1results about How to "Reduce model error" patented technology

This invention discloses a furnace temperature control method, relating to the field of intelligent control of electronic packaging welding processes. The method includes: collecting real-time temperature data and welding process parameters of the substrate to be welded, and acquiring post-weld deformation data; aligning and fusing the real-time temperature data, process parameters, and deformation data to extract key features of the furnace temperature curve, and constructing a data record set by associating them with the deformation of corresponding measuring points; based on the data record set, establishing a quantitative prediction model using regression analysis or machine learning algorithms; under preset process constraints, optimizing the furnace temperature curve setpoint with the predicted warpage as the optimization objective, calculating the corresponding predicted warpage using the quantitative prediction model, generating the optimal furnace temperature curve setpoint, and sending it to the welding equipment for execution. By constructing a quantitative prediction model using temperature data from sensitive points and post-weld deformation, the optimal furnace temperature curve is generated through reverse optimization to suppress welding warpage.