the environmental factors. A cumulative corrosion of the object is determined based on the corrosion determined at each of the node points at each of the times.