A model has been developed to describe the changes in metal behavior during the processing phase.

According to TASS, metal consumption in Russia increased by 7.4% in 2023, reaching approximately 35 million tons. Metals and alloys are utilized across various sectors, including machinery manufacturing, medical and oil and gas equipment production, military technology, as well as the construction and transportation industries. To achieve the desired shape of components and enhance their strength, ductility, and other properties, metal forming techniques are employed. However, it is crucial to establish the correct process conditions; otherwise, there is a risk of compromising the quality of the workpiece. To mitigate this, material properties are predicted using computer modeling. Researchers at Perm Polytechnic University have developed a model that describes the internal structure of products using a novel computational approach, which will expedite calculations. This model could prove beneficial in addressing various technological challenges in manufacturing processes such as stamping, rolling, drawing, and bending.

2024-12-29 10:00:26https://naked-science.ru/article/column/metalla-v-protsesse-obrab

The article was published in the scientific journal "Vestnik PNIPU. Mechanics". The research was conducted with the financial support of the Ministry of Education and Science as part of the national project "Science and Universities".

During the processing of metals under pressure, their structure undergoes significant changes, which in turn alters their properties. An effective mathematical description of these changes will enable faster design of products with the required characteristics and reduce the risk of producing substandard goods.

Scientists from Perm Polytechnic have developed a multi-level model to describe the processes occurring during metal processing under pressure. They proposed a new approach that allows calculations to be performed with fewer algorithm repetitions, thereby speeding up computations.

“Metal processing under pressure is a complex process. For its description, instead of commonly used models that consider elastic, plastic, and viscous properties, we propose an efficient viscoelastic model suitable for metal processing under pressure. This model allows for calculations with larger time steps, significantly reducing computational resources when solving applied problems,” explains Pavel Gladkikh, a second-year master's student at the Department of "Mathematical Modeling of Systems and Processes" at PNIPU.

“However, this model faces a challenge with the uncertainty in variable selection, which can affect the accuracy of the calculations. The computational approach we proposed allows for the physical exclusion of this uncertainty, enabling the full potential of such models to be utilized in practice. The algorithm has been tested for the case of deforming a monocrystalline aluminum sample. It is used, for instance, in optics as a matrix for laser active media, window materials, and elements for high-intensity radiation,” comments Petr Trusov, a professor at the Department of "Mathematical Modeling of Systems and Processes" at PNIPU, Doctor of Physical and Mathematical Sciences.

The research conducted by the scientists at Perm Polytechnic will facilitate quick and accurate predictions of changes in the structure and properties of metals during processing. This is particularly relevant for the design of functional material products within shorter time frames.