Genetic Modeling of Die Load in Hydroforming of Cross Tube

In addition to the optimal process parameters, machines, tools and materials have a significant impact on the successful execution of the plastic forming process in the machining system. All these elements of the processing system are important for achieving maximum productivity, optimal quality, and minimum production costs. Previous research and theoretical analysis of dies as executive elements have shown that any deviation that may occur on the plastic forming die during operation reflects on the quality of the product, which does not ensure competitiveness in the market. The durability of the die depends on several parameters, depending on the plastic forming process, macrogeometry of the die, microgeometry of the die working zone, die load, tribological condition of contact surfaces, etc. The research provided in this paper relates to the modeling of die loads in the cross tube hydroforming process using the genetic algorithm method.