Radiation Sensor Dimension Quantification via Digital Modeling
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Solution Overview
Problem
Current methods for quantifying the intrinsic dimensions of radiation sensors are difficult to implement, require precise knowledge of sensor components, and are prone to calibration errors, making it challenging to accurately digitize sensor responses and calculate calibration coefficients for ionizing radiation spectrometers.
Innovation Solution
A method and device that use a block diagram of the sensor, a multifrequency radiation source, and experience plans theory to determine influential elements and optimize sensor dimensions, allowing for automated and accurate calibration without requiring precise dimensional readings or high-resolution imagery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to quantify intrinsic dimensions of radiation sensors, then measurement precision can be achieved, but device complexity and difficulty of implementation increase significantly
Solution Approach 1:
The invention creates a digital copy (virtual model) of the radiation sensor that replicates its geometric and physical characteristics. This digital model allows for virtual measurements and simulations without requiring complex physical measurement apparatus, thereby maintaining measurement precision while significantly reducing implementation complexity
Solution Approach 2:
The invention replaces complex mechanical measurement systems with computational methods. Instead of using elaborate physical apparatus to measure intrinsic dimensions, the system uses software-based modeling and calculation methods to determine sensor characteristics, thereby reducing device complexity while maintaining measurement accuracy
2Manufacturing precision
If precise knowledge of sensor component dimensions is obtained through traditional methods, then manufacturing precision is improved, but loss of time and productivity decrease
Solution Approach 1:
The invention performs preliminary digital modeling and dimension analysis during the design and fabrication stages. By establishing a digital twin of the sensor early in the manufacturing process, all necessary dimensional information is available before final assembly, eliminating time-consuming post-manufacturing measurements and iterations
Solution Approach 2:
The digital model serves as a persistent copy of the sensor's geometric information that can be accessed and analyzed at any stage of manufacturing without requiring physical remeasurement. This allows manufacturing precision to be maintained while dramatically reducing the time required for dimension quantification
3Reliability
If traditional calibration methods are used for radiation sensors, then reliability of calibration coefficients can be achieved, but device complexity and specialization requirements increase
Solution Approach 1:
The invention uses a digital copy of the sensor to perform virtual calibration experiments and calculate calibration coefficients. This digital modeling approach maintains the reliability of calibration by accurately representing the sensor's physical behavior while eliminating the need for complex physical calibration apparatus and specialized expertise
4Manufacturing precision
If detailed dimensional measurements of sensor components are performed, then manufacturing precision is improved, but ease of operation and accessibility decrease
Solution Approach 1:
The digital model provides accessible, detailed dimensional information about sensor components without requiring physical measurement operations. Users can query the digital twin for any dimensional parameter needed, making manufacturing precision data easily accessible while eliminating the operational complexity of physical measurements
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 simplifies and robustly automates the process of creating a digital model of radiation sensors, reducing calibration errors and enabling efficient quantification of sensor responses, even for complex sensors like hyper-pure germanium detectors, with improved detection efficiency and reduced reliance on expert specialists.
Implementation Method 1
a radiation source with various frequencies and therefore various energies
Data Source
AI summary
A method for quantifying intrinsic dimensions of radiation sensors, particularly ionizing radiation sensors, and a device for implementing the method. The method for quantifying the intrinsic dimensions of a radiation sensor includes: defining and modeling the sensor using a schematic diagram of the sensor, determining via numerical computation and via experimental design theory elements that affect the sensor, measuring various specific spatial positions around the sensor, via a multi-frequency calibration source of the radiation, and designing, via experimental design theory, the elements that affect a response of the sensor.