Additive Manufacturing Parameter Optimization Using Electromagnetic Sensing

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Solution Overview

Problem

Current additive manufacturing methods face challenges in efficiently optimizing process parameters for high-quality part production, particularly in ensuring compliance with industry certification standards and achieving optimal part quality without extensive testing.

Innovation Solution

A method involving the generation of 3D digital models for test samples with predefined geometries, monitored by electromagnetic sensors during manufacturing, to iteratively optimize process parameters and determine an optimized set of parameters for subsequent AM part production.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If traditional test matrix methods with multiple test coupons are used to optimize process parameters, then manufacturing precision and quality compliance are improved, but time consumption and production cost increase significantly

Engineering Contradiction:
Improvepart qualityVSAvoidoptimization time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by performing electromagnetic sensor measurements on test coupons during the additive manufacturing process itself, rather than waiting for post-manufacturing inspection. This allows quality data to be collected in advance, enabling real-time optimization of process parameters without extending the overall production timeline.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces destructive mechanical testing methods with non-contact electromagnetic sensor measurements. This substitution eliminates the need for time-consuming post-processing tests while providing rapid quality assessment, thereby resolving the contradiction between achieving high manufacturing precision and reducing optimization time.

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

2Reliability

If extensive testing with multiple test coupons is conducted to ensure quality compliance, then reliability of the manufacturing process is improved, but device complexity and operational burden increase

Engineering Contradiction:
Improvequality complianceVSAvoidtesting complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements self-service by enabling the additive manufacturing system to automatically perform quality measurements using integrated electromagnetic sensors and autonomously determine optimal process parameters through data analysis. This eliminates the need for complex external testing equipment and reduces operational burden while maintaining high reliability through consistent, automated quality monitoring.

Inventive Principle:
Principle #25Self-service

3Manufacturing precision

If process parameters are optimized for high-quality parts, then manufacturing precision is improved, but productivity decreases due to extended testing and optimization time

Engineering Contradiction:
Improvepart qualityVSAvoidproduction throughput
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The patent ensures continuity of useful action by performing electromagnetic measurements and parameter optimization continuously during the additive manufacturing process without interrupting production. This allows quality optimization to occur in parallel with manufacturing, maintaining high productivity while achieving superior manufacturing precision through real-time parameter adjustment.

Inventive Principle:
Principle #20Continuity of useful action

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 method allows for the maximization of information about process parameter influence on part quality within a given measurement time, enabling time-efficient optimization of process parameters while ensuring compliance with industry standards for AM part certification.

Implementation Method 1

each test sample is made up of two or more test coupons manufactured sequentially, for obtaining at least one optimized set of process parameters, and c. storing said at least one optimized set of process parameters for subsequent use during the building process of said at least one AM part

Methodology Applied
Scientific EffectElectromagnetic sensing: Electromagnetic Induction

Data Source

PatentUS20250196228A1Method for optimizing process parameters of an additive manufacturing process
Publication Date: 2025.06.19 AMIQUAM SA
  • US20250196228A1 patent drawing
  • US20250196228A1 patent drawing
  • US20250196228A1 patent drawing

AI summary

A method for optimizing one or more process parameters of an additive manufacturing process. The method includes, a. manufacturing a set of test samples (c1 . . . c1 . . . cn) on a build platform (P) of an additive manufacturing system, each test sample (c1 . . . c1 . . . cn) being monitored by at least one electromagnetic sensor for obtaining at least one optimized set of process parameters (pi,opt), and storing the at least one optimized set of process parameters (pi,opt) for subsequent use during the building process of the said at least one AM part, which is representative of a test coupon (ci,j) of a given acceptable quality factor. The at least one optimized set of process parameters (pi,opt) is obtained by carrying out the following steps: i. manufacturing at least two test coupons (c1,1 . . . ci,1 . . . cn,1) with two different sets of guess process parameters (p1,1 . . . pi,1 . . . pn,1), ii. sensing the two test coupons (c1,1 . . . ci,1 . . . cn,1) with the at least one electromagnetic sensor, iii. changing for each new coupon at least one process parameter as a function of a) the previous sets of process parameters (p1,1 . . . pi.j . . . Pn,m) for the respective built test coupons, and b) the quality factor of respective test coupons measured by the electromagnetic sensor to obtain respective new sets of process parameters (pij+1); iv. manufacturing an additional set of test coupons (ci,j) of respective test samples with the respective new set of process parameters (pi,j); v. sensing the additional set of test coupons (ci,j) with the at least one electromagnetic sensor, and vi. repeating steps iii. to v. until a predetermined geometry of each test sample (c1,m . . . ci,m . . . cn,m) is obtained. A process parameters' window yielding an acceptable quality factor for the at least one AM part is computed as a function of the sets of process parameters used for building the test coupons of respective test samples, and the quality factor of the test coupons. At least one optimized set of process parameters is selected within the process parameter window.