Smart Tools in Advanced Machining
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".
Deadline for manuscript submissions: closed (31 August 2025) | Viewed by 1075
Special Issue Editors
Interests: ultraprecision machining; in-process monitoring; on-machine measurement
Interests: tool condition monitoring; machine vision; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The performance of tools in machining processes directly impacts the precision of machining components as well as the stability and efficiency of the procedure. Smart tools integrate sensor technology, signal processing, artificial intelligence and cloud computing, and have functions that include the online monitoring of the machining status and the optimization of the machining process. This enhances the quality and production efficiency of the part, and reduces the cost of production . However, smart tools continue to face significant challenges, such as the design and optimization of smart tools, data processing for condition monitoring, the precise identification of the tool condition, and the real-time feedback control of the machining process.
In order to provide a comprehensive overview of the research progress in this field, disseminate excellent research results, and promote the development and application of smart tools, this Special Issue focuses on presenting measures for the design and optimization of smart tools, techniques for process condition monitoring, and predictive tool maintenance, etc.
The scope of this Special Issue includes, but is not limited to, the following:
- Smart tools with multi-sensor perception, e.g., force, temperature, vibration,acoustic emissions;
- Machining performance control based on smart tools;
- Design optimization for smart tools;
- Sensing and data processing for smart tools;
- Digital twin for smart tools;
- Tool coating;
- Integration and optimization of smart tools with CNC machining systems;
- Tool condition monitoring and predictive maintenance;
- Smart tool lifecycle management and sustainable development.
Dr. Duo Li
Dr. Zhichao You
Dr. Guoyu Yu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- smart tools
- machining performance control
- design optimization
- process condition monitoring
- tool predictive maintenance
- tool lifecycle management
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