Adaptive Layer Deposition Using Build Surface Topology Feedback
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Solution Overview
Problem
Additive manufacturing systems face challenges in accurately detecting material defects during the fabrication process, which can lead to components with dimensions deviating from specifications and requiring subsequent machining, as conventional mass flux and heat flux measurements are insufficient for identifying topological variations.
Innovation Solution
An additive manufacturing system that includes a topology sensor to measure the build surface topology, providing additional data for controlling deposition parameters, thereby adapting subsequent layers to correct for height variations and reduce material defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mass flux and heat flux measurements are used to monitor deposition, then the measurement system remains simple, but material defects and topological variations cannot be accurately detected
Solution Approach 1:
The patent combines multiple measurement modalities (mass flux sensors, heat flux sensors, and topology sensors) into a unified monitoring system. The topology sensor measures build surface topography while mass and heat flux sensors monitor deposition conditions, and the computing device integrates all these data sources to comprehensively detect material defects and predict future deviations, thereby achieving accurate defect detection without excessive system complexity.
Solution Approach 2:
The patent introduces a computing device as an intermediary that processes and correlates data from multiple sensors. This computing device receives mass flux data, heat flux data, and topology data, then analyzes their relationships to detect material defects and predict future build deviations. The intermediary processing layer transforms raw sensor data into actionable quality information, enabling accurate defect detection while managing system complexity through centralized intelligence.
2Manufacturing precision
If deposition parameters are not adjusted in real-time, then the manufacturing process remains simple and fast, but components deviate from specifications requiring subsequent machining
Solution Approach 1:
The patent implements a feedback control system where topology measurements of previously deposited layers are used to predict and correct deviations in subsequent layers. The system continuously monitors build surface topography, compares it against target specifications, and adjusts deposition parameters in real-time to compensate for detected deviations. This closed-loop feedback enables high dimensional accuracy while maintaining fabrication speed by preventing error accumulation rather than correcting it post-process.
Solution Approach 2:
The patent performs preliminary detection and correction actions during the fabrication process itself. By measuring topology after each layer and predicting future deviations before they occur, the system adjusts deposition parameters proactively to prevent dimensional errors. This preliminary action approach eliminates the need for subsequent machining operations while maintaining continuous production, thereby achieving both high precision and productivity.
3Manufacturing precision
If topological data is collected and used to adjust deposition parameters, then subsequent layers can correct height variations, but the control system becomes more complex
Solution Approach 1:
The patent enables the additive manufacturing system to self-correct its own deposition errors through automated feedback control. The topology sensor measures actual build surface height, the computing device calculates deviations from target specifications, and the system automatically adjusts deposition parameters for subsequent layers to compensate. This self-service capability allows the system to maintain high build height accuracy through intelligent control algorithms that process topological data and implement real-time parameter adjustments without requiring external 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
The system enhances the accuracy of component fabrication by reducing the need for subsequent machining, ensuring that components meet specifications through real-time adjustment of deposition parameters based on topological data.
Implementation Method 1
The energy delivery device is configured to deliver energy to a build surface of a component to form a melt pool in the build surface of the component
Implementation Method 2
The one or more sensors include at least one topology sensor configured to generate topological data representative of a topology of the build surface
Data Source
AI summary
An additive manufacturing system includes an energy delivery device configured to deliver energy to a build surface of a component to form a melt pool, a powder delivery device configured to direct a powder stream toward the melt pool, a topology sensor configured to generate topographical data representative of a topology of the build surface, and a computing device configured to receive the topological data from the topology sensor for a first layer deposited according to an initial set of deposition conditions and determine a build height of the first layer based on the topological data, identify a difference between the build height and a target build height, determine an adjusted set of deposition parameters of a second layer based on the identified difference, and control the energy and powder delivery devices to deposit the second layer based on the adjusted set of deposition parameters.