Low-Z Target X-Ray Source for Mobile Cargo Inspection
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Solution Overview
Problem
Current X-ray inspection systems for detecting high-atomic-number materials are limited by their large, heavy, and cumbersome design, which hinders their mobility and effectiveness in rapidly scanning cargo and vehicles, especially in urban areas, and they often produce unclear images due to superimposed objects and high false alarm rates.
Innovation Solution
A mobile X-ray inspection system with a reduced size and weight, featuring an electron beam generator, accelerator, and magnetic elements that focus X-rays onto high-density areas within the scanned object, utilizing a low-atomic-number target to minimize shielding requirements and enhance vertical scanning capabilities, integrated with a neutron subsystem for improved material separation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional X-ray inspection systems use high-atomic-number targets with extensive shielding, then detection capability for high-Z materials is improved, but system weight and size increase significantly
Solution Approach 1:
The patent changes the atomic number parameter of the target material from high-Z (e.g., tungsten) to low-Z (e.g., graphite, carbon). This parameter change fundamentally alters the X-ray generation characteristics, producing a forward-peaked angular distribution that requires minimal shielding while maintaining detection capability through dual-energy imaging techniques
Solution Approach 2:
The patent extracts and removes the extensive shielding components that are characteristic of conventional high-Z target systems. By using low-Z targets with forward-peaked X-ray distribution, the system eliminates the need for heavy lateral and backward shielding, reducing system weight while maintaining operational effectiveness
2Weight of moving object
If low-atomic-number targets are used to reduce shielding weight, then system mobility is improved, but vertical scanning coverage is insufficient
Solution Approach 1:
The patent introduces dynamic beam steering capabilities using magnetic fields to deflect the electron beam at different angles onto the low-Z target. This dynamic adjustment allows the forward-peaked X-ray beam to be redirected and swept across the vertical extent of the cargo, achieving comprehensive vertical scanning coverage while maintaining the mobility benefits of low-Z targets
Solution Approach 2:
The patent introduces magnetic field deflectors as intermediary components between the electron beam source and the target. These deflectors act as mediators that control the angular distribution of the electron beam, shaping the X-ray output to achieve both forward-peaked characteristics for reduced shielding and sufficient vertical coverage for comprehensive scanning
3Productivity
If conventional X-ray systems operate at high throughput, then productivity is improved, but operator fatigue and false alarm rates increase
Solution Approach 1:
The patent changes the energy parameter of the X-ray beam by using low-Z targets that naturally produce a different spectral distribution compared to high-Z targets. Combined with dual-energy imaging techniques, this parameter change enables automated material discrimination algorithms to more reliably distinguish between high-Z threat materials and benign substances, reducing false alarms even at high throughput
Solution Approach 2:
The patent replaces the mechanical/visual interpretation process with automated computational analysis. The dual-energy imaging system captures data that is processed by algorithms to automatically identify and classify materials, substituting operator interpretation with automated detection that maintains high reliability at elevated throughput levels
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 achieves enhanced operational flexibility, improved image clarity, and reduced false alarms by focusing X-rays on high-density areas, allowing for efficient scanning of large vehicles and cargo with minimal environmental radiation exposure, while the neutron subsystem aids in precise material identification.
Implementation Method 1
The emitted electrons are accelerated towards a target. The electron beam strikes the target at a focal spot and some portion of the kinetic energy contained within the electron beam is converted into X-rays.
Implementation Method 2
a first set of magnetic elements for transporting said electron beam into a magnetic field created by a second set of magnetic elements; wherein the magnetic field created by said second set of magnetic elements causes said electron beam to strike a target such that the target substantially only generates X-rays focused toward a high density area in the scanned object
Implementation Method 3
Materials with high atomic number (Z>70) are characterized by the high attenuation of x-rays having energies in the high end of the X-ray spectrum, and in particular, energies in the range of 2-10 MeV, due to a process called e+/e− pair production.
Data Source
AI summary
An inspection system for scanning cargo and vehicles is described which employs an X-ray source that includes an electron beam generator, for generating an electron beam; an accelerator for accelerating said electron beam in a first direction; and, a first set of magnetic elements for transporting said electron beam into a magnetic field created by a second set of magnetic elements, wherein the magnetic field created by said second set of magnetic elements causes said electron beam to strike a target such that the target substantially only generates X-rays focused toward a high density section in the scanned object, which is estimated in a second pulse using image data captured by a detector array in a first pulse. The electron beam direction is optimized by said X-ray source during said second pulse to focus X-rays towards said high density section based on said image data in said first pulse.


