Embedding Data Structures in 3D Printed Objects
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Solution Overview
Problem
Current methods for storing and accessing metadata about 3D objects are limited by the capacity of external data codes like QR codes and RFID tags, which can be obtrusive and require expensive infrastructure, and metadata can become difficult to retrieve once the storage time limit expires.
Innovation Solution
Embedding large volumes of data directly into 3D objects by using a 3D printing device to deposit build material in layers and cure it, creating physical representations of data structures on or within the object, such as cavities or metallic particles, to store metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If QR codes or RFID tags are used to store metadata about 3D objects, then the object can be identified and linked to external data, but the data capacity is limited and additional infrastructure is required
Solution Approach 1:
The patent merges the data storage function directly into the 3D object by embedding data structures within the object's geometry during the 3D printing process. This combines the object itself with its metadata repository, eliminating the need for separate QR codes, RFID tags, or external database infrastructure. The object becomes both the physical artifact and its own database container.
Solution Approach 2:
The patent extracts the data storage requirement from external infrastructure and embeds it directly within the 3D object's structure. By taking out the need for separate storage systems and integrating data capacity into the object's geometric design, the solution eliminates dependency on external data sets and simplified the system architecture.
2Loss of information
If external infrastructure is set up to hold metadata, then data can be accessed, but the infrastructure cost is expensive
Solution Approach 1:
The 3D object becomes self-sufficient by containing its own metadata within its geometric structure. The object serves its own data storage and retrieval needs without requiring external servers, databases, or infrastructure. This self-service approach eliminates costly external infrastructure while maintaining full metadata accessibility.
3Loss of information
If metadata is stored in external data sets, then information can be retrieved, but the data may become inaccessible after storage time limit expires
Solution Approach 1:
The patent performs preliminary action by embedding the complete data structure directly into the 3D object during manufacturing. This ensures that all necessary metadata is permanently captured within the object's geometry from the outset, eliminating future dependency on external storage systems that have expiration dates or access restrictions.
Solution Approach 2:
The patent creates a permanent copy of the metadata by encoding it directly into the object's geometric structure. This embedded copy exists independently of external systems and remains accessible for the object's entire lifespan, ensuring long-term data availability without time limits.
4Device complexity
If data is embedded in the 3D object, then the object functions as its own database, but the data structure must be integrated into the printing process
Solution Approach 1:
The patent merges the data embedding process with the 3D printing process itself. By integrating data structure generation and placement into the standard printing workflow, the system maintains simplicity while achieving sophisticated data embedding capabilities without requiring separate manufacturing steps.
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 3D objects to function as databases, allowing for quick and automated access to manufacturing information without external data sets, reducing costs and obtrusiveness while maintaining data integrity over time.
Implementation Method 1
The 3D printing device will do this by depositing a build material in layers and curing the build material
Data Source
AI summary
A method and system for embedding a database in a 3D object uses a 3D dimensional printing device and a computer-readable memory that stores a build sequence comprising instructions that, when executed by a processor, will cause the 3D printing device to form a three-dimensional object with an embedded data structure by depositing layers of build material and by including, in one or more of the layers, physical representations that represent a data structure.