Aplicação de inteligências artificiais generativas no estudo técnico sobre produção de celulose solúvel

Abstract

This work presents a comprehensive analysis of dissolving pulp production processes for sustainable textile fiber manufacturing, supported by Artificial Intelligence tools in conducting the research. Through systematic literature review, conventional and alternative production processes were described and analyzed, with emphasis on the pre-hydrolysis Kraft (PHK) modified process, which dominates 95% of world production. The study detailed the unit operations involved, from raw material preparation to final product obtainment, including wood yard operations, cooking, fiber line, drying, chemical recovery, and utilities treatment stages. Comparative analysis revealed that dissolving pulp requires α-cellulose content above 90% and low hemicellulose levels, demanding strict control of process parameters. AI tools (ChatGPT, Claude, and Gemini) proved effective in research assistance, optimizing bibliographic search strategies, organizing thematic information, and generating preliminary insights, although requiring constant critical validation. The work demonstrated that dissolving pulp production represents a promising alternative to synthetic fibers, with lower water demand than cotton and biodegradability potential. Results confirm the technical and environmental feasibility of dissolving pulp as raw material for sustainable textile fibers, highlighting the importance of integration between technological innovation, sustainability, and operational efficiency in the context of modern chemical industry.