Intelligent Pipe Cutting and Beveling System

Intelligent Cutting and Groove System for Pipe Prefabrication


model: PSEBS-24Aa


Equipment composition


1. CNC end face beveling machine for pipelines


2. Roller lifting and conveying system


3. PLC motion control system (11500)


4. QR code data collector


Поделение мнений:

Преимущество:

Applicable production line

Core Intelligence/Scan Code Adjustment Program Pipeline Prefabrication Semi Intelligent Production Line


Applicable groove

V-shaped, U-shaped, VV shaped, VU shaped, etc


Applicable process

Straight pipe longitudinal roller conveyor, straight pipe left and right clamp clamping, scanning code reading

Data tuning program, CNC bevel for straight pipe end face


Scope of application

DN100-600 (diameter) × 5-60mm (wall thickness)


Achieve goals

The intelligent cutting and beveling system for pipe prefabrication is an efficient and precise machining system that is intelligently transformed and optimized for pipe cutting and beveling processes. The intelligent cutting and beveling system for prefabricated pipes integrates advanced automation, digitization, and intelligence technologies, mainly used for pipe cutting and beveling processing. The system achieves precise control and optimization of pipe cutting and groove processing processes through a high-precision control system and efficient processing equipment.

The intelligent cutting groove system significantly improves processing quality and efficiency through the integrated application of high-precision control system and efficient processing equipment. Reduced manual operations, material loss, and rework rates, thereby lowering production costs. The use of enclosed machine tool protective covers and safety doors and other safety measures effectively isolates hazardous sources such as iron filings and chip liquid splashes, improving the safety of the machining process. Through intelligent management and optimization functions, real-time monitoring and data analysis of the machining process have been achieved, optimizing the production management process.