TY - GEN
T1 - Dynamic neuro-fuzzy estimation of the weld penetration in GTAW process
AU - Liu, Yukang
AU - Zhang, Weijie
AU - Zhang, Yuming
PY - 2013
Y1 - 2013
N2 - The weld pool contains abundant information about the welding process and can thus be utilized to accurately monitor the weld penetration. This paper addresses the dynamic estimation of the weld penetration in GTAW process. A machine vision based weld pool sensing system is utilized and the 3D weld pool surface is reconstructed in real-time. Various dynamic experiments under different welding conditions are conducted to acquire data pairs for establishing the correlation between the front-side weld pool characteristic parameters and the weld penetration specified by its back-side bead width. Due to the substantial inertia of the welding process, the weld penetration can be more accurately estimated if the adjacent weld pools are used. Hence, a nonlinear dynamic Adaptive Neuro-Fuzzy Inference System (ANFIS) model is developed to estimate the weld penetration in real-time. It is found that the weld penetration can be estimated with satisfactory accuracy by the proposed online monitoring system.
AB - The weld pool contains abundant information about the welding process and can thus be utilized to accurately monitor the weld penetration. This paper addresses the dynamic estimation of the weld penetration in GTAW process. A machine vision based weld pool sensing system is utilized and the 3D weld pool surface is reconstructed in real-time. Various dynamic experiments under different welding conditions are conducted to acquire data pairs for establishing the correlation between the front-side weld pool characteristic parameters and the weld penetration specified by its back-side bead width. Due to the substantial inertia of the welding process, the weld penetration can be more accurately estimated if the adjacent weld pools are used. Hence, a nonlinear dynamic Adaptive Neuro-Fuzzy Inference System (ANFIS) model is developed to estimate the weld penetration in real-time. It is found that the weld penetration can be estimated with satisfactory accuracy by the proposed online monitoring system.
KW - ANFIS
KW - GTAW
KW - Penetration estimation
KW - dynamic
KW - nonlinear
UR - http://www.scopus.com/inward/record.url?scp=84882263489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84882263489&partnerID=8YFLogxK
U2 - 10.1109/I2MTC.2013.6555640
DO - 10.1109/I2MTC.2013.6555640
M3 - Conference contribution
AN - SCOPUS:84882263489
SN - 9781467346221
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
SP - 1380
EP - 1385
BT - 2013 IEEE International Instrumentation and Measurement Technology Conference
T2 - 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013
Y2 - 6 May 2013 through 9 May 2013
ER -