Distortion Compensation for 3D Printed Parts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for addressing geometric distortions in 3D printing and metal injection molding are manual, labor-intensive, and inaccurate, as they rely on final distortion observations without considering the time-dependent and non-linear mechanical processes involved in manufacturing.
Innovation Solution
A computer-readable medium with programming instructions for performing distortion simulation, which generates a distorted cell mesh based on mechanical properties and processes, aligns physical part scans with simulated meshes, and iteratively applies negative offsets to achieve desired geometries through a multi-physics simulation and neural network tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual engineer-designed approaches with negative offsets are used to account for geometric distortions, then the process is simple and quick, but the manufacturing precision and reliability are poor due to haphazard and inaccurate corrections
Solution Approach 1:
The system performs preliminary simulation of the mechanical manufacturing process to predict geometric distortions before actual manufacturing occurs. The simulation model pre-calculates distortion vectors and applies negative offsets to the digital model in advance, allowing the manufactured part to compensate for expected distortions and achieve the desired final geometry.
Solution Approach 2:
The system uses feedback from actual manufactured parts by scanning them and comparing the scanned geometry with the simulated distorted model. This feedback loop allows the system to refine and tune the simulation parameters, improving the accuracy of distortion predictions for subsequent manufacturing iterations.
2Manufacturing precision
If final distortion observations are used without considering time-dependent processes, then the measurement is simple, but the manufacturing precision deteriorates because the corrections are based on end results without knowledge of the manufacturing process
Solution Approach 1:
The system performs preliminary simulation of the mechanical manufacturing process to predict geometric distortions before actual manufacturing occurs. The simulation model pre-calculates distortion vectors and applies negative offsets to the digital model in advance, allowing the manufactured part to compensate for expected distortions and achieve the desired final geometry.
Solution Approach 2:
The simulation model incorporates time-dependent parameters such as creep strain rate, shrinkage rate, and temperature profiles to accurately represent the mechanical manufacturing process. By adjusting these parameters based on material properties and process conditions, the system predicts distortions that occur during the actual time-dependent manufacturing process.
3Manufacturing precision
If iterative simulation with parameter tuning is performed to achieve accurate distortion compensation, then the manufacturing precision is improved, but the productivity decreases due to multiple simulation iterations
Solution Approach 1:
The system performs preliminary simulation of the mechanical manufacturing process to predict geometric distortions before actual manufacturing occurs. The simulation model pre-calculates distortion vectors and applies negative offsets to the digital model in advance, allowing the manufactured part to compensate for expected distortions and achieve the desired final geometry.
Solution Approach 2:
The system uses feedback from actual manufactured parts by scanning them and comparing the scanned geometry with the simulated distorted model. This feedback loop allows the system to refine and tune the simulation parameters, improving the accuracy of distortion predictions for subsequent manufacturing iterations.
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 provides accurate and reliable compensation for distortions, enabling the production of parts that closely match desired shapes by simulating and correcting for mechanical transformations such as shrinkage, creep strain, and friction, resulting in improved dimensional accuracy and reduced manual adjustments.
Implementation Method 1
running a distortion simulation using input parameter values including at least one of shrinkage rate
Implementation Method 2
running a distortion simulation using input parameter values including at least one of creep strain stress threshold
Implementation Method 3
running a distortion simulation using input parameter values including at least one of coefficients of friction
Data Source
AI summary
The present invention is directed to systems and methods for automatically generating mechanical part designs and manufacturing specifications/instructions that account for geometric distortions that may occur during manufacturing or post-processing.