Comparison of Analytical and Artificial Intelligent Models for Quality Assurance in Micro-milling Operations

Despite the high performance of artificial intelligent (AI) models for part quality prediction and control in machining operations, only well-known analytical models are commonly used in industry. This paper compares different analytical models with AI models for quality assurance in the fabrication of fluidic channels in micro-milling operations. The comparison of both types of models is conducted in terms of accuracy, ability for optimizing the operation ensuring part quality, and prediction robustness from environmental changes. The results show the main differences between these two types of models and reflect their advantages and drawbacks according to the analyzed application.