Thermal performance features of the bio-pumping unit with automatic controller based on neural network

• Main Authors: Ibraheem, Dalal J., Ismail, Samar Jaafar, Jabal, Mohammed Hassan
• Format: Conference Proceeding
• Language: English
• Subjects: Artificial neural networks; Automatic control; Back propagation networks; Controllers; Mineral oils; Neural networks; Proportional integral derivative; Pumping stations; Vegetable oils; Water purification
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0205862

Utilizing bio-oils in liquid pumping unites are considered as a one of the most important parts in the water filtration and pumping stations especially in the area of automatic control. In this paper using bio-oils are being investigated which have high degradability and it is environmentally friendly. The thermal performance features of the liquid pumping unit lubricated with bio sunflower seed vegetable oil was investigated and compared with the performance features with mineral oil (MO10W-30). The study includes, oil temperature, density, power and tourq under different rational speed (1200-1500 rpm) for the pump. From experimental investigations carried out in this study, it can be concluded that biodegradable vegetable oils are adequate alternative to the mineral oil as a renewable bio cooling and lubricate. An automatic pumping unit was implemented (three tanks one as a source and two auxiliary) based on two types of controllers. These two are: PID controller and artificial neural networks. The results in neural back propagation that more accurate than PID controller. The over shoot is improving in artificial network is zero where compare with PID result 0.8 m3/s flow rate