DEVELOPMENT OF AN AUTOMATION AND INTELLIGENT CONTROL SYSTEM FOR THE POLYVINYL CHLORIDE (PVC) DRYING PROCESS

Authors

  • Sharipova Pariso Muhammadrezaevna, Boybutaev Sanjar Baxritdinovich Doctoral Student, Bukhara State Technical University, Scientific supervisor: Assosiate professor

Keywords:

PVC, drying, physicochemical properties, automation, intelligent control, machine learning.

Abstract

Drying of polyvinyl chloride (PVC) is a critical stage in polymer processing that significantly influences its physicochemical properties, including residual moisture, bulk density, thermal conductivity, and structural uniformity. This paper presents the development of an automation and intelligent control system for the PVC drying process aimed at optimizing process parameters, reducing energy consumption, and improving product quality. The proposed system integrates sensor-based monitoring, mathematical modeling, and machine learning algorithms to enable adaptive control based on real-time variations in physicochemical properties of the material.

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References

ASTM D638 – Standard Test Method for Tensile Properties of Plastics.

ISO 527 – Plastics – Determination of Tensile Properties.

Smith R. Automation in Polymer Processing. Springer, 2018.

Wang X., Liu Q. Energy-efficient drying of PVC: modeling and control. Chemical Engineering Research and Design, 2019.

Zhang Y. Intelligent control systems in polymer drying processes. Journal of Applied Polymer Science, 2021.

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Published

2026-05-29

How to Cite

Sharipova Pariso Muhammadrezaevna, Boybutaev Sanjar Baxritdinovich. (2026). DEVELOPMENT OF AN AUTOMATION AND INTELLIGENT CONTROL SYSTEM FOR THE POLYVINYL CHLORIDE (PVC) DRYING PROCESS. Journal of Applied Science and Social Science, 16(5), 1070–1072. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/4502

Issue

Vol. 16 No. 5 (2026): Journal of Applied Science and Social Science

Section

Articles

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