METHODS FOR APPLYING AND OPTIMIZING DIGITAL CONTROL SYSTEMS IN THE PROCESS OF EXTRACTING VEGETABLE OILS
Abstract
Nowadays, the advancement of science and technology has led to more complex production processes and management systems, requiring in-depth research into their structure and interconnections. A key method for such research is mathematical modeling, which has become more prevalent with the development of information technologies and simulation modeling. This study focuses on building a simulation model for oil production processes, particularly cottonseed oil extraction, addressing problem formulation, modeling stages, and the scientific and practical significance. The model plays a vital role in automating production, improving product quality, and increasing efficiency. The mathematical model of oil extraction helps optimize the process and identify factors affecting oil yield. Based on a hydrodynamic liquid flow model, it tracks changes in substance concentration during extraction. The research, in collaboration with Uzbek oil companies like "Yangiyo‘l Yog‘ Moy," identifies optimal solutions for high-quality oil extraction from plant seeds, enhancing industry practices.