Virtual Stress Testing for Machine Component Fatigue Assessment
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Solution Overview
Problem
Testing machines with multiple components under real-world conditions requires significant resources and is inefficient, as existing methods often necessitate numerous physical tests.
Innovation Solution
A computer-implemented method using a model to simulate stress factors on machines or components, selecting subsets of input variables to map stress distributions, and determining component-specific damage, such as fatigue, without the need for physical prototypes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical prototypes and real-world tests are conducted to test machine components, then measurement precision and reliability are improved, but resource consumption and time requirements increase significantly
Solution Approach 1:
The patent creates virtual copies of physical prototypes through digital models that replicate the mechanical behavior and stress characteristics of actual components. These digital twins allow comprehensive testing of stress scenarios without requiring physical prototypes, maintaining measurement precision while eliminating the time and resource costs of physical testing.
Solution Approach 2:
The patent performs preliminary virtual testing and stress analysis on digital models before any physical prototyping or real-world testing occurs. By pre-assessing stress distributions and identifying critical failure points in the virtual domain, the method eliminates the need for extensive iterative physical testing, significantly reducing time loss while maintaining assessment accuracy.
2Reliability
If multiple physical prototypes are tested under various real-world conditions to determine component stress, then reliability and coverage of stress scenarios are improved, but resource consumption and cost increase
Solution Approach 1:
The patent develops a universal digital modeling framework that can assess stress for different machine components and configurations using the same virtual testing platform. This multi-functional approach allows a single resource (the digital model system) to perform what would otherwise require multiple specialized physical testing setups, maintaining reliability across diverse scenarios while reducing overall resource consumption.
Solution Approach 2:
The patent changes the fundamental parameters of testing by transitioning from physical to virtual domain, where stress scenarios can be modified by adjusting digital parameters rather than physically reconfiguring prototypes. This allows comprehensive coverage of multiple stress conditions using computational parameter variations instead of physical test variations, reducing resource loss while maintaining assessment reliability.
3Measurement precision
If extensive real-world testing is conducted to evaluate machine behavior under different stress factors, then accuracy of damage assessment is improved, but device complexity and operational requirements increase
Solution Approach 1:
The patent replaces the mechanical testing system (physical prototypes, test rigs, and real-world operating conditions) with a computational mechanics system based on digital models and virtual stress analysis. This substitution maintains damage assessment accuracy by using physics-based computational methods while eliminating the complexity of setting up and managing complex physical testing infrastructure.
Data Source
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AI summary
The invention relates to a device and a method – in particular a computer-implemented method – for testing a machine having a plurality of components or for testing a component of a machine, said method comprising: providing (202) a set of input variables for a model, the set of input variables characterising load factors on the machine or characterising load factors on at least one component of the machine; selecting (204) a subset of the set; mapping (206) – by the model – the subset to an output variable of the model which characterises a stress caused by the load factors in the case of at least one component of the machine; and preferably determining (208) a degree of damage, in particular a degree of fatigue, of the at least one component according to a set of output variables which contains the output variable.