Robotic X-ray CT Scanner for Core Sample Motion Compensation
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Solution Overview
Problem
Traditional computed tomography (CT) scanning of core samples faces challenges due to the heavy weight and movement of core samples, as well as the logistical difficulties of accommodating high temperature, high pressure lines, leading to inaccuracies and corruption of 3D images.
Innovation Solution
The implementation of a complex scanning motion using robotic arms to move the X-ray emitter and detector in a curvilinear path, allowing for precise tracking and compensation of object motion without the need for separate motion capture systems, and the use of non-linear two-dimensional high-pass filters to enhance marker detection and calculate projective transformation matrices for accurate CT reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If core samples are mounted in metal sleeves with rubber liners for stability, then the core samples are protected and held in place, but the cores can move when repositioned causing image corruption
Solution Approach 1:
The system transitions from a static scanning approach to a dynamic one by implementing real-time motion tracking and compensation. The scanner detects core sample movement during scanning and dynamically adjusts the scanning trajectory and reconstruction algorithm to compensate for the displacement, thereby maintaining image accuracy despite core repositioning
Solution Approach 2:
The system incorporates motion tracking that provides feedback on core sample position during scanning. This feedback loop enables the system to detect and compensate for core movement in real-time, resolving the contradiction between core stability and image accuracy
2Productivity
If traditional CT scanners are used to scan heavy core samples, then the scanning can be performed, but it is difficult to move core samples into position
Solution Approach 1:
The system replaces manual mechanical positioning with an automated robotic arm that can precisely position heavy core samples. The robotic arm substitutes human effort, making it easy to move and position heavy cores into the scanning area without manual handling
3Measurement precision
If separate motion capture systems are used to track core movement, then motion can be detected, but the system complexity increases
Solution Approach 1:
The system merges the motion tracking functionality directly into the CT scanner itself. The scanner is designed to simultaneously perform imaging and motion detection using integrated sensors and algorithms, eliminating the need for separate external motion capture systems while maintaining tracking accuracy
4Adaptability or versatility
If high temperature, high pressure lines are accommodated during scanning, then core sample testing can be performed, but logistical challenges increase
Solution Approach 1:
The scanning system is designed with universal accommodation for high temperature and high pressure testing equipment. The system can handle core samples with connected testing apparatus, integrating multiple functions (scanning, temperature control, pressure control) into a single versatile platform that reduces logistical coordination between separate systems
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 improves spatial resolution and reduces image corruption by ensuring all areas of the Fourier spectrum are defined, allowing for precise and non-invasive analysis of core samples without requiring a priori calibration or separate motion capture systems.
Implementation Method 1
CT uses an X-ray source and a corresponding X-ray detector to scan an object from a number of different positions or angles
Data Source
AI summary
A method for X-ray computed tomography includes a robotic arm that moves an X-ray emitter around a subject in a curvilinear path and an X-ray detector that captures 2-dimensional views while the subject is scanned. Movements of the emitter and detector are coordinated such that the position and angle of the emitter relative to the detector remains substantially constant during scanning. A processor uses computed tomography to reconstruct an image of the subject from the captured 2-dimensional views. The robotic arm varies the pitch of the X-ray emitter during the scan to enhance the spatial resolution of the reconstructed image. The processor generates a projection transformation matrix based on movement of the robotic arm for each captured 2-dimensional view that is applied during reconstruction.