Composite Panel Mass Optimization via Discrete Ply Iteration
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Solution Overview
Problem
Optimizing the structure of composite panels to minimize mass while maintaining structural performance and compliance with industrial production rules is a complex task due to the numerous variables and constraints involved, particularly in aeronautical structures, where calculation time and convergence issues hinder existing optimization methods.
Innovation Solution
A multi-step optimization method that iteratively adjusts design parameters using discrete and continuous variables processes to define an optimal lay-up table for each uniform thickness zone, ensuring ply continuity and compliance with industrial rules, which includes determining idealistic proportions, optimizing lay-up tables for buckling resistance, and adjusting the number of plies to minimize panel mass.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a Genetic Algorithm is used to optimize the composite panel structure, then the structural performance (stiffness, buckling resistance) is improved, but the calculation time increases significantly
Solution Approach 1:
The patent divides the composite panel into multiple uniform thickness zones, each with its own lay-up sequence. This segmentation allows the optimization problem to be broken down into smaller, more manageable sub-problems that can be solved more efficiently while still achieving overall structural optimization.
Solution Approach 2:
The patent introduces a dynamic optimization approach where the lay-up sequence is adjusted iteratively based on performance feedback. The optimization process dynamically modifies the ply arrangement in each zone to improve structural performance while monitoring calculation time to prevent excessive computational burden.
2Weight of moving object
If the number of plies and their positioning order are optimized to minimize mass, then the panel mass is reduced, but the manufacturing complexity increases
Solution Approach 1:
The patent applies different lay-up sequences to different zones of the panel based on local structural requirements. Each uniform thickness zone can have a customized ply arrangement optimized for its specific load conditions, allowing mass reduction in critical areas while maintaining simpler configurations in less critical zones.
Solution Approach 2:
The optimization process systematically varies key parameters including the number of plies, their orientation angles, and their vertical positioning order. By changing these parameters in a controlled manner across different zones, the patent achieves mass minimization while maintaining manufacturability through structured parameter optimization.
3Reliability
If ply continuity is enforced between adjacent zones, then the structural integrity is improved, but the design flexibility is reduced
Solution Approach 1:
The patent establishes preliminary guidelines for ply continuity at zone interfaces before finalizing the lay-up sequences. By pre-defining continuity requirements and integrating them into the optimization constraints, the method ensures structural integrity is maintained while still allowing flexibility in the internal arrangement of plies within each zone.
Data Source
AI summary
A method for optimizing the mass of a composite panel composed of a plurality of uniform thickness zones, each zone defined by a vertical arrangement of plies, each arrangement having a different number of piles, and different orientation angles, where a positioning order of the plies has a given orientation angle with respect to the others in the vertical arrangement, and the proportion of plies has a given orientation angle with respect to all the plies composing the vertical arrangement. The optimization includes defining a lay-up table, and defining a vertical arrangement of plies for each uniform thickness zone, and starting from the lay-up table, building a function describing the physical properties of each zone as a function of the total thickness of each zone, where the total thickness for each zone is adjusted using a discrete variables iteration process, until the mass of the panel is a minimum.