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<p>We develop and implement a system for heat treatment of sucker rods based on the use of the algorithms of fuzzy logic and aimed at the automation of the process, reducing of human intervention in the process, and improving the accuracy of parameter control. The system makes it possible to dynamically adjust critical parameters, such as quenching temperature, feed speed, and the time of stay in the treatment zone. In the system, we use a Mamdani-type fuzzy logic controller combining the data of sensors and the rules specified by the operator in order to attain the optimal productivity.We tested a system on sucker rods of different lengths (7.5, 8.0, and 9.14 m) and diameters (16 – 22 mm) made of carbon, alloyed, and high-alloy steels. The application of the system makes it possible to realize consecutive control of the parameters of heat treatment, get a uniform distribution of hardness, and reduce the number of defects caused by manual works. Moreover, the use of automated loading and unloading mechanisms elevated the efficiency and decreased the time of production. As compared with traditional control methods, the proposed approach based on the use of fuzzy logic guarantees a significant improvement of the accuracy of heat treatment and the mechanical properties of rods.</p>

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Development of an Installation for Heat Treatment of Sucker Rods with the Use of Fuzzy Logic

  • 期刊论文

  • 发表日期：

    2025年9月1日

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  • E. A. Aliyev,
  • J. R. Damirova

摘要

We develop and implement a system for heat treatment of sucker rods based on the use of the algorithms of fuzzy logic and aimed at the automation of the process, reducing of human intervention in the process, and improving the accuracy of parameter control. The system makes it possible to dynamically adjust critical parameters, such as quenching temperature, feed speed, and the time of stay in the treatment zone. In the system, we use a Mamdani-type fuzzy logic controller combining the data of sensors and the rules specified by the operator in order to attain the optimal productivity.We tested a system on sucker rods of different lengths (7.5, 8.0, and 9.14 m) and diameters (16 – 22 mm) made of carbon, alloyed, and high-alloy steels. The application of the system makes it possible to realize consecutive control of the parameters of heat treatment, get a uniform distribution of hardness, and reduce the number of defects caused by manual works. Moreover, the use of automated loading and unloading mechanisms elevated the efficiency and decreased the time of production. As compared with traditional control methods, the proposed approach based on the use of fuzzy logic guarantees a significant improvement of the accuracy of heat treatment and the mechanical properties of rods.