Adaptive Mesh Reduction for Additive Manufacturing Simulation
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Solution Overview
Problem
Current computer-aided design (CAD) and computer-aided manufacturing (CAM) systems face challenges in efficiently simulating additive manufacturing processes due to lengthy computation times and increased complexity, particularly in predicting thermal distortion and residual stress in complex geometries, which can lead to defects like warping and cracks in 3D printed parts.
Innovation Solution
The implementation of adaptive domain reduction methods for thermo-structural simulation, where the processor determines an original mesh of a part and simulates incremental deposits of elements based on tool paths, calculating thermal and structural deformation characteristics while adaptively refining and coarsening the mesh to reduce computational resources and time, by omitting cooled layers that have minimal impact on the simulation results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full original mesh simulation is used to maintain accuracy, then prediction accuracy of thermal distortion and residual stress is improved, but computation time and computational resources increase significantly
Solution Approach 1:
The simulation domain is segmented into active deposition zones and cooled regions. The method divides the build volume into layers and identifies which layers are actively being deposited versus which layers have cooled down, allowing selective simulation only in relevant zones while skipping cooled regions, thus reducing computation time while maintaining accuracy in critical areas
Solution Approach 2:
The simulation dynamically adjusts the active simulation domain based on the current deposition state. As new layers are deposited, the active zone moves upward, and previously cooled layers are excluded from further simulation. This dynamic adaptation allows the system to maintain high prediction accuracy for thermal distortion and residual stress while significantly reducing computational resources by focusing only on thermally active regions
2Productivity
If adaptive domain reduction is applied to reduce computational resources, then simulation efficiency is improved, but simulation complexity increases
Solution Approach 1:
The system performs preliminary identification of cooled layers before they significantly impact the simulation. By tracking deposition history and identifying which layers have cooled below a threshold temperature, the system pre-determines which domains can be reduced or omitted, simplifying the overall simulation process while maintaining efficiency
Solution Approach 2:
The patent introduces an intermediary layer management system that tracks the thermal state of each layer and mediates between the full mesh simulation requirements and computational resource constraints. This intermediary mechanism manages the transition from active to cooled states, handling the complexity of domain reduction automatically without requiring complex real-time simulation adjustments
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
This approach significantly reduces simulation time and computational resources while maintaining accuracy, allowing for the prediction of thermal gradients and structural deformations, thereby minimizing defects and optimizing manufacturing processes.
Implementation Method 1
a set of tool paths that correspond to instructions usable to drive a three dimensional (3D) printer to move a laser to additively produce the part
Implementation Method 2
determine thermal characteristics and structural deformation characteristics of the deposited elements
Implementation Method 3
predicting thermal distortion and residual stress in complex geometries, which can lead to defects like warping and cracks
Implementation Method 4
determine thermal characteristics and structural deformation characteristics of the deposited elements
Data Source
AI summary
A system and method are provided for adaptive domain reduction for thermo-structural simulation of an additive manufacturing process. The system may include a processor configured to carry out a simulation of a part being additively produced according to a set of tool paths. The simulation may include determining an original mesh of the part; determining an order of the elements of the original mesh to deposit; and simulating an incremental deposit of each of the elements of the original mesh for a material in the order that the elements are determined to be deposited. For each incremental deposit of an additional respective element the processor may determine thermal characteristics and structural deformation characteristics of the deposited elements. After the deposit of several layers have been simulated, subsequent simulation of elements may be carried out based on a respective modified version of the original mesh in which at least some of the layers of the original mesh previously simulated to be deposited under a current layer are retained and at least some are omitted.