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         "abstract": "To achieve sustainable development in today's production facilities, quality assurance of manufacturing processes, such as laser welding is very important. In particular, online monitoring for direct detection of defective products is especially important. To develop a method for detecting pores during the process, this paper investigates the influence of pores on the temperature field during laser beam welding of AlMg3. Numerical simulations were carried out to theoretically investigate the influence of the pores in the weld seam on the temperature field and experiments were carried out to validate the simulations. The simulations show a clear influence of the pores on the temperature field, making the measurement of the temperature field suitable as a detection method. The detection of the pores from the measured thermal radiation turned out to be difficult because of the huge influence of the seam surface geometry on the emissivity. Especially for an automatic data evaluation, further research on sophisticated evaluation algorithms is required.",
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         "abstract": "To achieve sustainable development in today's production facilities, quality assurance of manufacturing processes, such as laser welding is very important. In particular, online monitoring for direct detection of defective products is especially important. To develop a method for detecting pores during the process, this paper investigates the influence of pores on the temperature field during laser beam welding of AlMg3. Numerical simulations were carried out to theoretically investigate the influence of the pores in the weld seam on the temperature field and experiments were carried out to validate the simulations. The simulations show a clear influence of the pores on the temperature field, making the measurement of the temperature field suitable as a detection method. The detection of the pores from the measured thermal radiation turned out to be difficult because of the huge influence of the seam surface geometry on the emissivity. Especially for an automatic data evaluation, further research on sophisticated evaluation algorithms is required.",
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