Recoater Event Prediction Using Part Orientation in DMLM Builds

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Solution Overview

Problem

DMLM additive manufacturing processes face issues with part distortion due to thermal gradients and strain, leading to recoater events that can damage the part or halt the build process.

Innovation Solution

A physics-based, finite element analysis is used to predict recoater events by simulating thermal-mechanical distortions, considering part orientation and adjusting likelihoods through out-of-plane and in-plane angles, and determining optimal rotation angles to minimize recoater events without redesigning the part.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If physics-based finite element analysis is used to predict recoater events, then prediction accuracy is improved, but computational complexity and processing time increase

Engineering Contradiction:

Improverecoater event prediction accuracyVSAvoidcomputational complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The build process is divided into discrete layers, and distortion predictions are calculated layer-by-layer using finite element analysis. This segmentation allows the complex 3D thermal-mechanical problem to be broken into manageable 2D plane stress elements, reducing computational complexity while maintaining prediction accuracy for each layer

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Distortion predictions are performed in advance during the build planning phase, before actual manufacturing begins. The system pre-calculates expected distortion at each layer and identifies potential recoater events beforehand, allowing operators to prepare mitigation strategies without interrupting the actual build process

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If part orientation is considered in distortion prediction, then prediction accuracy is improved, but calculation time increases

Engineering Contradiction:

Improverecoater event prediction accuracyVSAvoidcalculation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system evaluates distortion predictions for multiple part orientation angles by changing the gravitational and thermal gradient parameters in the finite element model. This allows identification of optimal build orientations that minimize distortion and recoater events, with the understanding that this parameter variation requires additional computational effort

Inventive Principle:

Principle #35Parameter changes

3Loss of information

If thermal-mechanical distortion simulation is performed, then understanding of distortion mechanisms is improved, but processing time increases

Engineering Contradiction:

Improvedistortion mechanism understandingVSAvoidprocessing time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system replaces complex full 3D thermal-mechanical coupling simulation with a simplified 2D plane stress finite element model that captures the essential distortion mechanisms. This substitution maintains sufficient accuracy for predicting recoater events while significantly reducing computational processing time

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

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

Enhances recoater event prediction accuracy by accounting for part orientation, reducing the likelihood of recoater events and preventing damage, allowing for uninterrupted builds without modifying the part design.

Implementation Method 1

Direct metal laser melting (DMLM) is an additive manufacturing process that uses lasers to melt ultra-thin layers of metal powder

Methodology Applied

Scientific EffectLaser heating: Laser

Implementation Method 2

certain portions of the part may become distorted due to thermal gradients and/or strain

Methodology Applied

Scientific EffectThermal gradient: Temperature Gradient

Data Source

PatentUS12485488B2Apparatuses, systems, and methods for providing enhanced recoater event prediction for DMLM additive manufacturing

Publication Date: 2025.12.02 GENERAL ELECTRIC CO

AI summary

A method may include receiving data associated with a part to be built by additive manufacturing using a recoater, predicting a distortion amount comprising a distance that the part is expected to distort in a vertical direction at one or more layers while the part is being built based on a simulation of the part being built, determining a likelihood of a recoater event based on the predicted distortion amount, determining a severity factor associated with the predicted distortion amount at each of the one or more layers of the part based on an orientation of the part at each of the one or more layers, and determining an adjusted likelihood of a recoater event at each of the one or more layers based on the predicted distortion amount and the determined severity factor. Apparatuses and systems are also provided for enhanced recoater event prediction for DMLM additive manufacturing.