Recent Trends, Developments, and Emerging Technologies towards Sustainable Intelligent Machining: A Critical Review, Perspectives and Future Directions

Muhammad Asif, Hang Shen, Chunlin Zhou (), Yuandong Guo, Yibo Yuan, Pu Shao, Lan Xie and Muhammad Shoaib Bhutta
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Muhammad Asif: CNC System Research and Development Division, China Academy of Machinery Ningbo Academy of Intelligent Machine Tool Co., Ltd., Ningbo 315000, China
Hang Shen: CNC System Research and Development Division, China Academy of Machinery Ningbo Academy of Intelligent Machine Tool Co., Ltd., Ningbo 315000, China
Chunlin Zhou: CNC System Research and Development Division, China Academy of Machinery Ningbo Academy of Intelligent Machine Tool Co., Ltd., Ningbo 315000, China
Yuandong Guo: CNC System Research and Development Division, China Academy of Machinery Ningbo Academy of Intelligent Machine Tool Co., Ltd., Ningbo 315000, China
Yibo Yuan: CNC System Research and Development Division, China Academy of Machinery Ningbo Academy of Intelligent Machine Tool Co., Ltd., Ningbo 315000, China
Pu Shao: CNC System Research and Development Division, China Academy of Machinery Ningbo Academy of Intelligent Machine Tool Co., Ltd., Ningbo 315000, China
Lan Xie: CNC System Research and Development Division, China Academy of Machinery Ningbo Academy of Intelligent Machine Tool Co., Ltd., Ningbo 315000, China
Muhammad Shoaib Bhutta: School of Automotive and Transportation Engineering, Guilin University of Aerospace Technology, Guilin 541004, China

Sustainability, 2023, vol. 15, issue 10, 1-28

Abstract: Intelligent manufacturing is considered among the most important elements of the modern industrial revolution, which includes digitalization, networking, and the development of the intelligent manufacturing industry. With the progressive development of modern information technology, particularly the new generation of artificial intelligence (AI) technology, many new opportunities are coming into existence for intelligent machine tool (IMT) development. Intelligent machine tools offer diverse advantages, including learning and optimizing machining processes, error compensation, energy savings, and failure prevention. The paper focuses on the machine tool market in terms of global production, the leading machine tool-producing countries, and the leading countries’ market share in machine tool production. Moreover, the usage of various artificial intelligence techniques in intelligent machining operations is also considered in this comprehensive review, including machining parameter optimization, tool condition monitoring (TCM), and chatter vibration management of intelligent machine tools. Furthermore, future challenges for the machine tool industry are also highlighted.

Keywords: machine tools; intelligent machining; emerging technologies; artificial intelligence; machine learning; tool condition monitoring; optimization; chatter (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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