3D Model Generation via X-ray Spectroscopy and CT Scanning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current 3D printing technologies struggle to accurately recreate the physical properties of original objects, such as composition and structural attributes, in reproductions, especially when dealing with complex objects made of multiple materials, leading to imperfections and the need for separate assembly or redesign.
Innovation Solution
The use of X-ray spectroscopic techniques to identify the composition and structural features of objects, generating detailed 3D models that include both physical attributes and chemical composition data, allowing for the creation of reproductions with precise material properties using 3D printers capable of multi-material printing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional 3D printing technologies are used to recreate objects, then the basic shape can be reproduced, but the physical properties (composition and structural attributes) cannot be accurately recreated
Solution Approach 1:
The system performs preliminary analysis of the original object's composition and structure using X-ray spectroscopy and CT scanning before the 3D printing process. This preliminary action captures the physical properties data that would otherwise be lost, enabling accurate reproduction of material characteristics along with geometric shape in the final reproduction
Solution Approach 2:
The patent introduces an intermediary system comprising X-ray spectrometer, CT scanner, and data processing unit that acts as a mediator between the original object and the 3D printer. This intermediary captures and translates the physical properties (composition and structure) into digital data that can be stored in the 3D model and used to guide the reproduction process with accurate material properties
2Productivity
If 3D printing is used for complex objects made of multiple materials, then production efficiency improves, but accuracy of material composition and structural attributes deteriorates
Solution Approach 1:
The system applies local quality by analyzing and reproducing different material properties at different locations within the object. The X-ray spectroscopy and CT scanning identify specific composition and structural characteristics of each region, and the 3D printer uses this location-specific data to reproduce the appropriate material properties in each corresponding area of the reproduction
Solution Approach 2:
The patent utilizes composite materials capability in multi-material 3D printers to accurately reproduce objects composed of multiple different materials. The system identifies the various material compositions present in the original object and directs the 3D printer to use corresponding materials for each region, maintaining the complexity and accuracy of the original multi-material structure
3Manufacturing precision
If detailed analysis of object composition is performed, then reproduction accuracy improves, but system complexity and measurement difficulty increase
Solution Approach 1:
The system achieves universality by using X-ray based technology that can perform multiple functions: X-ray spectroscopy for compositional analysis and X-ray CT scanning for structural analysis. This multi-functional approach allows detailed analysis of both material composition and internal structure using a unified technological platform, reducing overall system complexity while maintaining high reproduction accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the creation of accurate reproductions that share not only the shape but also the physical properties of the original objects, including multiple materials, reducing imperfections and assembly requirements, and facilitating virtual simulations.
Implementation Method 1
analyzing a composition of a first portion of an object using an X-ray spectrometer
Implementation Method 2
analyzing a structure of a first portion of an object using a CT scanner
Data Source
AI summary
Examples associated with three-dimensional model generation are disclosed. One example includes analyzing a structure of a first component of an object. The composition of the first component of the object is also analyzed. A three-dimensional model of the object is then generated. The three-dimensional model includes data based on the structure of the first component of the object and data based on the composition of the first component of the object.