Thermal–Dynamic Error Modeling, Monitoring and Intelligent Control of Precision Machine Tools
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 29
Editors
Interests: thermal-related aspects of machine tools; including thermal error modeling; thermal-induced deformation analysis; thermal characteristics and compensation; thermal management for precision machining
Interests: machine tools; analytical modelling method; thermal balancing design; heat source layout; thermal deformation
Special Issues, Collections and Topics in MDPI journals
Interests: laser micro/nano manufacturing technology and its application; material design of machine tool structural component
Interests: advanced manufacturing processes and equipment design; intelligent manufacturing technology
Interests: laser interferometry; machine tool error measurement and compensation; mechanical assembly accuracy prediction and precision measurement
Interests: CNC machine tool forward design; geometric error identification and compensation; assembly precision regulation; integrated thermal error control and compensation technology
Special Issue Information
Dear Colleagues,
Precision machine tools are the cornerstone of modern advanced manufacturing, underpinning the production of high-value components across the aerospace, semiconductor, biomedical, and energy industries. As demands for higher accuracy, productivity, and reliability continue to grow, the intelligent design and precision control of machine tools face unprecedented challenges. Emerging technologies—such as digital twins, advanced sensing and artificial intelligence—are opening new avenues for modeling, predicting, and compensating machine tool errors throughout the entire lifecycle.
This Special Issue focuses on recent advances in innovative structural and mechanical design, error modeling and compensation, thermal/dynamic behavior analysis, digital twin technologies, and advanced control of machine tools. Both theoretical investigations and experimental studies that challenge current thinking, as well as practical engineering applications, are warmly encouraged. Through this collection, we hope to provide a comprehensive overview of state-of-the-art developments and to inspire future research directions in this rapidly evolving field.
Dr. Lingtao Weng
Prof. Dr. Weiguo Gao
Dr. Faze Chen
Dr. Shipeng Li
Dr. Junkang Guo
Dr. Wenjie Tian
Guest Editors
Manuscript Submission Information
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Keywords
- machine tools
- machine tool design and optimization
- machine tool assembly and integration
- error modeling and compensation
- error testing and measurement
- error traceability and calibration
- thermal control
- artificial intelligence in machine tools
- smart manufacturing
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