Real-Time Simulation Feedback for Additive Manufacturing Control
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Solution Overview
Problem
Existing simulation methods for additive manufacturing processes rely on initial assumptions and inputs, which may not accurately reflect actual physical systems, leading to multiple iterations to achieve desired thermomechanical responses, and lack real-time adjustments during the fabrication process.
Innovation Solution
The use of real-time sensor measurements to update boundary conditions in simulations, allowing for dynamic adjustments during the fabrication process, such as modifying control parameters for a 3D printer, by comparing predicted results with actual sensor data, and displaying modifications through augmented reality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing simulation methods use initial assumptions and inputs to simulate additive manufacturing processes, then simulation can be performed from start to finish to reveal predicted properties, but the assumptions may not accurately reflect actual physical systems requiring many iterations
Solution Approach 1:
The patent implements feedback by capturing real-time sensor measurements during the additive manufacturing process and using these measurements to update simulation boundary conditions. This closed-loop approach allows the simulation to continuously adapt to actual physical conditions, significantly improving prediction accuracy and reducing the number of iterations needed compared to traditional methods that rely on fixed initial assumptions.
Solution Approach 2:
The patent performs preliminary simulations using initial assumptions before the actual manufacturing process to establish baseline predictions. These preliminary results are then refined during the process using real-time sensor data, allowing the system to leverage both predictive modeling and empirical measurement to achieve accurate results more efficiently.
2Reliability
If simulation assumptions and inputs do not accurately reflect actual physical systems, then multiple iterations of simulation are required, but this increases time consumption and reduces efficiency
Solution Approach 1:
Real-time sensor measurements provide feedback to continuously update simulation boundary conditions during the additive manufacturing process. This ensures the simulation accurately reflects actual physical conditions without requiring multiple iterative runs, thereby improving both reliability and productivity simultaneously.
Solution Approach 2:
The patent transforms the simulation from a static process based on fixed initial assumptions to a dynamic process that adapts in real-time using sensor measurements. This dynamic approach allows the simulation to evolve alongside the manufacturing process, maintaining accuracy while reducing iteration requirements.
3Manufacturing precision
If real-time sensor measurements are used to update boundary conditions in simulations, then prediction accuracy improves and on-the-fly adjustments are enabled, but system complexity increases
Solution Approach 1:
The patent integrates multiple functions into a unified system: sensors capture measurements, the system automatically updates simulation boundary conditions, and control parameters are adjusted in real-time. This multi-functional integration manages complexity by combining what would otherwise be separate processes into a cohesive workflow.
Solution Approach 2:
The system performs self-updating by automatically incorporating sensor measurements into simulation boundary conditions without requiring manual intervention. This self-service capability reduces operational complexity while maintaining high precision in process control.
Data Source
AI summary
Methods and systems are disclosed for simulating a fabrication process based on real time sensor measurements obtained during the process. In one embodiment, a first simulation of the process computes a set of predicted physical responses based on a first set of assumed boundary conditions, and then, during the fabrication process sensor measurements are obtained and used to compute a second set of boundary conditions. A second simulation, based on the second set of boundary conditions, can then be performed to compute an updated set of predicted physical responses that can be compared to the previously computed set of physical responses. The difference(s) can be used to determine line, surface or volumetric response distribution from point, line or surface boundary conditions respectively, whether and how to modify the fabrication process (or other processes) and how to take additive and other manufacturing process decisions real-time using simulation. Other examples are also described.