Optical Anomaly Detection in Additive Manufacturing
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Solution Overview
Problem
Additive manufacturing machines face challenges due to optical anomalies such as contaminants and damage on optical elements, which can affect the performance of energy beams and imaging systems.
Innovation Solution
The implementation of an additive manufacturing machine system that includes a light source for emitting an assessment beam, light sensors to detect the reflected beam, and a control system to determine if optical anomalies are present based on assessment data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical elements are used in the energy beam system, then the additive manufacturing process can be performed, but optical anomalies such as contaminants and damage may develop on the optical elements affecting beam characteristics
Solution Approach 1:
The system performs preliminary detection of optical anomalies on optical elements before they significantly degrade energy beam performance. The assessment beam continuously monitors optical elements for contaminants and damage, enabling early intervention and maintenance scheduling before critical failures occur.
Solution Approach 2:
The system implements feedback by using light sensors to detect reflected assessment beams and provide real-time information about optical element condition to the control system. This feedback loop enables continuous monitoring and automatic alerting when optical anomalies are detected, allowing for timely maintenance actions.
2Reliability
If optical elements are monitored for anomalies, then the reliability of the additive manufacturing process is improved, but additional system complexity is introduced
Solution Approach 1:
The assessment beam system is designed to be multi-functional, serving both as a monitoring tool for optical element health and as a diagnostic tool for characterizing optical anomalies. The same light sources and sensors used for monitoring can also provide information about the nature and severity of detected anomalies, reducing the need for separate diagnostic equipment.
Solution Approach 2:
The system uses the existing optical infrastructure of the additive manufacturing machine to perform self-diagnosis. The optical elements being monitored are themselves used to guide and reflect the assessment beam, and the control system automatically processes sensor data to detect anomalies, reducing the need for external monitoring equipment and expert intervention.
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 system effectively detects and potentially mitigates optical anomalies, ensuring optimal performance of additive manufacturing processes by maintaining the quality of energy beams and imaging.
Implementation Method 1
one or more light sensors configured to detect a reflected beam comprising at least a portion of the assessment beam reflected and/or transmitted by at least one of the one or more optical elements
Data Source
AI summary
An additive manufacturing machine includes an energy beam system configured to emit an energy beam utilized in an additive manufacturing process, and one or more optical elements utilized by, or defining a portion of, the energy beam system and/or an imaging system of the additive manufacturing machine. The imaging system monitors one or more operating parameters of the additive manufacturing process. A light source is configured to emit an assessment beam that follows an optical path incident upon the one or more optical elements. One or more light sensors detect a reflected beam comprising at least a portion of the assessment beam at a perimeter edge of the one or more optical elements. A control system determines, based at least in part on assessment data comprising data from the one or more light sensors, whether at least one of the one or more optical elements exhibits an optical anomaly.A light source is configured to emit an assessment beam that follows an optical path incident upon the first and second optical elements. One or more light sensors detect a reflected beam that is either internally reflected by the first optical element or reflectively propagated between the first and second optical elements. A control system determines, based at least in part on assessment data comprising data from the one or more light sensors, whether at least one of the first and second optical elements exhibits an optical anomaly.