Automation of the Process of Charge Sampling at Metallurgical Enterprises Using Robots

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Author(s): Sergei Jatsun (South-West State University, Russia), Jamil Safarov (University of Technology of Azerbaijan, Ganja, Azerbaijan), Egor Tistsov (South-West State University, Kursk, Russia), Dmitrii Efremov (South-West State University, Russia)and Gavriil Fursov (South-West State University, Russia)
Copyright: 2026
Pages: 22
Source title: AI-Driven Smart Industrial Technologies
Source Author(s)/Editor(s): Maki K. Habib (The American University in Cairo, Egypt)
DOI: 10.4018/979-8-3693-7994-3.ch004

Keywords: Artificial Intelligence / Computer Science & IT / Engineering Science Reference / Industrial and Manufacturing Engineering

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Abstract

This chapter per the authors reveal the problem of the complexity of selecting the fired charge from the furnace and propose automation of this. They talk about the development of a robot for automatic charge selection, as well as modeling its bucket using a fifth-order polynomial in analog and discrete spaces. The calculation results are presented, as well as graphs of the position, speed, acceleration, torque, and changes in motor current when the bucket is moved. The chapter also contains a description of the sampler job and its main parts, such as a control cabinet, a manipulator arm, and a laser protective barrier. This chapter describes the intended modes of operation of the charge sampling robot, such as timer operation and single sampling.

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Automation of the Process of Charge Sampling at Metallurgical Enterprises Using Robots

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