Como profesional CNC machining service provider, AOOM Technology understands that precision is a critical factor for engineers, procurement managers, and business owners when selecting machining solutions. This article explores the general machining accuracy achievable with CNC technology and how AOOM ensures top-tier results for your projects.
El estándar machining accuracy of CNC equipment typically ranges between ±.005 mm to ±.1 mm (±.0002" to ±.004"), depending on multiple factors including machine type, material properties, tooling, and process control. High-end CNC machines can achieve even tighter tolerances down to ±.001 mm (±.00004") for specialized applications.
1. Machine Quality: Our ISO-certified facility utilizes advanced 5-axis CNC mills and Swiss-type lathes with rigid constructions and thermal compensation systems.
2. Tooling Selection: AOOM employs premium carbide end mills and diamond-tipped tools for exceptional wear resistance.
3. Material Characteristics: Different materials (aluminum, titanium, plastics) require specific machining strategies to maintain dimensional stability.
4. Process Engineering: Our technicians optimize cutting parameters, fixturing, and tool paths for each project.
En AOOM Technology (https://www.aoomtech.com/), entregamos constantemente piezas con:
- Standard tolerance: ±.02 mm (±.0008")
- High-precision tolerance: ±.005 mm (±.0002")
- Ultra-precision tolerance: Upon request with specialized equipment
Nuestro CNC machining services incorporate advanced metrology equipment including CMMs and optical comparators to verify every dimension against your specifications. We maintain rigorous quality control procedures to ensure repeatable accuracy across production runs.
Desde componentes aeroespaciales que requieren precisión a nivel de micras hasta dispositivos médicos con geometrías complejas, nuestras capacidades apoyan a industrias donde la precisión no es negociable. Póngase en contacto con AOOM Technology hoy para discutir cómo podemos cumplir con sus requisitos de tolerancia específicos mientras optimizamos la eficiencia de la producción.