X-ray Pellet Ordering Verification in Thermal Batteries
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Solution Overview
Problem
Current methods for verifying the proper ordering of pellets in thermal batteries are inefficient, particularly due to the thinness and similarity in appearance of the pellets, making visual inspection challenging and automated visual inspection methods ineffective.
Innovation Solution
A system that irradiates each pellet with an energy beam, detects the radiation emissions, and analyzes them using a central processing unit to determine the correct stacking order, utilizing an x-ray source and spectrometer to differentiate between various types of pellets based on their radiation emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection methods are used to verify pellet ordering, then the inspection process is simple and low-cost, but the inspection accuracy is insufficient due to the thinness and similarity in appearance of the pellets
Solution Approach 1:
The patent replaces visual inspection methods (mechanical/optical system) with X-ray imaging technology. The X-ray source emits radiation through the pellet stack, and the imaging detector captures the transmitted radiation to create images that reveal pellet ordering. This substitution enables accurate detection of pellet positions and identities despite their visual similarity, resolving the contradiction between inspection accuracy and system complexity.
Solution Approach 2:
The patent changes the detection parameter from visual appearance (optical properties) to X-ray transmission characteristics. By using X-ray imaging, the system detects differences in pellet density, composition, and positioning that are not visible to the human eye or standard optical cameras. This parameter change enables accurate differentiation of pellet types and positions, improving inspection accuracy while providing automated detection capability.
2Extent of automation
If automated visual inspection with high resolution cameras is used, then the inspection is automated, but the same difficulties as manual visual inspection persist due to pellet thinness and similarity
Solution Approach 1:
The patent replaces automated visual inspection systems (optical cameras and image processing) with X-ray imaging technology. The X-ray source and imaging detector create transmission-based images that reveal internal pellet characteristics and positions regardless of their external appearance. This substitution achieves both automation and high accuracy by detecting pellet properties that are invisible to optical systems.
3Measurement precision
If X-ray imaging technology is used to verify pellet ordering, then inspection accuracy is improved and automation is achieved, but the device complexity increases
Solution Approach 1:
The patent implements X-ray imaging technology consisting of an X-ray source, imaging detector, and image analysis system. The X-ray source emits radiation through the pellet stack, the imaging detector captures the transmitted radiation patterns, and the image analysis software automatically interprets the images to verify pellet ordering. This integrated system achieves high inspection accuracy and full automation, with the added complexity justified by the significant improvement in detection capability compared to visual methods.
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 method provides an automated, non-visual inspection process capable of accurately verifying the proper ordering of pellets in thermal batteries, ensuring correct assembly and function without the limitations of visual techniques.
Implementation Method 1
irradiating each of the pellets in the thermal battery with an energy beam, wherein the pellets emit radiation in response to being irradiated
Data Source
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AI summary
A method of determining whether a stack of components in a device are in a desired order includes irradiating each of the components in the device with an energy beam. The radiation emissions from each of the irradiated components are detected with a radiation detector. The detected radiation emissions are analyzed using a central processing unit (CPU) to determine whether the components in the device are stacked in the desired order.