Abstract

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In this study, a Potentiostat was developed for teaching and research purposes because Potentiostats are expensive equip ment and are of high importance in corrosion monitoring due to its various applications. The fabrication of this potenti ostat entailed the use of electronic devices and components, including operational amplifiers in the control circuit. A mi crocontroller was used to send data from the circuit to the computer system, and the results obtained were visualized in real-time on a software application, made with Python programming language and Tkinter (a library for desktop applica tion development) installed on the computer system. The software application uses linear regression (an algorithm in ma chine learning) to calculate the slope of the anodic and cathodic curve, which are used to obtain the corrosion rate. This study proffers solution to some of the shortcomings of locally-made potentiostats, which are unable to plot corrosion data in real-time and determine anodic and cathodic slopes needed to obtain the corrosion rate, while still being affordable for teaching and research purposes.

Keywords: Corrosion, Potentiostat, Microcontroller, Operational Amplifier, Potentiodynamic Behaviour