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Scholars Journal of Engineering and Technology | Volume-5 | Issue-10
Conceptual Design for Computer Aided Manufacturing (CIM) in Production of Palm Kernel Oil
Ashikodi Anthony Ifeanyi, Otaru Ekhare Natheniel, Ajagun Kehinde Oluwatomi, Ezeoke Grace, Okorun Ambrose Ali
Published: Oct. 30, 2017 |
67
75
DOI: 10.36347/sjet.2017.v05i10.002
Pages: 524-535
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Abstract
This paper work analyzes and develops an improved method of getting quantity and quality palm kernel oil .The computer integrated system is using full digital automation and computer monitoring production process replacing the existing traditional system that is mechanically operated. The old traditional system involves much handling that may attract dirts and contaminations leading to poor quality[6]. Production efficiency and performance index would increase if any production line is computer integrated to monitor parameters like feed rate, output capacity, mass of cake produced, quality of oil , as they are function of machine speed, toasting time and temperature. Consequently, introducing a control loop based on Proportional-Integral-Derivative (PID) controllers for the process control since the basic structure of the PID controllers makes it easy to regulate the process output leading to optimal and effective operations that are economically vital for process industries. Hence, a robust control in the presence of saturation effects is pursued for stability within the linear region with 100% efficiency. An embedded system framework design for groundnut oil extraction system is developed considering temperature monitor, weight monitor, speed monitor with related input and output interfaces. This control algorithm for the embedded process automation was developed and tested on a unified Proteus and MatLab environments with a satisfactory performance. Computer integrated manufacturing (CIM) provides visual monitoring of this computer embedded program on parametric control of the production of quality palm kernel oil through automation and use of computers for process monitoring, control and optimization, thus improving the robustness and stability of the system.