In Situ Composition Control in Additive Manufacturing Builds
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Solution Overview
Problem
Conventional additive manufacturing processes lack closed-loop controls, leading to variability in material composition and properties due to evaporation of alloying elements, resulting in inconsistent and non-reproducible bulk material properties, which are typically assessed post-deposition using sacrificial coupons, limiting the ability to correct defects in real-time.
Innovation Solution
An additive manufacturing system with in situ sensor analysis using a sensor device and compute device to measure the actual composition of byproducts during the build process, comparing it to an expected range, and adjusting the raw material composition in real-time to maintain desired properties, enabling continuous adaptability and corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional additive manufacturing processes are used without closed-loop controls, then the manufacturing process is simple and fast, but the material composition consistency and bulk material properties are poor
Solution Approach 1:
The patent implements a closed-loop feedback control system where sensor data from the deposition chamber is continuously monitored and fed back to adjust processing parameters in real-time, ensuring consistent material composition despite variations in evaporation rates of alloying elements
Solution Approach 2:
The system dynamically adjusts processing parameters such as deposition rate, temperature, and gas flow based on real-time sensor measurements of material composition, allowing the process to compensate for compositional drift and maintain precision
2Reliability
If post-deposition analysis is used to assess material properties, then the assessment is thorough, but the ability to correct defects in real-time is lost and sacrificial coupons are required
Solution Approach 1:
The system performs real-time monitoring and defect detection during the manufacturing process itself, enabling preliminary detection of compositional anomalies before the build is complete, allowing corrective action to be taken while production is ongoing
Solution Approach 2:
Real-time sensor feedback provides immediate information about material composition and process conditions, enabling continuous quality assessment without requiring post-deposition analysis or sacrificial test coupons
3Measurement precision
If high fidelity predictive models are used to design new materials for AM, then the material design accuracy is improved, but the requirement for extensive modeling and understanding of process parameters increases complexity
Solution Approach 1:
Real-time sensor data provides actual measurements of material composition and process conditions, enabling validation and calibration of predictive models with empirical data, thereby improving material design accuracy while reducing reliance on complex theoretical modeling
Solution Approach 2:
The patent replaces extensive computational modeling with direct physical measurement using sensors that monitor deposition processes and material properties in real-time, substituting complex virtual simulations with straightforward empirical observation
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 approach ensures consistent material composition and microstructural requirements, reducing part-to-part variation and defects, allowing for the production of components that meet specified ranges of material composition and performance, thereby enhancing the reliability and efficiency of additive manufacturing.
Implementation Method 1
compositional changes (such as between the raw material and bulk component) can occur due to higher or lower than expected evaporation of certain alloying elements
Data Source
AI summary
An additive manufacturing system includes an additive manufacturing (AM) device, a first sensor device, and a compute device. The AM device is configured to form a bulk component in a layer-by-layer manner, by at least iteratively depositing a first layer of raw material onto a working surface in a deposition chamber, consolidating the initial layer into an initial additive portion of the bulk component, then forming subsequent additive portions of the bulk component by depositing and consolidating a subsequent plurality of layers of the raw material onto the first additive portion. The first sensor device is configured to measure an actual composition of at least one first byproduct portion formed upon consolidation of one of the first or subsequent layers of raw material in the deposition chamber. The compute device includes a processor and a memory, and is communicatively coupled to the additive manufacturing device and first sensor device. The additive manufacturing device and compute device provide an in situ sensor analysis of the component while in a formation state during a build process by comparing an actual composition of the at least one first byproduct portion to an expected composition range stored in the memory.