Adaptive Control of Weld Penetration and Trajectory for Robotic GTAW
A statistical-adaptive control method for weld bead penetration and joint following in Tungsten Inert Gas Welding as an approach to process control of robotic GTAW has been designed and the sections related to joint following and prediction of the bead width as well as penetration depth were simu...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English |
| Published: |
1996
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/9992/1/FK_1996_6_A.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | A statistical-adaptive control method for weld bead penetration and joint
following in Tungsten Inert Gas Welding as an approach to process control of
robotic GTAW has been designed and the sections related to joint following
and prediction of the bead width as well as penetration depth were simulated.
Weld process parameters such as base current and time, pulse current and time,
electrode tip to workpiece distance, filler traveling speed, torch speed and
workpiece thickness were used for finding the equations which describe the
interrelationship between the aforementioned variables and penetration depth
as well as bead width. These equations were developed from the statistical
regression analysis of 80 welds deposited using various combinations of
welding parameters. For monitoring of workpiece thickness variations, an
ultrasonic device was used. In order to accurately control the weld trajectory, a CCD camera was
used. The results showed that the misalignment of the progressive heat affected
zone which is adjacent to the weld puddle can be detected and used for control
of the weld trajectory. Also, it was found that scanning of a certain region of the
captured image in front of the weld puddle decreases the data processing time
drastically.
In continuation of this work, a cascade control system for control of
welding velocity as well as an algorithm for off·line generation and control of
weld 3-D trajectory was developed. |
|---|