Viscosity Measurement Using Microcontroller to Study the Thermal Degradation of Edible Oil

Abstract

A microcontroller based viscosity measurement setup has been developed to measure kinematic viscosity of liquids using redwood viscometer. This instrument system permits to keep the temperature of the sample at any desired value and recording of time for 50 cc of sample collection to compute viscosity of edible oil samples and to send data to personal computer to enable the computer processing of such data. A dedicated PIC16F877 based microcontroller board was employed for the hardware. 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. The details of its interface to measure kinematic viscosity and to measure, temperature and to control the temperature and evaluate results are explained in this paper.

Keywords

• Microcontroller
• Kinematic viscosity
• Redwood viscometer
• Back propagation and Neural network