AI Component Evaluation Using Design Envelopes and Load Sets
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Solution Overview
Problem
The design of gas turbine engine components is time-consuming and costly due to the need for detailed computational analysis of incremental changes, which can be improved to reduce overall design iteration time and cost.
Innovation Solution
A component evaluation system that utilizes a comparator model and analysis model to quickly evaluate new component designs by comparing them to stored definitions, performing detailed analysis only when necessary, and incorporating machine learning for efficient evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If detailed computational analysis is performed for every component design evaluation, then evaluation accuracy and reliability are improved, but evaluation time and computational cost increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-computing and storing design envelopes and load sets for historical component definitions before new evaluations are needed. This allows rapid comparison against pre-prepared data structures during new component evaluation, avoiding redundant full computational analyses.
Solution Approach 2:
The system creates simplified representations (copies) of component designs in the form of design envelopes and load sets that capture essential geometric and loading characteristics. These copies are stored and reused for rapid comparison, allowing evaluation of new components against historical data without performing complete re-analyses.
2Manufacturing precision
If full computational analysis is performed for incremental design changes, then evaluation thoroughness is improved, but computational resources and time expenditure increase
Solution Approach 1:
The system applies partial action by performing only the necessary comparison operations against pre-computed design envelopes and load sets for incremental changes, rather than executing full computational analyses. This selective approach maintains sufficient evaluation thoroughness for design validation while significantly reducing computational resource expenditure.
Solution Approach 2:
The system introduces intermediary data structures (design envelopes and load sets) that mediate between new component definitions and historical data. These intermediaries enable rapid comparison and evaluation without requiring direct execution of full computational models for every change, thus improving design iteration speed.
3Productivity
If historical component definitions are stored and compared, then evaluation efficiency is improved, but data storage and management complexity increase
Solution Approach 1:
The system extracts and isolates essential evaluation criteria from complex component definitions, separating geometric parameters into design envelopes and loading conditions into load sets. This extraction creates simplified, manageable data structures that can be efficiently stored and compared, reducing data management complexity while maintaining evaluation efficiency.
Data Source
AI summary
A method and system for evaluating a component includes receiving a component definition that includes component geometry and one or more of a boundary condition set and a load set. A comparator model compares component geometry to one or more design envelopes, and compares load sets to one or more prior load sets, each from a database of stored component definitions. Based on the comparison, an analysis model forms a detailed analysis or an iterative analysis to produce a result set. A result module generates an evaluation disposition of the component definition based on the result set.