3D Model Modification for Physical Object Interface
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Solution Overview
Problem
Existing rapid prototyping methods face challenges in customizing 3D models to accurately interface with specific physical objects, often resulting in suboptimal fits due to the use of generic models that do not account for the unique dimensions and characteristics of the target object.
Innovation Solution
A method that involves receiving a 3D model, gathering information about a physical object, identifying abutments and constraints, and modifying the 3D model to interface correctly with the physical object, using techniques such as neural networking and machine learning to adjust the model's shape, size, and material properties for precise fitting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generic 3D models are used for rapid prototyping, then manufacturing speed is improved, but manufacturing precision deteriorates due to suboptimal fits with specific physical objects
Solution Approach 1:
The system modifies the 3D model by adjusting geometric parameters (shape, size, dimensions) based on measured characteristics of the physical object. The processor changes model parameters to optimize the interface between the 3D physical part and the physical object, achieving both speed and precision.
Solution Approach 2:
The system dynamically adapts the 3D model based on real-time or pre-stored measurements of the physical object. The model is not static but is modified according to the specific characteristics of each physical object, enabling customized fits while maintaining rapid manufacturing.
2Manufacturing precision
If 3D models are modified to interface with specific physical objects, then manufacturing precision is improved, but device complexity increases due to additional processing steps
Solution Approach 1:
The system uses a digital copy or measurement representation of the physical object to guide the 3D model modification. Instead of directly manipulating the physical object, the system works with a digital replica obtained through measurement, simplifying the complexity of the modification process.
Solution Approach 2:
The system introduces an intermediary measurement data structure that bridges the physical object and the 3D model. This intermediary representation (containing dimensional information and interface characteristics) facilitates the modification process without requiring direct complex interaction between the model and physical object.
3Manufacturing precision
If measurements of physical objects are collected and processed, then manufacturing precision is improved, but loss of time increases due to data collection and processing requirements
Solution Approach 1:
The system performs preliminary measurement and data processing before the actual manufacturing process. By pre-collecting and pre-processing the physical object characteristics, the system prepares the necessary information in advance, reducing time during the main manufacturing operation.
Solution Approach 2:
The system automatically performs measurement and data processing without requiring manual intervention. The automated collection and processing of physical object characteristics eliminates time-consuming manual measurement steps while maintaining high precision.
Data Source
AI summary
A 3D model modification system may receive a 3D model and information on a physical object. The 3D model modification system may modify the 3D model to interface with the physical object and manufacture the 3D model into a 3D physical part.