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광센서를 이용한 레이저 가공공정의 모니터링과 인장강도 예측모델 개발
Monitoring of Laser Material Processing and Developments of Tensile Strength Estimation Model Using photodiodes

박영환   (한양대학교 대학원 기계공학과UU0001519  ); 이세헌   (한양대학교 기계공학부UU0001519  );
  • 초록

    In this paper, the system for monitoring process of aluminum laser welding was developed using the light signal emitted from the plasma which comes from interaction between material and laser. Photodiode for monitoring system was selected based on the spectrum analysis of light from plasma and keyhole. Behavior of plasma and keyhole was analyzed through the sensor signals. Value of sensor signal represented the light intensity and fluctuation of signal indicated the stability of plasma and keyhole. For the relation between welding condition and sensor signals, the input power and weld geometry greatly effected on the average of each sensor signals. Using the feature values of signals, estimation model for tensile strength of weld was formulated with neural network algorithm. Performance of this model was verified through coefficient of determination and average error rate.


  • 주제어

    알루미늄 레이저 용접 .   플라즈마 .   포토다이오드 .   모니터링 .   신경 회로망 모델.  

  • 참고문헌 (14)

    1. Jon, M. C., 'Noncontact Acoustic Emission Monitoring of Laser Beam Welding,' Welding Journal, Vol. 63, No. 9, pp. 43-48 
    2. Chen, H. B., Li, L., Brookfield, D. J., Williams, K., and Steen, W. M., 1991, 'Laser Process Monitoring with Dual Wavelength Optical Sensors,' Proceeding of ICALEO '91, pp. 113- 122 
    3. Mori, K., Sakamoto, H., and Miyamoto, I., 1996, 'Detection of Weld Defects in Tailored Blanks,' Journal of Japan Welding Society, Vol. 14, No. 4, pp. 689-693 
    4. Park, H., and Rhee, S, 1999, 'Analysis of Mechanism of Plasma and Spatter in $CO_2$ Laser Welding,' Optics and Laser Technology, Vol. 31, No. 2, pp. 119-126 
    5. Park, Y. W., Rhee, S., and Lee, C., 2007, 'Effect of Filler Wire for the Weld Characteristic in Nd:YAG Laser Welding of AA5182 Aluminum Alloy,' Proceedings of International Welding and Joining Conference - Korea, pp. 392 
    6. Gatzweiler, W., Maischner, D., and Beyer, E., 1988, 'On-line Diagnostics for Process-control in Welding with $CO_2$ Lasers,' High Power $CO_2$ Laser System & Applications, SPIE 1020, pp. 142-148 
    7. Miyamoto, I., Kamimuki, K., Maruo, H., Mori, K., and Sakamoto, M., 1993, 'In-Process Monitoring in Laser Welding of Automotive Parts,' Proceeding of ICALEO'93, pp. 413-424 
    8. Park, Y. W., Park, H. S., and Rhee, S., 2004, 'Analysis on Behavior of Keyhole and Plasma using Photodiode in Laser Welding of Aluminum 6000 Alloy,' Journal of Korean Society of Laser Processing, Vol. 7, No. 3, pp. 11-24 
    9. Park, H., and Rhee, S., 1999, 'Estimation of Weld Bead Size in $CO_2$ Laser Welding by Using Multiple Regression and Neural Network,' Journal of Laser Applications, Vol. 11, No. 3, pp. 143-150 
    10. Miyamoto, I., and Mori, K., 1995, 'Development of In-process Monitoring System for Laser Welding,' Proceeding of ICALEO'95, pp. 759-767 
    11. Maischner, D., Drenker, A., Seidel, B., Abels, P., and Beyer, E., 1991, 'Process Control During Laser Bean Welding,' Proceeding of ICALEO'91, pp. 150-155 
    12. Farson, D., Ali, A., and Sang, Y., 1998, 'Relationship of Optical and Acoustic Emission to Laser Weld Penetration,' Welding Journal, Vol. 77, No. 4, pp. 142s-148s 
    13. Park, H., and Rhee, S., 2001, 'Development of a Weld Quality Monitoring System in $CO_2$ Laser Welding by Using Photodiode,' Journal of Laser Applications, Vol. 13, No. 1, pp. 12-18 
    14. Sun, A., and Kannatey-Asibu, Jr., E., 2001, 'Sensor System for Real-time Monitoring of Laser Weld Quality,' Journal of Laser Applications, Vol. 11, No. 4, pp. 153-168 
  • 이 논문을 인용한 문헌 (1)

    1. Park, Young-Whan 2012. "Weld Process Monitoring Technology in Laser Welding" 大韓溶接·接合學會誌 = Journal of the Korean Welding and Joining Society, 30(1): 27~32     

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