In this study, ANN model is used to compute the kinematic viscosity of unused and used sunflower oil and palm oil at various temperatures. It is found that for using this rule, convergence is relatively faster than the original generalized delta rule. (Easy check: Lowest volume at the lowest temperature). The solid-state power controller in block G is built with opto coupler (MOC3040), TRIAC (BT136) and other components are used to control the power of the electric heater in block H. The pulse width modulation (PWM) is used to control the temperature. Only emails and answers are saved in our archive. If you need assistance with writing your essay, our professional essay writing service is here to help! The neural networks gather their knowledge from input-output relationships in data and learn through experience, not from programming. In the Density vs temperature figure (°C), you see that the light green line represent this fuel oil.Then use the light green line in the Fuel oils volume correction figure (Density@15°C/Density@observed T). At 100°C the correction factor is 1.065. The Experiment is repeated to measure Kinematic viscosity of sunflower oil for different temperature ranging from 30°c to 90°c. The data in the Table 1 is used as the training pattern for the neural network . The straight use of vegetable oils as fuel in diesel engines entails adjusting several physical properties such as density and viscosity. The block diagram of the microcontroller based viscosity measurement system is shown in Figure 1. Artificial neural networks (ANNs) are the computer programs, which are biologically inspired to design to simulate human brain processes information. Keywords: Back Propagation Algorithm, Artificial Neural Network, Microcontroller, kinematic viscosity, redwood viscometer. The range is from 0.91 to 0.93 g/cm 3 between the temperatures of 15 °C and 25 °C. Biology The error occurred in kinematic viscosity determination by the neural network concept is found to be less than 1%. The success of ANNs depends on the architecture, the learning algorithm and its parameters, the transfer function, the number of layers and processing elements (neurons). Comparing to water, whose density is 1.00 g/ml, cooking oil is less dense. Inga Dorfman -- 2000 1992. e 2 values for all vegetable oils and temperatures were very high (above .) By continuing you agree to the use of cookies. Copyright © 2020 Elsevier B.V. or its licensors or contributors. AddThis use cookies for handling links to social media. You can view samples of our professional work here. Bailey's industrial oil & fat products, 6th edition 2005, Wiley-Intersience New York Pink; Physical and chemical characteristics of oils, fats, and waxes, Champaign, Illinois, AOCS Press, 2006 Red Manuel des corps gras, AFCEG, Paris 1992: Physical Properties of fats and Oils. Their primary advantage is that they can solve problems that are too complex for conventional technologies; problems that do not have an algorithmic solution or for which an algorithmic solution is too complex to be defined. A Neural Network is trained by temperature as input vector and Kinematic viscosity as output vector by using the back propagation algorithm method. In this process, the weights are modified and the system is trained so as to get the desired output for a given input. LM35D temperature sensor in block C is used to measure the temperature of the sample. How will the volume change if you heat it to 100°C? Kinematic Viscosity: Vegetable Oil at Different Temperatures. ► Vegetable oils density and viscosity are higher than the ones of diesel fuel. A three layer neural network is used to train the viscosity at different temperature using back propagation algorithm and the trained neural network is used to compute the viscosity of edible oils. Performance and emissions characteristics of Jatropha oil (preheated and blends) in a direct injection compression ignition engine, Reducing the viscosity of Jojoba Methyl Ester diesel fuel and effects on diesel engine performance and roughness, Straight vegetable oils usage in a compression ignition engine-A review, Effect of biodiesel unsaturated fatty acid on combustion characteristics of a DI compression ignition engine, Diesel/biodiesel proportion for by-compression ignition engines, Survey of Straight Vegetable Oil Composition Impact on Combustion Properties, By clicking accept or continuing to use the site, you agree to the terms outlined in our. When lifting the ball valve, the timer in the Microcontroller is started and when the level in the jar reaches 50 ml mark, the Infra Red (IR) detector senses the level and the timer in the Microcontroller is stopped by software. This is due to higher thermal movement among the molecules, reducing intermolecular forces, making flow among them easier and reducing viscosity. Viscosity measurement and control has great importance in food industry and accurate knowledge of viscosity is necessary for various industrial processes [2]. We use cookies to help provide and enhance our service and tailor content and ads. The viscosity of diesel oil and mixtures with straight vegetable oils: palm, cabbage palm, cotton, groundnut, copra and sunflower. The optimal range of temperatures at which each vegetable oil should operate in order to adjust its properties to those of automotive diesel and biodiesel is then found. About canola oil; canola oil weigh(s) 0.91 gram per (cubic centimeter) or 0.53 ounce per (cubic inch) at 24.44°C or 76°F; Volume to weight, weight to volume and cost conversions for Canola oil with temperature in the range of 10°C (50°F) to 140°C (284°F); Formulas: volume v = w ⁄ ρ; weight w = ρ × v; where the Greek letter ρ (rho) stands for density This paper explains the measurement of viscosity of edible oils using microcontroller-based instrument and the feasibility in computation of viscosity of edible oils at various temperatures using neural network. 24th May 2018 Coconut oil . The level detector in block B consists of IR emitter and detector, which are used to measure 50 cc of sample collection in the glass jar. In the Density vs temperature figure(°C), you se that the light blue line represent this fuel oil.Then, use the light blue line in the Fuel oils volume correction figure (Density@Observed T/Density@15°C). The neurons in the hidden and output layer have sigmoid functions [7]. Properties, like temperature and pressure, influence the Kinematic viscosity. The system hardware consists of Redwood viscometer, LM35D temperature sensor, level detector, and signal conditioning circuit, solid-state power controller and Atmega32 microcontroller. VAT Registration No: 842417633. This is not an example of the work produced by our Essay Writing Service. t/dm³ to oz/dm³ conversion table, t/dm³ to oz/dm³ unit converter or convert between all units of density measurement. Under Supervised learning, both input and output data are given as data for the training. Registered office: Venture House, Cross Street, Arnold, Nottingham, Nottinghamshire, NG5 7PJ. Volume is a basic characteristic of any three–dimensional geometrical object. Using ‘C’ language software is developed, to initialize LCD display, to start ADC, to read data from ADC, to measure and control the temperature of the sample, by giving commands to solid state controller, to read data from level sensor (IR sensor), to measure the time of the collections of 50cc of liquid with the help of the level detector, to give data for constants A and B, to compute the viscosity, to display the results in the LCD and to send the data to PC. Add standard and customized parametric components - like flange beams, lumbers, piping, stairs and more - to your Sketchup model with the Engineering ToolBox - SketchUp Extension - enabled for use with the amazing, fun and free SketchUp Make and SketchUp Pro .Add the Engineering ToolBox extension to your SketchUp from the SketchUp Pro Sketchup Extension Warehouse!