Prediction of weld data using process control based on surface temperature measurement for high-power energy flow processes

Gunnar Brueggemann; Thomas Benziger

doi:10.1117/12.253099

30 September 1996 Prediction of weld data using process control based on surface temperature measurement for high-power energy flow processes

Gunnar Brueggemann, Thomas Benziger

Author Affiliations +

Proceedings Volume 2888, Laser Processing of Materials and Industrial Applications; (1996) https://doi.org/10.1117/12.253099
Event: Photonics China '96, 1996, Beijing, China

Abstract

The main aim of this article is to obtain the correlation between the thermal cycle and the mechanical properties in the weld seam and the heat-affected zone of mild and stainless steels. Key targeted process is welding using electron beam, laser and plasma. Since these processes are characterized by high heating and cooling rates, wide temperature range, small heat affected zones, they are difficult to control and automize. As a consequence, the quality of the product varies over a large range. Because either temperature measurement on one spot or quasi steady- state surface temperature distribution in a large area are generally unsuitable, temperature gradients need to be controlled directly on-line with a high accuracy. This requires the use of a two dimensional temperature control. An infrared camera systems can be used in order to investigate the cooling process in the weld seam area as well as in the heat affected zone. On the one hand the aim of the experiments is the estimation of the microstructure, especially of the hardness distribution using welding-time- temperature-conversion-diagrams and equations of regression. On the other hand the observation of the cooling cycle allows trends of mechanical diagrams and equations of regression. On the other hand the observation of the cooing cycle allows trends of mechanical properties like stretch limit, tensile strength, breaking elongation to be predicted. Simultaneously it is possible to recognize and to localize pores, voids and bonding defects, losses in penetration, problems with gap and height, appearing during the cooling of the weld.

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Gunnar Brueggemann and Thomas Benziger "Prediction of weld data using process control based on surface temperature measurement for high-power energy flow processes", Proc. SPIE 2888, Laser Processing of Materials and Industrial Applications, (30 September 1996); https://doi.org/10.1117/12.253099

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