Electromagnetic Recoater Sensor for Real-Time AM Part Quality Classification

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Solution Overview

Problem

The metal additive manufacturing industry faces challenges with unpredictable defects in powder-bed fusion-laser-based (PBF-LB/M) techniques, leading to high costs and scrap parts due to the inability of existing monitoring systems to reliably detect defects in real-time, requiring costly destructive tests and lengthy qualification efforts to optimize process parameters.

Innovation Solution

A method using electromagnetic sensors mounted on a recoater to monitor and classify the quality of additive manufactured parts by sensing consolidated layers, calculating statistical values from lift-off and frequency measurements, and adjusting process parameters in real-time to prevent defects, involving a calibration procedure to set thresholds for acceptable quality standards.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Difficulty of detecting and measuring

If existing monitoring solutions (on-axis melt pool monitoring, off-axis optical imaging, acoustic emission) are used to detect defects during manufacturing, then real-time defect detection capability is improved, but reliability of defect detection and ability to provide unambiguous alarms remains insufficient

Engineering Contradiction:
Improvereal-time defect detection capabilityVSAvoidreliability of defect detection
Core Design Contradiction:
Difficulty of detecting and measuringVSReliability

Solution Approach 1:

The patent replaces optical and acoustic monitoring systems with electromagnetic sensing technology. Electromagnetic sensors mounted on the recoater measure electrical properties (resistivity, conductivity) of the powder bed and consolidated layers, providing a fundamentally different detection mechanism that penetrates material layers and detects subsurface defects without the limitations of surface-level optical or acoustic methods.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces electromagnetic fields as an intermediary between the monitoring system and the AM part. The electromagnetic sensors detect changes in electrical properties caused by defects, acting as a mediator that translates physical defects into measurable electrical signals, enabling reliable detection without direct contact with the part surface.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If costly destructive tests (metallography) and nondestructive tests (CT scans, UT, electromagnetic) are performed after fabrication to assess defects, then defect assessment accuracy is improved, but cost and time consumption increase significantly

Engineering Contradiction:
Improvedefect assessment accuracyVSAvoidtime consumption for testing
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs defect detection during the additive manufacturing process itself, before the part is fully fabricated and before costly post-processing tests are required. By monitoring electrical properties in real-time during layer-by-layer construction, the system identifies defects as they form, eliminating the need for time-consuming post-fabrication testing.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent enables continuous monitoring throughout the entire additive manufacturing process. The electromagnetic sensors operate continuously during powder spreading and laser fusion operations, providing uninterrupted defect detection without requiring separate testing phases after fabrication is complete.

Inventive Principle:
Principle #20Continuity of useful action

3Reliability

If process parameters are optimized to reduce defect probability, then part quality is improved, but lengthy qualification efforts are required to define optimized parameters

Engineering Contradiction:
Improvepart qualityVSAvoidqualification effort duration
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements real-time feedback by continuously monitoring electrical properties during manufacturing and comparing them against predefined thresholds. When deviations indicating potential defects are detected, the system provides immediate feedback to adjust process parameters dynamically, eliminating the need for lengthy pre-qualification studies to determine optimal settings.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent transitions from static, pre-determined process parameters to dynamic, real-time parameter adjustment. The monitoring system enables adaptive control where parameters can be modified during fabrication based on actual electrical property measurements, allowing the process to self-optimize without extensive prior qualification.

Inventive Principle:
Principle #15Dynamics

4Productivity

If electromagnetic sensors are mounted on the recoater to monitor consolidated layers, then real-time quality classification capability is improved, but device complexity increases

Engineering Contradiction:
Improvereal-time quality classification capabilityVSAvoiddevice complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent makes the recoater multi-functional by integrating electromagnetic sensing capability into an existing component. The same recoater that performs powder spreading now also serves as the monitoring platform, eliminating the need for separate monitoring equipment and reducing overall system complexity despite adding detection functionality.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent merges the monitoring function with the recoater assembly. The electromagnetic sensors are integrated into the recoater structure, combining powder delivery and electrical property measurement in a single unified system, thereby reducing the number of separate devices and simplifying the overall architecture.

Inventive Principle:
Principle #5Merging (Combining)

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

Enables non-destructive, rapid classification of parts and prediction of potential defects, reducing scrap rates and production costs by allowing timely adjustments to process parameters, thereby improving the reliability and efficiency of the additive manufacturing process.

Implementation Method 1

monitoring the electrical properties (resistivity, conductivity...) of the powder bed and/or of the consolidated layers by using at least one electromagnetic sensor

Methodology Applied
Scientific EffectElectromagnetic sensing: Electromagnetic Induction

Data Source

PatentUS20250010375A1Method for monitoring and classifying additive manufactured parts based on the quality thereof
Publication Date: 2025.01.09 AMIQUAM SA
  • US20250010375A1 patent drawing
  • US20250010375A1 patent drawing
  • US20250010375A1 patent drawing

AI summary

The present invention relates to a method for manufacturing, monitoring and classifying an AM metal part. The AM part is manufactured by a powder-bed additive manufacturing machine comprising a build plate (BP), a recoater (RC) and at least one electromagnetic sensor (ECS) mounted on the recoater. The method comprises the steps of: i) spreading a powder layer (PL) over the build plate (BP) with the recoater and manufacturing a layer of the AM part by selectively illuminating the powder layer to obtain a consolidated layer (CL); ii) driving the electromagnetic sensor (ECS) using at least one a predefined interrogating frequency, sensing one or more sub-parts of said consolidated layer (CL) and storing a measurement of both the in-phase and the out-of-phase electric signals for each of said one or more sub-parts; iii) lowering the build plate and repeating steps i) and ii) for building and sensing one or more additional consolidated layers (CL); iv) transforming measurements acquired under step ii) into lift off values and frequency values respectively using lift off calibration values and frequency calibration values acquired during a calibration procedure; v) calculating a first statistical value based on said lift off values and a second statistical value based on said frequency values, and vi) classifying the quality of the built AM part as acceptable or not acceptable by comparing said first statistical value with a first threshold and said second statistical value with a second threshold.