Smart Precision Manufacturing and Metrology
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E：Engineering and Technology".
Deadline for manuscript submissions: closed (15 August 2024) | Viewed by 2967
Special Issue Editors
Interests: precision engineering; ultra-precision machining technology; precision metrology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid growth in the demand for advanced products and high precision components for various industries (e.g., photonics, biomedical, semiconductor, advanced optics, aerospace, etc.) have imposed a lot of stringent requirements for their precision manufacturing and measurement in terms of higher accuracy, better surface finish, high geometrical complexity, and construction with difficult-to-machine and new materials, so as to meet the functional requirements of the products and surfaces. Smart precision manufacturing and measurement approaches based on artificial intelligence and advanced sensing technologies are emerging which attempts to achieve self-adaptive adjustment of the machining parameters and cutting conditions for active compensation of the uncertainty and errors generated during precision manufacturing. Moreover, there is a growing demand for the flexible deployment of precision manufacturing and measurement systems in the context of Industry 4.0, which has created great demand for in situ and/or in-process measurement in manufacturing environments when trying to maintain the position of the workpiece for further compensation processes to be run in order to improve the accuracy and efficiency of the precision manufacturing of complex 3D surfaces. This Special Issue focuses on, but is not limited to, the following key topics:
- Smart precision manufacturing processes;
- Artificial intelligence in precision metrology;
- Self-optimization;
- Intelligent instrumentation;
- Smart machines and toolings;
- In situ/on-machine/in-process measurement;
- Digital twin;
- Industrial Internet-of-things (IIoT);
- Machine learning based surface measurement and characterization;
- Advanced sensing technologies;
- Real-time/on-line process monitoring;
- Multi-sensor and data fusion methods.
Prof. Dr. Benny C. F. Cheung
Dr. Jizhou Li
Guest Editors
Manuscript Submission Information
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Keywords
- smart precision manufacturing
- smart precision metrology
- artificial intelligence
- machine learning
- advanced sensing
- self-optimization
- intelligent measurement and instrumentation
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