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Development of an Instrumentation System for a Laboratory Model Food Product Dryer
Author(s) -
A. T. Ajiboye,
Abdulrahman Olalekan Yusuf,
Michael Mayokun Odewole
Publication year - 2020
Publication title -
fuoye journal of engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2579-0625
pISSN - 2579-0617
DOI - 10.46792/fuoyejet.v5i1.474
Subject(s) - instrumentation (computer programming) , microcontroller , process engineering , process (computing) , sample (material) , process control , reliability (semiconductor) , data logger , control system , computer science , control engineering , automotive engineering , simulation , engineering , computer hardware , electrical engineering , power (physics) , chemistry , physics , chromatography , quantum mechanics , operating system
To achieve optimal dryer performance, the process parameters required for both the optimization and control of the drying process must be made available via the instrumentation system. A few works have been reported on the development of instrumentation systems for handling drying system parameters. Out of which, some are deficient in the number of drying process parameters that can be handled, while others are unreliable and inaccurate. Therefore, there is the need to develop a microcontroller-based instrumentation system that can monitor, measure, control, display and store the main drying process parameters and sample weight with a high degree of reliability and accuracy. In this study, the sensors were selected based on system specifications and interfaced with the microcontroller. The codes for controlling, logging and displaying of drying parameters were developed and installed on the microcontroller. When tested at steady-state conditions, the system yielded satisfactory results with maximum control and detection errors being 2.0% and 1.8% for the temperature and sample weight, respectively. The developed system can be used for efficient computation of both the dry and wet basis sample moisture content values and also detect the set sample weight. Keywords— Dryer, Drying parameters, Instrumentation system, Moisture content, Sensor.

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