Date Available
12-7-2018
Year of Publication
2018
Document Type
Master's Thesis
Degree Name
Master of Science in Electrical Engineering (MSEE)
College
Engineering
Department/School/Program
Electrical and Computer Engineering
Advisor
Dr. YuMing Zhang
Abstract
In gas tungsten arc welding (GTAW), weld pool surface contains crucial information for welding development. In this research, simulate skilled welders to control the welding process and determine the penetration stages based on the weld pool reaction.
This study focuses on solving the uncertainty of the liquid weld pool in joint bases. The weld pool penetration process is highly depending on how the weld pool surface shape. To observe the weld pool, reflect the weld pool surface by the laser and image on the shield glass. The experiments show that the penetration can’t be determine by the reflecting grayness due to the variability of base metal. To control the joint bases diversity, fed a tip of the wire after the arc is established. Crate the new pattern of the weld pool penetration. Experiments verified the feasibility of this method.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2018.473
Recommended Citation
Chen, Yu-Ting, "REAL-TIME IMAGE PATTERN SENSOR FOR WELD POOL PENETRATION THROUGH REFLECTION IN GTAW" (2018). Theses and Dissertations--Electrical and Computer Engineering. 130.
https://uknowledge.uky.edu/ece_etds/130
