Dual Model Shape Synthesis for Topology Optimization
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Solution Overview
Problem
Current computer-aided design (CAD) systems face challenges in optimizing the topology of physical structures, particularly in manufacturing processes, as they often require predefined shape-types and constraints that are difficult to enforce, especially for complex structures like networks of beams, which can lead to inefficiencies in material usage and manufacturability.
Innovation Solution
The implementation of dual model shape synthesis methods that iteratively modify three-dimensional shapes within a design space to conform to predefined shape-type requirements, such as networks of beams, using graph extraction and penalization techniques to ensure manufacturability, while co-evolving different geometric representations like boundary-based and continuum models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If topology optimization is performed using traditional CAD systems with predefined shape-type requirements, then manufacturing constraints can be enforced, but the design flexibility and optimization quality deteriorate due to difficulty in enforcing complex shape constraints
Solution Approach 1:
The patent introduces an intermediary representation system that translates between traditional CAD boundary representations and topology optimization density-based representations. This intermediary layer enables complex shape constraints (like beam networks) to be enforced during optimization without limiting the exploration of diverse topological configurations, thus maintaining both manufacturability and design flexibility.
Solution Approach 2:
The patent dynamically adjusts optimization parameters and constraint weights during the topology optimization process based on the evolving geometry. By changing parameters adaptively rather than fixing them beforehand, the system can enforce complex shape-type requirements while still allowing significant design exploration and optimization quality improvement.
2Quantity of substance
If traditional CAD systems are used for topology optimization, then existing software can be utilized, but material distribution optimization deteriorates due to inability to effectively enforce shape constraints
Solution Approach 1:
The patent implements a feedback mechanism where the current geometry is continuously evaluated against shape-type requirements during optimization iterations. The enforcement strength and constraint parameters are adjusted based on how well the current design meets the shape requirements, enabling effective material distribution optimization while maintaining manufacturing precision for complex structures.
3Ease of manufacture
If complex shape-type requirements are enforced in traditional CAD systems, then manufacturability improves, but optimization process time increases due to iterative constraint checking
Solution Approach 1:
The patent performs preliminary actions by pre-processing the design domain and pre-defining shape-type requirement templates before the main optimization process. This preliminary setup reduces the computational burden during iterative optimization by having constraint definitions ready, thus maintaining manufacturability enforcement while reducing overall optimization process time.
Data Source
AI summary
Methods, systems, and apparatus, including medium-encoded computer program products include: obtaining a design space for a modeled object, for which a corresponding physical structure is to be manufactured, and one or more design criteria for the modeled object; iteratively modifying a first three-dimensional shape of the modeled object in the design space in accordance with the one or more design criteria, the iteratively modifying includes forming a second three-dimensional shape of the modeled object based on the first three-dimensional shape of the modeled object, where the second three-dimensional shape conforms to a predefined shape-type requirement, and penalizing modifications of the first three-dimensional shape that deviate from the second three-dimensional shape; and providing the first or second three dimensional shape of the modeled object for use in manufacturing the physical structure using one or more computer-controlled manufacturing systems.