Aolong Multi-Mode X-ray Computed Tomography System

Overview

The Aolong Multi-Mode X-ray Computed Tomography (CT) System is a high-flexibility, research-grade industrial CT platform engineered for non-destructive 3D internal structure characterization and quantitative volumetric analysis. Based on cone-beam geometry and leveraging advanced X-ray physics principles—including attenuation-based contrast generation, geometric magnification, and energy-dependent absorption cross-section differentiation—the system supports multiple acquisition geometries: full-angle cone-beam CT, helical cone-beam CT, planar (laminographic) CT, limited-angle CT, and dual-energy spectral CT. Its core architecture integrates a motorized precision rotation/translation stage, multi-focal-spot X-ray source options (micro-focus ≤ 5 µm, small-focus ≤ 50 µm, large-focus ≤ 1 mm), and a high-dynamic-range flat-panel detector array with pixel pitch down to 75 µm. Designed for laboratory and production-integrated environments, the system enables both offline high-resolution metrology and inline process monitoring workflows in compliance with ISO/IEC 17025 traceability frameworks.

Key Features

• Multi-geometry scanning capability: configurable cone-beam, helical, laminographic, and limited-angle acquisition modes
• Triple focal-spot X-ray source support: micro-focus (for sub-micron resolution imaging), small-focus (for balanced throughput/resolution), and large-focus (for high-power penetration of dense components)
• Dual-energy spectral acquisition mode: simultaneous low/high kVp projections enabling material decomposition, effective atomic number (Z_eff) mapping, and density quantification
• Real-time 2D/3D defect recognition engine: AI-accelerated convolutional neural network (CNN) pipeline trained on annotated industrial defect datasets (voids, cracks, inclusions, porosity)
• Fully integrated reconstruction framework: GPU-accelerated filtered back-projection (FBP), iterative SART, and model-based MBIR algorithms with optional regularization for low-dose or sparse-angle scenarios
• Dynamic in-situ imaging mode: continuous time-resolved tomography (4D-CT) at frame rates up to 30 volumes per second for thermal, mechanical, or fluidic process monitoring

Sample Compatibility & Compliance

The system accommodates samples ranging from miniature electronic packages (<5 mm diameter) to large-scale aerospace castings (up to Ø400 mm × H600 mm). It supports metallic (Al, Ti, Cu, steel), composite (CFRP, GFRP), ceramic, polymer, and geological specimens. All operational modes adhere to IEC 61331-1:2014 (X-ray equipment safety), ISO 15739:2017 (noise measurement), and ASTM E2737-21 (standard practice for industrial CT data acquisition and reconstruction). For regulated industries, the software architecture supports audit trails, electronic signatures, and 21 CFR Part 11–compliant user access control—enabling deployment in GLP/GMP environments for qualification of additive manufacturing parts, battery electrode integrity, or medical device packaging validation.

Software & Data Management

Aolong CT Suite v5.x provides end-to-end workflow management—from scan planning and beam hardening correction to quantitative volume rendering, dimensional metrology (per ISO 12179-2:2021), and statistical defect clustering. Raw projection data is stored in DICOM-RT and HDF5 formats; reconstructed volumes are exportable as NIfTI, STL, or voxel-based VTK files. The platform includes Python API integration for custom algorithm development and supports automated reporting via configurable templates compliant with ASME BPVC Section V, Article 24, and EN 13018:2020. Data provenance is maintained through embedded metadata including source voltage/current, filtration, detector gain settings, and reconstruction parameters—ensuring full reproducibility across laboratories.

Applications

• Materials science: pore network analysis, grain boundary mapping, phase distribution in multiphase alloys, and in-situ deformation studies under mechanical loading
• Electronics: solder joint voiding quantification, wire bond integrity assessment, and package delamination detection in flip-chip assemblies
• Aerospace: turbine blade cooling channel inspection, investment casting porosity grading, and composite layup verification
• Automotive: battery cell electrode thickness uniformity, EV motor stator winding inspection, and lightweight alloy weld quality evaluation
• Cultural heritage: non-invasive artifact stratigraphy analysis, corrosion layer thickness measurement, and restoration material compatibility assessment
• Quality assurance: first-article inspection, statistical process control (SPC) of critical dimensions, and failure root cause analysis (RCA) in FA labs

FAQ

What is the minimum achievable spatial resolution in micro-focus mode?
Typical system MTF-based resolution is 2–3 µm at 10% contrast under optimal geometric magnification and exposure conditions. Actual resolution depends on sample size, source-detector distance, and reconstruction kernel selection.
Does the system support automated pass/fail classification per customer-defined defect thresholds?
Yes—via configurable rule-based logic combined with deep learning classifiers trained on customer-supplied ground-truth datasets. Classification outputs include confidence scores, 3D defect coordinates, and ISO 25178-compliant surface texture overlays.
Can the dual-energy mode distinguish between aluminum and magnesium alloys in mixed-material assemblies?
Yes—dual-energy ratio analysis enables robust Z_eff separation between Al (Z=13) and Mg (Z=12), especially when combined with calibrated phantom-based calibration and scatter correction.
Is remote operation and monitoring supported for multi-site R&D teams?
The system includes secure TLS-encrypted web interface for real-time status monitoring, remote scan queue management, and collaborative annotation of reconstructed volumes using role-based permissions.
What documentation is provided for regulatory submissions in FDA-regulated industries?
Full IQ/OQ/PQ protocols, traceable calibration certificates (NIST-traceable reference phantoms), software validation reports (including cybersecurity risk assessment per IEC 81001-5-1), and raw data archiving procedures compliant with 21 CFR Part 11 Subpart B.