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Feng Chia University, the Taiwan AI Academy, and Taiwan Takisawa Technology Co., Ltd. jointly presented the results of their collaboration under the AI Wind‑Fire Wheel Acceleration Project at the TMTS 2024 – Taiwan International Machine Tool Show, held from March 27 to March 31 at the Taipei Nangang Exhibition Center (TaiNEX).
The team’s showcase, titled “Igniting the Future with AI: Advancing Machine Tool Innovation Together”, drew significant attention. President Wei Wang of Feng Chia University was invited to deliver remarks on behalf of academia. The presentation was hosted by Bing‑Chen Kuo, Dean at the Taiwan AI Academy. Panel speakers included Sheng‑Mao Cheng, Manager at Taiwan Takisawa; Professor Huai‑Chung Hsu of Feng Chia University; Associate Manager Deng‑Hsu Li of Hua Shin Precision; and Ming‑Shun Tsai, Executive Officer of the Taiwan AI Academy. The event received overwhelming positive response.
The project team focused on CNC lathes in the machine tool industry and developed a deep‑learning model capable of predicting product quality and tolerance deviations based on equipment condition monitoring data. By installing sensors at key positions on CNC lathes, the team analyzed machining signal characteristics, dimensional measurements, and tool conditions through AI technologies and big data analytics. This led to the development of the AI‑Based Lathe Machining Quality and Tool Wear Pre‑diagnosis System. The system can rapidly calculate dimensional errors based on machining signals, significantly reducing manual inspection time and lowering hardware costs for automated measuring equipment.
For small and medium‑sized enterprises, digital transformation is often hindered by limited digital infrastructure and difficulty obtaining data. To address this, the project team worked closely with Taiwan Takisawa’s end‑user manufacturing partners, testing the system directly in real factory environments to enhance practicality and accelerate AI application deployment. The next phase will focus on building an AI Smart Manufacturing Open Platform to lower data collection and model training barriers for machine tool manufacturers developing AI‑enabled equipment, ultimately reducing obstacles during the initial stages of smart‑manufacturing adoption.
Since June 2022, Academician Hsiang‑Chung Kung has promoted the AI Wind‑Fire Wheel Initiative within central Taiwan’s machinery clusters. Inspired by the wind‑fire wheels of Nezha (a cultural icon), the initiative symbolizes AI’s powerful forward momentum in driving industrial transformation. The AI pre‑diagnosis system has already been successfully applied to external‑diameter machining processes in CNC lathes, with verification underway in collaboration with customers and productization in progress. In the future, the system will expand to more machining types and machine models, enhancing the overall competitiveness of the machine tool industry.
Feng Chia University, the Taiwan AI Academy, and Taiwan Takisawa jointly participated in the AI Wind‑Fire Wheel Acceleration Project. (Front row, right to left: Professor Che‑Wei Chou and President Wei Wang of Feng Chia University; back row, second from left: Professor Huai‑Chung Hsu.)
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