DONGGUAN YIHEDA AUTOMATION CO.,LTD.
DONGGUAN YIHEDA AUTOMATION CO.,LTD.
Aug 03,2019

Application of Industrial Robot Integration

Robot is not only the representative of advanced manufacturing industry, but also the key development area determined by "Made in China 2025". Next, we will introduce what progress has been made in the application research of industrial robot integration in our country.

1.Multi-Robot Dual-Beam Laser Welding System

R&D background:
To solve the problems of inaccurate location of workpiece, large error of manual teaching and low efficiency in welding of integral ribbed panels (curved surface, variable cross-section, sandwich structure).

Key technologies for breakthroughs:

Automatic Location and Tracking of Laser Weld
Multi-Robot Cooperative Control Technology
Terminal Actuator Design and Integration Technology

2. Robot Grinding System for Complex Metal Structures

R&D background:
It is aiming at the problems of poor quality stability and consistency in manual grinding of aircraft and engine metal parts. Reduce the intensity of labor and improve the working environment. It is used for grinding, removing and polishing edge burrs, technological lapping, cutting and shaking marks, splicing marks, etc. produced after NC machining of aircraft and engine structural parts.

Core technologies:
Passive Compliant Grinding and Polishing Technology Based on Force Control

3.Robot Grinding and Polishing System for Composite Composite Component Surface

R&D background:

It aims at the characteristics and difficulties of thin wall, weak rigidity, no accurate clamping datum, easy deformation after clamping, uneven thickness distribution of putty layer, difficult to detect on-line, and the color of the bottom layer is inconsistent. It meets the needs of polishing resin and putty layers.

Core technologies:

Resin Layer Polishing
Constant Force Terminal Actuator Structure and Control Technology
Flexible Adaptive Tooling Technolog
Putty Layer Polishing
On-line Measurement and Control Technology of Grinding Quality Based on Visual Recognition