Concurrent Exhibitions
Intelligent Asia
Series Exhibitions Intelligent Asia Thailand
English
Robot 3D Laser Cutting System
Model:
Category: Smart Factory
Exhibitor:
DA SHIANG AUTOMATION INDUSTRIAL CO., LTD.
Booth No: M1132
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Description
Backed by years of expertise in automation integration and metal processing, DS Technology presents the Robot 3D Laser Cutting System—an all-in-one solution combining high-precision industrial robots, offline programming, laser modules, and cloud-based monitoring. Specifically designed for complex 3D and irregular workpieces, it delivers high-efficiency and high-precision automated cutting performance.
(1) Modular Configuration for Flexible Integration Available in standard and advanced models, the system supports both single and dual-station setups. It can be flexibly configured based on cutting thickness, workpiece dimensions, and cycle time—ideal for both high-mix low-volume and mass production. (2) High-Precision Laser & Robot Integration Equipped with high-power fiber lasers (500W–12,000W) and 6-axis industrial robots, the system delivers cutting thickness up to 20mm and repeatability of ±0.03mm, ensuring clean, stable, and consistent results. (3) Smart Cutting Simulation & Path Planning Integrates Robotmaster offline programming and 3D scanning for intelligent path generation. This minimizes manual teaching and enhances efficiency in processing complex shapes. (4) DS Cloud AI Monitoring Platform Provides real-time monitoring of equipment status, uptime, and error alerts. Automatically records and analyzes cutting parameters to enable data-driven optimization and predictive maintenance. (5) Automation-Enhanced Features Supports rapid calibration, QR code-based program recall, automatic fixture positioning, and quick-change tooling—streamlining operations and reducing reliance on manual setup. (6) Easy Integration, Accelerated Transformation Whether for new production lines or existing system upgrades, the solution is easy to integrate and helps enterprises enhance cutting quality, improve productivity, and move toward intelligent manufacturing.
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