Open AccessApplication of Fuzzy Logic for Controlling Spray Drying Parameters in Production of Bignay (Antidesma Bunius) Juice Powder
Author(s) -
Danielle Grace D. Evangelista,
Ryan Rhay P. Vicerra,
Argel A. Bandala,
Edwin Sybingco,
Elmer P. Dadios
Publication year - 2021
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2021.p0625
Subject(s) - spray drying , process engineering , water content , materials science , yield (engineering) , automation , process (computing) , computer science , pulp and paper industry , composite material , chromatography , chemistry , mechanical engineering , geotechnical engineering , engineering , operating system
Spray drying is a rapid, continuous, cost-effective, reproducible, and scalable process for reducing the moisture content of a fluid material into a solid powder. To improve this process in juice powder production, automation can be applied to increase efficiency and productivity. Hence, fuzzy logic is used in this study as a control system in the spray-drying process of concentrated liquid bignay juice into juice powder, where the inlet temperature and carrier agent concentrations affecting the properties of the juice powder, such as moisture content and product yield, are considered. The proposed fuzzy system can provide feedback to the control variables, inlet temperature, and carrier agent concentration based on the moisture content and product yield of the juice powder.