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In modern defense logistics, a critical data point has shifted industry standards: approximately 70% of a weapon system’s operational effectiveness depends on its cleaning precision. Even a carbon buildup of more than 3μm in a rifle bore can lead to significant ballistic deviation.
As a leading Military Grade Brush Manufacturer, AOQUN leverages decades of defense-sector experience to provide specialized cleaning solutions for small arms, heavy artillery, and naval cannons. We don’t just provide brushes; we build the foundation for equipment reliability and mission success.

AOQUN has developed a patented, pressure-sensing Gun Barrel Cleaning Brush (Patent No.: ZL202411833078.1). This innovation utilizes a high-precision spiral arrangement to ensure millimeter-level cleaning accuracy in critical components.
Field data from modern infantry and artillery units show that utilizing AOQUN’s precision brushes results in:
Through deep R&D collaboration with leading universities, AOQUN has integrated computer vision and high-molecular polymer materials into our manufacturing process. This ensures our Gun Bore Brushes excel under extreme conditions:

Rapid Response for Defense Procurement
Recognizing the critical nature of defense logistics, AOQUN has established a “Green Channel” for military-grade procurement and customization:
| Phase | Timeline | Action Item |
| Analysis | 1 Day | Requirements Analysis & Digital Modeling |
| Validation | 3 Days | Material Adaptation & 3D Verification |
| Delivery | 7 Days | Mass Production & On-site Deployment |
Beyond rapid delivery, we provide our strategic partners with Confidential Customization Services, 24-hour emergency response, and end-to-end technical support to ensure the integrity of the defense supply chain.
AOQUN remains committed to driving innovation in the defense sector. By continuously iterating our “Smart Brush” technologies, we respond to the modernization needs of global equipment support systems, contributing to the full-lifecycle management of high-value military assets.

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