Additive Manufacturing Build Error Detection via Layer Simulation
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Solution Overview
Problem
In additive manufacturing, it is challenging to predict and prevent build errors such as deformations, recoater collisions, and stress-line formations during the manufacturing process, leading to potential build failures and flawed parts, which result in time and material wastage.
Innovation Solution
A computer-implemented method simulates the build of 3D objects layer by layer, calculating displacement vector values and deformation metrics to identify potential build errors before actual manufacturing, allowing for corrective actions to be taken to prevent errors like recoater collisions and stress-line formations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additive manufacturing is performed without prior simulation, then manufacturing speed is maintained, but build errors such as deformations, recoater collisions, and stress-line formations occur leading to build failures
Solution Approach 1:
The patent applies preliminary action by performing simulations of the additive manufacturing process before actual manufacturing occurs. The system simulates layer-by-layer construction, calculates displacement vectors for nodes, and predicts deformation metrics to identify potential build errors in advance, allowing design corrections before production begins.
Solution Approach 2:
The system implements feedback by continuously monitoring simulation results against predefined thresholds and providing real-time information about potential build errors. The feedback mechanism allows designers to review displacement metrics and deformation predictions, making iterative design adjustments to prevent build failures.
2Loss of substance
If build errors are detected after manufacturing completes, then manufacturing time is minimized, but time and materials are wasted due to discarded parts and redesign
Solution Approach 1:
The simulation system performs preliminary analysis of the entire build process before manufacturing begins, identifying potential build errors and high-risk regions in advance. This allows material waste to be prevented rather than occurring after completion, as the simulation predicts which layers and regions are most susceptible to deformation or build failure.
Solution Approach 2:
The system creates a virtual copy of the manufacturing process through simulation, replicating the layer-by-layer construction digitally. This virtual model allows repeated analysis and testing without consuming physical materials, enabling multiple design iterations before actual manufacturing occurs.
3Measurement precision
If comprehensive simulation of all layers and nodes is performed, then build error detection accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The simulation system segments the 3D object into discrete layers and further divides each layer into multiple nodes at different locations. This segmentation allows the complex continuous manufacturing process to be analyzed through a manageable grid of discrete elements, where displacement vectors and deformation metrics can be calculated systematically for each node across all layers.
Solution Approach 2:
The system applies local quality analysis by calculating displacement vectors and deformation metrics specifically at critical nodes and layers where build errors are most likely to occur. The simulation focuses computational resources on regions with highest risk based on geometric complexity, material properties, and process parameters rather than uniformly analyzing the entire model.
Data Source
AI summary
A system and method for detecting, based on a simulation of a build of an object using additive manufacturing, if the build of the object would be flawed or would fail during actual additive manufacturing of the object is provided.