Wave-Based Test Artifact Monitoring for Additive Manufacturing Defects
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Additive manufacturing (AM) faces challenges in real-time in-situ quality monitoring and defect detection due to geometric complexity and variability in part quality, leading to issues like poor surface quality, mechanical strength, and residual stresses, which limits its widespread industrial adoption and on-site fabrication advantages.
Innovation Solution
A method and system utilizing a novel class of test artifacts with periodic internal structures that employ wave propagation for real-time in-situ monitoring, allowing for the analysis of spectral responses to assess internal structures and material properties, enabling rapid detection of defects and quality evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional NDE/NDT techniques are used for quality monitoring, then defect detection capability is limited, but real-time monitoring capability is lost
Solution Approach 1:
The patent embeds sensor networks and monitoring systems into the additive manufacturing process itself, performing quality assessment during manufacturing rather than after completion. This preliminary action enables real-time defect detection while the part is being built, allowing immediate intervention before defects propagate or require costly post-processing inspection.
Solution Approach 2:
The patent introduces wave propagation techniques (acoustic, ultrasonic, or electromagnetic waves) as an intermediary medium to probe the internal structure of the manufactured part. These waves interact with the material and defects, carrying information back to sensors that analyze spectral responses to detect defects non-invasively during the manufacturing process.
2Measurement precision
If extensive post-production off-line quality inspections are performed, then defect detection accuracy improves, but manufacturing throughput decreases
Solution Approach 1:
The patent implements continuous quality monitoring throughout the additive manufacturing process by embedding sensors and wave propagation systems that operate continuously during layer deposition. This eliminates the need for interrupting production for separate inspection phases, maintaining continuous manufacturing throughput while providing ongoing quality assurance.
Solution Approach 2:
The patent replaces traditional mechanical inspection methods with wave-based detection systems that can penetrate and characterize internal structures non-contactly. This substitution enables rapid defect detection without the time-consuming manual inspection processes, maintaining high manufacturing throughput while achieving comprehensive quality assessment.
3Reliability
If in-situ monitoring systems are implemented, then quality assessment capability improves, but device complexity increases
Solution Approach 1:
The patent designs the monitoring system to serve multiple functions: wave propagation for defect detection, spectral analysis for material characterization, and real-time feedback for process control. This multi-functionality consolidates what would otherwise require separate systems into a single integrated platform, improving quality assessment capability without proportionally increasing overall system complexity.
Solution Approach 2:
The patent enables the additive manufacturing system to self-diagnose quality issues through embedded sensors and real-time data analysis. The system automatically detects defects, analyzes their characteristics, and can trigger corrective actions without external intervention, improving quality assurance capability while reducing the operational complexity of managing the monitoring system.
4Loss of time
If real-time monitoring is implemented during AM process, then machine time and material waste are reduced, but measurement and detection difficulty increases
Solution Approach 1:
The patent applies wave propagation at specific frequencies and amplitudes tailored to detect particular defect types at different stages of the additive manufacturing process. By using partial action (selective frequency ranges and wave types) rather than exhaustive monitoring of all possible defect modes simultaneously, the system achieves effective real-time detection without overwhelming measurement complexity.
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 real-time monitoring and quality assessment of AM processes, reducing machine time and material waste, improving manufacturing throughput, and enhancing the reliability of AM products by identifying defects before completion, thus addressing the limitations of current NDE/NDT techniques.
Implementation Method 1
employ wave propagation for real-time in-situ monitoring, allowing for the analysis of spectral responses to assess internal structures and material properties
Data Source
AI summary
An in-process real-time method, system and device is provided for monitoring the quality of an article made by additive manufacturing processes. The invention involves the transmission and reception of waves into a test artifact while it is being built. The properties of received waves depend on the parameters of the additive manufacturing process, the properties of materials involved, and their irregularities as well as geometric deviations, as its structural periodicity and defects leads to the dispersion of waves. Based on the features of the artifact, the test artifact is designed to capture deviations in all or a sub-set of process, material, and geometric parameters. A computing device in communications with operators, the control unit of the additive manufacturing machine and other computing facilities is used for creating and analyzing waveforms. The disclosed system may initiate real-time actions based on the properties of the obtained waveforms.