Samara University has developed an analytical model that accurately predicts the distribution of stresses and strains during material bending. This was reported by the university's press service.
Our development takes into account the plastic anisotropy of the material properties and the strain hardening of the workpiece. It will help manufacturers make more accurate predictions about what their products will look like, and even optimize the production process.
The development will help engineers optimize the bending process parameters for various grades of sheet material. This will increase production efficiency and product quality, as well as reduce the amount of scrap.
The optimization of the bending process we have carried out can help reduce energy consumption and reduce harmful emissions into the environment. The total economic effect for a large enterprise can reach three and a half to five million rubles per year.
Scientists plan to continue working on improving metal processing processes and integrate their models into modern industrial equipment. Plans also include the use of artificial intelligence technologies and the creation of digital twins for mathematical confirmation of industrial processes.
Earlier, www1.ru reported that the first dry electropolishing machine in Russia was developed in Ufa.
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