Scientists of Samara University Have Found a Way to Improve the Quality of Manufactured Goods

Scientists of Samara University have found a method to precisely predict a distribution of stresses and strains in material bending processes. According to them, the created analytical model is experimentally confirmed using samples of aluminum alloy, which helps to optimize processes of bending of sheet materials and improve the quality of manufactured goods. The results are published in the scientific journal “Technologies.”

Scientists of Samara University developed a complex mathematical model allowing to precisely predicting how metal sheets are changed during bending process at a manufacturing site (for example, in aerospace-engineering).

“Our elaboration considers plastic anisotropy of properties of a material and deformation firmness of a workpiece. It helps manufacturers to make preciser predictions on how their products will look like and even optimize the manufacturing process,” told Associate Professor of the Department of Metal Forming of Samara University Aleksandr Kuzin.

According to him, the new model helps engineers at enterprises to optimize parameters of bending process for various grades of sheet material. This result in enhancing the efficiency of manufacture, improving the quality of products, and reducing a number of rejected products.

“Performed study can be a basis for creating novel materials with unique properties, which require special processing technologies. Moreover, the bending process optimization performed by us can be helpful in reducing power consumption and harmful emissions into the environment. A total economic effect for a large enterprise can reach three and a half to five million rubles per year,” specified the scientist.

The elaboration of specialists of Samara University differs from analogues in a complex approach that considers multiple factors having an influence on the process of bending of sheet materials. According to the authors, this allows to make preciser predictions and optimize a manufacturing process at a higher level compared with previous models.

“In addition to theoretical calculations, we performed the experimental verification of results. This enhances the reliability and feasibility of obtained models,” emphasized Aleksandr Kuzin.

In future, researchers are going to continue development and improvement of processes of metal forming and integrate developed models into modern industrial equipment. Also they are going to use artificial intelligence technologies and create digital twins for mathematical confirmation of industrial processes.

Source: ria.ru