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Monitoring of Laser Material Processing and Developments of Tensile Strength Estimation Model Using photodiodes  

Park, Young-Whan (한양대학교 대학원 기계공학과)
Rhee, Se-Hun (한양대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.17, no.1, 2008 , pp. 98-105 More about this Journal
Abstract
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.
Keywords
Aluminum laser welding; Plasma; Photodiode; Monitoring; Neural network model;
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