The master’s thesis is devoted to the development and substantiation of an automated quality control system for pulp-and-paper products, focused on continuous online measurements of key paper web parameters and ensuring prompt stabilization of operating regimes. The study was conducted using PJSC “Kyiv Cardboard and Paper Mill” as a case study, as one of the leading enterprises in the pulp-and-paper industry.
The aim of the thesis is to increase the stability of the technological process and reduce the share of defective products by automating quality control, in particular the basis weight (g/m²) and moisture content, with subsequent integration of measurement results into production control loops. The object of the research is an automated quality control system. The subject of the research is its properties and characteristics that determine accuracy, reliability, and suitability for integration into the paper machine’s process control system.
The thesis includes an analysis of the technological process and existing approaches to laboratory and online control, and identifies critical parameters and control points. A system concept is developed based on a cross-direction profiling scanning platform with measurement channels for basis weight (g/m²) and moisture; structural and functional diagrams are prepared, and the selection of sensors and hardware/software tools is justified. A separate outcome is a startup project for commercializing the proposed solution as the “CelluScan” product— a modular online system for basis weight and moisture control with analytics for process engineers and quality control departments.
The total volume of the thesis is 126 pages and includes 11 figures, 32 tables, 11 equations, and 4 appendices; the list of references contains 42 sources.
Research advisor: Yu. Kyrychuk
