Powder Bed Measuring Region Selection for Stable Additive Manufacturing
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Solution Overview
Problem
Existing methods struggle to automatically and flexibly select measuring regions for system parameters in additive manufacturing devices, especially in powder material layers, due to unpredictable defects and varying object locations, leading to reduced flexibility and stability in the building process.
Innovation Solution
A method that automatically evaluates multiple input states to determine measuring regions in real-time, using computational methods to identify suitable areas for system parameter measurement while avoiding regions with defects or objects, ensuring flexibility and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If measuring regions are defined in advance rigidly, then measurement consistency is improved, but flexibility in defining build jobs deteriorates
Solution Approach 1:
The patent implements dynamic determination of measuring regions by evaluating multiple input states (object position, powder bed condition, defect locations) in real-time during the building process. The control device automatically adjusts measuring region locations based on current layer characteristics, transitioning from static pre-defined regions to dynamic adaptive regions that respond to actual process conditions.
2Measurement precision
If measuring regions are selected manually in real time, then measurement accuracy is improved, but automation level deteriorates
Solution Approach 1:
The control device performs self-service by automatically evaluating input states and determining optimal measuring regions without manual intervention. The system uses algorithms to assess object position, powder bed uniformity, and defect locations, then autonomously selects measuring regions that satisfy all boundary conditions, eliminating the need for manual real-time selection while maintaining high measurement accuracy.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring the building process state through multiple input states and using this information to adjust measuring region selection. The control device receives feedback about object position, powder bed conditions, and defect locations, then uses this feedback to dynamically determine appropriate measuring regions for each layer.
3Productivity
If measurements are performed in regions with defects, then productivity is improved, but measurement reliability deteriorates
Solution Approach 1:
The patent extracts or excludes defective regions from the set of candidate measuring regions by evaluating powder bed conditions and object defect locations as input states. The control device identifies regions with defects (such as uneven powder distribution, contaminants, or object defects) and automatically excludes these regions from measurement considerations, ensuring that only reliable regions are selected for measurements.
4Reliability
If multiple boundary parameters are considered for measuring region selection, then measurement reliability is improved, but device complexity deteriorates
Solution Approach 1:
The control device performs multiple functions by integrating evaluation of various input states (object position, powder bed uniformity, defect detection) into a single unified system. The same control device that manages the additive manufacturing process also handles measuring region determination, boundary condition evaluation, and measurement coordination, eliminating the need for separate dedicated systems and reducing overall device complexity.
Data Source
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AI summary
The invention relates to a method for measuring at least one system parameter in a manufacturing device (1) for additively manufacturing objects from a powder material (5), the method comprising: - evaluating at least two input states for a powder material layer; - determining at least one measuring region in the powder material layer depending on the evaluation of the at least two input states, and - measuring the at least one system parameter in the determined at least one measuring region.