CAD System for Composite Object Assembly Risk Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current CAD systems face challenges in evaluating assembly risks between components of composite objects, leading to increased development costs due to compatibility issues, difficulty in measuring large components, and destructive assembly/disassembly processes.
Innovation Solution
A computer-aided design system that processes digital data of components by representing them as triangular pieces, classifying surfaces, calculating distances, and determining assembly risks through Intersection over Union analysis and tolerance thresholds to output assembly risk results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical molding and assembly are performed to evaluate component compatibility, then assembly risk can be assessed, but development costs increase significantly
Solution Approach 1:
The patent creates virtual copies of physical components through 3D scanning and point cloud processing. These digital replicas allow for virtual assembly simulation and compatibility assessment without requiring physical prototypes, thereby reducing development costs while maintaining assessment reliability
Solution Approach 2:
The patent replaces the mechanical physical assembly process with a computational virtual assembly system. By using point cloud data registration, surface reconstruction, and automated geometric constraint checking, the system substitutes hands-on physical assembly with automated digital evaluation, reducing both cost and time
2Measurement precision
If large-sized components are measured manually with many surface ball markers, then measurement accuracy can be achieved, but measurement time increases significantly
Solution Approach 1:
The patent performs preliminary 3D scanning to capture complete point cloud data of large components before any detailed measurement is needed. This initial comprehensive data acquisition eliminates the need for multiple sequential measurements during different stages of the design process
Solution Approach 2:
The patent creates a digital twin (point cloud model) of the physical component that can be measured indefinitely without additional time investment. Once the point cloud is captured, unlimited measurements can be performed on the digital copy instantaneously
3Reliability
If manual disassembly and assembly processes are performed to verify composite object requirements, then assembly compatibility can be confirmed, but component damage occurs
Solution Approach 1:
The patent uses digital copies (point cloud models and reconstructed surfaces) to perform virtual assembly verification. The digital models undergo the same assembly checks that physical components would experience, but without any risk of damage to the actual components
Solution Approach 2:
The patent introduces point cloud data and virtual reality models as intermediaries between the designer and the physical components. These intermediaries allow for complete verification of assembly compatibility without direct physical manipulation of the actual components
4Manufacturing precision
If the composite object exceeds size requirements after assembly, then component individual dimensions are correct, but overall assembly compatibility is poor
Solution Approach 1:
The patent merges individual component point cloud models into a complete composite object model, allowing for holistic assessment of assembly compatibility. This combination enables verification of both individual component precision and overall assembly fit simultaneously
Solution Approach 2:
The patent transitions from two-dimensional CAD drawings to three-dimensional point cloud models and virtual reality representations. This dimensional enhancement allows for accurate assessment of spatial relationships and assembly compatibility that cannot be captured in traditional 2D drawings
Data Source
AI summary
A processor of a computer-aided design system reads and executes a software stored in a memory to input first digital data of a first component of the composite object, input second digital data of a second component of the composite object, analyze the first digital data and the second digital data with first criterion to obtain a plurality of first surfaces and a plurality of second surfaces respectively, calculate a distance between one of the plurality of the first surfaces and one of the plurality of the second surfaces, and output a first result when the distance is greater than or equal to the first threshold; otherwise, output a second result.