STUDY OF THE PROCESS OF OBTAINING TWO-LAYER BIMETALLIC SHEETS WITH A MECHANICAL BOND
DOI:
https://doi.org/10.32782/3041-2080/2026-7-8Keywords:
bimetallic sheets, rolling, mechanical bonding, metal flow, longitudinal grooves, reduction ratio, stress-strain state, finite element method, numerical modeling, CAD/CAE systems, parallel computing, process parameter optimizationAbstract
The paper presents the results of an experimental and theoretical study of the formation of mechanical bonding in the production of two-layer bimetallic sheets by rolling. The relevance of the research is обусловлена the growing demand for modern structural materials with a specified set of operational and technological properties, which can be achieved through the development of layered composites. A technological scheme for producing bimetals based on the joint reduction of workpieces with the preliminary formation of longitudinal grooves on a stronger substrate is proposed, ensuring reliable mechanical bonding due to the flow of a more ductile metal into the grooves without the use of high-temperature processes. Experimental studies were carried out using an industrial laboratory rolling mill and a set of measuring equipment, which made it possible to vary the main technological parameters of the process, including the reduction ratio, groove geometry, contact friction conditions, and physical and mechanical properties of the materials. The research was conducted in two directions: physical modeling of metal plastic flow into grooves and simulation of the actual formation of a bimetallic joint of the “steel – soft metal” type. Experimental dependencies of rolling force parameters and groove filling depth on technological factors were obtained. It was established that the maximum efficiency of mechanical bonding is achieved at a groove wall inclination angle of about 30°, which ensures an optimal stress distribution in the contact zone. A comparison of experimental and theoretical results confirmed the adequacy of the developed mathematical model and the high predictive capability of numerical methods. The feasibility of using integrated CAD/CAE systems and parallel computing (based on multi-core CPUs and GPUs) to accelerate finite element analysis and perform multi-parameter optimization is demonstrated. The obtained results can be used in the design of efficient technologies for the production of bimetallic materials with enhanced performance characteristics
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