Experimental Validation of Vibro separator and ANOVA technique for Amplitude

Abstract

Over 60% of India's gross domestic product (GDP) is attributed to the agricultural sector. Advancements in mechanical and instrumentation technologies have significantly improved research and development in agricultural machinery. Vibration analysis plays a critical role in predictive maintenance by allowing engineers to detect potential issues in machinery before they lead to system failures. One important factor in vibration analysis is amplitude, which helps us understand how severe the vibrations are and whether there might be any mechanical issues. Amplitude is usually measured in terms of displacement (like micrometers or mils), velocity (millimeters per second or inches per second), or acceleration (g or millimeters per second squared). It’s directly connected to the amount of mechanical stress the equipment is experiencing. In this study, we used analysis of variance (ANOVA) to design experiments, create a regression model, and run tests that looked at how the vibro motor’s angle, its rotational speed, and the material’s modulus of elasticity all work together to affect amplitude. We then optimized these factors to improve the vibro separator’s flow rate performance