AI-Based Design for Manufacturing in Selective Wave Soldering
The soldering of THT components through solder waves is a thermal process. However, current design rules, guidelines and guideline catalogs do not map the soldering heat requirement of a solder joint. Therefore, this approach cannot ensure sufficient solder fill according to IPC-A610 at the design stage. This requires objective models for evaluating the design data concerning manufacturability. These models have considerable potential, both technologically and economically. In addition to automated manufacturability checks, the automatic and model-based determination of optimized soldering programs results in potential reduction of scrap, shorter process development and more robust processes. Extensive studies of experimental, numerical and analytical models for the prediction of minimum solder fill are the basis for successful artificial intelligence (AI)-based modeling of THT-selective wave soldering. On this basis, it is possible to train meaningful AI models and actually validate the solder fill. The mentioned approaches will be highlighted in this paper and it will be shown how they can be profitably applied in practice from electronics design to manufacturing.