Predictive Models of Double-Vibropolishing in Bowl System Using Artificial Intelligence Methods

Abstract

Vibratory finishing is a versatile and efficient surface finishing process widely used to finish components of various functionalities. Research efforts were focused in fundamental understanding of the process through analytical solutions and simulations. On the other hand, predictive modelling of surface roughness using computational intelligence (CI) methods are emerging in recent years, though CI methods have not been extensively applied yet to a new vibratory finishing method called double-vibropolishing. In this study, multi-variable regression, artificial neural networks, and genetic programming models were designed and trained with experimental data obtained from subjecting rectangular Ti-6Al-4V test coupons to double vibropolishing in a bowl system configuration. Model selection was done by comparing the mean-absolute percentage error and r-squared values from both training and testing datasets. Exponential regression was determined as the best model for the bowl double-vibropolishing system studied with a Test MAPE score of 6.1% and a R-squared score of 0.99. A family of curves was generated using the exponential regression model as a potential tool in predicting surface roughness with time.

Simulation and experimental study on the bidirectional composite vibratory finishing characteristics

“…This process can therefore be used for finishing complex-shaped components. The BCVF approach combines the benefits of vibratory peening [2][3][4] and vibration assistance polishing [5][6][7][8] to enhance surface quality while increasing machining efficiency. However, the insightful quantitative understanding of the BCVF remains very limited, restricting its practical application.…”

Simulation of the Circulating Motion of the Working Medium and Metal Removal during Multi-Energy Processing under the Action of Vibration and Centrifugal Forces

“…Among the number of above-mentioned features of multi-energy processing should be included a limited volume of the vibrating machine reservoir, in which the processing medium of the required characteristics and composition can be placed. The characteristics of the medium in terms of its physical, mechanical and physicochemical properties may be of a wide range [2][3][4]. These are solid, liquid, gaseous and combined, chemically active or inert media.…”