The statistical correlation was applied to analyze the specific and quantitative relationship between solidification structure central segregation along casting direction in carbon steel billet. On this basis, formation mechanism of solute element related control strategy were investigated. It is found that equiaxed crystal zone fluctuation determines degree segregation. At same time, at a cert...

The substantiation of the relevance obtaining continuous cast steel pipe hollow billet is given from position improving quality pipes made carbon and alloy steels given. article presents an assessment inner surface solid billet. A new technology proposed for production billets on a resource-saving unit combined casting deformation. photo deformation section JSC Ural Pipe Plant given, where pilo...

The study presents results of computer simulation by finite elements method a new metal forming process combining the deformation billet with round cross-section on radial-shear rolling mill and subsequent twisting in die specific design. To analyze efficiency processing, main parameters stress–strain state are considered: effective strain, stress, average hydrostatic pressure, Lode–Nadai coeff...

Abstract. Friction stir consolidation (FSC) is a solid-state recycling method that directly converts machining scraps into semifinished billets. This process has been proven to be more energy efficient and environmentally friendly technique compared remelting based conventional methods. During FSC, chips are transformed solid billet by the stirring action friction heat of rotating tool. Due mec...

Solid state recycling (SSR) is a new approach for making metals more efficient with respect to remelting-based approaches. Friction stir consolidation (FSC) solid-state process that employed recycle metallic scraps. Until now, single-step FSC was applied recycled metal chips. During the approach, critical processes parameters, especially processing time and rotational speed, are considered vita...

In this paper, the estimations of mechanical property of rolled steel bar by using quantum neural network (QNN) were proposed. Based on the learning capability of neural network, the nonlinear, complex relationships among the steel bar, the billet materials and the control parameters of production could be automatically developed. Such an artificial intelligent (AI) estimator then can help the ...