The resistance seam welding is a welding technique that is often used for the
creation of the leak-tight welds. It is a technique where the weld is
created as a set of overlapping weld nuggets between the cylindrical welding
electrodes. The creation of the weld nuggets is depending on many external
and internal parameters. Some of the external parameters are pressing force,
welding electrodes, electrical current and time, while the internal
parameters are electrical resistance, resistivity, and temperature. The main
issue with the resistance seam welding is to properly set up internal and
external parameters, create a weld nugget of a certain quality, reconfigure
the parameters, relocate, and create another weld nugget of the same
quality. The modern welding machines must have monitoring systems capable to
make decisions and recalibration of the parameters. These systems are very
complex and expensive, and as such, non-affordable for many small
enterprises. This paper is presenting an effective, temperature-based
algorithm for selecting the optimal welding parameters before the welding
begins. The algorithm bases on the data from the experimental welding and
numeric simulation of the welding process. The verification of the algorithm
is done after testing the quality of the welds.