Additive Manufacturing Melt Pool Control via Sensor Feedback

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Solution Overview

Problem

In additive manufacturing, particularly in Direct Metal Laser Melting (DMLM) systems, the variation in heat transfer leads to poor surface finish on overhanging or downward-facing surfaces due to excess heat and conductive heat transfer issues, resulting in local overheating and an enlarged melt pool, which affects the quality of the components.

Innovation Solution

A manufacturing computer device dynamically adapts the build process by receiving sensor information, comparing it to pre-defined parameters, and generating updated build files to adjust parameters in real-time, ensuring optimal melt pool size and temperature, thereby improving surface finish and component quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If laser device melts powder material to create melt pool, then component is fabricated, but excess heat and variation in heat transfer cause poor surface finish on overhanging surfaces

Engineering Contradiction:
Improvesurface finish qualityVSAvoidheat variation in melt pool
Core Design Contradiction:
Manufacturing precisionVSTemperature

Solution Approach 1:

The patent implements dynamic adjustment of build parameters during the additive manufacturing process. The system continuously monitors sensor data and modifies laser power, scan speed, and other parameters in real-time to maintain consistent melt pool characteristics, thereby resolving the heat variation problem that causes poor surface finish on overhanging surfaces

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system incorporates sensor feedback loops that monitor temperature, melt pool geometry, and other critical parameters during manufacturing. This feedback is used to automatically adjust build parameters, creating a closed-loop control system that maintains optimal heat conditions and prevents the excess heat variation that leads to surface quality defects

Inventive Principle:
Principle #23Feedback

2Productivity

If laser beam melts powder material, then component is built, but melt pool becomes too large causing metal to spread and penetrate deeper into powder bed

Engineering Contradiction:
Improvebuild rateVSAvoidmelt pool size control
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The system dynamically adjusts laser power and scan speed based on real-time sensor feedback to maintain optimal melt pool dimensions. This prevents the melt pool from becoming too large, which would cause metal spreading and deep penetration into the powder bed, while still maintaining high build rates

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent employs real-time modification of build parameters including laser power, scan speed, and hatch spacing based on sensor data. These parameter changes allow precise control of melt pool size and shape, preventing excessive melting while maintaining manufacturing efficiency

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If build parameters are fixed, then manufacturing process is simple, but variations in material and application lead to unusable objects

Engineering Contradiction:
Improvebuild process control complexityVSAvoidcomponent usability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The system implements comprehensive sensor feedback that monitors material properties, build progress, and environmental conditions. This feedback enables automatic adjustment of build parameters to account for material variations and application-specific requirements, ensuring component usability while managing complexity through automation

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The manufacturing system performs self-adjustment based on sensor data, automatically compensating for material variations and process deviations. This self-service capability maintains component quality and usability without requiring complex manual intervention, with the system autonomously optimizing build parameters throughout the manufacturing process

Inventive Principle:
Principle #25Self-service

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 enhances the surface quality of components by maintaining a consistent melt pool size and temperature, reducing overheating and improving manufacturing efficiency by dynamically adjusting parameters during the build process.

Implementation Method 1

The laser device generates a laser beam that melts the powder material in and around the area where the laser beam is incident on the powder material, resulting in a melt pool

Methodology Applied
Scientific EffectLaser heating: Laser

Implementation Method 2

component surface quality, particularly of overhanging or downward facing surfaces, is reduced due to the variation in conductive heat transfer between the powdered metal and the surrounding solid material of the component

Methodology Applied
Scientific EffectConductive heat transfer: Conduction (thermal)

Data Source

PatentUS10753955B2Systems and method for advanced additive manufacturing
Publication Date: 2020.08.25 GENERAL ELECTRIC CO
  • US10753955B2 patent drawing
  • US10753955B2 patent drawing
  • US10753955B2 patent drawing

AI summary

A manufacturing computer device for dynamically adapting additive manufacturing of a part is provided. The manufacturing computer device includes at least one processor in communication with at least one memory device. The at least one memory device stores a build file for building the part including a plurality of geometries that each include one or more values of a first build parameter. The processor is programmed to receive sensor information of a build of the part by a machine, compare the sensor information for each geometry of the plurality of geometries to the corresponding one or more values of the first build parameter, determine one or more values for a second build parameter for each of the geometries based on the one or more differences, and generate an updated build file for the part including the one or more values for the second build parameter.