Modeling and Optimization of Precision Micro-manufacturing
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 559
Special Issue Editor
Interests: precision cutting manufacturing; microcutting manufacturing; nanofluid minimum quantity lubrication applications; fuzzy control; neural networks; quality engineering
Special Issue Information
Dear Colleagues,
As recent technological advances accelerate the development of highly miniaturized devices, precision micro-manufacturing has become a crucial trend. It is now commonly used in widely varying industries, including electronics, communications, biomedicine, and aerospace engineering. In order to further improve and achieve the advanced performance of precision micro-manufacturing, data-driven modeling, monitoring, and online optimization technology have received increasing attention. However, with the significant improvement in the development level of intelligent modeling and optimization methods, the modeling and optimization of precision micro-manufacturing systems have become increasingly challenging and face considerable challenges. Although significant progress has been made in the field of AI-assisted modeling and optimization methods, it is important to note that these developments are still in their infancy.
This Special Issue focuses on the precision micro-manufacturing process and the results of new intelligent modeling and optimization methods. It will provide useful and valuable contributions to engineers and researchers in related fields.
Many thanks and I hope you consider contributing to this Special Issue.
Prof. Dr. Weitai Huang
Guest Editor
Manuscript Submission Information
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Keywords
- precision micro-manufacturing
- optimization
- multi-objective optimization
- data-driven modeling
- model predictive control
- adaptive control
- optimization algorithm
- smart algorithm
- artificial neural networks
- artificial intelligence
- machine learning
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