Distortion Prediction for Binder Jet Sintered Parts
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Solution Overview
Problem
Conventional additive manufacturing processes, particularly binder jet printing, face challenges in accurately predicting and compensating for distortion in sintered parts, which limits the manufacturing of large or complex parts due to time-consuming and inaccurate prediction methods.
Innovation Solution
A distortion and correction module that discretizes part geometry into a mesh of nodes, predicts distortion, adjusts pre-distortion positions, and iteratively refines predictions to ensure printing within a set tolerance, enabling the production of complex parts by pre-distorting the green part to match the desired sintered shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional distortion prediction processes are used, then distortion can be predicted, but the prediction takes hours to days to solve making it unusable for quick iterative design
Solution Approach 1:
The patent segments the continuous distortion prediction problem into discrete nodal points on the part surface. By dividing the geometry into a mesh with specific nodes, the complex continuous field problem is transformed into a discrete set of point-wise predictions, enabling faster computational processing while maintaining accuracy.
Solution Approach 2:
The patent creates a simplified digital copy or surrogate model of the distortion prediction process. Instead of solving the full complex transient problem, a simplified model is developed that replicates the essential distortion behavior, allowing rapid predictions without sacrificing meaningful accuracy for design iterations.
2Productivity
If conventional prediction processes are used, then distortion can be predicted, but several assumptions about parameters are hard to validate making the output less accurate
Solution Approach 1:
The patent implements a feedback mechanism where predicted nodal distortions are compared against actual measured distortions from previous builds. This feedback loop allows the model to learn and adjust, reducing reliance on hard-to-validate assumptions and continuously improving prediction accuracy through empirical data.
Solution Approach 2:
The patent transforms the prediction approach by changing from a continuous field problem with many assumptions to a discrete nodal problem with fewer, more verifiable parameters. The simplification changes the mathematical formulation in a way that reduces dependency on difficult-to-validate material and process parameters.
3Manufacturing precision
If pre-distortion compensation is applied, then distortion can be corrected, but the process requires iterative refinement to achieve tolerance compliance
Solution Approach 1:
The patent applies preliminary action by pre-distorting the CAD model in the opposite direction of expected distortion before manufacturing. This pre-correction is calculated based on predicted nodal displacements, so when the part is manufactured, the pre-applied distortion compensates for the expected thermal and mechanical distortion, achieving accuracy without complex post-processing.
Solution Approach 2:
The patent uses inversion by applying distortion in the opposite direction to what would naturally occur during manufacturing. Instead of trying to correct distortion after it occurs, the model is intentionally distorted the other way round during design, so that the natural manufacturing distortion brings it back to the desired final geometry.
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 allows for the efficient and accurate prediction and compensation of part distortion, enabling the manufacturing of large and complex 3D printed parts that would otherwise be beyond the capabilities of conventional binder jet printing, reducing manufacturing costs and time while improving additive printing capabilities.
Implementation Method 1
The sintering furnace applies a high temperature (e.g., ̃1000° C.) to the green part, and the binder may be decomposed or otherwise burned-out, and then the temperature may be raised to sinter the particles such that the powder material particles are solidified together to form a sintered and solid part.
Implementation Method 2
The sintering furnace applies a high temperature (e.g., ̃1000° C.) to the green part, and the binder may be decomposed or otherwise burned-out
Data Source
AI summary
According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a distortion and correction module comprising a processor, a defined geometry for one or more parts, wherein the parts are manufactured with an additive manufacturing machine; discretizing the defined geometry into a mesh including a plurality of nodes; predicting a distortion of a position of each node of the plurality of nodes; determining whether the predicted distortion position exceeds a pre-set tolerance; determining an adjusted pre-distortion position for each node of the plurality of nodes when the predicted distortion position exceeds the pre-set tolerance; predicting a distortion of the adjusted determined pre-distortion position for each node of the plurality of nodes; determining whether the distortion of the determined adjusted pre-distortion position exceeds the pre-set tolerance; and printing the part when one of the predicted distortion position and the predicted adjusted pre-distortion position is below the pre-set tolerance. Numerous other aspects are provided.