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Experimental Studies of the Effect of Heat Treatment on the Properties of Welded Assemblies of Working Bodies of Road Construction Machines

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Networked Control Systems for Connected and Automated Vehicles (NN 2022)

Abstract

Experimental studies of the effect of heat treatment on the properties of welded assemblies of working bodies of road construction machines are carried out. Studying the structures of both the metal itself and the welded assemblies and based on their heterogeneity, the author analyzes the strength characteristics of these objects. Having resorted to metallographic analysis, as well as using boron steel 30MnB5 as a material for research, which is used for the manufacture of structures for construction machines, the author studied its microstructure in certain zones of welded assemblies. In particular, welded seams, fusion zones with an overheating area, a complete recrystallization area, and the base metal were studied. The features of cold plastic deformation of the specified steel sample were also studied. It was determined that the mechanical inhomogeneity of the steel at these joints was the cause of the structural inhomogeneity of the welded assemblies. This process contributed to the formation of dangerous zones of concentration of acting stresses. These conclusions indicate the need to identify certain zones that concentrate tensions. At the same time, a prerequisite is the strengthening of the metal in such zones up to standard indicators. The author identified the welded seam and the zone of its fusion with the base metal and the overheating area as the most dangerous areas subject to stress. The passive fluxgate method is recommended in this work as a means of monitoring this process.

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Correspondence to Alexander Scherbakov .

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Scherbakov, A., Vinogradova, T., Petrov, A., Pushkarev, A. (2023). Experimental Studies of the Effect of Heat Treatment on the Properties of Welded Assemblies of Working Bodies of Road Construction Machines. In: Guda, A. (eds) Networked Control Systems for Connected and Automated Vehicles. NN 2022. Lecture Notes in Networks and Systems, vol 509. Springer, Cham. https://doi.org/10.1007/978-3-031-11058-0_100

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