TY - GEN
T1 - Assessment of weld quality using control chart and frequency domain analysis
AU - Thekkuden, Dinu Thomas
AU - Christy, John Victor
AU - Mourad, Abdel Hamid I.
AU - Idrisi, Amir Hussain
N1 - Publisher Copyright:
Copyright © 2018 ASME.
PY - 2018
Y1 - 2018
N2 - Two novel techniques are proposed in this work to distinguish instantly the weld quality. The first technique is based on the recorded voltage during welding while the other is based on the recorded sound. Both voltage and sound are recorded using data acquisition system having 8 KHz sampling frequency and sound recorder respectively. The recorded data are analyzed immediately after welding process using control chart for voltage-based technique and frequency domain analysis for sound-based technique. The result of the first approach revealed that the sample points in the standard deviation or mean control chart scatter beyond the control limits for an unstable process at the defected region whereas they locate within the control limits for stable process. This prominent technique identifies the arc instability caused by the formation of internal minute porosities. The presence of these porosities is confirmed by the radiographic test. For the second technique, the frequency domain analysis of the welding sound proved to have peak magnitude at 216 Hz consistently for the quality welds. Multiple frequencies with significant absolute magnitude away from 216 Hz were the distinct feature observed for the unstable welds. The two methods are found to be highly adaptable for instant monitoring of the quality of the weld.
AB - Two novel techniques are proposed in this work to distinguish instantly the weld quality. The first technique is based on the recorded voltage during welding while the other is based on the recorded sound. Both voltage and sound are recorded using data acquisition system having 8 KHz sampling frequency and sound recorder respectively. The recorded data are analyzed immediately after welding process using control chart for voltage-based technique and frequency domain analysis for sound-based technique. The result of the first approach revealed that the sample points in the standard deviation or mean control chart scatter beyond the control limits for an unstable process at the defected region whereas they locate within the control limits for stable process. This prominent technique identifies the arc instability caused by the formation of internal minute porosities. The presence of these porosities is confirmed by the radiographic test. For the second technique, the frequency domain analysis of the welding sound proved to have peak magnitude at 216 Hz consistently for the quality welds. Multiple frequencies with significant absolute magnitude away from 216 Hz were the distinct feature observed for the unstable welds. The two methods are found to be highly adaptable for instant monitoring of the quality of the weld.
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U2 - 10.1115/pvp2018-85091
DO - 10.1115/pvp2018-85091
M3 - Conference contribution
AN - SCOPUS:85056884319
T3 - American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP
BT - Materials and Fabrication
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2018 Pressure Vessels and Piping Conference, PVP 2018
Y2 - 15 July 2018 through 20 July 2018
ER -