3D Additive Manufacturing Control Files for Multi-Subsystem Build
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Solution Overview
Problem
Current 3D additive manufacturing technologies face challenges in efficiently manufacturing complex multi-part objects using different materials and deposition methods, particularly in integrating electrical components and ensuring accurate layer topology across disparate materials and methods.
Innovation Solution
A system and method that organize and specify the additive manufacture of multi-part 3D objects by storing parts with unique identifiers, creating control files linking part names with corresponding methods, and running a 3D build program to perform operations slice-by-slice, utilizing multiple 3D additive manufacturing subsystems and materials, and employing a topology identifying system for accurate height measurement and compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple distinct 3D additive manufacturing subsystems and methods are used to manufacture different parts, then material versatility and manufacturing capability are improved, but system complexity and process integration difficulty increase
Solution Approach 1:
The system is divided into multiple independent 3D additive manufacturing subsystems, each capable of manufacturing with different materials and methods. Each subsystem operates autonomously but contributes to the overall multi-part object production, allowing material versatility without requiring a single complex system to handle all material types.
Solution Approach 2:
The control system and file management architecture are designed to be universal, handling multiple file formats, material types, and deposition methods through a common interface. The system can manage STL, OBJ, and other formats while coordinating multiple subsystems through standardized control protocols, reducing overall system complexity.
2Manufacturing precision
If a hierarchical control file system with method files and parameter associations is implemented, then manufacturing precision and process control are improved, but file system complexity and data management burden increase
Solution Approach 1:
The control system is segmented into hierarchical levels: master control files that coordinate the overall build, method files that define specific deposition processes, and parameter files that contain detailed settings. This segmentation allows precise control of each layer and material while keeping individual file sizes and complexities manageable.
Solution Approach 2:
Method files serve as intermediaries between the master control file and the actual manufacturing subsystems. They translate high-level build instructions into specific deposition parameters, acting as a buffer that simplifies the interface between control software and hardware while maintaining manufacturing precision.
3Manufacturing precision
If slice-by-slice build operations with topology identification are performed, then manufacturing precision and topology accuracy are improved, but processing time and computational requirements increase
Solution Approach 1:
The build process is divided into discrete slice operations, with topology identification performed incrementally layer by layer. This allows the system to maintain high topology accuracy for each slice while processing smaller, manageable portions of the overall object, reducing the computational burden compared to processing the entire object at once.
Solution Approach 2:
Topology identification and height measurement are performed in advance during the slicing phase, before actual material deposition begins. This preliminary analysis allows the system to plan the build path and compensate for topology variations ahead of time, reducing real-time computational requirements during manufacturing.
4Manufacturing precision
If dynamic height compensation and topology measurement are implemented during building, then manufacturing precision is improved, but measurement system complexity and process time increase
Solution Approach 1:
The system incorporates real-time feedback through height measurement devices that continuously monitor layer topology during the build process. Measured height data is fed back to the control system, which dynamically adjusts subsequent deposition parameters to compensate for variations, maintaining high height accuracy without requiring overly complex measurement hardware.
Solution Approach 2:
The system uses its own build process data to perform height compensation. By measuring the actual topology of previously deposited layers and using this information to guide subsequent deposition, the system self-corrects for variations without requiring external intervention or complex additional measurement systems.
Data Source
AI summary
Provided is a method and system which uses a 3D additive manufacturing system having more than a single 3D additive manufacturing subsystem. The operation employs a set of control files including a first control file with part names and method names which correspond to particular ones of the part names. Additional files in the set of control files include a plurality of method control files, describing the methods named in the first control file. The method control files are configured to include (i) control parameter names, and (ii) values associated with the parameter names.