• Journal of Welding and Joining
• /
• v.13 no.1
• /
• pp.156-166
• /
• 1995

Experimental models which are able to determine the deviation between weld line and weaving center by measuring the weld current during welding were proposed for the gas metal arc welding process. The models were used for developing a weld seam tracking system which controls the weaving speed of a welding torch. However, it was revealed that the tracking result of the system is affected by the welding conditions. Thus an arc sensor system was developed by using fuzzy control approach for overcoming the difficulty of modelling the nonlinear process. The rule base and parameters of the fuzzy control system were determined on the basis of the results of experiments. This fuzzy control system has shown the successful tracking capability for the wide operating range of welding conditions.

• Journal of Power System Engineering
• /
• v.6 no.4
• /
• pp.43-48
• /
• 2002

This paper presents a seam tracking controller of high speed rotating arc sensor developed by microprocessor based system. The seam tracking algorithm is based on the average current value at each interval region of four phase points on one rotating cycle. To remove the noise effect for the measured current, the area during one rotating cycle is separated into four regions of front, rear, left and right. The average values at each region are calculated, using the regional current values and a low pass filter incorporating the moving average and exponential smoothing methods is adopted. The effectiveness is proven through the experimental results for several kinds of welding condition.

• Journal of Welding and Joining
• /
• v.16 no.3
• /
• pp.44-54
• /
• 1998

In this study a new arc sensor algorithm for automatic weld seam tracking was proposed, which uses the relative welding current variation according to the tip-to-workpiece distance in GMA welding. Since the new developed arc sensor algorithm is not sensitive to unstable factors of arc signal, the system is expected to get rid of the problems of already existing arc sensor system which include the difficulty of modeling the process for various welding conditions and limitation of application to thick plate welding. Thus the system is applicable not only to thick plate welding but also to thin plate welding. To implement the new arc sensor algorithm the system parameters which include sampling time, averaging range, weighting factor of moving averaging, basic compensation time, and basic compensation distance were determined by experimental analysis. Consequently this system has shown the successful tracking capability for the various welding conditions.

• Proceedings of the KWS Conference
• /
• 2005.06a
• /
• pp.314-316
• /
• 2005

이 논문에서는 아크 용접시 발생하는 IR신호와 UV호의 상호 관계를 알아보려고 레이저 용접진단에 사용되는 IR-UV 센서 모니터링 시스템을 적용하였다. 그 결과 IR신호 크기는 용접폭에 관련이 있고, 펄스 형태의 UV신호는 IR신호 증가율이 임계값을 넘으면 나타나는 것을 알 수 있다.

• Proceedings of the KWS Conference
• /
• 1992.04a
• /
• pp.34-36
• /
• 1992

• Proceedings of the KWS Conference
• /
• 1995.10a
• /
• pp.97-100
• /
• 1995

• Proceedings of the KWS Conference
• /
• 1990.04a
• /
• pp.160-163
• /
• 1990

• Proceedings of the KWS Conference
• /
• 1998.05a
• /
• pp.200-203
• /
• 1998

• Proceedings of the KWS Conference
• /
• 1994.10a
• /
• pp.123-126
• /
• 1994

• Proceedings of the KWS Conference
• /
• 1994.10a
• /
• pp.127-129
• /
• 1994