3D-Printed Vehicle Structure Design for Multi-Criteria Optimization
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Solution Overview
Problem
Current methods for designing larger-scale vehicle assemblies, such as chassis and entire vehicles, are inefficient due to the stovepipe approach, which leads to competition between teams analyzing different criteria like aerodynamics, durability, and ergonomics, resulting in suboptimal designs as the number of criteria increases.
Innovation Solution
An integrated design optimization system that includes a printer and multiple analysis components analyzing different factors, with an integrator updating the design model based on their inputs and determining printing instructions, allowing for customization and automation of the design process for 3-D printed structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple analysis components analyze different criteria (aerodynamics, durability, ergonomics) separately, then each analysis can be performed with specialized focus, but the design process becomes inefficient and leads to suboptimal designs due to competition between teams
Solution Approach 1:
The patent merges multiple separate analysis components (aerodynamics, durability, ergonomics) into a single integrated design optimization system. The integrator coordinates all analysis components to work on a unified design model simultaneously, eliminating team competition and improving overall design efficiency while maintaining specialized analysis capabilities through the modular analysis component architecture.
Solution Approach 2:
The integrator serves as a universal coordinating component that manages multiple analysis components with different specialized functions. It receives inputs from various analysis components, updates the design model, and distributes updated information to all relevant analysis components, enabling the system to handle diverse analysis types through a single multi-functional platform.
2Measurement precision
If the design process is customized for each specific criteria, then analysis accuracy improves, but the complexity of managing multiple separate processes increases
Solution Approach 1:
The system segments the design optimization process into distinct modular analysis components (aerodynamics analysis, durability analysis, ergonomics analysis), each handling specific criteria with specialized algorithms. This segmentation allows each component to maintain high analysis accuracy while the integrator manages coordination, reducing overall process complexity through modular organization.
Solution Approach 2:
The integrator acts as an intermediary component that mediates between multiple specialized analysis components. It receives results from each analysis component, updates the design model accordingly, and distributes updated information to relevant components, simplifying the management of multiple specialized processes through a single coordinating interface.
3Reliability
If iterative refinement is performed to satisfy multiple criteria, then design quality improves, but the time required for design completion increases
Solution Approach 1:
The integrated design optimization system enables continuous iterative refinement by maintaining an always-updated design model that all analysis components can access. The integrator continuously coordinates updates across all components based on analysis results, ensuring that each iteration builds on previous improvements without idle time, thereby reducing total design time while maintaining high quality through multiple refinement cycles.
Solution Approach 2:
The system implements continuous feedback loops where analysis components evaluate the design model and provide results to the integrator, which then updates the model and redistributes information. This feedback mechanism ensures that design quality improves with each iteration while the automated coordination minimizes manual intervention time, balancing quality improvement with time efficiency.
Data Source
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AI summary
Systems and methods for additive manufacturing of vehicles are provided. An additive manufacturing apparatus can include a printer that additively manufactures structures for a vehicle, and multiple analysis components. Each analysis component can receive information based on a design model of the vehicle and analyze the information based on an analysis factor. Each analysis component analyzes the information based on a different analysis factor. An integrator can receives the analyzed information from the analysis components, update the design model based on the analyzed information, and determine whether the updated design model satisfies criteria. If the updated design model satisfies the criteria, the integrator determines printing instructions for the printer to print one or more structures of the vehicle based on the updated design model, and if the updated design model does not satisfy the criteria, the integrator sends information based on the updated design model to the analysis components.