Artificial Intelligent in Manufacturing for CNC machine

This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.

To address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.

Specifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.