3D-Printed Vehicle Structures With Integrated Multi-Criteria Design
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for designing vehicles, especially larger-scale assemblies and entire vehicles, are inefficient due to the stovepipe approach, which fails to effectively integrate multiple complex and conflicting design criteria such as aerodynamics, durability, and environmental impact, leading to suboptimal designs and increased competition between analysis teams.
Innovation Solution
An integrated design optimization system that utilizes multiple analysis components to analyze various criteria simultaneously, including aerodynamics, durability, and environmental impact, and iteratively updates the design model to satisfy all criteria, allowing for customized and automated 3D printing of vehicle structures using nodes and standard structural components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple analysis components analyze different design criteria simultaneously, then design optimization efficiency is improved, but system complexity increases
Solution Approach 1:
The design optimization system is segmented into multiple independent analysis components, each responsible for a specific design criterion (aerodynamics, durability, environmental impact, etc.). This allows parallel processing of different criteria while maintaining clear separation of concerns, improving overall efficiency without creating unmanageable system complexity.
Solution Approach 2:
The integrator component serves multiple functions: it collects results from various analysis components, updates the design model, evaluates criteria satisfaction, and generates printing instructions. This multi-functional approach consolidates coordination tasks into a single universal component, improving efficiency while controlling system complexity.
2Ease of operation
If conventional stovepipe approach is used for vehicle design, then each analysis team can focus on their specific criteria, but integration of multiple conflicting criteria becomes inefficient
Solution Approach 1:
The patent merges the outputs of multiple independent analysis components into a unified design optimization process through the integrator. This combines the benefits of specialized analysis (ease of operation) with efficient integration of conflicting criteria (productivity), as the integrator coordinates all criteria satisfaction simultaneously.
Solution Approach 2:
The system implements feedback loops where the integrator evaluates whether the design model satisfies all criteria, and if not, sends updated requirements back to the analysis components for re-evaluation. This feedback mechanism ensures efficient integration of multiple conflicting criteria while maintaining clear analytical focus.
3Reliability
If design model is iteratively updated to satisfy all criteria, then design quality is improved, but processing time increases
Solution Approach 1:
The system performs preliminary analysis by having multiple analysis components evaluate different design criteria in parallel before final integration. This preliminary action reduces the need for extensive iterative updates, improving design quality while minimizing processing time loss.
Solution Approach 2:
The integrator continuously evaluates design model updates against all criteria and maintains continuous optimization progress. This continuous useful action ensures design quality improvement while reducing idle processing time through efficient coordination of updates and evaluations.
Data Source
Figure 1A
Figure 1B
Figure 1C
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.